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Generative Engine Optimization: How to Get Cited by ChatGPT and Perplexity
By Yair E, Co-Founder of Conversee · Published 15 June 2026
Most teams judge a go-to-market tool by a single question: did it help me close someone this week? That is a fair question, but it is no longer the only one that matters. When a buyer wants to know the best tool in your category, they increasingly ask ChatGPT, Perplexity, or Gemini before they ever reach your website. What those systems say about you is decided long before any sales conversation, and it is shaped by the public conversations you choose to show up in.
That is generative engine optimization, and it is why Conversee is about more than the deal in front of you. The same activity that wins a buyer today is what makes you the brand an AI names when the next buyer asks tomorrow.
What is generative engine optimization (GEO)?
Generative engine optimization is the practice of getting your brand surfaced and cited inside the answers that AI systems like ChatGPT, Perplexity, and Gemini generate. Where traditional SEO earns a ranked link that a person clicks, GEO earns a mention inside a synthesized answer, often before the person ever sees a list of links at all.
You will also see the term AEO, or answer engine optimization. The two overlap heavily, and people use them interchangeably, but AEO usually refers to the narrower job of winning direct answer snippets and AI Overviews, while GEO is the broader discipline that covers the full conversational layer. The important point is that GEO does not replace SEO. It sits on top of it. And one honest caveat up front: no one can guarantee placement in an AI answer. AI visibility shifts week to week, and anyone promising guaranteed citations is overselling. What you can do is raise your odds by being genuinely useful where both buyers and models look.
Why does GEO matter for B2B go-to-market now?
GEO matters because buyers now start with AI, and AI hands them a shortlist before they ever compare vendors themselves. A large and growing share of searches end without a click, answered on the page or inside a chat window, and tools like ChatGPT now serve hundreds of millions of people every week. For a B2B buyer scoping a category, the handful of brands an AI names quietly becomes the consideration set.
The consequence is simple and a little uncomfortable. If your product is not in the answer, it is not in the deal. You can have the better tool and still lose, because the buyer never learned you existed at the moment they were forming their list.
How does a public comment end up in an AI answer?
A helpful public comment reaches an AI answer through a short chain. It lands in a community where people ask real questions, that thread ranks on Google for the query buyers type, and AI systems pull from those ranking pages when they build an answer, both through training and through live retrieval.
Reddit sits at the center of this for three reasons. It is structured exactly like the questions people ask AI, where someone asks for the best option and strangers with no stake answer in detail. Its threads rank well on Google, helped by a licensing deal in 2024 in which Google agreed to pay Reddit a reported 60 million dollars a year to train on Reddit content and surface it in Search. And models tend to treat an upvoted answer from a peer as more trustworthy than anything a brand says about itself.
Two caveats keep this honest. Citation shares move around a lot between studies and over time, and Reddit's share dropped sharply in late 2025 before settling. And for B2B specifically, LinkedIn is often cited as heavily as Reddit, since professional queries pull from professional sources. The takeaway is not "post on Reddit." It is that public, peer-to-peer conversations are the raw material of AI answers, and you can either be in them or absent from them.
Why immediate sales and GEO are the same motion
The contribution that wins a buyer today is the exact format an AI prefers to cite tomorrow, so you are not choosing between selling now and building visibility later. A specific, balanced, disclosed comment that compares real options and answers the actual question is what earns trust inside a thread. It is also what reads like data rather than advertising to a model, which is precisely what gets cited.
This is the part most teams miss. They treat AI visibility as a separate content project, something to bolt on later. In practice the discipline is the same one that makes you welcome in a community in the first place: lead with genuine value, mention yourself in context rather than alone, disclose what is yours, and match the depth of the conversation. The restraint that keeps your comment from being removed is the same restraint that keeps it in AI answers, because automated, low-effort promotion gets purged retroactively, and the citations attached to it vanish with it.
In other words, the honest motion and the effective motion are the same motion. That is convenient, because it means you do not need a second playbook.
How Conversee fits into a GEO strategy
Conversee finds the few public conversations actually worth joining, decides whether each one is worth acting on, and points you to the minimum effective contribution, so your limited human time lands where it both moves a deal now and compounds into AI answers later. It is a decision layer, not a volume machine.
That distinction is the whole point. Conversee returns an Act, Observe, or Skip call on each signal, with the reasoning behind it, because most conversations are not worth your reply, and saying nothing is a valid output. The threads it does surface are the ones where a buyer is genuinely evaluating, which are also the threads most likely to rank and feed AI. You still write the comment yourself, because the writing is the part that earns trust and the part that must never be automated. Conversee handles the noticing and the judgment. You handle the contribution. GEO is the compounding payoff of doing that consistently in the right places.
Measured immediately, this looks like weekly activated responders and real conversations with buyers. Measured over a longer horizon, it looks like your brand showing up in answers you did not have to pay for, in front of buyers you have not met yet.
Is GEO just gaming the AI?
No, because it only works when the contribution is genuinely useful and written by a human. Every comment in this model answers a question someone actually asked, nobody is interrupted or cold messaged, and communities remove low-effort promotion quickly, so a contribution only survives if real people found it worth reading.
Where it does cross into manipulation is automation at scale, which is exactly what platforms are purging and what models are tuning to resist. The durable strategy is the unglamorous one: show up, be specific, disclose, and help. It compounds slowly and it does not collapse the moment a filter updates.
The shift worth internalizing
Go-to-market used to be measured only by the pipeline you could see. The new question sitting underneath it is quieter: what will the AI say about your category when the next buyer asks? You earn that answer the same way you earn a reply, one honest, specific contribution at a time.
Conversee helps you find those moments and decide which ones are worth your time, so the work you do to win this week is the same work that puts you in the answer next quarter.
FAQ
What is generative engine optimization (GEO)?
GEO is the practice of getting your brand cited inside AI-generated answers from systems like ChatGPT, Perplexity, and Gemini, rather than only ranking links in traditional search. It focuses on being part of the synthesized response a buyer reads.
What is the difference between GEO, AEO, and SEO?
SEO earns a ranked link a person clicks, AEO earns the direct answer snippet or AI Overview, and GEO earns a citation inside a synthesized AI response. GEO and AEO layer on top of SEO rather than replacing it, and strong SEO still helps a page get cited.
How do I get my brand mentioned by ChatGPT?
Show up helpfully in the public conversations that already rank on Google for your buyers' questions, since AI systems pull from those ranking pages. Specific, balanced, disclosed contributions are the ones that get cited, while bare promotion gets ignored.
Why do AI tools cite Reddit so much?
Reddit is structured like the questions people ask AI, its threads rank well on Google partly because of a 2024 licensing deal with Google, and models treat upvoted peer answers as more trustworthy than brand claims. It is consistently among the most cited domains, though exact shares vary by study and by quarter.
Can you guarantee my brand will appear in AI answers?
No. AI visibility is volatile and no one can guarantee placement, so treat any promise of guaranteed AI citations with suspicion. You raise your odds by being genuinely useful in the conversations buyers and models both rely on.
Is Conversee a GEO tool?
Conversee is a go-to-market decision layer that points you to the public conversations worth joining and justifies whether to act. The GEO benefit is the compounding payoff of engaging in those conversations helpfully, with a human writing the contribution — not a separate automated feature.