We score 100 UK employer brands every month on exactly this question for The SetpointHQ Index, probing ChatGPT, Claude, Gemini and Perplexity with real candidate questions. The pattern is consistent: the median brand scores under 30 out of 100 on citation, the measure of whether assistants actually name you. Here is what separates the brands that get named from the brands that get skipped. It is the same question the pillar guide to employer brand AI visibility opens with, answered as a method rather than a diagnosis.

The short answer: 7 steps

1. Add Organization and JobPosting structured data. Machine-readable markup is the single strongest predictor of citation in our data.
2. Let AI crawlers in. Check your robots.txt and firewall rules for GPTBot, ClaudeBot, PerplexityBot and Google-Extended. The careers site access and schema guide covers how to check both of these against your live site.
3. Fix your knowledge graph entry. A correct Wikidata entity with your official website attached anchors everything else.
4. Publish hard numbers on your careers pages. Salaries, headcounts, progression stats. Assistants quote specifics, not adjectives.
5. Answer the questions candidates actually ask. Pages shaped as questions and answers get lifted into answers far more often than brochure copy.
6. Use 1 consistent brand name everywhere. If your careers site, LinkedIn and Wikidata disagree about what you’re called, the machines hedge by omitting you.
7. Measure it monthly. Ask the 4 assistants the questions your candidates ask, and track whether you appear. What gets measured gets cited.

Why famous brands are invisible

Fame does not transfer. In our July 2026 scoring run of UK retail’s 10 biggest employer brands, 6 scored 97 or higher on knowledge graph presence: the machines know these companies in detail. The same cohort’s median citation score was 27.5 out of 100. Sainsbury’s, a top-2 UK supermarket, appeared in 0 of our graduate employer probes across all 4 assistants. Its careers site carries no structured data at all.

The mechanism matters. When an assistant assembles an answer about employers, it retrieves and synthesises sources it can parse and trust. A careers site with structured job data, quotable facts and a clean entity record is usable raw material. A beautiful brand campaign in a JavaScript app the crawlers cannot render is, to the machine, silence.

The 7 steps in practice

1. Structured data first

Organization markup on your corporate root, JobPosting markup on every live role. This is the layer the retail cohort fails hardest on: 3 of the 10 score 25 or below, and half the sector sits at 45 or below. It is also the cheapest of the 7 steps.

2. Crawl access

We regularly find employer brands whose security rules block the exact crawlers they need. If GPTBot cannot fetch your careers page, nothing downstream can save you.

3. Knowledge graph hygiene

Assistants disambiguate brands through knowledge graph entities. A missing or wrong Wikidata record means your citations can leak to a similarly named company.

4. Quotable evidence

Assistants prefer sources with specifics. “Competitive salary” is invisible. “Starting salary £26,500, median time to first promotion 18 months” is quotable.

5. Question-shaped pages

Candidates ask assistants questions. Pages with clear headings, direct answers and numbered lists match the retrieval pattern. This page is built that way deliberately.

6. Entity consistency

Same name, same domain, same description across your site, LinkedIn, Glassdoor and Wikidata. Inconsistency reads as uncertainty, and uncertain sources get dropped.

7. Measurement

AI visibility moves as models and indexes update, so a one-off fix decays. The brands climbing our Index treat it like SEO circa 2010: a discipline, not a project.

Where to start

If you want the full picture of how visible your brand is today, that’s what our Recruitment Marketing Audit (£999) establishes: your scores on all 5 dimensions and the single finding costing you the most applications. What the AI visibility half measures is set out in full, scorecard included, and if you are comparing us against someone else, how to choose an AI visibility audit gives you five criteria and four red flags to hold us to. Agencies and in-house recruiters who want the tooling should look at Studio. For the wider methodology, see our guides to generative engine optimisation and answer engine optimisation for recruitment.

Source: The SetpointHQ Index, 100 UK employer brands, scored monthly across ChatGPT, Claude, Gemini and Perplexity. Retail figures from the July 2026 run.