What percentage of an Inbound marketer's day doesn't involve working with spreadsheets? How much of this work is time-consuming and repetitive? In this interactive session, you will learn how to manipulate Google Sheets to automate common data analysis workflows using Python, a very easy to use programming language.
Google Lighthouse is super valuable but it only checks one page at a time.
Hamlet will show you how to get it to check all pages of a site, and how to run automated Lighthouse checks on-demand at scheduled intervals and from automated tests.
He'll also cover how to set performance budgets, how to get alerts when budgets are exceeded, and how to aggregate page reports using BigQuery and Google Data Studio.
BrightonSEO March 2021 | Dan Taylor, Image Entity TagsDan Taylor
My talk from BrightonSEO 2021; focusing on using Google's image category labels (glancing into the Knowledge Graph and Google's image annotation processes) for better topic research and content optimization.
A pipeline of reading, parsing, optimizing, and storing a log file to parquet.
This script uses the Python pandas library, utilizing the efficient Apache Parquet format for a big speed up and efficient storage.
A beginner's guide to machine learning for SEOs - WTSFest 2022LazarinaStoyanova
This is a guide for machine learning for beginners, tailored to the SEO industry, aimed at breaking down the challenges that hold us back from experimenting, the breakdown of machine learning's main characteristics to help us understand how to implement it a bit better, and the ways we can embed advanced technology into our daily practice.
Coronavirus and Future of SEO: Digital Marketing and Remote CultureKoray Tugberk GUBUR
I have attended a great SEO and Digital Marketing webinar with Founder of Stradiji and SEMRush Turkey Lead Mr. Mert Erkal and My Dearest Friend and SEO Consultant Atakan Erdoğan.
Small Note: After I uploaded the presentation, Google launched a new Covid-19 news address like Bing/covid-19. You may want to look at it -> https://www.google.com/covid-19
I have prepared a Presentation about Coronavirus's Effects on Search Engine Optimization (SEO).
You will find Coronavirus's changing effects on Digital Marketing and psychology of global society while using Search Engines.
I also have focused on Search Engine's and Social Media Brands, E-commerce Site's reflexes against Coronavirus Pandemic.
You will see the web sites and categories who earn more traffic and lose traffic. You will also see conversion rate differences because of Coronavirus.
Also, I have told about Search Engine's differences and their attitude against the Coronavirus Pandemic, their future, their updates during the pandemic.
In the last part, you will see some new 2020 Web Technology and Design Trends with AI.
There are also Google Researches for better Search Engine technologies.
Questions:
1- What are the differences between Yandex, Google, Bing, and Duckduckgo for Coronavirus Pandemic?
2- Twitter, Instagram, Amazon or Apple, what are they doing?
3- What do people search most for during the Coronavirus Crisis?
4- What changes from country to country?
5- What are the future technologies of Web and App?
6- How and why do Search Engines improve AI, what is the last events?
7- Which sites loose traffic and which earn more?
8- Lots of quotes from International SEOs about the pandemic.
And more...
I am Koray Tuğberk GÜBÜR and a Holistic SEO Expert.
I sincerely thank you for my Dearest Friend Atakan Erdoğan and Mr. Mert Erkal for this awesome webinar opportunity and experience.
To watch the webinar, please visit Stradiji's Official Youtube Channel.
https://www.youtube.com/watch?v=V4sJTNcRqaM&t=100s
Google Lighthouse is super valuable but it only checks one page at a time.
Hamlet will show you how to get it to check all pages of a site, and how to run automated Lighthouse checks on-demand at scheduled intervals and from automated tests.
He'll also cover how to set performance budgets, how to get alerts when budgets are exceeded, and how to aggregate page reports using BigQuery and Google Data Studio.
BrightonSEO March 2021 | Dan Taylor, Image Entity TagsDan Taylor
My talk from BrightonSEO 2021; focusing on using Google's image category labels (glancing into the Knowledge Graph and Google's image annotation processes) for better topic research and content optimization.
A pipeline of reading, parsing, optimizing, and storing a log file to parquet.
This script uses the Python pandas library, utilizing the efficient Apache Parquet format for a big speed up and efficient storage.
A beginner's guide to machine learning for SEOs - WTSFest 2022LazarinaStoyanova
This is a guide for machine learning for beginners, tailored to the SEO industry, aimed at breaking down the challenges that hold us back from experimenting, the breakdown of machine learning's main characteristics to help us understand how to implement it a bit better, and the ways we can embed advanced technology into our daily practice.
Coronavirus and Future of SEO: Digital Marketing and Remote CultureKoray Tugberk GUBUR
I have attended a great SEO and Digital Marketing webinar with Founder of Stradiji and SEMRush Turkey Lead Mr. Mert Erkal and My Dearest Friend and SEO Consultant Atakan Erdoğan.
Small Note: After I uploaded the presentation, Google launched a new Covid-19 news address like Bing/covid-19. You may want to look at it -> https://www.google.com/covid-19
I have prepared a Presentation about Coronavirus's Effects on Search Engine Optimization (SEO).
You will find Coronavirus's changing effects on Digital Marketing and psychology of global society while using Search Engines.
I also have focused on Search Engine's and Social Media Brands, E-commerce Site's reflexes against Coronavirus Pandemic.
You will see the web sites and categories who earn more traffic and lose traffic. You will also see conversion rate differences because of Coronavirus.
Also, I have told about Search Engine's differences and their attitude against the Coronavirus Pandemic, their future, their updates during the pandemic.
In the last part, you will see some new 2020 Web Technology and Design Trends with AI.
There are also Google Researches for better Search Engine technologies.
Questions:
1- What are the differences between Yandex, Google, Bing, and Duckduckgo for Coronavirus Pandemic?
2- Twitter, Instagram, Amazon or Apple, what are they doing?
3- What do people search most for during the Coronavirus Crisis?
4- What changes from country to country?
5- What are the future technologies of Web and App?
6- How and why do Search Engines improve AI, what is the last events?
7- Which sites loose traffic and which earn more?
8- Lots of quotes from International SEOs about the pandemic.
And more...
I am Koray Tuğberk GÜBÜR and a Holistic SEO Expert.
I sincerely thank you for my Dearest Friend Atakan Erdoğan and Mr. Mert Erkal for this awesome webinar opportunity and experience.
To watch the webinar, please visit Stradiji's Official Youtube Channel.
https://www.youtube.com/watch?v=V4sJTNcRqaM&t=100s
Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...Koray Tugberk GUBUR
Semantic Search Engines can understand human language to analyze the need behind a query. Instead of focusing, string, or word matching, a semantic search engine focuses on concepts, intents, and relations of named entities. Taxonomy, ontology, onomastics, semantic role labeling, relation detection, lexical semantics, entity extraction, recognition, resolution can be used by semantic search engines. In this PDF file, semantic search engines' evolution will be processed based on Google Search Engine's research papers, patents, and official announcements. From 1998 to 20021, search's and search engines' evolution, from strings to things, from phrases to entities will be told along with query processing, and parsing methodology changes.
As opposed to lexical search, semantic searching searches for meaning, not meaningless matches of the query words. Semantic search attempts to increase the relevancy of results by understanding searchers' intents and the context of terms in the searchable dataspace, whether online or within a closed system. The right semantic search content is a blend of natural language, focuses on the intent of the user, and considers other topics the user may be interested in.
Ontologies, XML, and other structured data sources can be used to retrieve knowledge using semantic search according to some authors. The use of such technologies provides a mechanism for creating formal expressions of domain knowledge that are highly expressive and may allow the user to express more detailed intent during query processing.
Whilst passage indexing may seem like a small tweak to search ranking, it is potentially much more symptomatic of the beginning of a fundamental shift in the way that search engines understand unstructured content, determine relevance in natural language, and rank efficiently and effectively.
It could also be a means of assessing overall quality of content and a means of dynamic index pruning. We will look at the landscape, and also provide some takeaways for brands and business owners looking to improve quality in unstructured content overall in this fast changing landscape.
How to approach SEO in a world where Google has moved from strings and keywords to things, topics and entities. Dixon JOnes is the CEO of InLinks, who have build a proprietory NLP algorithm and Knowledge Graph designed for the SEO Industry.
7 E-Commerce SEO Mistakes & How to Fix Them #DeepSEOConAleyda Solís
Avoid the most common SEO issues, challenges and mistakes by going through this presentation with tips, criteria and tools to use independently of your online store Web platform, and grow your organic search results
Simple guidelines for your online presence and marketing, utilizing basics of digital marketing, as well as the main ideas behind antifragility and asymmetry .
The main online marketing strategy discussed is establishing yourself (company) as an authority/expert in your field. You do this very well and consistently such that people want to work with you (customers, investors, collaborators, etc.).
The main tool for establishing your presence is creating useful content that demonstrates your expertise. The main focus is on timeless topics to have time work with you, not against you.
Good luck!
Lexical Semantics, Semantic Similarity and Relevance for SEOKoray Tugberk GUBUR
Lexical semantics and relations between words include relations of superiority, inferiority, part, whole, opposition, and sameness between the meanings of words. The same word can be a meronymy, hyponym, or antonym of another word, depending on the word before or after it. The lexical relation value of the first word can affect the structure of the next word, affecting the context of the sentence and the Information Retrieval Score. Information Retrieval Score is the score that determines how much content is related to a query, how close the different variants of the related query are, and the structure processed by the search engine’s query processor to the relevant document. A higher information retrieval score represents better relevance and possible click satisfaction.
The problem with a semi-structured and distracting context for Information Retrieval Score is that, if a document is not configured for a single topic, the IR Score can be diluted by the two different contexts resulting in a relative rank lost to another textual document.
IR Score Dilution involves badly structured lexical relations, along with bad word proximity. The relevant words that complete each other within the meaning map should be used closely, within a paragraph or section of the document, to signal the context in a more clear way to increase the IR Score. A search engine can check whether the document contains the hyponym of the words within the query or not. A possible query prediction can be generated from the hypernyms of the query. A search engine can check only the anchor texts to see whether there is a word within the “hyponym distance” which represents the hyponym depth between two different words.
Lexical Relations can represent the semantic annotations for a document. A semantic annotation is a word that describes the document overall in terms of category and main context that carries the purpose of the document. A semantic annotation can contain the main entity of the document or a general concept for covering a broader meaning area (knowledge domain). Semantic Annotations can be generated with the lexical relations between words. A semantic annotation can be used to match the document to the query. Semantic annotations are factors for a better IR Score.
A search engine can generate phrase patterns from the lexical relationships between words within the queries or the documents. A phrase pattern contains sections that define a concept with qualifiers. Phrase patterns can contain a hyponym just after an adjective, or a hypernym with the antonym of the same adjective. Most of these connections and patterns are used within the Recurrent Neural Network (RNN) for the next word prediction. A phrase pattern helps a search engine to increase its confidence score for relating the document to the specific query, or the meaning of the query.
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...Koray Tugberk GUBUR
How Search Engines Leverage Opinion-based Articles for Ranking?
Search engines use opinions, and factoids to understand the consensus. News search engines use different reports, and opinions in their search results to satisfy the urgent news information needed by the newsreaders. The news search engines differentiate disinformation from information to protect the newsreaders. Google, Microsoft Bing, Yandex, and DuckDuckGo have different algorithms and prioritization for classifications of the news sources, or prioritization of the news, and newsworthy topics.
Corroboration of the Web Answers from the Open Web is a research paper from Amelia Marian and Minji Wu explaining how a search engine can rank information according to its accuracy.
Google started to explain that the Expertise-Authoriteveness-Trustworthiness is the most important group of signals to be sure that a result won't shame the search engine. Embarrassment factors for the search engines involve wrong information on a news title on the news story, or a wrong featured snippet. A search engine might be shame due to the bad result that is ranking on the SERP.
Dense-retrieval, context scoring, named entity recognition, semantic role labeling, truth ranges, fix points, confidence score, query processing, and parsing.
Context understanding requires processing the text, and tokenizing the words by recognizing the word sense. Processing the text of the news articles requires time. And, most of the time, news search engines do not have enough time for processing the text. Thus, PageRank provides a sustainable timeline for the news sources for rankings.
PageRank is a quick signal for search engines to show the authenticity of the news web source. The highly cited sources are ranked higher, and longer on the top stories. Usually, Google protects the high PageRank sources by trusting the judgment of the websites. But, fact-finding algorithms do not use PageRank mostly, unless they couldn't decide by looking at other factors, or they do not have enough resources to process the text among the hundreds of sources.
News ranking algorithms differentiate opinions, reports, and breaking news from each other. News-related entities, their co-existence, and contextual relations change. Google inventors suggest differentiation of these entities from each other for a proper news categorization.
News categorization is important to match the interested topics of the users in queryless news feeds such as Google Discover. Google Discover is a queryless news feed that serves news stories according to the users' interest areas.
An opinion for news might be misleading. Some news titles might be too harsh, or strict. Search engines use these headlines to differentiate the non-trustworthy news sources from the trustworthy ones. And, opinions of journalists or their different interpretations of the events might change the rankings of a document according to the fact-finding algorithms.
En esta charla se explican casos de uso concretos para agilizar análisis SEO utilizando programación, en este caso, R y Rstudio, como por ejemplo:
- Sustituir tareas tediosas y repetitivas de excel
- Fusionar datos entre distintas herramientas SEO, que por defecto, no nos dan y crear visualizaciones automáticamente
- Trabajar series temporales para entender mejor tendencias, ciclos y eventos externos que afecten
- Atacar APIs de distintos servicios, útiles para SEO, como SISTRIX, Google Analytics, Google Search Console, Google Trends, Twitter, etc.
Próximamente compartiré una guía paso a paso para iniciarse en R y agilizar los análisis SEO.
SEO Low hanging Fruit: Identifying SEO Opportunities to Achieve Results Fast ...Aleyda Solís
How can you achieve results in your SEO process without having to wait for months? In this presentation I go through criteria to use to identify quick win opportunities!
BrightonSEO - Master Crawl Budget Optimization for Enterprise WebsitesManick Bhan
For every website on the internet, Google has a fixed budget for how many pages their bots can and are willing to crawl. The internet is a big place, so Googlebot can only spend so much time crawling and indexing our websites. Crawl budget optimization is the process of ensuring that the right pages of our websites end up in Google’s index and are ultimately shown to searchers.
Google’s recommendations for optimizing crawl budget are rather limited, because Googlebot crawls through most websites without reaching its limit. But enterprise-level and ecommerce sites with thousands of landing pages are at risk of maxing out their budget. A 2018 study even found that Google’s crawlers failed to crawl over half of the webpages of larger sites in the experiment.
Influencing how crawl budget is spent can be a more difficult technical optimization for strategists to implement. But for enterprise-level and ecommerce sites, it’s worth the effort to maximize crawl budget where you can. With a few tweaks, site owners and SEO strategists can guide Googlebot to regularly crawl and index their best-performing pages.
Semantic Content Networks - Ranking Websites on Google with Semantic SEOKoray Tugberk GUBUR
Semantic Content Networks are the semantic networks of things with relations, directed graphs, attributes and facts. Every declaration, and proposition for semantic search represent a factual repository. Open Information Extraction is a methodology for creation of a semantic network. The Knowledge Base and Knowledge Graph are connected things to each other in terms of factual repository usage. The Knowledge Base represents a factual repository with descriptions and triples. Knowledge Graph is the visualized version of the Knowledge Base. A semantic network is knowledge representation. Semantic Network is prominent to understand the value of an individual node, or the similar and distant members of the same semantic network. Semantic networks are implemented for the search engine result pages. Semantic networks are to create a factual and connected question and answer networks. A semantic network can be represented and consist of from textual and visual content. Semantic Network include lexical parts and lexical units.
Links, Nodes, and Labels are parts of the semantic networks. Procedural Parts are constructors, destructors, writers and readers. Procedural parts are to expand the semantic networks and refresh the information on it.
Structural Part has links and nodes. Semantic part has the associated meanings which are represented as the labels.
The semantic content networks have different types of relations and relation types.
Semantic content networks have "and/OR" trees.
Semantic Content Networks have "Relation Type Examples" with "is/A" hierarchies.
Semantic Content Networks have "is/Part" Hierarchy.
Inheritance, reification, multiple inheritance, range queries and values, intersection search, complex semantic networks, inferential distance, partial ordering, semantic distance, and semantic relevance are concepts from semantic networks.
Semantic networks help understanding semantic search engines and the semantic SEO. Because, it contains all of the related lexical relations, semantic role labels, entity-attribute pairs, or triples like entity, predicate and object. Search engines prefer to use semantic networks to understand the factuality of a website. Knowledge-based Trust is related to the semantic networks because it provides a factuality related trust score to balance the PageRank. The knowledge-based Trust is announced by Luna DONG. Ramanathan V. Guha is another inventor from the Google and Schema.org. He focuses on the semantic web and semantic search engine behaviors. He explored and invented the semantic search engine related facts.
Semantic Content Networks are used as a concept by Koray Tuğberk GÜBÜR who is founder of Holistic SEO & Digital. Expressing semantic content networks helps to shape the semantic networks via textual and visual content pieces. The semantic content networks are helpful to shape the truth on the open web, and help a search engine to rank a website even if there is no external PageRank flow.
SEO Case Study - Hangikredi.com From 12 March to 24 September Core UpdateKoray Tugberk GUBUR
Start Summary:
"131% Organic Session Increase in 5 Months
62% Impression Increase in 5 Months
144% Clicks Increase in 5 Months"
This SEO Case study is about Google Core Updates and their impacts on biggest financial institution website in Turkey.
I have started to work in Hangikredi.com at 26 March 2019. But, the company's website had been affected by 12 March Google Core Update very negatively.
I had started to work in here while a crisis had been happening.
I had examined the web site and figured it out that the real problems were crawl budget, authority signasl and relevancy-entity connection. I have activated social media, Google My Bussiness accounts, I have entered financial forums, every other alternative channel. I created a news publisher network about us. I cleaned the misleading status codes, HTML and CSS mistakes, optimised meta tags, fixed the redirection chains, I used the image compressions and deleted lots of unnecessary URL and their contents, I created the internal link structure from scratch.
Until 5 June Google Core Update, we were winners again.
We had regained all of our traffic lost. Until 1 August server atack, we were okay, then in one day, everything went wrong.
I had started from 0 again...
I had been optimising web site's offpage signals for regain the trust of Google AI and I had been supporting this strategy with onpage elements.
After 24th September Google Core Update, there was another success. We breaked the crawl load/rate record, avarage site position, CTR and impression, click records for site history.
In this CASE Study, you are gonna find details of a SEO Success Story with graphics and also some funny cencor images from my life.
End Summary:
"12 March, 5 june and 24 September Google Core Updates with 1 August Server Atack are the milestones of this SEO Casse Study. You will find all details from our view of point. I hope you will like it."
The Reason Behind Semantic SEO: Why does Google Avoid the Word PageRank?Koray Tugberk GUBUR
This article delves into the concepts of Semantic SEO, Topical Authority, and PageRank, exploring their relationships and how they benefit both website owners and search engines. By leveraging Natural Language Processing (NLP) techniques, Semantic SEO improves search engine comprehension of content and enhances user experience, ultimately leading to better search results.
In the ever-evolving world of Search Engine Optimization (SEO), understanding the intricate connections between Semantic SEO, Topical Authority, and PageRank is crucial for webmasters, content creators, and marketers. These concepts play a vital role in enhancing the visibility and relevance of websites in search results.
Semantic SEO: Going Beyond Keywords
Semantic SEO involves optimizing content by focusing on the meaning and context of words, phrases, and sentences rather than merely targeting specific keywords. This is achieved through NLP techniques such as topic modeling, sentiment analysis, and entity recognition, which allow search engines to comprehend the true essence of content.
Topical Authority: Establishing Expertise and Trustworthiness
Topical Authority refers to the perceived expertise of a website or content creator in a specific subject area. By producing high-quality, relevant, and in-depth content, websites can establish themselves as authorities, earning the trust of both users and search engines. This translates into higher search rankings and increased visibility.
PageRank: Measuring the Importance of Webpages
PageRank is an algorithm used by Google to determine the significance of a webpage by analyzing the quality and quantity of its inbound links. A higher PageRank implies that a website is more authoritative and valuable, thus warranting a better position in search results.
The Interrelation of Semantic SEO, Topical Authority, and PageRank
Semantic SEO, Topical Authority, and PageRank are interconnected concepts that work in tandem to improve a website's search performance. By focusing on Semantic SEO, content creators can enhance their Topical Authority and establish a solid online presence. This, in turn, can lead to higher PageRank and improved search visibility.
The Benefits of Semantic SEO for Search Engines
Semantic SEO not only benefits website owners but also search engines by reducing the cost of understanding documents. With the help of NLP techniques, search engines can efficiently analyze and comprehend content, making it easier to identify and index relevant webpages. This ultimately leads to more accurate search results and a better user experience.
In conclusion, embracing Semantic SEO, Topical Authority, and PageRank is essential for achieving higher search rankings and increased online visibility. By leveraging NLP techniques, Semantic SEO offers a more sophisticated and efficient approach to understanding and optimizing content, ultimately benefiting both website owners and search engines.
The Quickest Win in SEO – How to do Internal Linking the Right WayMartin Hayman
This was a talk from BrightonSEO September 2021 and covers not only the importance of internal linking but also how to do it. It also covers a number of examples and additional tips.
In this talk, Beth will give an introduction of what schema is, where it sits within a structured data framework, and its use cases. Then she’ll move on to the types that can be used or are no longer recognised by search engines. This will be followed by a hands-on discussion of how to audit a website, how to write the relevant code, and ways to implement and test.
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...Connected Data World
Do you want to learn how to use the low-hanging fruit of knowledge graphs — schema.org and JSON-LD — to annotate content and improve your SEO with semantics and entities? This hands-on workshop with one of the leading Semantic SEO practitioners will help you get started.
Semantic Search Engine: Semantic Search and Query Parsing with Phrases and En...Koray Tugberk GUBUR
Semantic Search Engines can understand human language to analyze the need behind a query. Instead of focusing, string, or word matching, a semantic search engine focuses on concepts, intents, and relations of named entities. Taxonomy, ontology, onomastics, semantic role labeling, relation detection, lexical semantics, entity extraction, recognition, resolution can be used by semantic search engines. In this PDF file, semantic search engines' evolution will be processed based on Google Search Engine's research papers, patents, and official announcements. From 1998 to 20021, search's and search engines' evolution, from strings to things, from phrases to entities will be told along with query processing, and parsing methodology changes.
As opposed to lexical search, semantic searching searches for meaning, not meaningless matches of the query words. Semantic search attempts to increase the relevancy of results by understanding searchers' intents and the context of terms in the searchable dataspace, whether online or within a closed system. The right semantic search content is a blend of natural language, focuses on the intent of the user, and considers other topics the user may be interested in.
Ontologies, XML, and other structured data sources can be used to retrieve knowledge using semantic search according to some authors. The use of such technologies provides a mechanism for creating formal expressions of domain knowledge that are highly expressive and may allow the user to express more detailed intent during query processing.
Whilst passage indexing may seem like a small tweak to search ranking, it is potentially much more symptomatic of the beginning of a fundamental shift in the way that search engines understand unstructured content, determine relevance in natural language, and rank efficiently and effectively.
It could also be a means of assessing overall quality of content and a means of dynamic index pruning. We will look at the landscape, and also provide some takeaways for brands and business owners looking to improve quality in unstructured content overall in this fast changing landscape.
How to approach SEO in a world where Google has moved from strings and keywords to things, topics and entities. Dixon JOnes is the CEO of InLinks, who have build a proprietory NLP algorithm and Knowledge Graph designed for the SEO Industry.
7 E-Commerce SEO Mistakes & How to Fix Them #DeepSEOConAleyda Solís
Avoid the most common SEO issues, challenges and mistakes by going through this presentation with tips, criteria and tools to use independently of your online store Web platform, and grow your organic search results
Simple guidelines for your online presence and marketing, utilizing basics of digital marketing, as well as the main ideas behind antifragility and asymmetry .
The main online marketing strategy discussed is establishing yourself (company) as an authority/expert in your field. You do this very well and consistently such that people want to work with you (customers, investors, collaborators, etc.).
The main tool for establishing your presence is creating useful content that demonstrates your expertise. The main focus is on timeless topics to have time work with you, not against you.
Good luck!
Lexical Semantics, Semantic Similarity and Relevance for SEOKoray Tugberk GUBUR
Lexical semantics and relations between words include relations of superiority, inferiority, part, whole, opposition, and sameness between the meanings of words. The same word can be a meronymy, hyponym, or antonym of another word, depending on the word before or after it. The lexical relation value of the first word can affect the structure of the next word, affecting the context of the sentence and the Information Retrieval Score. Information Retrieval Score is the score that determines how much content is related to a query, how close the different variants of the related query are, and the structure processed by the search engine’s query processor to the relevant document. A higher information retrieval score represents better relevance and possible click satisfaction.
The problem with a semi-structured and distracting context for Information Retrieval Score is that, if a document is not configured for a single topic, the IR Score can be diluted by the two different contexts resulting in a relative rank lost to another textual document.
IR Score Dilution involves badly structured lexical relations, along with bad word proximity. The relevant words that complete each other within the meaning map should be used closely, within a paragraph or section of the document, to signal the context in a more clear way to increase the IR Score. A search engine can check whether the document contains the hyponym of the words within the query or not. A possible query prediction can be generated from the hypernyms of the query. A search engine can check only the anchor texts to see whether there is a word within the “hyponym distance” which represents the hyponym depth between two different words.
Lexical Relations can represent the semantic annotations for a document. A semantic annotation is a word that describes the document overall in terms of category and main context that carries the purpose of the document. A semantic annotation can contain the main entity of the document or a general concept for covering a broader meaning area (knowledge domain). Semantic Annotations can be generated with the lexical relations between words. A semantic annotation can be used to match the document to the query. Semantic annotations are factors for a better IR Score.
A search engine can generate phrase patterns from the lexical relationships between words within the queries or the documents. A phrase pattern contains sections that define a concept with qualifiers. Phrase patterns can contain a hyponym just after an adjective, or a hypernym with the antonym of the same adjective. Most of these connections and patterns are used within the Recurrent Neural Network (RNN) for the next word prediction. A phrase pattern helps a search engine to increase its confidence score for relating the document to the specific query, or the meaning of the query.
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...Koray Tugberk GUBUR
How Search Engines Leverage Opinion-based Articles for Ranking?
Search engines use opinions, and factoids to understand the consensus. News search engines use different reports, and opinions in their search results to satisfy the urgent news information needed by the newsreaders. The news search engines differentiate disinformation from information to protect the newsreaders. Google, Microsoft Bing, Yandex, and DuckDuckGo have different algorithms and prioritization for classifications of the news sources, or prioritization of the news, and newsworthy topics.
Corroboration of the Web Answers from the Open Web is a research paper from Amelia Marian and Minji Wu explaining how a search engine can rank information according to its accuracy.
Google started to explain that the Expertise-Authoriteveness-Trustworthiness is the most important group of signals to be sure that a result won't shame the search engine. Embarrassment factors for the search engines involve wrong information on a news title on the news story, or a wrong featured snippet. A search engine might be shame due to the bad result that is ranking on the SERP.
Dense-retrieval, context scoring, named entity recognition, semantic role labeling, truth ranges, fix points, confidence score, query processing, and parsing.
Context understanding requires processing the text, and tokenizing the words by recognizing the word sense. Processing the text of the news articles requires time. And, most of the time, news search engines do not have enough time for processing the text. Thus, PageRank provides a sustainable timeline for the news sources for rankings.
PageRank is a quick signal for search engines to show the authenticity of the news web source. The highly cited sources are ranked higher, and longer on the top stories. Usually, Google protects the high PageRank sources by trusting the judgment of the websites. But, fact-finding algorithms do not use PageRank mostly, unless they couldn't decide by looking at other factors, or they do not have enough resources to process the text among the hundreds of sources.
News ranking algorithms differentiate opinions, reports, and breaking news from each other. News-related entities, their co-existence, and contextual relations change. Google inventors suggest differentiation of these entities from each other for a proper news categorization.
News categorization is important to match the interested topics of the users in queryless news feeds such as Google Discover. Google Discover is a queryless news feed that serves news stories according to the users' interest areas.
An opinion for news might be misleading. Some news titles might be too harsh, or strict. Search engines use these headlines to differentiate the non-trustworthy news sources from the trustworthy ones. And, opinions of journalists or their different interpretations of the events might change the rankings of a document according to the fact-finding algorithms.
En esta charla se explican casos de uso concretos para agilizar análisis SEO utilizando programación, en este caso, R y Rstudio, como por ejemplo:
- Sustituir tareas tediosas y repetitivas de excel
- Fusionar datos entre distintas herramientas SEO, que por defecto, no nos dan y crear visualizaciones automáticamente
- Trabajar series temporales para entender mejor tendencias, ciclos y eventos externos que afecten
- Atacar APIs de distintos servicios, útiles para SEO, como SISTRIX, Google Analytics, Google Search Console, Google Trends, Twitter, etc.
Próximamente compartiré una guía paso a paso para iniciarse en R y agilizar los análisis SEO.
SEO Low hanging Fruit: Identifying SEO Opportunities to Achieve Results Fast ...Aleyda Solís
How can you achieve results in your SEO process without having to wait for months? In this presentation I go through criteria to use to identify quick win opportunities!
BrightonSEO - Master Crawl Budget Optimization for Enterprise WebsitesManick Bhan
For every website on the internet, Google has a fixed budget for how many pages their bots can and are willing to crawl. The internet is a big place, so Googlebot can only spend so much time crawling and indexing our websites. Crawl budget optimization is the process of ensuring that the right pages of our websites end up in Google’s index and are ultimately shown to searchers.
Google’s recommendations for optimizing crawl budget are rather limited, because Googlebot crawls through most websites without reaching its limit. But enterprise-level and ecommerce sites with thousands of landing pages are at risk of maxing out their budget. A 2018 study even found that Google’s crawlers failed to crawl over half of the webpages of larger sites in the experiment.
Influencing how crawl budget is spent can be a more difficult technical optimization for strategists to implement. But for enterprise-level and ecommerce sites, it’s worth the effort to maximize crawl budget where you can. With a few tweaks, site owners and SEO strategists can guide Googlebot to regularly crawl and index their best-performing pages.
Semantic Content Networks - Ranking Websites on Google with Semantic SEOKoray Tugberk GUBUR
Semantic Content Networks are the semantic networks of things with relations, directed graphs, attributes and facts. Every declaration, and proposition for semantic search represent a factual repository. Open Information Extraction is a methodology for creation of a semantic network. The Knowledge Base and Knowledge Graph are connected things to each other in terms of factual repository usage. The Knowledge Base represents a factual repository with descriptions and triples. Knowledge Graph is the visualized version of the Knowledge Base. A semantic network is knowledge representation. Semantic Network is prominent to understand the value of an individual node, or the similar and distant members of the same semantic network. Semantic networks are implemented for the search engine result pages. Semantic networks are to create a factual and connected question and answer networks. A semantic network can be represented and consist of from textual and visual content. Semantic Network include lexical parts and lexical units.
Links, Nodes, and Labels are parts of the semantic networks. Procedural Parts are constructors, destructors, writers and readers. Procedural parts are to expand the semantic networks and refresh the information on it.
Structural Part has links and nodes. Semantic part has the associated meanings which are represented as the labels.
The semantic content networks have different types of relations and relation types.
Semantic content networks have "and/OR" trees.
Semantic Content Networks have "Relation Type Examples" with "is/A" hierarchies.
Semantic Content Networks have "is/Part" Hierarchy.
Inheritance, reification, multiple inheritance, range queries and values, intersection search, complex semantic networks, inferential distance, partial ordering, semantic distance, and semantic relevance are concepts from semantic networks.
Semantic networks help understanding semantic search engines and the semantic SEO. Because, it contains all of the related lexical relations, semantic role labels, entity-attribute pairs, or triples like entity, predicate and object. Search engines prefer to use semantic networks to understand the factuality of a website. Knowledge-based Trust is related to the semantic networks because it provides a factuality related trust score to balance the PageRank. The knowledge-based Trust is announced by Luna DONG. Ramanathan V. Guha is another inventor from the Google and Schema.org. He focuses on the semantic web and semantic search engine behaviors. He explored and invented the semantic search engine related facts.
Semantic Content Networks are used as a concept by Koray Tuğberk GÜBÜR who is founder of Holistic SEO & Digital. Expressing semantic content networks helps to shape the semantic networks via textual and visual content pieces. The semantic content networks are helpful to shape the truth on the open web, and help a search engine to rank a website even if there is no external PageRank flow.
SEO Case Study - Hangikredi.com From 12 March to 24 September Core UpdateKoray Tugberk GUBUR
Start Summary:
"131% Organic Session Increase in 5 Months
62% Impression Increase in 5 Months
144% Clicks Increase in 5 Months"
This SEO Case study is about Google Core Updates and their impacts on biggest financial institution website in Turkey.
I have started to work in Hangikredi.com at 26 March 2019. But, the company's website had been affected by 12 March Google Core Update very negatively.
I had started to work in here while a crisis had been happening.
I had examined the web site and figured it out that the real problems were crawl budget, authority signasl and relevancy-entity connection. I have activated social media, Google My Bussiness accounts, I have entered financial forums, every other alternative channel. I created a news publisher network about us. I cleaned the misleading status codes, HTML and CSS mistakes, optimised meta tags, fixed the redirection chains, I used the image compressions and deleted lots of unnecessary URL and their contents, I created the internal link structure from scratch.
Until 5 June Google Core Update, we were winners again.
We had regained all of our traffic lost. Until 1 August server atack, we were okay, then in one day, everything went wrong.
I had started from 0 again...
I had been optimising web site's offpage signals for regain the trust of Google AI and I had been supporting this strategy with onpage elements.
After 24th September Google Core Update, there was another success. We breaked the crawl load/rate record, avarage site position, CTR and impression, click records for site history.
In this CASE Study, you are gonna find details of a SEO Success Story with graphics and also some funny cencor images from my life.
End Summary:
"12 March, 5 june and 24 September Google Core Updates with 1 August Server Atack are the milestones of this SEO Casse Study. You will find all details from our view of point. I hope you will like it."
The Reason Behind Semantic SEO: Why does Google Avoid the Word PageRank?Koray Tugberk GUBUR
This article delves into the concepts of Semantic SEO, Topical Authority, and PageRank, exploring their relationships and how they benefit both website owners and search engines. By leveraging Natural Language Processing (NLP) techniques, Semantic SEO improves search engine comprehension of content and enhances user experience, ultimately leading to better search results.
In the ever-evolving world of Search Engine Optimization (SEO), understanding the intricate connections between Semantic SEO, Topical Authority, and PageRank is crucial for webmasters, content creators, and marketers. These concepts play a vital role in enhancing the visibility and relevance of websites in search results.
Semantic SEO: Going Beyond Keywords
Semantic SEO involves optimizing content by focusing on the meaning and context of words, phrases, and sentences rather than merely targeting specific keywords. This is achieved through NLP techniques such as topic modeling, sentiment analysis, and entity recognition, which allow search engines to comprehend the true essence of content.
Topical Authority: Establishing Expertise and Trustworthiness
Topical Authority refers to the perceived expertise of a website or content creator in a specific subject area. By producing high-quality, relevant, and in-depth content, websites can establish themselves as authorities, earning the trust of both users and search engines. This translates into higher search rankings and increased visibility.
PageRank: Measuring the Importance of Webpages
PageRank is an algorithm used by Google to determine the significance of a webpage by analyzing the quality and quantity of its inbound links. A higher PageRank implies that a website is more authoritative and valuable, thus warranting a better position in search results.
The Interrelation of Semantic SEO, Topical Authority, and PageRank
Semantic SEO, Topical Authority, and PageRank are interconnected concepts that work in tandem to improve a website's search performance. By focusing on Semantic SEO, content creators can enhance their Topical Authority and establish a solid online presence. This, in turn, can lead to higher PageRank and improved search visibility.
The Benefits of Semantic SEO for Search Engines
Semantic SEO not only benefits website owners but also search engines by reducing the cost of understanding documents. With the help of NLP techniques, search engines can efficiently analyze and comprehend content, making it easier to identify and index relevant webpages. This ultimately leads to more accurate search results and a better user experience.
In conclusion, embracing Semantic SEO, Topical Authority, and PageRank is essential for achieving higher search rankings and increased online visibility. By leveraging NLP techniques, Semantic SEO offers a more sophisticated and efficient approach to understanding and optimizing content, ultimately benefiting both website owners and search engines.
The Quickest Win in SEO – How to do Internal Linking the Right WayMartin Hayman
This was a talk from BrightonSEO September 2021 and covers not only the importance of internal linking but also how to do it. It also covers a number of examples and additional tips.
In this talk, Beth will give an introduction of what schema is, where it sits within a structured data framework, and its use cases. Then she’ll move on to the types that can be used or are no longer recognised by search engines. This will be followed by a hands-on discussion of how to audit a website, how to write the relevant code, and ways to implement and test.
From Knowledge Graphs to AI-powered SEO: Using taxonomies, schemas and knowle...Connected Data World
Do you want to learn how to use the low-hanging fruit of knowledge graphs — schema.org and JSON-LD — to annotate content and improve your SEO with semantics and entities? This hands-on workshop with one of the leading Semantic SEO practitioners will help you get started.
Google Opening up to Developers - From 2 to 55 APIs in 3 yearsPatrick Chanezon
Google Opening up to Developers: From 3 to 40 APIs in 2 years
In the past 2 years Google has gone from offering 3 SOAP APIs to its core services, Ads and Search, to more than 40 APIs using various technologies (REST, Ajax, Java) and covering a wide array of developer needs, with 2 main themes: giving developers programmatic access to Google services, and making the web better through standards and open source offerings (GWT, Gears). In 2007 Google started cooperating with other industry players to create new standard platforms in areas where they were needed: OpenSocial for social applications and Android for Mobile. During these 2 years Google has grown a team dedicated to developer relations.
apidays Paris 2022 - France Televisions : How we leverage API Platform for ou...apidays
apidays Paris 2022 - APIs the next 10 years: Software, Society, Sovereignty, Sustainability
December 14, 15 & 16, 2022
France Televisions : How we leverage API Platform for our content APIs
Georges-King Njock-Bôt, Freelance Symfony PHP Backend Developer
------
Check out our conferences at https://www.apidays.global/
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Building Beautiful REST APIs with ASP.NET CoreStormpath
Join Stormpath .NET Developer Evangelist, Nate Barbettini, to learn best practices for designing your REST API in ASP.NET Core. Nate will explain how to build HATEOS-compliant JSON APIs while supporting security best practices and even improving performance and scale.
Topics Covered:
What is REST and HATEOS?
How to think about RESTful APIs
How to model hypermedia in C#
Building JSON APIs in ASP.NET Core
Solving performance issues in Django ORMSian Lerk Lau
Django ORM, something we can fall in love at the first glance. The ease of programmatically schema definition, straightforward versioning, near no-frills ORM experience, cross-database support, and the list goes on...
However, if your boss(es) started to ask about faster API endpoints, one’s eyes may roll. This is even more evident in his situation, where cross-database support is needed owing to client requirements. So, what can we tell our boss(es)?
NOTE: There were mistakes in slides 35 and 36, where slide 35 is about "to-one" relationship and slide 36 is about "to-many" relationship. My bad :)
This is an adaptation of the presentation given at the SpringOne 2008 conference in Hollywood, FL. It contains some updates on project status, and also information about the recently published book "Spring Python 1.1"
This slideshow is licensed under a Creative Commons Attribution 3.0 United States License.
Application Program Interface (API) widely used for the programmers. It helps programmers to focus on their programming rather than the other features. API provides the facility to programmer for use the 'œPredefined Code'. Among them one type of API provides by the google that is chart API. Chart API is used to generate the chart from the data which are available on our database. Sometimes it would be very hard to develop such type of another system. Rather than we can use API and save the time and effort that can be use at proper place. This paper will describe how we can integrate the google chart API in the php website. Dr. Chetan R. Dudhagara | Mr. Ashish Joshi"API Integration in Web Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-2 , February 2017, URL: http://www.ijtsrd.com/papers/ijtsrd67.pdf http://www.ijtsrd.com/engineering/computer-engineering/67/api-integration-in-web-application/dr-chetan-r-dudhagara
How fiddling with GraphQL enhanced communications between our back and front ...CALLR
Find out more on : https://www.callr.com/
GraphQL from Facebook, along with the React and Relay it is sharing its ecosystem with, is a bit of a hot topic. Interestingly, it’s also the first one our back and front-end devs have shared a passionate technical conversation on — outside of almost everyone’s comfort zone. What better opportunity than this one to organize a little workshop and figure out, not what we could build, but what it takes to build better together? While covering some aspects of what GraphQL is, this talk covers the underlying interactions and human aspects affecting development teams.”
This presentation was given to some brilliant students in Bucharest who were working on various projects. It describes the basic features of Yahoo! BOSS as well as how to use a search API to build complete web sites and applications.
Spring, now part of Pivotal, continues to innovate and support next generation workloads. In this talk, I introduce some of the exciting new Spring technologies supporting websockets, Java 8, Java EE 7, data ingestion and stream processing, NoSQL and Hadoop, and production-ready REST, _and_ I introduce tools designed to expedite ramp-up time for teams who want to deliver, quickly.
Data Curation @ SpazioDati - NEXA Lunch SeminarSpazioDati
Some insights about data curation processes @ SpazioDati. How we're using Big Data tools, Linked Data technologies, to build our products: Dandelion API (dandelion.eu) and Atoka (atoka.io).
A Deep Dive Into SEO Tactics For Modern Javascript FrameworksHamlet Batista
Optimizing for the most popular JavaScript frameworks is a must for modern SEOs. Whether the site is built in React, Angular, or Vue, there are an increasing number of gotchas to consider. In this session, we're going to discuss everything that is required to deliver application shells that perform well in Google and Bing. Plus, we’ll take a close look at client-side hydration in all major frameworks, and the optimal configurations for SEO and page speed. Has evergreen Googlebot and Bingbot lived up to their promise? Let's find out with some cool experiments!
Automated Duplicate Content Consolidation with Google Cloud FunctionsHamlet Batista
Avoid duplicate content and don’t leave money on the table with unoptimized groups of pages linked by canonical declarations! Particularly in e-commerce, you can increase Google’s confidence by making sure your groups of product URLs are perfectly canonicalized and clear to search engines.
Creando una Sección de FAQS y su Marcado de Datos Estructurados en 30 MinutosHamlet Batista
Sin magia o secretos, Hamlet Batista, fundador y CEO de RankSense nos estará mostrando en tiempo real como realizar un correcto marcado de datos estructurados en FAQ, lo cual te permitirá mejorar tu visibilidad de cara a las intenciones de búsqueda de los usuarios en los buscadores.
Doing More with Less: Automated, High-Quality Content GenerationHamlet Batista
You're dealing with shrinking budgets, disappearing clients, and taking on the work of furloughed coworkers. How do you continue to deliver amazing results with limited time and resources?
Writing quality content that educates and persuades is still a surefire way to achieve your traffic and conversion goals. But the process is an arduous, manual job that doesn't scale.
Fortunately, the latest advances in Natural Language Understand and Generation offer some promising and exciting results.
Hamlet will walk you through what is possible right now using practical examples (and code!) that technical SEOs can follow and adapt for their business.
How to scale SEO work NOBODY wants to do (including your competitors) to rapi...Hamlet Batista
Webinar with Craig Smith, Founder, and CEO of Trinity Insight, in which I talk about how to get more work done faster with fewer resources to drive the performance of your SEO program and increase traffic.
Query Classification on Steroids with BERTHamlet Batista
“Machine learning can help you understand and predict intent in ways that simply aren’t possible manually. It can also help you find missed or unexpected connections between business goals and the habits of your key customer segments.”
Solving Complex JavaScript Issues and Leveraging Semantic HTML5Hamlet Batista
On this presentation we go deep on Chrome developer tools, JS debugger and breakpoints, technical optimization and capabilities of browser service workers to improve SEO and performance
Compelling data and visualizations make your content stand out by making it more credible, impactful, and engaging. If you could collect and analyze any data you need yourself, you could iterate faster and find insights that your developer may never find. A small investment of time learning Python, an easy-to-learn programming language, will pay off in higher-impact content.
Scaling automated quality text generation for enterprise sitesHamlet Batista
Writing quality content and meta data at scale is a big problem for most enterprise sites. In this webinar we are going to explore what is possible given the latest advances in deep learning and natural language processing.Our main focus is going to be about generating metadata: titles, meta descriptions, h1s, etc that are critical for technical SEO performance. But, we will cover full article generation as well.
My Generally Assembly Class of 2012
How to Diagnose Common SEO Problems
How to Perform Quick Competitor Analyses
Specific Recommendations for Correcting Site Architecture Issues, Improving Content, Keyword Strategy, Link Acquisition Strategy
How to Forecast SEO performance
How to Measure Progress
It's another new era of digital and marketers are faced with making big bets on their digital strategy. If you are looking at modernizing your tech stack to support your digital evolution, there are a few can't miss (often overlooked) areas that should be part of every conversation. We'll cover setting your vision, avoiding siloes, adding a democratized approach to data strategy, localization, creating critical governance requirements and more. Attendees will walk away with actions they can take into initiatives they are running today and consider for the future.
Most small businesses struggle to see marketing results. In this session, we will eliminate any confusion about what to do next, solving your marketing problems so your business can thrive. You’ll learn how to create a foundational marketing OS (operating system) based on neuroscience and backed by real-world results. You’ll be taught how to develop deep customer connections, and how to have your CRM dynamically segment and sell at any stage in the customer’s journey. By the end of the session, you’ll remove confusion and chaos and replace it with clarity and confidence for long-term marketing success.
Key Takeaways:
• Uncover the power of a foundational marketing system that dynamically communicates with prospects and customers on autopilot.
• Harness neuroscience and Tribal Alignment to transform your communication strategies, turning potential clients into fans and those fans into loyal customers.
• Discover the art of automated segmentation, pinpointing your most lucrative customers and identifying the optimal moments for successful conversions.
• Streamline your business with a content production plan that eliminates guesswork, wasted time, and money.
Most small businesses struggle to see marketing results. In this session, we will eliminate any confusion about what to do next, solving your marketing problems so your business can thrive. You’ll learn how to create a foundational marketing OS (operating system) based on neuroscience and backed by real-world results. You’ll be taught how to develop deep customer connections, and how to have your CRM dynamically segment and sell at any stage in the customer’s journey. By the end of the session, you’ll remove confusion and chaos and replace it with clarity and confidence for long-term marketing success.
Key Takeaways:
• Uncover the power of a foundational marketing system that dynamically communicates with prospects and customers on autopilot.
• Harness neuroscience and Tribal Alignment to transform your communication strategies, turning potential clients into fans and those fans into loyal customers.
• Discover the art of automated segmentation, pinpointing your most lucrative customers and identifying the optimal moments for successful conversions.
• Streamline your business with a content production plan that eliminates guesswork, wasted time, and money.
A.I. (artificial intelligence) platforms are popping up all the time, and many of them can and should be used to help grow your brand, increase your sales and decrease your marketing costs.In this presentation:We will review some of the best AI platforms that are available for you to use.We will interact with some of the platforms in real-time, so attendees can see how they work.We will also look at some current brands that are using AI to help them create marketing messages, saving them time and money in the process. Lastly, we will discuss the pros and cons of using AI in marketing & branding and have a lively conversation that includes comments from the audience.
Key Takeaways:
Attendees will learn about LLM platforms, like ChatGPT, and how they work, with preset examples and real time interactions with the platform. Attendees will learn about other AI platforms that are creating graphic design elements at the push of a button...pre-set examples and real-time interactions.Attendees will discuss the pros & cons of AI in marketing + branding and share their perspectives with one another. Attendees will learn about the cost savings and the time savings associated with using AI, should they choose to.
Videos are more engaging, more memorable, and more popular than any other type of content out there. That’s why it’s estimated that 82% of consumer traffic will come from videos by 2025.
And with videos evolving from landscape to portrait and experts promoting shorter clips, one thing remains constant – our brains LOVE videos.
So is there science behind what makes people absolutely irresistible on camera?
The answer: definitely yes.
In this jam-packed session with Stephanie Garcia, you’ll get your hands on a steal-worthy guide that uncovers the art and science to being irresistible on camera. From body language to words that convert, she’ll show you how to captivate on command so that viewers are excited and ready to take action.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
Come learn how YOU can Animate and Illuminate the World with Generative AI's Explosive Power. Come sit in the driver's seat and learn to harness this great technology.
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
Mastering Local SEO for Service Businesses in the AI Era is tailored specifically for local service providers like plumbers, dentists, and others seeking to dominate their local search landscape. This session delves into leveraging AI advancements to enhance your online visibility and search rankings through the Content Factory model, designed for creating high-impact, SEO-driven content. Discover the Dollar-a-Day advertising strategy, a cost-effective approach to boost your local SEO efforts and attract more customers with minimal investment. Gain practical insights on optimizing your online presence to meet the specific needs of local service seekers, ensuring your business not only appears but stands out in local searches. This concise, action-oriented workshop is your roadmap to navigating the complexities of digital marketing in the AI age, driving more leads, conversions, and ultimately, success for your local service business.
Key Takeaways:
Embrace AI for Local SEO: Learn to harness the power of AI technologies to optimize your website and content for local search. Understand the pivotal role AI plays in analyzing search trends and consumer behavior, enabling you to tailor your SEO strategies to meet the specific demands of your target local audience. Leverage the Content Factory Model: Discover the step-by-step process of creating SEO-optimized content at scale. This approach ensures a steady stream of high-quality content that engages local customers and boosts your search rankings. Get an action guide on implementing this model, complete with templates and scheduling strategies to maintain a consistent online presence. Maximize ROI with Dollar-a-Day Advertising: Dive into the cost-effective Dollar-a-Day advertising strategy that amplifies your visibility in local searches without breaking the bank. Learn how to strategically allocate your budget across platforms to target potential local customers effectively. The session includes an action guide on setting up, monitoring, and optimizing your ad campaigns to ensure maximum impact with minimal investment.
The digital marketing industry is changing faster than ever and those who don’t adapt with the times are losing market share. Where should marketers be focusing their efforts? What strategies are the experts seeing get the best results? Get up-to-speed with the latest industry insights, trends and predictions for the future in this panel discussion with some leading digital marketing experts.
5 big bets to drive growth in 2024 without one additional marketing dollar AND how to adapt to the biggest shifting eCommerce trend- AI.
1) Romance Your Customers - Retention
2) ‘Alternative’ Lead Gen - Advocacy
3) The Beautiful Basics - Conversion Rate Optimization
4) Land that Bottom Line - Profitability
5) Roll the Dice - New Business Models
When most people in the industry talk about online or digital reputation management, what they're really saying is Google search and PPC. And it's usually reactive, left dealing with the aftermath of negative information published somewhere online. That's outdated. It leaves executives, organizations and other high-profile individuals at a high risk of a digital reputation attack that spans channels and tactics. But the tools needed to safeguard against an attack are more cybersecurity-oriented than most marketing and communications professionals can manage. Business leaders Leaders grasp the importance; 83% of executives place reputation in their top five areas of risk, yet only 23% are confident in their ability to address it. To succeed in 2024 and beyond, you need to turn online reputation on its axis and think like an attacker.\
Key Takeaways:
- New framework for examining and safeguarding an online reputation
- Tools and techniques to keep you a step ahead
- Practical examples that demonstrate when to act, how to act and how to recover
In this presentation, Danny Leibrandt explains the impact of AI on SEO and what Google has been doing about it. Learn how to take your SEO game to the next level and win over Google with his new strategy anyone can use. Get actionable steps to rank your name, your business, and your clients on Google - the right way.
Key Takeaways:
1. Real content is king
2. Find ways to show EEAT
3. Repurpose across all platforms
Digital Money Maker Club – von Gunnar Kessler digital.focsh890
Title One is a comprehensive examination of the impact of digital technologies on
modern society. In a world where technology continues to advance rapidly, this article delves into the nuances and complexities of the digital age, exploring Its implications across various sectors and aspects of life.
SEO as the Backbone of Digital MarketingFelipe Bazon
In this talk Felipe Bazon will share how him and his team at Hedgehog Digital share our journey of making C-Levels alike, specially CMOS realize that SEO is the backbone of digital marketing by showing how SEO can contribute to brand awareness, reputation and authority and above all how to use SEO to create more robust global marketing strategies.
1. THE PYTHON CHEAT SHEET FOR
THE BUSY MARKETER
H A M L E T B A T I S T A
#INBOUND2020
2. Google Colaboratory
feature walkthrough
GOOGLE COLAB
Preparing your Python
notebook environment
SETUP
Publish your analysis to
Google Sheets directly
from Python
EXPORTING TO SHEETS
Convert your data
analysis into simpler to
understand formats
DATA TRANSFORMATION
Process API output to
extract insights
JSON PARSING
Run automated analysis
using Google
Lighthouse
API CALLING
AGENDA
T H E P Y T H O N C H E A T S H E E T F O R T H E
B U S Y M A R K E T E R
@hamletbatista
Fetch content from the
web
WEB SCRAPING
Basic data types,
Containers, Functions,
Classes
PYTHON BASICS
3. INTRODUCTION
P Y T H O N S O U R C E D D A T A S T U D I E S
Published April 7, 2020
PAGE SPEED SCORES OF EVERY
SHOPIFY THEME
Published June 23, 2020
ACCESSING ‘CORE WEB VITALS’ OF
EVERY SHOPIFY THEME
Our work in this presentation
AN SEO ASSESSMENT OF EVERY
SHOPIFY THEME
#INBOUND2020
https://bit.ly/31JXHJ1https://bit.ly/38tEixp https://bit.ly/31JXHJ1
@hamletbatista
4. We will run Google
Lighthouse SEO analysis
feature under mobile
emulation
GOOGLE LIGHTHOUSE
We will scrape the demo
sites of every theme
SHOPIFY THEME STORE
We will use a handy cheat
sheet spread over multiple
Python notebooks
CHEAT SHEET
PYTHON SOURCED
DATA STUDY
A M O B I L E S E O A S S E S S M E N T O F E V E R Y S H O P I F Y T H E M E
#INBOUND2020 @hamletbatista
5. POWERED BY GOOGLE
LIGHTHOUSE
A M O B I L E S E O A S S E S S M E N T O F E V E R Y S H O P I F Y T H E M E
#INBOUND2020 @hamletbatista
We will run Google
Lighthouse SEO analysis
feature under mobile
emulation
GOOGLE LIGHTHOUSE
We will scrape the demo
sites of every theme
SHOPIFY THEME STORE
We will use a handy cheat
sheet spread over multiple
Python notebooks
CHEAT SHEET
6. SETUP
1
Create a new Python notebook directly from
Google Drive
#INBOUND2020
U S I N G G O O G L E C O L A B O R A T O R Y
Getting Started:
• Overview of Colaboratory Features
@hamletbatista
7. GOOGLE COLAB
FEATURES
T U R N N O T E B O O K S I N T O P R O G R A M S
2
Google Colab’s includes many useful
features that simplify data acquisition,
preparation and analysis.
#INBOUND2020
Most common form fields:
input1 = “value” #@param {type:”string”}
input2 = 10 #@param {type:”integer”}
input3 = “2020-09-22” #@param {type:”date”}
@hamletbatista
8. PYTHON
BASICS
3
Google Colab requires Python code. Let’s
let’s review some of the basic constructs.
#INBOUND2020
T H E L A N G U A G E O F D A T A S C I E N C E
@hamletbatista
Python learning resources:
• An Introduction to Python for Technical SEO
• An Introduction to Python for SEO Pros Using Spreadsheets
• How to Use Python to Analyze SEO Data: A Reference Guide
9. 4
#INBOUND2020 @hamletbatista
WEB
SCRAPING
In our example, we will scrape the Shopify
Theme’s Store for theme names and demo
site URLs
F E T C H C O N T E N T F R O M T H E W E B
Example Scrapy spider changes:
• start_urls
• “Next page” CSS selector
• Elements to extract (theme name and link)
Learn more:
• Scrapy.org
10. API CALLING
5
In our example, we will call the Page Speed
Insights API to get SEO assessment metrics
and recommendations
#INBOUND2020
R U N A U T O M A T E D A N A L Y S I S
Most common request call:
r = requests.get(api_url, headers={'Accept': 'application/json'})
if r.status_code == 200:
return r.json()
Learn more:
• Requests: HTTP for Humans
@hamletbatista
11. JSON PARSING
P R O C E S S I N G A P I R E S P O N S E S
6
Complex JSON API responses can be a
pain to process. We will use JSONPath to
drastically simplify this.
#INBOUND2020
Most common JSONPath recipe:
json_path = “$.lighthouseResult.categories.seo.score”
jsonpath_tree = parse(json_path)
value = [match.value for match in jsonpath_tree.find(data)]
Learn more:
JSON JSONPath Tutorial
@hamletbatista
12. DATA
TRANSFORMATION
7
In our example, we will use Python pandas
to reorganize our study in a way that is easy
to interpret
#INBOUND2020
D A T A I S R A R E L Y I N T H E B E S T F O R M A T
Converting a list of dictionaries to Pandas Data Frame:
import pandas as pd
new_format = [{“column1_name”: “value”},{“column2_name”: “value”} ]
df = pd.DataFrame(new_format)
Learn more:
• 10 minutes to pandas
@hamletbatista
13. EXPORTING TO
SHEETS
G O O G L E S H E E T S I S S I M P L E R
8
Once we produce our data in Python we
can transfer it directly to Google Sheets
for further analysis and reporting
#INBOUND2020
Transferring a Pandas Data Frame to a Google Sheet :
spread = Spread("INBOUND2020", creds=creds)
spread.df_to_sheet(df, index=False, sheet="Themes SEO audits",
start='A1', replace=True)
Learn more:
• Examples of gspread Usage
• Introduction to gspread_pandas (video)
@hamletbatista
14. LOCATION
33 Wood Ave South
Suite 600
Iselin, NJ 08830
USA
PHONE
CONTACT US
+1 866.882.2983
https://www.ranksense.com
#INBOUND2020
ABOUT
RANKSENSE
A U T O M A T E A N D R U N S E O E X P E R I M E N T S
F R O M G O O G L E S H E E T S
@RankSense