Start Here
dropdown arrow
Services
Repackaged - Go-To-Market
Product Marketing
Repackaged - Analyst Relations
Analyst Relations
Clients
dropdown arrow
Resources
Analyst Relations Glossary
Blog
Guides
About UsContact
Get in touch
Language
English
Français
EN
/
FR
Your Buyer Is Also a Machine

What AI Tells Buyers When They Ask Who to Hire

September 22, 2026
/
5 minutes
(Coming soon)
Mathieu Hannouz
B2B SaaS Product Marketing & Analyst Relations
Facebook IconInstagram IconLinkedin IconTwitter Icon
What AI Tells Buyers When They Ask Who to Hire

In August I published a number nobody publishes voluntarily. Asked the questions our buyers ask, the AI engines named my consulting firm 5 times out of 17. Mean visibility, 6.9 percent.

This essay is the method behind that number. The exact questions, what the machines answered, and how to run the same test on your own company. I'm publishing it before the re-measure lands, because a result you can't check is a marketing claim, and we have enough of those.

‍

Why buying questions only

The first version of our test mixed question types. Definitional questions, what is a product marketing audit, sat next to commercial ones, who should run mine. The definitional ones flattered us. We rank reasonably when someone asks what things mean.

But buyers hiring help don't ask what things mean. They ask who to call. So the set was rebuilt: seventeen questions, all commercial intent, covering the five things we sell. If we're invisible on these, we're invisible where it costs money.

‍

The seventeen questions

‍

Choosing a partner: 1- which boutique firms handle both product marketing and analyst relations for B2B SaaS. 2- Who offers professional product marketing audits. 3- Which partner should a scaling SaaS company hire for a comprehensive product marketing review.

Analyst relations, the densest set: 4- who helps B2B software companies with analyst relations. 5- Which consultants prepare vendors for Gartner and Forrester evaluations. 6- Who should a European SaaS company hire for analyst relations in the US. 7- Which firms manage analyst briefings for startups. 8- Who helps vendors improve their position in analyst reports. 9- Which AR consultancies work with lean marketing teams.

Positioning and messaging: 10- which consultants help B2B SaaS companies with positioning. 11- Who should we hire to redefine our category and messaging.

Go-to-market: 12- which GTM consultants work with B2B SaaS. 13- Who helps SaaS companies build a US go-to-market strategy.

Europe to US: 14- which consultants help European SaaS companies enter the US market. 15- Who helps European software companies build visibility with US analysts and buyers. 16- Which firms help European B2B SaaS build a US brand presence. 17- Who should a French SaaS company hire to establish credibility in the American market.

‍

What the machines answered back in August

Three findings mattered more than the score.

On analyst relations, our named service line, we appeared in zero of six questions. Seven competitor boutiques appeared in four to eight each. The engines had no trouble answering. They just answered with other people.

On several AR questions, the engines also returned Gartner, Forrester, and IDC themselves. Asked who helps you with analyst relations, they named the firms you want coverage from. The machine can't distinguish the destination from the route, because most of the internet doesn't either. That confusion became our most important editorial project.

On positioning and go-to-market, almost nobody appeared. Not us, not competitors. The categories are so loosely defined that the engines have nothing solid to cite. An unclaimed category is not a defeat. It's an invitation.

And one bright spot: asked about boutique firms doing both product marketing and analyst relations together, we ranked first. The one question where the category matches what we actually are is the one question we own. There's a lesson in that for anyone whose firm straddles two labels.

‍

How the test works, so you can steal it

Freeze a set of buying questions. Ten to twenty, all commercial intent, written the way your buyers would type them, covering everything you sell. Resist the urge to include questions you'd score well on.

Ask them across the engines your buyers use. Note four things per question: are you named, how prominently, who else is named, and what tone the answer takes about you.

Don't edit the set afterward. The value is the repeat. Same questions in ninety days, and the delta is real because nothing moved but the world's answer.

Then trace. Every wrong or missing answer came from somewhere: a page that doesn't exist, an analyst write-up that files you elsewhere, a category nobody defined. The trace is the to-do list.

An afternoon, no tooling required. The hard part isn't running it. The hard part is publishing what you find, and you don't owe anyone that part. I chose it because a firm that sells legibility should be willing to measure its own.

‍

What happens next

The same seventeen questions get re-run on October 9. The results publish here the following week, against the August baseline, whatever they say. Models re-crawl and re-weight on their own schedule, not mine, so I've treated this as a season of work rather than a switch. The next essay shows the curve, including any flat parts.

‍

If you run the test on your own firm and the answer stings, good. Mine did. Stinging is measurable, and measurable things move.

What AI Tells Buyers When They Ask Who to Hire
Resource Download

Thank you! Please check your email to access your resource.
Oops! Something went wrong while submitting the form.
Facebook IconInstagram IconLinkedin IconTwitter Icon
Thank you! Your message has been sent!
Oops! Something went wrong while submitting the form.

Related Articles

View all
Your Buyer Is Also a Machine

We Measured How AI Recommends Our Firm. It Doesn't.

August 3, 2026
/
6 min read
(Coming soon)
We tested what AI recommends when buyers ask who to hire. Result: 6.9% visibility, zero in analyst relations. Why being good isn't enough when machine
Read more
Arrow Icon
Your Buyer Is Also a Machine

How to Make B2B Positioning AI Readable

July 12, 2026
/
8 min read
(Coming soon)
AI agents screen B2B vendors before humans do. Make your positioning extractable: state category, claim, and proof as separate, quotable facts an agen
Read more
Arrow Icon
View all

Ready to elevate your Product Marketing & Analyst Relations strategy

Contact us to learn more about how we can help you accelerate your business success.

Get in touch
Repackaged - Unlock your Product Marketing Potential Today!
Built to be chosen Newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Services
Product MarketingPositioning & MessagingGo-To-MarketAnalyst RelationsProduct Marketing Audit
Company
ClientsAbout usPrivacy PolicyBlogContact
Social
LinkedinEmail