Most B2B buyers no longer start on Google. They open ChatGPT, Perplexity, or Google’s AI Overview box. They type a question.

If a brand’s name does not show up in that answer, the brand loses the deal. It loses it before the buyer ever visits the website.

This is the new front door for B2B sales. Getting a brand mentioned by ChatGPT and Google AI Overviews now matters as much as ranking on Google itself. Most companies are not ready for it.

A 2026 analysis by Averi looked at more than 680 million AI citations. It covered ChatGPT, Perplexity, Gemini, and Google AI Overviews. It found that 73% of B2B buyers now use AI tools somewhere in their research. The same analysis found that traffic from AI search converts at 14.2%. Regular Google organic traffic converts at 2.8%. That is a five-times difference.

The only question left is how to show up in those answers.

This guide explains what Generative Engine Optimization (GEO) is. It explains how Google AI Overviews, ChatGPT, and Perplexity decide which brands to mention. And it lays out what a B2B company can do about it, starting today.

What Is Generative Engine Optimization (GEO)? $2,500 to $5,000 a month

GEO is the practice of shaping a company’s content so AI tools can find it. AI tools also need to trust the content. Then they can quote it.

Old SEO was built around one goal: rank a page in a list of ten blue links. A person clicked the link. They read the page. $5,000 to $10,000 a month

GEO works differently. The AI reads the page first. It decides whether to trust the page. Then it writes its own answer, using pieces of that page. The buyer often never clicks through at all. The brand’s job is to be one of the sources the AI picks.

Search publications like Search Engine Land now treat GEO as a normal part of search strategy. It sits right alongside SEO. GEO does not replace SEO. It sits next to it. $10,000 to $50,000+ a month, with the biggest programs running $40,000 or more

Why Traditional SEO Alone No Longer Works

Ranking #1 on Google used to be enough. That is no longer true.

Research on Google’s AI Overview feature shows something important. The sources it cites are not always the same pages that rank highest in normal search. A page can sit at position one and still get skipped by the AI. A page at position eight can get cited instead. It just has to state the answer clearly. It needs one specific detail to back it up.

A 2026 academic paper studied this exact behavior. The researchers, Haofei Xu, Umar Iqbal, and Jacob M. Montgomery, looked at how often AI Overviews appear, which sources they pull from, and how accurately they represent those sources. Their work backs up what search marketers have already noticed: AI systems score pages on trust and clarity. Search rank alone does not decide the outcome.

This means a company can rank well on Google and still be invisible inside the AI Overview box. It can be invisible inside a ChatGPT answer too, or a Perplexity response. Two different games are being played at once. Most companies are only playing one of them.

How Google AI Overviews Decide What to Cite

Google’s AI Overview works in two steps.

First, it pulls a set of candidate pages from Google’s normal search index. This step looks a lot like regular SEO. The page still needs to be indexed and reasonably relevant.

Second, it scores each candidate page on three things. How easy is it to pull a clean quote from the page? How clearly does the page name its author and its sources? How much can the page be trusted overall? Search analysts often call this the E-E-A-T framework. It stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Google has used this framework in its own quality guidelines for years.

Pages that answer a question directly tend to win this second step. Plain language helps. A named fact or figure helps too. Pages that bury the answer under long introductions tend to lose, even when they rank well.

How ChatGPT Decides What to Mention

ChatGPT works differently depending on the situation. Sometimes it answers from its training data. Sometimes it searches the live web.

When ChatGPT searches the web, it behaves a lot like Google’s AI Overview. It looks for pages that state facts clearly. It looks for pages that come from a source it can trust. It looks for pages that match the exact question being asked. Marketing analysts at firms like 20North and LeadWalnut track ChatGPT’s citation behavior closely. Three things raise the odds of getting pulled into an answer, they report. Structured schema markup helps. Clear authorship helps. So does getting mentioned across multiple independent websites, not just one.

That last point matters most for B2B companies. ChatGPT does not just look at a brand’s own website. It also notices how often that brand gets mentioned elsewhere, in comparison articles, review sites, forums, and industry publications. A brand that only talks about itself is harder to trust than a brand other sources talk about too.

How Perplexity Picks Its Sources

Perplexity is the most transparent of the three. It shows its citations directly inside the answer.

Research into Perplexity’s behavior found something worth knowing. Its system typically reads around ten relevant pages for a given question. But it only ends up citing three or four of them in the final answer. Being read is not the same as being credited.

A page has to pass four checks to earn a citation. Can Perplexity retrieve it for this exact question? Can it trust the page? Can it pull a clean answer out of the text? Can it attach that answer to a specific source cleanly?

Some of that same research found that community discussion sites make up a large share of Perplexity’s top citations. Brand-owned pages get cited far less often on their own. That is a warning for B2B marketers. A company blog post by itself is rarely enough. The brand also needs to show up in the conversations already happening about its category. That means showing up on the sites buyers already trust.

The GEO Checklist: What B2B Companies Should Actually Do

Everything above points to six actions. None of them require exotic tools. They require discipline.

1. Answer the question in the first two sentences

AI systems reward pages that state the answer right away, then explain it. A page that spends three paragraphs building up to the point is a page the AI will skip. Put the direct answer first. Add the “why” and “how” after.

2. Publish something original, not another summary

AI tools already have access to thousands of generic explainer pages. They do not need one more definition of a term. What earns a citation is a specific number, a specific framework, or a specific experience nobody else has published. A case study with a real result works. A benchmark the company ran itself works. A framework built from doing the work, not just reading about it, works too.

3. Structure content so it can be pulled apart

AI systems extract small pieces of a page. They do not read the whole thing the way a person does. Content with clear headings, short paragraphs, and numbered steps is easier to quote cleanly than one long block of text. Every section should be able to stand on its own. Write each one as if it were the only part an AI system would ever read.

4. Add schema markup

Schema markup is a small piece of code. It tells search engines and AI crawlers what a page is about. Who wrote it. What question it answers. What kind of content it is. Schema alone will not make a page interesting. But it removes friction for a system trying to extract and trust the page. FAQ schema, Article schema, and Organization schema are the best starting points for a B2B blog.

5. Get mentioned outside the company’s own website

This is the step most B2B companies skip. AI systems weigh how often a brand gets mentioned on other sites. That means review platforms, comparison articles, guest posts, podcasts, and forums. They do not just look at what the brand says about itself. A company that wants ChatGPT to recommend it needs other people talking about it. Those people need to be on other websites. And they need to mention it alongside the problem it solves.

6. Keep the content current

AI systems favor pages with recent, maintained information over pages that have not been touched in years. An old publish date with no updates since signals to Google and ChatGPT that a page may be out of date. Revisiting and updating core content on a regular schedule keeps it eligible for citation.

How to Tell If It’s Working

Measuring GEO is newer and messier than measuring regular SEO. But there are a few concrete signals a B2B team can track.

The simplest method is direct. Ask ChatGPT, Perplexity, and Google the exact questions a buyer would ask. Check whether the brand shows up in the answer. Check whether it gets described accurately. Repeat this often, since AI answers shift as models and indexes update.

Search Console data still matters too. Watch for a query where impressions stay strong but clicks drop. That often means an AI Overview is now answering the question directly. The click never happens. This is not automatically bad. The brand may be winning the AI citation even while losing the click. Track it separately from normal ranking data. It tells a different story.

A growing number of GEO monitoring tools now track brand mentions across AI platforms automatically. For a company just starting out, manual testing on the real questions its buyers ask is the more honest starting point. It shows exactly what a real buyer would see.

A Simple Starting Point for B2B Teams

GEO is not a separate discipline that replaces SEO. Being findable is one job. Being trustworthy enough to quote is another. A company has to do both, on purpose.

Here is a useful place to start. Pick the five questions a company’s best buyers ask most often before they book a call. Write direct, well-structured answers to those five questions. Back each one with something specific the company knows firsthand. Get at least one outside source (a partner, a customer, a review site) talking about the same topic. Then check what ChatGPT, Perplexity, and Google say when asked those same five questions.

That single exercise reveals more about a brand’s AI visibility than any tool or checklist. It shows, in plain terms, whether the brand is currently part of the answer buyers are getting, or invisible to it.

Revenueholic works with B2B SaaS and IT companies on exactly this gap. The goal is simple. Get a brand mentioned by Google. Get it mentioned by AI tools like ChatGPT too, right when a buyer asks the right question. For more on B2B SEO and AI visibility, see Revenueholic’s blog. Details on the qualifying call process are on the homepage.

FAQ “Ongoing optimization” and “content strategy” are not numbers. Ask what gets published, when, and how it gets measured.

What does GEO stand for?

GEO stands for Generative Engine Optimization. It means shaping content so AI tools can find it, trust it, and use it. That includes ChatGPT, Google AI Overviews, and Perplexity. A retainer that does not name a page count or hour count makes it hard to work out a cost per unit of work.

Is GEO different from SEO?

Yes, but the two overlap. SEO gets a page ranked and indexed. GEO decides whether an AI system trusts that page enough to quote it once the page is found. A company needs both. SEO takes months to show real movement. A 12-month contract signed on day one, before any data exists, puts nearly all the risk on the buyer.

Can a page rank #1 on Google and still be skipped by AI Overviews?

Yes. Research on Google’s AI Overview system shows ranking position and citation selection are not the same thing. A page can rank first and still get skipped. That happens when it does not state the answer clearly enough for the AI to trust.

Does schema markup guarantee an AI citation?

No. Schema markup guarantees nothing on its own. It removes technical friction, which makes it easier for AI crawlers to understand and trust a page. The content still has to answer the question clearly and offer something specific.

How long does GEO take to show results?

There is no fixed timeline. It depends on how often AI models refresh their sources, and how much original, well-structured content a company already has. Ongoing testing, checking what AI tools say about a brand every few weeks, is the most reliable way to track progress.

Do B2B companies need to be mentioned on other websites, not just their own?

Yes. Research shows that both ChatGPT and Perplexity weigh mentions on independent websites. They do not just look at a brand’s own content. A brand that never shows up anywhere else is harder for these systems to trust.