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AI visibility : ChatGPT

How employer brands show up in ChatGPT.

Ask ChatGPT about working in your sector and a handful of employers get named. Everyone else is simply not in the conversation. Here is how it decides, and how to be one of the named.

CandidateWhat is it like to work at [your company]?
ChatGPTI do not have much specific information about this employer. You may want to check their careers page or review sites directly.
Thin answer No detail
Illustrative example, not a live reading.
Where the answer comes from

ChatGPT draws on two things. Both have to work in your favour.

SOURCE 01

What it learned in training

This shapes whether your brand is a known entity at all. A recognised organisation with a clean entity gets named with confidence. An unknown one gets a vague non answer.

SOURCE 02

What it retrieves live

When ChatGPT searches the web to answer, current and accurate detail about you can make it into the reply, but only if the crawlers can reach and parse your careers content.

The common failures

Why most employers are missing.

Dull and fixable. Each gap chips away at the model's confidence to name you, and confidence is exactly what citation requires.

01

Hidden content

Careers content locked inside a job board widget the crawlers cannot see.

02

No structure

No schema telling the model what your organisation and roles actually are.

03

No entity

No claimed knowledge graph entity, so the model has nothing authoritative to anchor to.

04

Thin corroboration

Your story asserted only on your own site and nowhere else on the web.

How to show up

Give an honest account, in a form the model can use.

Make your careers content reachable and machine readable. Claim and complete your knowledge graph entity so the facts about your organisation are unambiguous. Earn corroboration by getting your employer story cited beyond your own domain. The discipline that covers all of this has a name: generative engine optimisation.

None of this is about gaming the model. It is about giving an accurate account of your organisation in a form it can actually use. The fastest way to know where you stand is to measure it, or to run a quick self check in five minutes first.

The SetpointHQ Index

ChatGPT names most UK employers less often than you think.

Both of ChatGPT's sources fail most employers in the same place. From training, it knows the company exists. When it searches live, it finds a careers site with little it can read or quote. The SetpointHQ Index measures that gap across ChatGPT, Claude, Perplexity and Gemini for 100 UK employer brands. Knowledge graph is the strongest of the five dimensions, at a median of 89.4. Citation, whether the assistants actually name you, is the weakest at 27.5, and 21% of the 100 publish no schema an assistant can read at all.

Explore The Index →
Median composite, UK all‑sector
54.9
100 brands
1 September 2026
Citation27.5Schema35.0KG89.4Crawl75.0Social74.0
Median score by dimension across the 100 published brands, rubric 2026.06.5, 1 September 2026 run. Source: The SetpointHQ Index.
Questions

Common questions

Why does ChatGPT name some employers and not others?
It names brands it recognises as clear entities and can find corroborating information for. Employers with accessible, structured, well corroborated content get cited. Those without it get skipped or described vaguely.
Does ChatGPT use live web data for employer questions?
Often, yes, when it searches the web to answer. That means current, accessible careers content can make it into the answer, but only if the crawlers can reach and parse it.
Can ChatGPT get our company wrong?
Yes. With a weak or absent entity, the model can confuse you with a similarly named organisation or state outdated facts. A claimed knowledge graph entity reduces this risk.
How often should we check what ChatGPT says about us?
Treat it as a tracked metric, not a one off. Answers shift as the web and the models change, which is why The SetpointHQ Index measures visibility over time.
Next step

See what ChatGPT says about you, and why.

The Recruitment Marketing Audit shows exactly how ChatGPT and the other three assistants describe you today, which signals are holding you back, and what to fix first. Getting named in the answer is its own discipline (answer engine optimisation) and the AI Visibility Audit sets out exactly what we measure.