When Someone Searches for Your Product in ChatGPT, Is Your Content Ready?

I recently changed a habit.

I stopped opening Google to look things up. Instead, I just ask ChatGPT. A paragraph comes back — conclusions, data, sources, all neatly laid out. I don't even bother clicking the second search result.

I don't think I'm alone. ChatGPT now has over 800 million people using it every week, and Perplexity and Claude are growing too. Apple has wedged both of them into Safari. Google's seemingly unshakable grip on the front door of the internet has, for the first time, been pried open a crack.

SEO — the $80 billion business — is being rewritten from the ground up.

But what I want to talk about today isn't panic. It's this: what should you actually do?

A New Term: GEO

Search engines no longer hand you a string of blue links. They just tell you the answer. Engines that lean on large language models to mash multiple sources into a single passage are called generative engines.

So should you keep doing SEO? Yes. But it's no longer enough.

There's one more thing you need: getting your content cited, synthesized, and recommended by generative engines. It has a name — GEO, Generative Engine Optimization.

In plain terms: you used to fight for ranking positions. Now you fight for the chance to be mentioned by AI.

It's Kin to SEO, Not Its Enemy

A lot of people hear "GEO" and their first reaction is: great, all my SEO work was for nothing.

The opposite is true.

Researchers have found that brands that rank near the top of Google tend to also be the first choices recommended inside ChatGPT. For example, HubSpot's CRM ranks third on Google for "CRM" — and it also ranks first inside ChatGPT. E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — these signals travel across platforms.

None of the effort you spent on content quality was wasted.

What about keywords? Still here. Chris Long at Go Fish Digital ran a set of tests and found that generative engines especially like structured content: bulleted lists, clear subheadings, list-style articles. The easier it is for AI to "read" your page and slice out clean snippets, the more likely it is to fold those snippets into its answer.

Keywords still provide context. They're just used differently now.

Technical optimization too — fast load times, mobile-friendly, crawlable — these fundamentals matter just as much to AI engines as they do to Google.

But Four Things Have Changed

First, the way people ask questions has changed.

On Google, you search "CRM." Four characters. On ChatGPT, you ask: "We're a fifty-person company, mostly doing B2B SaaS, with a budget of about twenty thousand dollars a year — any good CRM recommendations?" Twenty-three words on average.

That's nearly six times longer. Which means the content you produce has to answer not isolated keywords, but full questions, loaded with context.

Second, the output format has changed.

Google gives you ten links and lets you pick. A generative engine hands you a single passage, synthesizing information from multiple sources, with citations appended at the end. Users no longer "click and browse." Users "read the answer."

Third, the success metrics have changed.

SEO tracks rankings, click-through rate, traffic. GEO tracks — how many times were you cited? How does the AI describe you? Once users come over from the AI, how good is the conversion quality?

Fourth, and most counterintuitive: volume drops, but quality rises.

Nate Tower, president of Perrill, shared a set of data: traffic from AI platforms is smaller in volume than from traditional search. But the conversion rate is noticeably higher. The reason isn't complicated — anyone willing to sit in ChatGPT and chat with it for a while tends to have stronger purchase intent to begin with. AI filters out the casual browsers.

Nick Baird confirmed the same thing: local search hasn't been affected — finding a plumber or a dentist still means checking the map and reviews. But listicle-style "Top 10 X" content is genuinely losing clicks. Because AI can summarize it in a single paragraph.

Five Steps to Put It Into Practice

Once you understand the principles, here's how to apply them to your own business — broken into five steps.

Step one: Get your brand narrative straight.

How does a generative engine recommend you? It scrapes everything about you online and mashes it together. Your website says one thing, third-party reviews say another, Reddit says a third — the AI reads it all and makes its own judgment.

So you can no longer just optimize a single homepage. You need to make sure that everywhere — product pages, FAQs, media coverage, industry directories — the answer to "what problem do you actually solve, for whom, and why you?" is consistent.

Step two: Rethink keyword research.

You used to research isolated keywords. Now you need to research full questions.

How to find them? Go to tools like AlsoAsked and see what users ask around your core terms. Or more directly — go to Perplexity, search with the exact sentences your target customers would use, and see whether the AI's answer includes you. SEO coach Liam Carnahan's recommended practice is simple: "I take the keywords my content is already ranking for, plug them into Perplexity, and count how many times I get cited."

Step three: Write content that's "worth citing."

The logic by which AI engines select content is, at root: can a clean, trustworthy, self-contained snippet be carved out of this passage — one that directly answers the user's question?

So what you need to do is —

• If you have data, use it. Say "a 40% improvement" instead of "significant improvement."
• If you have expert opinions, cite them. Include name, title, company — AI prefers attributed citations.
• Keep the structure clean. Use H1 through H4 by the book, break complex information into lists, and bold key facts.
• Turn the questions users actually ask into subheadings. Not "the benefits of marketing automation" but "how marketing automation helps you improve lead nurturing."

Step four: Fine-tune for different AI engines.

This is something a lot of people overlook — ChatGPT, Perplexity, and Google AI Overviews have different preferences.

ChatGPT likes long-form content with comprehensive coverage, professional signals, and solid citations. Perplexity places particular weight on citations and source credibility, with a preference for recency. Google AI Overviews blends traditional ranking signals with AI synthesis capabilities — so if your SEO was strong in the past, you have an advantage here too.

Can a single piece of content win on all three? Hard. But you can serve all three preferences within the same piece: high information density + clear citations + structure that's friendly to traditional crawlers.

Step five: Know how to measure.

The hard part of GEO is measurement — you can't just stare at ranking positions the way you can with SEO.

What you should be tracking: how often you're mentioned in AI answers, how the AI describes you, the conversion quality of traffic coming from AI, and your share of voice compared to competitors.

HubSpot's AI Search Grader is one of the few tools that can scan this kind of data today. Or the most bare-bones approach: every month, take your target keywords, ask ChatGPT and Perplexity each once, and record how many times you're mentioned and whether the mention is accurate.

A Few Pitfalls to Avoid

The mistakes I see most often —

Keyword stuffing. Worked in the SEO era, backfires in the GEO era. AI engines can read — stuff too much in and they'll judge your content as low quality.

Thin information. Surface-level articles and cobbled-together listicles, AI sees right through. What it wants is deep content that's backed by evidence and data.

Ignoring structure. A wall of plain text with no subheadings, no lists, no bold — AI can't slice it up, so it can't cite you.

Watching only SEO, forgetting GEO. You need to do both. Traditional search traffic is still here; AI search is growing. Cover both bases.

Not monitoring. GEO isn't a one-and-done deal. AI engine training data updates, user phrasing shifts, competitors keep moving. You have to look back periodically.

A Judgment Call

GEO won't replace SEO. It's an extension of SEO.

But don't underestimate it just because of the word "extension."

The first time I seriously used ChatGPT to look up product recommendations, in 2024, the answer surprised me a little — it recommended three companies, and one of them I had never seen in traditional search. I looked into it afterward; that company was doing extremely solid work in its field, it just had a small SEO budget and couldn't crack the first two pages.

The algorithm changed, and the winners changed.

In the past, SEO was a contest of budget, backlinks, and domain age. GEO is a contest of whether your content can actually answer the question. For people who genuinely build good products and put real care into their content, that's a good thing.

I keep coming back to one thought: when the search engine goes from "giving you ten links" to "just telling you the answer," what's truly scarce?

It isn't traffic. It's the right to be cited.

Whether your content becomes the source that AI cites when it delivers an answer — that's what determines whether, in the new era of search, you get seen or you get bypassed.

This is something you should start doing this year. Don't wait.