A procurement lead types one question into an AI tool: “Compare the top five platforms for our use case.” Ten seconds later, she has a shortlist, a few trade-offs, and a suggested winner.
Your sales team never sees that question. They only find out whether you made the list.
That is how AI in B2B buying works today. The first real evaluation of your company often happens inside an answer you didn’t write. This piece explains what buyers ask, where the answers come from, and how to check what AI says about you.
The Shortlist Now Forms Before the First Call
This isn’t a niche behavior anymore. Foundry’s AI Priorities research found that 99% of IT decision-makers now use AI in the tech buying process. Their top uses are comparing solutions and features (48%) and defining technical requirements (47%).
The same research shows what AI is replacing. Use of product demos and pilots in evaluation fell from 66% to 33% in a single year.
That matters because buyers already spend little time with vendors. Gartner’s research puts it at about 17% of the total buying journey, split across every supplier they consider. AI now fills much of the remaining time.
What Buyers Actually Ask
Each member of the buying group asks a different question. Here are typical prompts, and what each one means for you.
| Who asks | Typical prompt | What it means for you |
|---|---|---|
| Business lead | “Best tools for [problem] for a mid-size company” | You need to be clearly linked to the problem, not just the category |
| Technical evaluator | “Does [vendor] integrate with [system]?” | Integration details must be public and easy to find |
| Security lead | “Is [vendor] SOC 2 compliant?” | Compliance facts must appear on your site and in third-party sources |
| Finance | “What does [category] software typically cost?” | Without any pricing context, AI will quote your competitors instead |
| Champion | “[Vendor A] vs [Vendor B] for [use case]” | Comparison content shapes the answer, so it helps to publish your own |
This is why mapping the full buying committee matters even for AI visibility. Each role runs its own research, often without telling the others.
Where the Answer Comes From
AI tools don’t rely on your website alone. They build an answer from many sources, and you only control some of them.
| Source | What AI learns from it | How much you control it |
|---|---|---|
| Your website | What you do, who you serve, product details | Full |
| Review sites | How customers rate you and why | Partial |
| Analyst and editorial coverage | How experts position you in the market | Low |
| Community discussions | What practitioners actually say about you | Low |
| Partner and syndicated content | How others describe you in context | Partial |
When these sources agree, AI describes you with confidence. When they conflict, you’re more likely to be left out or described vaguely.
The Check That Happens After the Answer
Here is the encouraging part. Buyers don’t fully trust what AI tells them.
In the same Foundry study, more than half of respondents said they place only moderate trust in AI outputs. About one-third expressed high trust. So buyers verify the shortlist:
- 53% cross-check with analyst or editorial content
- 47% visit vendor websites
- 43% consult peers
This step is where many deals are quietly decided. A vendor can appear in the AI answer and still lose if the buyer’s follow-up checks turn up thin coverage or messaging that doesn’t match. The careful buyers, often the ones with the biggest budgets, are exactly the ones who check.
Why Your Analytics Understate This
Many teams look at referral traffic from AI tools, see small numbers, and move on. That’s a mistake.
SE Ranking’s research found that AI platforms drove just 0.15% of global web traffic in 2025, compared with 48.5% from organic search. However, Rank Science reports that visitors referred by AI convert at four to five times the rate of search visitors.
More importantly, most AI influence never shows up as a click. A buyer who reads an answer, drops you from the list, and never visits your site leaves no trace in your reports.
A One-Afternoon AI Visibility Audit
You can see where you stand in a few hours. Here’s a simple method:
- Write ten prompts your buyers would realistically ask, using the table above as a starting point.
- Run them in two or three major AI tools, and save the answers.
- Score each answer using the rubric below.
- List the competitors that appear where you don’t, then compare their third-party coverage with yours.
| Check | 0 points | 1 point | 2 points |
|---|---|---|---|
| Are you mentioned? | Not at all | Mentioned in passing | Named as a strong option |
| Is the description accurate? | Wrong or outdated | Partly right | Matches how you’d describe yourself |
| Are your strengths clear? | Missing | Vague | Clear and specific |
| Are sources credible? | None cited | Only your own site | Independent sources cited |
A total below 4 on a prompt means that buyer question is going to your competitors.
Fixing What the Audit Finds
| What you find | Likely cause | What to do |
|---|---|---|
| You’re not mentioned | Too few independent sources | Build third-party coverage through content syndication and analyst outreach |
| You’re described incorrectly | Outdated or inconsistent messaging | Align your site, profiles, and partner descriptions around the same wording |
| Your strengths are vague | Content is clever but unclear | State use cases, outcomes, and differentiators in plain language |
| Competitors dominate comparisons | They’ve published comparison and FAQ content | Publish honest comparison pages and structured FAQs, as covered in our B2B SEO trends guide |
Most of these fixes also strengthen brand awareness with human buyers. The work isn’t separate from good marketing. It just has a new audience.
Three Mistakes to Avoid
- Chasing keywords instead of clarity. AI tools interpret meaning. Pages stuffed with keywords but vague on substance tend to get summarized poorly.
- Ignoring sources you don’t own. Your site is one input among many. Review profiles and editorial mentions often carry more weight.
- Treating it as a one-off project. AI answers shift as new content appears. So rerun the audit every quarter.
What This Means for Sales
By the time a buyer books a meeting, they’ve often formed a view from several AI answers and follow-up checks. So your first sales call is really a second opinion.
That changes how sales should prepare. Ask early what the buyer has already read and heard. Then address those points directly, rather than starting from a standard pitch.
It also strengthens the case for reaching the whole buying group. Each person asks AI a different question, which is why single-threaded ABM leaves so many gaps. Meanwhile, intent data can show which accounts are researching your category, even when that research started in an AI tool.
The vendors who adapt fastest won’t be the ones who find a new trick. They’ll be the ones whose story is clear, consistent, and backed by others wherever a buyer looks.
Not sure what AI tools say about your company?
ColedaB2B runs AI visibility audits for B2B brands and builds the third-party coverage that gets you onto the shortlist. Book an AI visibility audit.
FAQs:
Most use AI to compare solutions, define technical requirements, and build vendor shortlists. Foundry’s research found that 99% of IT decision-makers now use AI somewhere in the buying process.
Only partly. More than half place moderate trust in AI outputs, so most buyers verify the answer with analyst content, vendor websites, or peers before acting.
They combine information from many sources, including vendor websites, review sites, analyst coverage, and community discussions. Vendors described consistently across these sources are more likely to be recommended.
SEO aims to rank a page in a list of results. AI visibility means being described accurately inside an answer, which depends more on clarity and third-party validation than on keywords.
Write ten questions your buyers would ask, run them in a few major AI tools, and score whether you’re mentioned, described accurately, and backed by credible sources.
