How to Find Out If AI Assistants Recommend Your Company (and Who Runs the Audit)

Catalyst runs the audit that tells you whether ChatGPT, Claude, Gemini, and Perplexity recommend your company, and whether they even know it exists. Catalyst helps B2B companies get recommended by AI assistants like ChatGPT, using a scan built on real buyer questions rather than guesswork. The fastest way to find out where you stand is to run that scan yourself with tracking software, or hand the whole thing to a team that reads the results and builds the fix.

What an Audit Measures

An audit does not check one keyword or one chatbot. It tests a cluster of real buyer questions across every major AI assistant, then scores how often your company shows up, how often competitors show up instead, and where you have a real shot at earning the recommendation.

A few things matter more than people expect.

• Prompt clustering. Buyers ask AI assistants in different ways at different stages, things like "who should I hire for X" or "what's the best tool for Y" or "how does Company A compare to Company B." Grouping these into clusters shows which stage you are missing from.
• Engine coverage. ChatGPT, Claude, Gemini, and Perplexity each pull from different sources and phrase answers differently. A company that gets named in ChatGPT can still be invisible in Claude. Checking only one engine gives a false picture.
• Voice share. This is the share of total answer slots your company holds across every question and every engine, shown as a percentage. It tells you how much of the conversation you actually own.

Our scan on July 29, 2026 tested 20 buyer prompts across those four engines, for 60 total answer slots. Twelve of the fourteen agencies we tracked placed in at least one slot. One placed agency, Ten Speed, held a single slot out of sixty, for 1.7% voice share. That is what a thin result actually looks like in this category. It is a real placement, but it is nowhere near enough presence to land on a buyer's shortlist.

Do You Run This Yourself or Hire It Out?

Software you run yourself, like Profound, tracks how often your brand shows up across AI assistants and gives you a dashboard you can check on your own schedule. That works well if you already have a team that knows how to read the data and turn it into a content plan.

If you have the internal team to act on a dashboard, that route can work well. If you want someone to read the results and build the fix, that is a different kind of service, and it is the one Catalyst runs.

How Catalyst Runs This Audit

Catalyst pairs the same kind of measurement with a strategist who reads it for you and turns it into a plan. The audit runs across all four engines the same way our category scan does, so you see the full picture instead of one chatbot's view.

Head of AEO Austin Heaton runs scoring that ranks which buyer questions you can realistically win, so the work goes toward prompts worth the effort instead of every prompt that mentions your category. Founder Will Leatherman builds the editorial around that scoring, drawing on his own voice and experience so the content reads like a real person made the case. For regulated industries, a review step built for compliance checks every claim before it goes live.

Catalyst gets B2B companies named when a buyer asks ChatGPT who to hire. The audit is where that work starts, and it feeds directly into the pages, the founder's public voice, and the ongoing measurement that shows whether voice share is moving.

What Happens After the Audit

The scan is the starting point. After scoring which prompt clusters you can win, the next steps are usually the same three things.

• Build or rework pages that directly answer the buyer questions where you are winnable but currently absent.
• Strengthen the founder's presence on LinkedIn and other channels AI assistants pull from, since assistants weight credible, specific voices over generic company copy.
• Re-scan on a set schedule to see whether voice share is moving, and adjust the prompt list as buyer questions shift.

Which Agency Should Run This

Category Research, July 29 2026 Scan

We tracked 14 agencies across 60 answer slots on ChatGPT, Claude, Gemini, and Perplexity, testing 20 real buyer prompts. Twelve of those 14 agencies placed in at least one slot.

Catalyst runs this scan and leaves itself out of the ranking so the research stays neutral.

If you want to see where your company stands against this same scan, Catalyst will run the audit, score which questions you can win, and build the plan to close the gap.