Tom Winter
CGO & Co-Founder
Tom Winter
CGO & Co-Founder
Stop Analyzing,
Start Asking:
How AI Agents Turn Data into
Conversations
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160+
calls
3
conferences
3
learnings
about SEO data
Real Conversations.
Real Problems.
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#1
The Illusion of Analysis
Most SEO ‘analysis’
watching charts.
=
Almost
things change.
nobody knows why
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#2
Fragmented Data, Fragmented
Insight
GSC is all slices
and snapshots.
Never the full story.
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#3
Dashboards Can’t Save You
When it matters,
it’s still spreadsheets
and guesswork.
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Just the Tip
of the Iceberg
1,000 rows per export
Snapshots, not history
16 months, then it’s gone
Basic filters, no deep segmentation
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How
Around GSC’s
Pros Hack
Limits
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50,000 rows
One dashboard, all
properties
Private by design
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Even With
Apps… You’re
Still in
Snapshot Land
Stuck
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You’re Still
in
Snapshot Land
Stuck
Apps help, but only for
today’s data
Still exporting, slicing, guessing
No true history, still stuck in sheets
Basic filters, no deep segmentation
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BigQuery:
Data Freedom - With a Catch
Break free from GSC’s export
limits
Possibility to join Analytics
with GSC data and more
Unlimited storage, no more 16-
month cutoff
Own your SEO data
- on your terms
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BigQuery:
Data Freedom - With a Catch
But:
Data starts from today
No backfill.
If you don’t speak SQL,
you’re locked out
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Why This Still Sucks
for Most SEOs
Hours lost digging, exporting, merging
Still no clear answers
guessing,
Data scientists get insights.
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The Dashboard
Delusion
Data Studio, Looker, Tableau: More graphs, same old pain
LLMs as search bars: “Summarize my data” - but disconnected
You still need to do the hard part yourself
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The SEO Data
Workflow Hell
GSC export BigQuery Write SQL Export
Visualize Interpret Maybe an answer
Every step = another chance for confusion, error, wasted time
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What If
You Could Just Ask?
“Show me all pages that lost clicks after the May update”
“Find keyword clusters with growing impressions”
“Which landing pages lost the most visibility”
The system fetches, clusters, and explains. No code, no pain.
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The Agent Revolution
How It Works
Not a chatbot.
Not a static workflow.
An agent is an orchestrator. Thinks, plans, adapts.
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How
Real AI Agents Work
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Why
Simple Workflows or SQL Aren’t
Enough
AI workflows = one
path, no thinking
SQL queries = fixed
instructions, no
adaptation
Agents
, adapt on
the fly, and choose
the best tools
make real
decisions
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Agents
Agents Make the Decisions
' Every question$
' Different tools$
' Different order$
' The agent decides, not the user.
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Real-World Questions
Only Agents Can Handle
“What products are seasonal based on searches?”
“Which keyword clusters lost visibility across my domain in Q1
this 2025?”
“What content is trending up that I might be missing?”
“What is my best performing topic cluster that shows my
topical authority?”
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GSC + BigQuery + Agent
Game Changer
GSC data in BigQuery, agent orchestrates the flowR
Natural Language to SQL to DataFramE
: Transform, filter, aggregatE
Human-readable summary
No more snapshot syndrome. See the entire story.
g sql-agent:
g manipulation-agent
g explain-agent:
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Example
How the Agent Gets You Answers
Query:
Agent’s steps&
Find keywords semantically similar to 'seo' and their total clicks in the last 30
days
g` Converts question to SQR
W` Uses BigQuery VECTOR SEARCH for semantic similaritw
h` Pulls all matching data - no 1,000-row ceilinI
c` Returns DataFramD
X` Summarizes results in plain English
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Vector Search
Semantic Clustering, Not Keyword
Matching
Embeddings turn keywords, pages, clusters into vectors
BigQuery VECTOR SEARCH groups by meaning, not just strings
Surface new topics, intent, and real trends
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Live Agent Path
From Messy Question to Clear Answer
Example:
Agent Path6
Show me pages that lost traffic after the May update
XW Identifies the May update windos
SW Compares clicks before and aftef
IW Filters for the biggest drop
HW Aggregates, loops, refetches if needed
Explains what happened and what to do next
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Use Cases
That Actually Matter
Diagnose
Find declining keyword themes,
Uncover hidden clusters
Predict
Save time,
algorithm hitU
not just single keywordU
with vector searcV
trendU
get answers
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Why Agents
Beat Every Dashboard
No more export and pray No SQL, no Python, no
guesswork
Fast, flexible, asks follow-up
questions
You get answers, not just more
data
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The Big Shift:
From Analyst to Explorer
Old way:
Export, crunch, curse, repeat
New way:
Ask, explore, iterate,
understand
Every SEO becomes a data scientist.
Without the pain
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Roadmap
Where This Is Going
More tools: automatic charts, forecasting, ML models
Integrate Analytics, CRM, and more
Ask, “What will my traffic look like next quarter?” and get a real
answer
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Key
Takeaways
#1 Stop analyzing, start asking: AI agents let you query your data, not just
export it.
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Key
Takeaways
#1 Stop analyzing, start asking:
#2 Agents don’t replace experts
AI agents let you query your data, not just
export it.
- they supercharge them: Your know-how still
matters.
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Key
Takeaways
#1 Stop analyzing, start asking:
#2 Agents don’t replace experts
#3 Forget manual hell:
AI agents let you query your data, not just
export it.
- they supercharge them: Your know-how still
matters.
Agents handle the heavy lifting, 10x faster than
spreadsheets or SQL
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Key
Takeaways
#1 Stop analyzing, start asking:
#2 Agents don’t replace experts
#3 Forget manual hell:
#4 Great setup = great results:
AI agents let you query your data, not just
export it.
- they supercharge them: Your know-how still
matters.
Agents handle the heavy lifting, 10x faster than
spreadsheets or SQL
Good data, good questions, smart configuration.
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Key
Takeaways
#1 Stop analyzing, start asking:
#2 Agents don’t replace experts
#3 Forget manual hell:
#4 Great setup = great results:
#5 This is the next era for SEO:
AI agents let you query your data, not just
export it.
- they supercharge them: Your know-how still
matters.
Agents handle the heavy lifting, 10x faster than
spreadsheets or SQL
Good data, good questions, smart configuration.
Better questions lead to better answers and real
impact.
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Thanks
& Let’s Connect
Stay in touch:
[email protected]
Let’s connect on LinkedIn:
Tom Winter
Stop analyzing,
start asking