AI research company: accurate AI answers for job seekers
An AI research company was hiring engineers in Palo Alto and across the Bay Area. Engineers now ask ChatGPT, Perplexity, and Google's AI features who's hiring and what they pay, so the company wanted to know how it showed up in those answers.
The engagement
A defined AI search visibility audit with recommendations.
What I examined
- Whether, and how, the company appeared when assistants were asked the questions engineers ask about jobs, employers, and compensation.
- Which sources those answers relied on, and where the company's own information was absent or outweighed.
- How consistently the company's name, description, and relationship to its related domains were stated across the web.
- Careers content across two company domains.
What I recommended
- Careers pages and FAQs rewritten around candidates' actual questions.
- Metadata and structured data for careers and company pages.
- Compensation facts drawn from the company's approved figures, stated clearly enough for assistants to quote correctly.
- Third-party references worth pursuing, since assistants treat outside sources as corroboration.
Why it's a useful example
Nothing here was about selling a product. The goal was to be described accurately to a specific audience making an important decision. The same audit applies wherever people consult an assistant before acting: choosing a vendor, an employer, an investment, or a professional.
What carries over
Careers questions are a clean test of AI visibility because the facts are specific and checkable: locations, roles, pay ranges, and benefits.
Status
Recommendations delivered; the engagement is paused. See AI SEO, GEO, and AEO or the AI search readiness checklist.
Updated October 6, 2026
