Media & PR

Muck Rack's Generative Pulse Tracks Real AI Search Queries

Muck Rack's new Generative Pulse feature recommends which prompts to track based on real AI search behavior, not queries a brand team guesses at.

By The Pull Desk·Today·5 min read
Media & PR

Muck Rack's Generative Pulse Tracks Real AI Search Queries

The short version

THE SHORT VERSION: Muck Rack launched Generative Pulse, a GEO-monitoring feature built into its Brand Premier and Agency Premier tiers that recommends which prompts PR teams should track based on real consumer AI-search behavior across ChatGPT, Gemini, and Google AI — not prompts a brand team guesses at.

What happened

Muck Rack announced Generative Pulse via press release on September 10, describing it as the first communications platform to bring real-world AI search data into GEO monitoring. Instead of a PR team manually listing prompts they think buyers might ask an AI assistant about their category, Generative Pulse surfaces the prompts people are actually asking, mapped from millions of real consumer interactions across ChatGPT, Gemini, and Google AI. The feature builds on Muck Rack's earlier 'What Is AI Reading?' research, most recently updated February 16, which analyzed more than a million AI-cited links and found roughly a quarter came from journalism sources, that press-release citations were up 5x since July 2025, and that cited releases contained twice the stats and 2.5 times the bullet points of an average release.

Why Generative Pulse matters for how founders write releases

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PR teams have been guessing at GEO the same way SEO teams once guessed at keywords before real search-volume data existed — picking prompts that sound plausible rather than prompts buyers actually type. Generative Pulse closes that gap for Muck Rack's Premier customers, but the underlying research point matters regardless of which tool a founder uses: AI systems already cite press releases at 5x last year's rate, and they favor releases dense with stats and bullet points over narrative prose. That's a direct, testable brief for anyone writing a release this quarter, whether or not they ever open Muck Rack's dashboard.

  1. Write releases with extractable stats, not narrative
    Structure your next press release around three or four concrete numbers in bulleted form near the top, mirroring what Muck Rack's own citation research found AI systems already favor, rather than burying the number in a quote or a paragraph.
  2. Ask what people actually prompt, not what you'd guess
    Before your next GEO push, run your own product and competitor names through ChatGPT and Gemini using a handful of realistic buyer phrasings, and note which pages get cited back — that's the manual version of what Generative Pulse automates.
  3. Route earned-media wins back into your AI citations
    Any press mention or interview that gets picked up should get linked from your own site with the same stats restated in extractable form, since Muck Rack's data shows journalism citations already make up roughly a quarter of what AI systems cite.

By the numbers: Muck Rack's underlying research analyzed more than 1 million AI-cited links, found roughly 25% came from journalism sources, and found press-release citations up 5x since July 2025.

"GEO measurement is only as useful as the questions you're measuring. Brands shouldn't have to guess what people might be asking AI." — Gregory Galant, CEO, Muck Rack

What to do this week

Pull up your last three press releases and check whether any lead with a specific, bulleted number in the first 100 words; if not, rewrite your next one that way before it goes out. If you use Muck Rack, Cision, or a comparable platform, ask your rep this week whether GEO or AI-citation tracking is on your current tier.

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