Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
From Rankings to Recommendations: Closing the M...
Search
Athens SEO
May 27, 2026
Marketing & SEO
75
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
From Rankings to Recommendations: Closing the Measurement Chasm
Athens SEO
May 27, 2026
More Decks by Athens SEO
See All by Athens SEO
Content Maturity in the Age of AI: A Framework for Pages That Actually Convert
athenseo
0
110
Ecommerce AI Search Trends & Wins
athenseo
0
94
How AI Can Automate Your SEO Day2Day
athenseo
0
77
Taming the Bots: AI Crawler Management for the Modern SEO
athenseo
0
95
Automating Technical SEO with Screaming Frog CLI and n8n
athenseo
0
87
The Power of Consulting: What AI in Search has really taught us about SEO
athenseo
0
69
E-Commerce Fan-Out at Scale
athenseo
0
69
Unlocking the Potential of Vector Embeddings
athenseo
0
190
A Semantic Framework for Optimization in LLMs
athenseo
0
87
Other Decks in Marketing & SEO
See All in Marketing & SEO
AI Search KPI’s: Measuring Success in the New SEO Era - Eduard Blacquière
edwords
0
2.2k
The Death Of Traffic: Building Revenue-Focused SEO In A Zero-Click World
alexgalinos
0
260
Built for browsers, invisible to agents: Bridging the rendering gap for AI and search
samtorres
1
320
The Hidden Psychology of Marketing: Strange Phenomenons That Secretly Influence Consumer Buying Decisions
gurzu
0
120
When MCP Servers are (and aren’t) the Right Choice
pelogia
1
110
Winning organic in 2026_ A framework for surviving Google’s AI era
aleyda
0
660
Retrievable Beats Rankable: Build for Retrieval-Based AI
decabbit
0
150
AI Search: Are We Building Strategy on the Right Foundations?
vdol
0
270
SEO Techniques That Are Still Alive in 2026
whitworthseo
0
170
国境を越えて大ウケ!「会議脱出ボタン」LTの裏側とスライドの哲学
kizawa2020
1
130
Backlink Indexation Audit: A Technical FAQ on Ghost Links
speedyindexteam
PRO
0
170
La optimización de búsqueda para IA
aleyda
0
250
Featured
See All Featured
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
baasie
1
570
16th Malabo Montpellier Forum Presentation
akademiya2063
PRO
0
410
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Building the Perfect Custom Keyboard
takai
2
910
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
590
Accessibility Awareness
sabderemane
1
250
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
580
Prompt Engineering for Job Search
mfonobong
0
520
The agentic SEO stack - context over prompts
schlessera
0
970
4 Signs Your Business is Dying
shpigford
187
23k
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.5k
Transcript
Athens SEO 2026 Welcomes On Stage Technical SEO and Analytics
Consultant Jonathan Moore
We’ve been weighing pigs for years
Numbers don’t explain what’s wrong
The signal comes after the damage
We know there’s an AI measurement chasm
No first party data from LLMs
Clicks have collapsed
The messy middle is messier
@SearchLDN We know there are flaws with prompt tracking
@SearchLDN AI responses are highly inconsistent https://sparktoro.com/blog/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility/
We keep getting distracted by the latest thing
We can’t wait for perfect
We have to use workarounds
It’s not a data problem
It’s a question problem
The 3 R’s: Revenue, Recognition, Recommendations
Essentials
Fix your campaign tracking
Compare LLM sessions to organic and total sessions https://krmdigital.uk/blog/ai-in-ga4/
Next segment by page template https://support.google.com/analytics/answer/11523339?hl=en
Set up Search Console bulk data export https://cloud.google.com/blog/products/data-analytics/analyze-google-search-data-with-bigquery
None
Check out ML for SEO on how to interrogate this
data https://academy.mlforseo.com/product-category/courses/
Or sign up to SEO Gets https://seogets.com/
Check your queries for SERP features https://dataforseo.com/apis/serp-api/google-serp-api
Set up Bing Webmaster Tools https://www.bing.com/webmasters/help/ai-performance-9f8e7d6c
Revenue Are we attracting, converting, and profiting from the right
customers?
Are we making money?
Check if revenue per session has dropped https://www.searchenginejournal.com/why-your-seo-kpis-are-failing-your-business-and-how-to-fix-them/564769/
Who are our most profitable customer segments?
Survey them
Recognition: Are we known, understood, and associated with the right
things?
Start with positioning https://www.aprildunford.com/post/a-product-positioning-exercise
Be honest
Now create a basic prompt tracking library
Q1) Are we recognised as a brand? Q2) What are
we known for? Q3) Do we show for our key attributes? Prompts need to answer these questions:
None
Q1) Are we recognised as a brand? Q2) What are
we known for? Q3) Do we show for our key attributes? Prompts need to answer these questions:
Question: Are we recognised as a brand? Prompts: “What do
you know about [brand]?” “Who are [brand]s competitors?” Tip: Try this with web search turned on and off
Question: What are we known for? Prompts: “What is [brand]
known for?” “What do [brand] sell?”
Question: Do we show for our key attributes? Prompts: What
is [brand]s unique selling points? I am [person Y], looking for [service], is [brand] a good choice?
Pick a model and run prompts
Check the answers for accuracy
Recommendations: Are we chosen, endorsed, and shown alongside the right
competitors
Question: Are we recommended? Prompts: What is the best brand
for [service]? I am [person Y], looking for [service], what are some brands I should consider?
Question: How often do we show up? Check if you
are: • Actively recommended • Included as an option • Only mentioned in passing • Missing
Question: How do we show up? Check the sentiment and
context: • Leading recommendation • Neutral mention • Wrong or misleading
Question: How do we show up? Check where and how
you appear • Opening paragraph • Bullet point • Caveat • Source citations
Question: Who else shows up? Extract: • Mentions of other
brands • Links to sources
Question: Where do we need to be mentioned? Extract: •
Extract source domains • Find gaps where you aren’t mentioned
Turn this information into a grid per model
We can now diagnose problems
And assign metrics
Closing the Chasm
We can now think about scaling the process
USE NEW METRICS WITH CAUTION
BEWARE OF SHINY OBJECTS
Be a cynical optimist
Waikay is a solid, affordable start https://waikay.io/
As is Advanced Web Ranking https://www.advancedwebranking.com/
I also like Similarweb https://www.similarweb.com/
Monday morning.
Stop weighing the pig. Build the grids. Don’t wait for
perfect.
Thank You! Jonathan Moore Technical SEO and Analytics Consultant Hire
me! https://www.linkedin.com/in/moorejonathan/