Is AI recommending you - or your competitors?

Here’s an uncomfortable exercise: open ChatGPT and ask it to recommend the best option in your category. Then do the same on Perplexity, Gemini and Google’s AI. If your competitors’ names come back more often than yours, that’s not a rounding error - it’s a pattern, and it’s costing you buyers who never see an alternative. The good news is that patterns can be diagnosed and closed.

Why the competitor lens matters

Your own share of voice, on its own, is just a number. It only becomes meaningful next to your competitors. A 25% share sounds middling until you learn the category leader sits at 60% - or reassuring until you learn three rivals are all above you. Competitor visibility is the context that turns your data into a strategy.

AI answers make this especially stark. Because the engine usually names only a few brands, every competitor mention is often a slot you didn’t get. It’s close to zero-sum on the highest-intent prompts.

Running a competitor visibility audit

A proper audit is systematic, not a one-off spot check:

1. Name your real competitors. Include the obvious rivals and the ones AI keeps surfacing that you didn’t expect - those are the ones quietly winning.
2. Score every tracked prompt as a head-to-head. For each question, across each engine, record who was mentioned and who was recommended.
3. Build a share-of-voice comparison. Line your brand up against each competitor, per engine and overall, so leaders and laggards are obvious.
4. Find the gap prompts. Isolate the high-intent questions where competitors appear and you don’t. That’s your target list.

Visibility AI’s Diagnose view does this automatically - showing side-by-side share of voice and flagging exactly which prompts and engines competitors are winning.

Reading the share-of-voice gaps

Not all gaps are equal, and reading them well is where the leverage is:

• A gap on a best-of prompt (“best X in [city]”) is urgent - that’s a buyer at the point of decision.
• A gap on one engine but not others points to a source problem specific to that surface. Perhaps a review site that engine trusts doesn’t feature you.
• A gap where one competitor dominates usually traces back to a single strong asset - a guide, a comparison page, a trusted third-party mention - you can learn from.

Reading gaps this way tells you not just that you’re losing, but why and where to push.

Acting on what you find

An audit is only worth running if it changes what you do next. The productive move is to sort your gap prompts by intent, then work top-down: pick the highest-intent answer a competitor is winning and ask what’s earning them the mention. Usually it’s a source the AI trusts - which points straight at whether you need a better comparison page, a presence on a specific review site, or a citation you’re missing.

Then re-scan and watch the gap close. Because the answer set moves week to week, treating this as an ongoing head-to-head - not a one-time report - is what keeps you ahead of competitors who are optimizing too.

If you want to see exactly where AI is recommending competitors over you, start with a free AI visibility check to get the first read, or Visibility AI’s free trial runs the head-to-head across all seven engines for you.