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From Search Rankings to Answer Synthesis - How ...

From Search Rankings to Answer Synthesis - How to Weather The AI Storm

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Dawn Anderson

June 13, 2025
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  1. The Dawn of Generative Information Retrieval • Represents the biggest

    change in information retrieval in 70 years • Yes, since before the web and as far back as post Second World War days
  2. SIGIR Generative IR Workshop 2023 v Google Search Central NYC

    2025 – Both Show Generative IR Becomes The Core of Search
  3. Generative Information Retrieval is Google's 'Rush Job' • In response

    to Open AI / ChatGPT • To align with Broder's 'Delphic Costs' 'effortless search' concept • 'Minimum Viable Product' with Reinforcement Learning From Human Feedback (RLHF) • Hallucinations galore
  4. Bender & Shah (2024) refer to the web as a

    "potential endangered information ecosystem" • Source: Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web? Bender & Shah, 2024
  5. Generative IR Does Not Meet The Various Types of Belkin

    Information Seeking Strategies (ISS) (Bender & Shah, 2024)
  6. So...What Should SEOs Be Doing Right Now About All of

    This? Be realistic 01 Be forward- thinking 02 Be more consistent than ever before 03 Be technically sound 04 Know thy audience & personas 05 Begin measurement, monitoring and tracking plans 06
  7. Studies by Salt Agency finds LLM traffic converts at a

    similar rate to organic traffic Source: https://salt.agency/blog/do-users-really- show-higher-intent-when-they-click-through-from- an-llm-to-a-website/
  8. Two Types of Generative IR Closed book Information comes only

    from within the model Open book Information comes from within the model and also can come from external sources to provide grouding
  9. We are dealing with 'Open Book' Generative IR The gaps

    get filled with grounding via Retrieval Augmented Generation (RAG)
  10. Disambiguating Equiprobability... But this time it's for LLMs / Generative

    IR / AI Overviews MAXIMUM LIKELIHOOD ESTIMATION
  11. Add That Context SEOs Relatedness Schema Semantic headings Remove ambiguity

    Consistency in clustering Clear topic chunking in long form content
  12. Although... • Both Googlebot and Google- Extended (Gemini) use WRS

    (Web Rendering Service) • Google AI bot renders javascript Source: https://www.seroundtable.com/googles-ai-crawler-renders-javascript-39353.html
  13. Are LLMS.txt Akin to the Meta Keywords Tag for Google?

    https://www.reddit.com/r/TechSEO/comments/1k0kcx9/llmtxt_where_are_we_at/
  14. Claim that AI Search referral traffic as SEO There will

    100% need to be bridges crossed by SEO professionals to maximise LLM and AI Search traffic
  15. It's An Exciting Time for Information Retrieval & SEO •

    "Generative question answering is not the end of classical information retrieval, but rather opens up a new frontier of exciting and important research problems." (Najork - SIGIR 2023)
  16. Takeaways Be • Be realistic - Don't jump the gun

    Be • Be forward thinking. Prepare the ground. Increase • Increase consistency assurance across content, entities, schema, data imputation Know • Know thy audience and personas Begin • Begin measurement in traffic (GA) and visibility in AI search (including Google AI Overviews) Be • Be technically sound