We Asked 3,000 B2B Buyers How They Use AI to Pick Vendors. Here's What They Told Us. : Rankfender Discussion Forums

We surveyed 3,000 B2B buyers who used AI assistants (ChatGPT, Perplexity, Gemini) in their last vendor selection process.

The goal was simple: find out exactly what they asked — and what actually influenced their shortlist.

The results reveal a massive gap between how companies market themselves and how buyers actually discover them through AI.

Here is what we learned.

1. Buyers Don’t Ask “Who Is the Best?”

Only 12% of buyers used generic category queries like “best CRM” or “top project management tool.”

The other 88% used queries that included:

A specific problem they were trying to solve
A constraint (budget, team size, integration)
A comparison between two specific vendors

Example queries from the survey:

“Project management tool for remote design teams under 50 people”
“How does [Vendor A] compare to [Vendor B] for enterprise security?”
“What do users say about [Vendor C] for customer support automation?”

Implication: If your content only targets category keywords, you are invisible for 88% of buyer queries.

2. The First Vendor Listed Gets 74% of Follow-Up Actions

When AI presented a list of recommended vendors, buyers almost always started their research with the first vendor mentioned.

74% visited the first vendor’s website
23% visited the second
3% visited the third or beyond

Implication: Being in the answer is not enough. Being first in the answer drives 3x more engagement than being second.

Related: What Is AI Share of Voice?

3. Structured Content Drove Citations 4.2x More Than Narrative Content

Buyers were asked what kind of content most influenced their shortlist.

Content Type	Influence Rate
Comparison table (features, pricing, use cases)	78%
FAQ section with direct answers	71%
Case study with specific numbers	64%
Blog post (narrative, no structure)	17%

Implication: AI prioritizes content that is easy to extract. If your content is not structured for extraction, it will not be cited.

4. The Discovery Funnel Is Now a Black Box

Before AI, buyer discovery followed a predictable path: search → click → browse.

Now, 63% of buyers in our survey said they made a shortlist decision before visiting any vendor website. They relied entirely on AI-generated summaries and comparisons.

Implication: If you are not in those summaries, you are not in the consideration set. There is no second chance to make a first impression.

Related: Sitemap — All Pages | Rankfender (for a complete view of how we structure our own visibility content)

5. Platforms Outside Your Website Drive 1 in 3 Citations

We tracked where AI systems found the information they cited.

Source Type	% of Citations
Your own website	64%
Third-party platforms	36%

The top third-party sources:

Wikipedia (22x citation frequency across AI responses)
G2 / Capterra (3x)
LinkedIn professional content (6x)
YouTube tutorials (14x for category queries)
Medium cross-published content

Implication: If your brand is not present on these platforms, you are missing more than a third of your potential AI citations — citations you cannot control or influence through your own site.

Related: Learn: AI Visibility Resources

6. AI Visibility Is Now a Leading Indicator of Sales Cycle Length

We correlated AI visibility scores with sales cycle data from 200 B2B companies.

AI Visibility Score	Average Sales Cycle (Days)
0–20	187
21–40	142
41–60	98
61–80	67
81–100	44

Implication: Brands with high AI visibility move through the sales funnel 4x faster. Buyers arrive pre-educated, pre-trusted, and ready to buy.

Related: Start Free Trial — see your own AI Visibility Score.

7. The Gap Between Ranking #1 in Google and Being Cited in AI Is Growing

We compared Google Search Console data with AI citation data for the same 1,000 keywords across 200 brands.

Scenario	% of Keywords
Rank #1 in Google AND cited in AI	18%
Rank #1 in Google but NOT cited in AI	64%
Not in top 10 on Google but cited in AI	12%

Implication: Traditional SEO and AI visibility are diverging. You can dominate Google and be invisible in AI answers — or be invisible in Google and still win AI citations.

What We Did With This Data

We built Rankfender to help companies measure exactly how they appear in AI answers across the exact queries buyers are actually using.

We track 7 AI systems daily
We measure Share of Voice against competitors
We flag errors (pricing, features, positioning)
We identify exactly which platform gaps (Wikipedia, G2, LinkedIn) are costing you visibility
We generate prescriptive playbooks to close those gaps

All of the data above is drawn from Rankfender’s internal research and publicly available studies cited in our AI Visibility Statistics page.

Your Turn

If you sell to B2B buyers, ask yourself:

What question would your ideal customer ask AI?
Would your brand appear in the answer?
Would you be first, second, or nowhere?
Are you present on the third-party platforms AI trusts?
How long is your sales cycle — and is AI visibility extending it?

Drop a comment with your category and I will share what the data shows about how buyers search for it.

Imed Radhouani
Founder & CTO – Rankfender

Resources from this post:

We Asked 3,000 B2B Buyers How They Use AI to Pick Vendors. Here's What They Told Us.