Do B2B Buyers Really Start Their Search in ChatGPT?

On May 26, 2026, G2 published its Summer 2026 Reports. Buried in the announcement was the cleanest procurement number the AI search category has produced all year. Answer Engine Optimization is now the third-fastest-growing software category on G2, behind only Agentic AI and AI Agents.

That ranking is not a marketing claim. It is a buyer-behavior signal from the platform B2B buyers use to shortlist software. The same release reported that 50% of B2B software buyers now start their search with an AI chatbot instead of a traditional Google search. Of those, 74% use ChatGPT.

So the answer to the question in the title is yes. Half of your buyers open an AI chatbot before they open Google.

Half of B2B buyers open an AI chatbot before they open Google.

This post walks through what the G2 data actually says, why a category appearing on a procurement review site changes the AEO conversation, and the practitioner sequence for landing inside the answers your buyers are already reading.

What the G2 Summer 2026 data actually says

The headline number gets quoted out of context. Here are the five findings that matter, each one a separate data point you can cite in a budget conversation.

Fact #1: AEO is the third-fastest-growing software category on G2

In the Summer 2026 cycle, G2 ranked AEO third among all fast-growing categories, behind Agentic AI and AI Agents. Fourteen new AEO products were added in this quarter alone. G2 categorizes software based on buyer review volume, so a fast-growing category means buyers are actively researching and reviewing these tools, not that vendors are merely launching them. The data is in the G2 Summer 2026 Reports announcement.

Fact #2: The category grew more than 2,000% in ten months

G2 disclosed in January 2026 that the AEO category expanded from 7 solutions to more than 150 in ten months, a growth rate above 2,000%. That is the period from March 2025 to January 2026. No other software category on G2 grew at that pace in the same window. The breakdown is documented in G2's analysis of the 2,000% growth.

Fact #3: Half of B2B buyers now start their search in an AI chatbot

G2's procurement survey data found that 50% of B2B software buyers start their search with an AI chatbot rather than a Google search. This is the buyer segment that signs B2B SaaS contracts. The shift happened inside a single fiscal year, which is why most marketing teams have not adjusted their budgets to match it yet. The figure was carried in the Morningstar PR Newswire release.

Fact #4: 74% of those buyers open ChatGPT first

Among buyers who start in an AI chatbot, 74% use ChatGPT as the preferred starting surface. ChatGPT is not one option among many for this group. It is the default front door to vendor research. That concentration is why a single weak ChatGPT citation position costs more than a weak position on any other surface.

Fact #5: G2 itself is now a top-20 cited domain in LLMs

G2 reported that its own domain now ranks among the top 20 most-cited domains in large language models. The review site your buyers read is also a source the AI reads when it builds an answer. This closes a loop: a strong G2 presence feeds both human research and AI citation at the same time.

The review site your buyers read is now a source the AI reads too.

Why a software category on G2 changes the AEO conversation

A category on G2 is a procurement artifact. Procurement teams use G2 grids to build vendor shortlists, justify budget, and compare tools on documented review data. AEO appearing as a ranked category means buyers now expect to evaluate AEO tools the same way they evaluate a CRM or a marketing automation platform.

This matters more than another adoption survey. We covered the demand side in 84% of B2B CMOs now vet vendors with AI before sales. The G2 data is the supply side: the tools, the reviews, and the formal category recognition all arrived in the same window.

The practical effect is that "AEO is too early to budget for" is no longer a defensible internal argument. A third-fastest-growing G2 category with 150+ products and a formal grid is past the experimental stage.

AEO is no longer a marketing experiment. It is a procurement category with a G2 grid.

For reference, the Winter 2026 AEO Grid placements that anchor the Summer cycle looked like this.

G2 grid tier	Vendors
Leader	Profound
High Performers	Otterly.AI, Scrunch AI
Contenders	Semrush, BrightEdge, Conductor
Niche	Quattr, GetCito, GenRank.io

The grid tells you which tools buyers are reviewing. It does not tell you whether your brand is inside the answers those tools measure. Those are two different problems.

Why most B2B brands are missing from the AI shortlist

Half of buyers asking ChatGPT does not mean half of brands are being cited. It means every buyer is asking, and a small repeating set of brands gets named. Four structural reasons explain why most categories cite the same few vendors.

Reason #1: Citation pools are concentrated by a handful of domains

Across ChatGPT, Claude, Gemini, and Perplexity, the top 15 to 20 domains capture most of the citation share for any given B2B category. We documented this in B2B SaaS citation concentration is worse than PageRank. If your brand is not inside that concentrated pool, the buyer never sees you in the answer.

Reason #2: Most brand content is not structured for passage extraction

LLMs do not cite whole pages. They extract passages. A 1,500-word page that buries the answer in paragraph eight is invisible, while a 50-word direct answer under a heading that matches the buyer's question gets pulled into the response. We covered the mechanic in passages beat pages.

Reason #3: ChatGPT cites review sites and listicles before your own pages

For vendor-discovery queries, ChatGPT often cites review platforms like G2, community threads, and listicles ahead of a brand's own site. A brand that only invests in its own pages misses the surfaces the model actually retrieves from. The G2 top-20 ranking is direct evidence of where the weight sits.

Reason #4: Most teams measure citation count instead of absorption

Being retrieved is not the same as being quoted into the answer. Citation count counts retrieval events; absorption rate counts whether your language actually shaped the response the buyer read. We unpacked the difference in how to measure AI citation absorption. Teams reporting count without absorption misread half their program.

If you are not in the AI's source pool, the buyer never learns you exist.

What buyers ask AI versus what your SEO assumes

Most B2B content is still built for keyword queries. AI vendor research uses a different query shape, which means the optimization target is different too.

What traditional SEO assumes the buyer types:

• •"best CRM software 2026"
• •"marketing automation tools"
• •"[competitor] alternatives"

What buyers actually ask ChatGPT:

• •"I run RevOps for a 300-person fintech on HubSpot with SOC 2 requirements. Which forecasting tool fits?"
• •"Compare three deal-room platforms for a Series C SaaS with a $40K budget and a 14-day eval window."
• •"Which AEO platform is most defensible for a regulated brand that needs German and French coverage?"

The second set carries context, constraints, and intent in a single prompt. The engine fans each one into multiple sub-queries and retrieves sources for each. Your brand has to be citable for the constraint-rich version of the question, not the two-word keyword.

How to get your brand into the AI buyer shortlist

The reasons above explain the gap. The sequence below is what we run for Cite clients in the first 60 days after the G2 data lands on a marketing leader's desk. Each step is independently runnable.

Step 1: Baseline your citation share on ChatGPT first, then the other four surfaces

Run a baseline against ChatGPT, Claude, Gemini, AI Overviews, and Perplexity for your top 50 buyer prompts. Start with ChatGPT because 74% of AI-first buyers open it first. Capture citation rate, citation rank, and which source domain drove each mention, so you know whether your site, G2, LinkedIn, or a listicle earned the citation.

Step 2: Claim and strengthen your G2 presence as a citation surface

G2 is a top-20 cited domain and a place buyers shortlist tools. Make sure your G2 profile is complete, your review volume is current, and your category placement is accurate. A strong G2 presence feeds human research and AI retrieval from the same asset, which few content investments can claim.

Step 3: Rewrite your top 20 buyer pages for passage extraction

Most pages need a 30 to 60% structural rewrite to land citations consistently. Lead each major section with a 40 to 60 word direct answer that mirrors the buyer's exact question. Add a comparison table or numbered list to any "best of," "vs," or "alternatives" page so the engine can lift a clean unit.

Step 4: Build off-page coverage on the surfaces ChatGPT actually retrieves

Identify which off-page surfaces drive citations for your top 10 prompts, then publish where the engine retrieves from. For most B2B categories that means G2 reviews, LinkedIn long-form posts, relevant Reddit threads, and category-leader listicles. We mapped the prioritization in how to get cited by ChatGPT, Claude, Perplexity, Gemini.

Step 5: Measure absorption weekly and rebuild every 30 days

Citations land, decay, and get replaced as engines re-rank sources. Most categories refresh on a 30 to 60 day cycle. Run a weekly absorption measurement against your top 50 prompts and rebuild any prompt cluster where absorption drops below half inside 30 days. Treat the program as continuous monitoring, not a one-time rewrite.

Your buyer's shortlist is built inside the answer, before the first sales call.

A working 60-day sequence reads like this:

• •Baseline ChatGPT citation share, then the other four surfaces, with source tagging
• •Strengthen the G2 profile as a dual human-and-AI surface
• •Rewrite the top 20 buyer pages for passage extraction
• •Build off-page coverage where the engine retrieves
• •Run weekly absorption measurement with a 30-day rebuild cadence

FAQ

Do B2B buyers really start their search in ChatGPT?

According to G2's Summer 2026 procurement data, 50% of B2B software buyers now start their search with an AI chatbot rather than a Google search, and 74% of that group uses ChatGPT first. The shift occurred within a single fiscal year. For B2B SaaS selling into these buyers, ChatGPT citation position is now a primary discovery channel, not a secondary one.

What does AEO being a G2 category actually mean?

G2 builds software categories from buyer review activity, so a ranked AEO category means buyers are actively researching, reviewing, and shortlisting AEO tools the same way they evaluate a CRM. AEO was the third-fastest-growing G2 category in the Summer 2026 cycle, which makes "AEO is too early to budget for" a hard internal argument to defend.

Which AI surface should B2B brands prioritize first?

Start with ChatGPT, since 74% of AI-first B2B buyers open it first, then expand to Google AI Overviews for reach. AI Overviews has the larger total audience, which we covered in is AI Overviews the biggest AI search surface in 2026. The right split depends on your buyers' actual query patterns, mapped in which LLM should you optimize for.

Why is G2 itself cited so often by AI?

G2 hosts structured, review-backed data on thousands of software products, which is exactly the kind of source LLMs retrieve when answering vendor-comparison queries. G2 now ranks among the top-20 most-cited domains in LLMs. A complete, current G2 profile therefore supports both human shortlisting and AI citation from a single asset.

How long does it take to show up in AI vendor research?

A first citation baseline can be built in about 14 days, and top-page passage rewrites usually start affecting citations within 30 to 60 days, matching the typical engine refresh cycle. Off-page surfaces like G2 reviews and LinkedIn posts can move faster on some engines and slower on others, which is why weekly measurement matters.

What to do this week

Open ChatGPT and run the five buyer prompts that most often precede a deal in your category. Note whether your brand is named, whether a competitor is named, and which source the model cites. If your brand is absent from more than half of those answers, you have the gap the G2 data is pointing to.

The G2 Summer 2026 report did not create the shift. It documented it at the platform B2B buyers use to choose software. Teams that build a citation baseline in the next 30 days lock their position before the next engine refresh cycle and walk into the next budget review with the category-recognition argument already made.