GEO for recruitment agencies: how clients find you in AI search

A hiring manager who needs a specialist recruiter no longer has to scroll a page of search results. They can ask ChatGPT, Gemini, Copilot, Perplexity or Claude for "three recruitment agencies that specialise in actuarial roles in London" and get a short answer with names. If your agency is not one of those names, you may never know the conversation happened.

That is the problem GEO for recruitment agencies sets out to solve. This article explains how AI assistants put those answers together, which sources they lean on, what you can change on your own site and elsewhere, and how to measure whether it is working. It focuses on the client side: being recommended when employers look for a recruiter.

The term comes from a 2023 research paper, "GEO: Generative Engine Optimization", by Pranjal Aggarwal and colleagues, which reported that content changes could increase a source's visibility in generative engine responses by up to 40% in their tests. That was a research setting, not a promise for any one website, but it established that visibility in AI answers can be influenced.

How clients ask AI assistants for recruiters

Client questions to assistants tend to be specific. They combine a specialism, a location or market, and often a constraint. Typical examples look like this:

• →"Which recruitment agencies specialise in quantity surveyors in Bristol?"
• →"Who are good interim finance recruiters for private-equity-backed businesses?"
• →"Recommend an executive search firm for a charity CEO role in Scotland."
• →"What should I look for in a cyber security recruitment agency?"

The last example matters too. Questions that are not asking for names still shape the answer a client trusts. If your agency is cited as the source of a clear explanation, you are in the conversation before the shortlist is written.

Where AI assistants get their information

Assistants answer from two broad sources: what the underlying model learned in training, and what they retrieve from the web at the time of the question. For questions about specific suppliers, retrieval matters a great deal, because the assistant needs current, specific information.

Each major assistant uses its own search crawler for that retrieval. OpenAI says sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers. Perplexity recommends allowing PerplexityBot in robots.txt so a site can appear in its results. Anthropic describes Claude-SearchBot as the crawler that improves search results for Claude users. Google's documentation on AI features says pages need to be indexed and eligible to show a snippet in Google Search to appear in AI Overviews and AI Mode.

GEO for recruitment agencies: what to change

Most of what helps is good practice you would want anyway. The difference is precision: AI assistants reward pages that state clearly who you are, what you do and where, in words they can lift into an answer.

Make your entity consistent

An assistant has to be confident that the agency on your website, your Google Business Profile, your LinkedIn page and a trade directory are the same business. Use the same name, the same description of your specialisms and the same locations everywhere. If you rebranded, make sure old descriptions are updated or clearly linked to the new name.

Write quotable pages

Assistants favour content that answers a question in a sentence or two. Each specialism page should open with a plain statement such as "We recruit qualified accountants and finance leaders for manufacturing businesses across the Midlands." Add a short definition where a term needs explaining, an FAQ built from real client questions, and comparison tables where a client is choosing between options, such as contingent, retained and interim.

Our guide to sector landing pages shows how to structure these pages, and it applies just as much to AI search as to Google.

Use structured data to remove doubt

Organisation markup lets you state your name, logo, website, address and sameAs links to official profiles such as LinkedIn. Google's documentation says Organization markup helps it understand your administrative details and tell your business apart from others. Our article on structured data for recruitment websites covers Organisation, Service, FAQ and Person markup in more depth.

Google is also clear that there is no special schema needed for AI Overviews or AI Mode. Structured data helps by making your information unambiguous, not by acting as a separate AI switch.

Treat llms.txt as optional

llms.txt is a proposal, put forward by Jeremy Howard in September 2024, for a markdown file at the root of a website that summarises its content for language models. It is not an agreed standard, and Google's AI features documentation does not mention it. Adding one is low effort and does no harm, but it should come after the work above, not instead of it.

Build third-party proof

Your own site says what you claim. Other sources confirm it. Genuine reviews, accurate directory listings, trade body membership and expert comment in sector media all give assistants independent evidence. Consultant profiles help as well, which is why consultant personal branding on LinkedIn supports AI visibility as much as candidate attraction.

How to measure GEO

There is no Search Console for ChatGPT. Assistants also vary their answers between sessions, so a single check proves little. The practical approach is a fixed prompt set, run on a regular schedule.

Google says sites appearing in AI Overviews and AI Mode are included in overall traffic in Search Console's Performance report under the Web search type. That means you cannot isolate AI Overview clicks there, but strong traditional SEO still feeds into them. Our recruitment agency SEO checklist covers those foundations.

If you would like help putting this into practice, our AI search optimisation service covers benchmarking, page and markup changes and ongoing prompt tracking.