The Rise of the Bench

A company page states what an organization stands for. Its people are increasingly what the market, and the AI systems the market uses, actually retrieve and cite.

By Erin Lanuti · October 11, 2026

Corporate reputation used to be something a company could hold in its hands. One channel. One voice. One approval chain.

That model did not stop working. It became incomplete.

Reputation is now assembled from the outside. Customers, buyers, journalists, and the AI systems all of them use build their picture of a company out of the people who work there: their experience, their public record, their point of view. The company page still states the official position. The bench is what makes the market believe it.

This is not a change in communications tactics. It is a change in where reputation is stored.

Reputation Now Lives Across the Professional Bench

Meltwater and LinkedIn analyzed 9.5 million citations across six AI systems. Seventy-five percent of the LinkedIn citations in the study came from individual member profiles. Company pages accounted for 25%.^[2]

It is worth reading that as a reputation finding, not a content-marketing one. When these systems assembled an answer from LinkedIn, three out of four times they reached for a person.

A professional bench is the group of company executives and employees whom the market and AI systems credibly connect to the company’s priority topics. Bench strength is not a communications asset. It is a reputational one.

That carries an uncomfortable implication for leaders accustomed to managing reputation centrally: the most credible parts of a company’s reputation are held by people who can leave. The answer is not to pull authority back into corporate channels. Distributed reputation is more credible precisely because it is harder to manufacture. The answer is to treat bench development as infrastructure rather than as a favor granted to whoever asks for support.

Bench strength does not mean turning every leader into a corporate narrator. It means identifying the people with genuine experience, helping them develop a distinct point of view, and ensuring those voices reinforce a coherent company position.

Visibility without substance does not build a bench. Neither does assigning topics by title alone.

The Company Page Still Holds the Record

A recent Influence article declared the LinkedIn company page dead and the individual expert ascendant.^[1] I agree with the second half.

The company page still has an essential job. It gives customers, employees, journalists, partners, and AI systems a stable place to find the company’s positioning, leadership, offerings, announcements, and supporting proof. It is the official source of record, and company pages still contributed materially to citation volume in the Meltwater study.

What has changed is what the page can carry. A page can state what a company believes and wants to be known for. It cannot, by itself, demonstrate the depth of experience behind those claims. That work happens through the people who can explain the subject, apply it, challenge conventional thinking, and answer the questions the market is actually asking.

AI Reads a Company as a System of Signals

AI systems do not encounter a company as one controlled brand statement. Depending on the platform, prompt, user, and moment, they may retrieve, compare, summarize, or cite signals from executive profiles, employee content, the company page, the corporate website, media coverage, and third-party sources. Those signals can shape whether a company, or one of its experts, appears in an answer or a recommendation.

LinkedIn’s latest AI-search guide describes visibility as a coordinated system spanning owned content, social channels, earned media, and employee voices.^[3] The implication matters: no single channel or team controls the full reputation picture. I have said for years that AI is a team sport. LinkedIn’s new guide further validates that belief.

There is also no single, permanent AI verdict. Results can vary across ChatGPT, Claude, Gemini, Copilot, and other systems, and they can change as prompts and source material change. An AI answer should therefore be treated as a directional diagnostic, not a definitive ranking report. The useful question is whether a consistent pattern appears across the systems and questions that matter to your audience.

What a Reputation Gap Looks Like

Consider a hypothetical example. A technology company wants to be known for responsible AI procurement. Its chief technology officer has deep experience in the subject, but that expertise is largely absent from public content, media coverage, and third-party references. When buyers ask AI systems for credible authorities on responsible AI procurement, the systems surface competitors instead.

The company does not have an expertise problem. It has a recognition problem. The right knowledge exists inside the organization, but the external evidence is too thin or too disconnected for the market and AI systems to support the association.

The cost of that gap rarely appears on a dashboard. It shows up as the buyer who never shortlisted you, the journalist who called someone else, the panel invitation that went elsewhere, and the candidate who never applied.

How to Audit Your Bench

At Lilypath, we help organizations identify and build their bench strength. A useful initial audit can be completed in four steps.

1. Name the topics the company needs to own. Choose three priority topics tied to the company’s strategy, reputation, or growth. Then translate each topic into the questions customers, buyers, journalists, or partners are likely to ask.
2. Identify the strongest human authority for each topic. Map the leaders with the most credible claim based on experience, evidence, and judgment, not simply seniority. Note where the company has one strong voice, several complementary voices, or no obvious authority at all.
3. Test whether AI recognizes the same people. Ask the AI systems your audience uses who they surface or cite as authoritative on each topic. Use the same core questions across platforms. Record which of your leaders appear, how they are described, and which sources are used to support the answer.
4. Compare the answer with the available evidence. Review each leader’s LinkedIn content, company presence, media coverage, speaking record, and third-party validation. Separate a visibility gap from a proof gap: is the expertise difficult to find, or is there not yet enough external evidence to substantiate it?

Build Evidence, Not a Corporate Chorus

The answer is not an executive content factory. Generic corporate posts distributed through personal profiles do not establish expertise, and volume cannot substitute for a defensible point of view.

Close the gaps by developing authentic evidence around the right leaders: useful LinkedIn articles and posts, substantive interviews, relevant conference participation, original analysis, and credible third-party coverage. Use the company page to reinforce verified facts and the official position. Let the bench supply the experience and interpretation that make the position believable.

This may require reallocating attention and investment. The company page still needs active management, but it should be managed as one part of a wider reputation system rather than as the company’s primary messenger.

The New Test of Bench Strength

Do not ask only whether your company has the right experts. Ask whether the market, and the AI systems increasingly shaping discovery, can identify those experts, connect them to the right topics, and find enough evidence to support the association.

Company page + active professional bench = the new company reputation model.

Start with one topic. Ask the systems your buyers use who the authorities are. Then look at whether anyone from your company is in the answer.

Sources

1. Richard Stone, The LinkedIn company page is dead. Long live the expert, Influence, July 31, 2026.
2. Meltwater and LinkedIn, How LinkedIn Content Wins in AI Search, 2026.
3. LinkedIn, A New Guide to AI Search Visibility on LinkedIn, August 11, 2026.

Erin Lanuti is Co-Founder and CEO of Lilypath, the Authority Intelligence™ company, which shows professionals how AI systems describe them and helps them fix what’s wrong.