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Steve Toth
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OK this is MASSIVELY useful for anyone optimizing for AI search. Notebook Agency Head of R&D Massimiliano Geraci shared 12 practical insights for getting cited by LLMs:
I recently hosted an AEO Masterclass in Chiang Mai with Max and Michał Suski from Surfer. Max's talk was jam-packed with findings from his countless hours researching how ChatGPT and Google AI Mode actually retrieve content.
Here are the highest-leverage insights:
1. Put your most important answers in the first 30% of the page. LLMs often build their entire response from your title, meta, and first few paragraphs.
2. Structure content in listicles, tables, and comparisons. LLMs prefer pre-synthesized formats because they're easier to comprehend.
3. Avoid answering the same question twice in different wording. Redundancy creates competing chunks and lowers semantic confidence.
4. Do a "20 question fan-out" for each target page. Generate 20-30 subquestions someone could ask, then answer all of them clearly in one place.
5. Keep ONE idea per paragraph. If your paragraph switches topics or contains multiple ideas, the LLM cannot use it as a stable citation.
6. Ensure your page loads instantly. If Time to First Byte is above 1 second, agents time out and citations never happen.
7. Add unique insights, not generic fluff. LLMs downweight generic SEO text and look for specifics, numbers, tradeoffs, and real steps.
8. Verify your indexing in Bing Webmaster Tools. ChatGPT and Perplexity rely heavily on Bing's index.
If you only implement three things: Create a top section answering all fan-out questions in 150-300 words, convert the rest into clean chunks with lists and tables, and add schema with fast server-side rendering.
Max says these three moves alone put you ahead of 99% of websites in LLM visibility. Time will tell how this evolves, but the directional thinking here is solid.
To get tips like this straight to your inbox, check out ainotebook.com (Comments > Sort By Most Recent)
#ainotebook
I recently hosted an AEO Masterclass in Chiang Mai with Max and Michał Suski from Surfer. Max's talk was jam-packed with findings from his countless hours researching how ChatGPT and Google AI Mode actually retrieve content.
Here are the highest-leverage insights:
1. Put your most important answers in the first 30% of the page. LLMs often build their entire response from your title, meta, and first few paragraphs.
2. Structure content in listicles, tables, and comparisons. LLMs prefer pre-synthesized formats because they're easier to comprehend.
3. Avoid answering the same question twice in different wording. Redundancy creates competing chunks and lowers semantic confidence.
4. Do a "20 question fan-out" for each target page. Generate 20-30 subquestions someone could ask, then answer all of them clearly in one place.
5. Keep ONE idea per paragraph. If your paragraph switches topics or contains multiple ideas, the LLM cannot use it as a stable citation.
6. Ensure your page loads instantly. If Time to First Byte is above 1 second, agents time out and citations never happen.
7. Add unique insights, not generic fluff. LLMs downweight generic SEO text and look for specifics, numbers, tradeoffs, and real steps.
8. Verify your indexing in Bing Webmaster Tools. ChatGPT and Perplexity rely heavily on Bing's index.
If you only implement three things: Create a top section answering all fan-out questions in 150-300 words, convert the rest into clean chunks with lists and tables, and add schema with fast server-side rendering.
Max says these three moves alone put you ahead of 99% of websites in LLM visibility. Time will tell how this evolves, but the directional thinking here is solid.
To get tips like this straight to your inbox, check out ainotebook.com (Comments > Sort By Most Recent)
#ainotebook