Answer Engine Optimization, explained and applied. How AI engines decide what to cite, how AEO differs from SEO, and how B2B companies get recommended. This is the JYNLAB AEO library, the same method we run for clients, applied to ourselves.
The fundamentals: what AEO is, how it differs from SEO, and how AI engines decide what to cite.
Answer Engine Optimization (AEO) is how you get cited by ChatGPT, Perplexity, Gemini, and Claude when buyers ask for recommendations. What AEO is, how it differs from SEO and GEO, how engines decide what to cite, and how to get cited.
SEO ranks a link on Google. AEO gets you cited inside an AI answer from ChatGPT, Perplexity, and Gemini. Where they overlap, where they split, and how to decide where to put your effort.
AI engines do not cite at random. They retrieve candidates, weight them by authority and third-party consensus, then quote the clearest source. The selection mechanism, signal by signal, and how to win it.
Tactical guides: how to structure content, schema, and signals so AI engines cite you.
You cannot pay ChatGPT to recommend you. You earn it. The practical, in-order playbook to get cited in ChatGPT, Perplexity, and Gemini: be retrievable, fix your entity, publish the direct answer, add schema, earn third-party mentions, measure.
A field-by-field teardown of how I rebuilt JYNLAB's LinkedIn so AI answer engines read it as one citable entity. Plus the live test: I asked four AI engines what JYNLAB does and got four different wrong answers.
How AEO applies to specific verticals: B2B SaaS, agencies, professional services, and more.
There is no single best AEO agency. The right one measures your citation share across AI engines, builds third-party consensus, knows your vertical, and promises improvement, not guaranteed placement. The criteria, questions, and red flags.
Buyers ask AI for the best field service software for their trade. If your vertical SaaS is not named, you lose the deal before the demo. Why vertical SaaS is invisible in AI answers, and the narrow-context play to become the cited source.
Real audits, build logs, and documented results from our own AEO work.
First-party audit: we ran 8 buyer prompts through ChatGPT, Perplexity, and Gemini. Two companies owned the category. The rest were invisible where it counts. The mid slots changed on every engine.
We use JYNLAB as the test case for our own AEO method, in public. Baseline: 0 of 4 AI engines cited us, and all four had a different wrong identity. The documented, step-by-step log of what we did, and the checklist you can steal.
AEO (Answer Engine Optimization) is the practice of structuring your brand, content, and third-party presence so AI answer engines like ChatGPT, Perplexity, Gemini, and Claude cite and recommend you when buyers ask questions. Unlike SEO, which ranks a link, AEO competes to be cited inside a single synthesized answer.
For practical purposes, yes. GEO (Generative Engine Optimization) and AEO describe the same work: getting cited and recommended by AI answer engines. The terms are used interchangeably.
No. AEO is a new acquisition channel that sits beside SEO. Buyers still use Google, but a growing share ask AI engines first. Most companies run both.
Ask ChatGPT, Perplexity, and Gemini the questions your buyers would ask, such as 'best [your category] for [use case]', and see whether you are named. If competitors appear and you do not, you have an AEO gap.
We run your business through ChatGPT, Perplexity, Gemini, and Claude and show you exactly what comes back, and where competitors are cited instead.