AI company: search visibility for recruiting engineers

An AI research company wanted to recruit engineers in Palo Alto and the wider Bay Area. Candidates increasingly ask ChatGPT, Perplexity, and Google's AI features which companies are hiring and what they pay, so the company asked how it appeared in those answers.

My role

AI search visibility audit and recommendations, hired for a defined engagement.

What I examined

• How the company appeared, or didn't, in AI answers to the questions engineers ask about jobs, companies, and compensation.
• The sources those answers drew on, and where the company's own information was missing or outweighed by others.
• The company's entity footprint: how consistently its name, description, and relationship to its related domains were stated across the web.
• The careers content on two company domains.

What I delivered

• Recruiting-focused recommendations for the careers pages and FAQs, written around the questions candidates ask.
• Metadata and structured data recommendations for the careers and company pages.
• Positioning built on the company's approved compensation information, so AI answers could quote accurate figures.
• Suggestions for supporting third-party references that AI systems treat as evidence.

Why it's interesting

The goal wasn't selling a product. It was being represented accurately to a specific audience making a career decision. AI search visibility applies anywhere people ask an assistant before they act: hiring, investing, choosing a vendor, or checking someone's background.

The same audit works for any organization that cares how AI describes it to the people it wants to reach, whether they're candidates, customers, or investors.

Status

Deliverables completed; the engagement is paused. See AI search visibility.

Updated October 5, 2026