Picture a founder at 11 p.m. typing into an AI assistant: who should I hire as a fractional CRO for my Series A software company? The answer that comes back may read like a recommendation from someone who did the research. Whether anyone did is a separate question.

That question often travels through a network. A founder asks a trusted investor, who calls two operators, who surface a few names from experience. Now the founder can put the same question to an assistant. Fractional executives are in the middle of that shift whether they signed up for it or not.

What I Saw in a Small Number of Runs

In October 2026 I ran an exploratory set of tests: the same question about hiring a fractional CRO for a Series A software company, put to several AI assistants. It was a small number of runs and it is not a study. Some assistants named individual executives. Others named only firms and marketplaces. One said it could not find a trustworthy ranked list of individuals, said most of what it found was firms ranking themselves, and suggested the founder ask investors and other founders. Across the answers that named people, 18 different individuals appeared and none appeared in more than three. Several answers stated budget figures as fact, and they ranged from about $4,000 to $25,000 a month for the same role and stage.

Two founders asking the same question could leave with answers built from very different sources. Not every answer said where it came from.

Some of the guides assistants quote were written by firms inside them.

Where the Answers Came From

In one test, an assistant cited a single website five times. That site had published a guide to the best firms in the category, and the firm it listed first was the one that published the guide. The answer gave no sign of that relationship.

Another assistant named five individuals from a list published by a platform that invites professionals to join it. Its descriptions followed the list's "Signature Strengths" wording closely. It also said they could work onsite in the founder's city one or two days a month. The list does not say that. A founder reading the answer could not tell which parts were quoted and which were generated.

A third assistant, in a run where I left out the city, took most of its comparison table from a guide signed "Published by Fractional CRO (a Vendux company)," which lists that company among the options. The assistant then advised the founder to skip two firms that the guide described with "Keep in mind" notes and never told founders to skip. That is a stronger judgment than the source made, and the answer did not say who published the source.

None of this means the assistants got facts wrong. Some of the firms and people they named may be excellent. The point is narrower. The answer the founder received was shaped in part by whose page was easy to find, easy to read, and easy to quote. That is not the same as who is best for the role.

What Gets Repeated

The usual advice is to be listed everywhere: every platform, every directory, every profile. A listing is necessary and may not be enough. In my tests, being listed did not mean being quoted.

The pages that were repeated had something in common. One firm's own San Francisco page, which states the revenue range it serves, a named four-week diagnostic, and its location, was reproduced almost word for word, and the firm appeared in at least four answers. In another answer, a marketplace profile's specific revenue results were quoted, and the keyword headline above them was not. Specific numbers and named offers were among the things repeated.

Here is the asymmetry. A firm can publish a comparison guide and list itself first, and in one of my tests that guide became a source an assistant cited five times. Most individual fractional executives have a profile, a LinkedIn presence, and perhaps a case study in a PDF. That may not compete. And they cannot see which sentence an assistant will repeat about them. Posting more on LinkedIn does not close that gap by itself. A page you own that says who you help, for what problem, with what proof, is the closest thing to a counterweight I saw.

The Objection

Platform and firm guides are often accurate and useful. Founders need basic definitions before they can evaluate anyone, and a comparison table, even a flawed one, gives a buyer a starting frame. Tracing every source would slow the answer and bury the useful parts.

That is true, and incomplete. A useful source is not the same as a neutral one. A founder early in a search may not check who published the table in front of her, and may treat useful as trustworthy.

One assistant in my tests said directly that its descriptions were largely the providers' own claims, and still listed first the firm whose own pages were most of its sources for that row. The disclosure was accurate. The ranking still followed the firm's own pages.

The Check

Ask three assistants what a fractional version of your role costs and who to hire. Save the exact question, the assistant, the date, the full answer, and every source it cites. Note who wrote each source. Repeat each question before you draw a conclusion. One answer is a starting observation, not a finding.

At Bicker Table Advisory, I help experienced professionals turn their expertise into market authority that buyers can recognize and trust. That means clear positioning, attributable evidence of the work, and an AI visibility check on how they appear when buyers search, including through AI assistants.

A founder can now put to an assistant the question she used to put to a trusted friend. If a firm can write the guide an assistant quotes, an executive can write the page it might quote instead.