A: Hi,

Thanks for your question. We’ve done analysis on thousands of searches across ChatGPT, Google Overviews, etc. The fundamentals of SEO and AEO are similar, but there are a few tweaks that help your articles show up in AI answers. As of now, most on page tactics look similar across ChatGPT, Perplexity, and Gemini. Things are changing fast, so this may evolve and we’re keeping a close eye.

Where they differ a lot is off-page. Some engines seem to lean more on sources like Reddit, LinkedIn Articles, Quora, and other community posts. That mix isn’t identical.

Some on-page optimizations that tend to work across LLMs. We internally consider a total 25 factors

1. Fan-out queries: For many commercial terms, we often see engines add the current year when they search. Having the year in the title (when it makes sense) can help freshness.
2. Lead with the answer: For info queries, a clear 40–60 word direct answer in the intro helps.
3. Facts & citations: Add short, citable facts with independent sources.
4. Pronoun ambiguity: Name entities instead of “it/they” so models don’t get confused.
5. Linkable tables: Small, labeled tables (features, pricing, specs) are easy for engines to quote.
6. Tone & language: Keep it simple, conversational, and skimmable.

For off page, we are launching AI monitor soon, It will show you where your topic is surfacing. It will help optimize the off page as well. Please check out out roadmap. http://humanizeai.com/roadmap