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It's ALL AI Search: building a unified view for...

Avatar for Ray Grieselhuber Ray Grieselhuber PRO
November 01, 2025
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It's ALL AI Search: building a unified view for growth

Avatar for Ray Grieselhuber

Ray Grieselhuber PRO

November 01, 2025
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  1. LLM traffic still less than .1% but it is growing

    Speakerdeck.com/raygrieselhuber @raygrieselhuber
  2. Different incentives create different narratives Speakerdeck.com/raygrieselhuber @raygrieselhuber “SEO is dead!”

    LLM tool providers & AEO consultants “It’s all SEO!” Rank tracking tool providers & SEO consultants
  3. It’s all AI search - the question is the user

    experience Speakerdeck.com/raygrieselhuber @raygrieselhuber
  4. “Infinite” meaning complete internet up to date in real time

    Speakerdeck.com/raygrieselhuber @raygrieselhuber
  5. The app wraps the LLM to determine tools Speakerdeck.com/raygrieselhuber @raygrieselhuber

    App (ChatGPT, etc) LLM (GPT-5, etc) USER INPUT MODEL QUERY LIVE RETRIEVAL
  6. Live Retrieval “solves” the finite context window problem Speakerdeck.com/raygrieselhuber @raygrieselhuber

    LLMs Search Engines Retrieval Layer High quality & more relevant answers
  7. The Retrieval Layer abstracts search engine queries Speakerdeck.com/raygrieselhuber @raygrieselhuber APP

    LLM QUERY RETRIEVAL LAYER External channels - web tool: - search(query) - open(url) - file connectors: - file_search etc - recording connectors Workspace channels Visuals & Files Policy & Guardrails Search operators
  8. The search tool queries one or more search engines Speakerdeck.com/raygrieselhuber

    @raygrieselhuber External channels - web tool: - search(query) - open(url) - file connectors: - file_search etc - recording connectors Workspace channels Visuals & Files Policy & Guardrails Search operators
  9. Google & Bing form the backbone of AI search Google

    AI Overviews Speakerdeck.com/raygrieselhuber @raygrieselhuber
  10. We were seeing it in April 2025 (at BrightonSEO) •

    10,000 prompts • 17 industries • Google • Bing • ChatGPT • Perplexity
  11. Measure index overlap in citations Speakerdeck.com/raygrieselhuber @raygrieselhuber Measure: • number

    of citations • citation overlap with SERP results • overlap percentage
  12. Data in April 2025 was showing heavy Google usage Speakerdeck.com/raygrieselhuber

    @raygrieselhuber 51.72% Google Index ChatGPT 4o 14.26% Bing Index ChatGPT 4o 34.02% Custom / Remix ChatGPT 4o 37.12% Google Index Perplexity 45.63% Custom / Remix Perplexity 17.25% Bing Index Perplexity
  13. Explosion in query fan-outs Speakerdeck.com/raygrieselhuber @raygrieselhuber Commercial best winter tires

    Query fan-out Query fan-out Query fan-out Query fan-out Which brand is the best for winter? Why are Blizzak tires so good? Which is better for snow awd or snow tires? Do snow tires really make a difference?
  14. Before: source query = retrieval layer query Speakerdeck.com/raygrieselhuber @raygrieselhuber Commercial

    best winter tires Query for live retrieval “best winter tires” RETRIEVAL LAYER
  15. Now: source query = ~10-12 retrieval layer queries Speakerdeck.com/raygrieselhuber @raygrieselhuber

    Commercial best winter tires Queries for live retrieval “best winter tires” “which tire brand is best for winter” “why are blizzak tires so good” “which is better for snow awd or snow tires” “do snow tires really make a difference” etc. RETRIEVAL LAYER x 10
  16. ChatGPT (and others) are building their citations based on SERP

    data Speakerdeck.com/raygrieselhuber @raygrieselhuber
  17. It’s ALL AI search Speakerdeck.com/raygrieselhuber @raygrieselhuber AI Mode 2025 https://ai.google/our-ai-journey/

    AI Overviews 2024 Gemini 1.0 2023 PaLM 2022 MUM 2021 Passage Ranking 2020 T5 2019 BERT 2018 Transformer Architecture 2017 TensorFlow 2015 Google Assistant 2016
  18. The existence of Zero Click SERP Features does not mean

    that there are zero clicks 2024 Zero-Click Search Study Speakerdeck.com/raygrieselhuber @raygrieselhuber
  19. Metric tree analysis Speakerdeck.com/raygrieselhuber @raygrieselhuber 70.5% Organic results 41.5% -

    Click 1,000,000 Searches 21.4% - New search 28.5% Google property 41.5% Click 58.5% “Zero Click” 37.1% Session ends
  20. Metric tree analysis Speakerdeck.com/raygrieselhuber @raygrieselhuber 70.5% Organic results - Net

    CTR of 29% 41.5% - Click 1,000,000 Searches 21.4% - New search 28.5% Google property 41.5% Click 58.5% “Zero Click” 37.1% Session ends
  21. This is why Google removed num=100 Speakerdeck.com/raygrieselhuber @raygrieselhuber Commercial best

    winter tires Queries for live retrieval “best winter tires” “which tire brand is best for winter” “why are blizzak tires so good” “which is better for snow awd or snow tires” “do snow tires really make a difference” etc. RETRIEVAL LAYER x 10
  22. The mindset Speakerdeck.com/raygrieselhuber @raygrieselhuber Understand model responses vs. live retrieval

    Connect relationships between available data Focus on human attention
  23. Visibility monitoring Speakerdeck.com/raygrieselhuber @raygrieselhuber Data points: • Mentions • Citations

    • Share of Voice • Index Overlap Combine with: • SERP data • Log data • GA4 data
  24. Referral data from GA4 Speakerdeck.com/raygrieselhuber @raygrieselhuber Analyze: • Sessions •

    Pages • Conversions • Revenue Use URL-level data to deliver additional insights
  25. Log data is crucial Speakerdeck.com/raygrieselhuber @raygrieselhuber Analyze: • Bot behavior

    • Crawl issues • Content opportunities Combine with: • Visibility monitoring • Prompt research
  26. Prompt research is a process, not a tool Speakerdeck.com/raygrieselhuber @raygrieselhuber

    Valuable data sources: - People Also Ask (PAAs) - Reddit - Keyword Planner - Synthetic query generation - Query fan-outs - Topic & intent mapping (content-focused)
  27. Prompt volume challenge #1: there is no “Search Console for

    ChatGPT” Speakerdeck.com/raygrieselhuber @raygrieselhuber
  28. Takeaway #1: The lines are blurry between AI search experiences

    Speakerdeck.com/raygrieselhuber @raygrieselhuber