Our research team just published a breakdown of who actually controls the AI answer in job search, and it confirmed something I've been telling clients for months: the resume is no longer the first filter. The AI engine is.
Why did I already suspect this before the data came in?
I wrote here a couple weeks ago about the 75% resume-rejection myth and where that number actually came from. What I didn't get into then is what replaces the old filter. When a candidate wants to know what a job pays, or whether a company is actually a good place to work, they aren't opening a careers page first. They're asking ChatGPT or Perplexity. And the engines have already decided, on their own, which sources they trust to answer that question.
What does the citation map actually look like?
Our editorial team mapped it out category by category. The Bureau of Labor Statistics owns the raw salary and outlook numbers. Glassdoor owns the culture-and-comp layer almost by default, ahead of anything a company says about itself. LinkedIn shows up everywhere at once, postings, company pages, and individual employee posts all feeding the same answer. And Reddit, specifically r/cscareerquestions, carries more weight on interview-experience and layoff-sentiment questions than any employer statement I've ever seen a comms team approve.
The employers who show up well in that answer aren't necessarily the best places to work. They're the ones with a managed Glassdoor presence, structured salary bands published somewhere crawlable, and employees who post about their own experience. The ones who are invisible are mostly small and mid-size employers who never thought of Glassdoor as a communications channel at all.
What should a company actually do about this?
Stop treating employer review sites as a defensive, damage-control category. Start treating them as recruitment marketing infrastructure. A thin Glassdoor profile isn't neutral anymore, it's a competitive disadvantage against a competitor who is managing theirs. Same with salary transparency: vague range language reads as less trustworthy to an AI engine than a specific, structured number, whether or not it feels less trustworthy to a hiring manager.
It's the same shift I described in why growth marketing built for Google alone is already out of date. Hiring is a funnel too, and it now has an AI-search stage in front of it that most HR teams haven't built for.
The full audit, with the engine-by-engine breakdown of who ChatGPT, Claude, Gemini, and Perplexity cite for job search queries, is on Everything-PR: Who Controls the AI Answer in Job Search.