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Automation & Deployment
Botify: Be Found
across all traditional and generative search engines
Aggregation & Prioritization
BRAND DATA Web Crawler Search intent via GSC Logs Data Revenue Data
DemandSphere
Overview
Enterprise-scale, visual SERP analytics
Automated SEO data warehouse & pipeline
The Modern SERP
Traditional Google Search Console metrics
Traditional metrics do not reveal factors that impact CTR
Average Position (Max. Potential Traffic)
Impressions (depends on Avg. Pos.)
Clicks
CTR
(clicks / impressions)
Traditional metrics do not reveal factors that impact CTR
Average Position (Max. Potential Traffic)
Impressions (depends on Avg. Pos.)
Clicks
CTR
(clicks / impressions)
What happened?
Derived metrics
What happened?
Derived metrics
Traditional metrics do not reveal factors that impact CTR
Average Position (Max. Potential Traffic)
Impressions (depends on Avg. Pos.)
Clicks
CTR
(clicks / impressions)
WHY?
What happened?
Derived metrics
What happened?
Derived metrics
Pixel depth and fold appearance determines attention
Attention determines click-through rates (CTR)
SERP shape is one of the best predictors of user
behavior on the internet
Visual SERP analytics enables pre-click predictions
330 pixels
540 pixels
Pixel depth:
900 pixels
Pixels =
Attention
Anatomy of an AI Overview
Google generative
overview
Key points
394
Average Pixel Height
Expanded AIO
example
Links:
Links overview
Links (show all)
Links are generally pulled from top
12 rankings and have a high cosine
similarity to the generated summary
Research study into AI Overview impact
120,778
Total Keywords
36,000
Commercial Keywords
85,638
Informational Keywords
22
Websites
10
E-Commerce
10
Brands
2
Publishers
Framing this study
Measuring AI
Overview impact
for your own brand
is critical
Framing this study
Measuring AI
Overview impact
for your own brand
is critical Global AI Overview
rollout is not
complete
Framing this study
Measuring AI
Overview impact
for your own brand
is critical Global AI Overview
rollout is not
complete
User behaviour is
diverse
running shoes
What are the best running shoes?
Leveraging Commercial + PAAs to “force” AIOs
Commercial
Informational
Can you wear running shoes for walking all day?
Informational
What shoes to run on a trail?
Informational
Are running shoes machine washable?
Informational
Total SERPs
120,778
Commercial
36,000
Informational
85,638
# of Sites
22
With AIOs
57,263
AIO %
47%
Keyword Set Breakdown SERPs with AIOs AIO Intent Breakdown
AI Overviews appeared for 47% of the keywords
19% of Commercial triggered AIO 59% of Informational triggered AIO
Commercial vs. Informational Breakdowns
55% of queries under 1,000 monthly searches trigger AIOs
Featured Snippets appear
regularly, even when AI
Overviews are present.
This is important to track
because of the net pixel impact
for the searcher.
Featured Snippets aren’t going away, they appeared
for 60.5% of queries
Featured Snippet Avg.
Pixel Height
237.75
AIO Avg. Pixel Height
394.44
Combined Pixel Height
632.19
Avg. Screen Resolution
Height (US)
942.29
AIO and FS pixels take up 67% of Avg. Screen Height
394.44
pixels
237.75
pixels
https://gs.statcounter.com/screen-resolution-stats/desktop/north-america
Defining head, mid, and long tail for this study
Head
1-2 words
Mid
3-4 words
Long Tail
5+ words
Head Keywords
8.9%
Mid Keywords
17.6%
Tail Keywords
73.6%
Commercial Informational
AI Overviews are appearing more in tail queries
The fundamentals still matter
Performing well in organic rankings is the strongest
influencing factor for appearance in AI Overview
links
AI Overview links can be thought of as the new
SERP – when they appear
75% of AI Overview
links came from
position 12 or higher
4 Median Organic Rank
12.03 Average Organic
Rank
12 75th Percentile
Generally appear in positions 1-12 in organic
rankings
Presence is currently correlated with medium to
high Cosine Similarity score
All best practices apply with regard to organic
rankings Cosine Similarity allows us to mathematically
compare the similarity between two bodies of text.
How sources are
selected for inclusion
in AI Overviews
Vector Embeddings
0.001 .0044 .012 ….
0.001 .0043 .011 ….
0.001 .0041 .009 ….
Embedding model
“marathon training”
“running shoes”
“route tracker app”
Cluster visualization with projections
Evaluating AI Overview links with Cosine Similarity
0.82
0.78
0.73
Cosine
Similarity
Relationship of Cosine Similarity to top results
On their own, LLMs are not up to date
User asks a question Limited answer due to
lack of recent content
to source it from
LLM use static content
to answer the question
GenAI search relies on LLMs, models that are
pre-trained on “static” content
GenAI search pulls fresh content from traditional
indexes using Retrieval-Augmented Generation (RAG)
User asks a
question
Augmented answer
LLM use trained
model with relevant
fresh content
Fresh content
retrieval (RAG)
Query Relevant
fresh content
How GenAI search engines work today
+ Google scrapping
+ New indexes
Today, Bing is at the center of the non-Google Universe
…Tomorrow, ?
Other Players are Aggressively Crawling Your Site
ChatGPT-User crawl volume over major retailers in the US
Why are they crawling
● LLM training
● Real-time retrieval
● Indexation
Source: Botify
Ensure your pages are indexable
Bring your most strategic pages at the top of your
hierarchy
Use automation and pre-rendering solution to
deliver lightening fast pages to search engine
Timeless Tactics - Crawl
Budget
Keep ‘em Clean
Include all (and only) your strategic pages
Update them regularly, automate
Don’t forget about your organic shopping feed
Timeless Tactics - Sitemaps
IndexNow:
Take control of your SEO
game with real-time
indexing
Don’t wait for crawlers! Elevate your website’s
performance and visibility with immediate content
updates in multiple search engines.
Push To Bing:
Guide search & AI bots to
index your pages
Submit your content directly to Bing’s index
Guarantee visibility across Bing and all AI engines
powered by Bing’s index
Intelligence has a lifecycle that requires action
Review and plan
Allow for some time after the campaign to
ensure that data is vetted. Review successes
and failures, establish regression baselines,
and plan next phase.
Execute campaign
Create new content, optimize existing
content, work on digital PR, etc. This
execution phase should be tied to achieving
strategic and operational goals
Define monitoring
Hone research data set into campaign and
group-focused segments, which can be
prioritized for action
Define strategic goals
Intelligence lifecycles are derived from
strategic vision and initiatives
Research opportunities
Initial SERP and search volume focused
analysis of competitive and market landscape
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AI Overviews Study:
Inside Google's New
Search Reality
Find all the insights and actionable items and
more in our upcoming joined whitepaper.
Coming up next week
Ray Grieselhuber
Founder & CEO
DemandSphere
linkedin.com/in/raygrieselhuber
Thank you
Global VP of Professional Services
Botify
linkedin.com/in/timresnik
Tim Resnik
Book a
demo with
Botify
Book a demo
with
DemandSphere
Mastering AI Overviews For Greater Search Visibility