4 of your 5 named competitors clear real AI visibility. Your brand almost never does.

An earlier post on this blog measured the gap between the target brand and its single most-visible named competitor in each panel, and found the target trailing in all 270 of 270 cases. That post looked at only one competitor per panel, the leader. It left an open question: is that leader a lone winner sitting above four near-zero also-rans, or does the rest of the named field pick up real visibility too? We recomputed the full 6-brand field this session. It is a whole-field story, not a two-brand story.

A real bar, not a token one

We set a threshold of 10% organic mention rate, buyer-intent prompts that never name any brand, the honest test of discovery. A brand clearing that bar is not a rounding error in the response set; it is showing up in at least one in ten of the answers that matter. Then, for each of the 270 live panels (target brand plus five named competitors, six brands total, every panel), we counted how many of the six cleared it.

No panel in the dataset landed at 0, 1, or 2 brands clearing the bar. Every single one had at least 3, and nearly 91% had 4 or more. If this were a lone-winner pattern, we would expect most panels to cluster at 1 or 2. Instead the typical panel looks like 4 or 5 brands out of 6 all clearing a real visibility threshold on the same buyer-intent prompts.

The named competitors are the ones filling that field

Strip the target brand out and look at just the five named competitors per panel. In 245 of 270 panels (90.7%), at least 4 of the 5 named competitors clear the 10% bar. In none of the 270 panels did fewer than 3 of the 5 clear it.

Meanwhile the target brand clears the same 10% bar in only 6 of the 270 panels, 2.2%. So the field a challenger brand is up against on a typical buyer-intent prompt is not one entrenched leader plus four ignorable names. It is 4 or 5 real, visible competitors, and the challenger itself is almost always the one name in the panel that is not on the list.

The concentration varies by category

Project management software, the largest and most crowded category in this dataset, has the lowest average (3.87 of 6), consistent with a bigger overall brand pool splitting attention more ways. Customer support software runs the opposite direction, averaging just over 5 of 6 brands clearing the bar, and it is also the only category where the target brand itself cleared 10% more than once (5 of 58 panels). HR software sits in between on concentration but had zero target brands clear the bar across all 39 panels.

Why this changes the fix

If the pattern were a lone winner plus four also-rans, the fix would look like unseating one specific competitor. That is not what the data shows. A challenger brand is typically competing against 4 or 5 names that have each independently earned real buyer-intent visibility, on different pages, likely through different citation sources. Closing the gap to any one of them narrows the field by one name, not the whole problem. The realistic target is joining a crowded set of visible brands, not replacing a single one at the top.

Methodology

Data drawn from 270 live, search-grounded audit panels (project management, customer support, and HR software brands, 173/58/39 split), each panel naming the target brand plus five named competitors, six brands total, run across four AI engines: ChatGPT with web search, Gemini with grounding, Perplexity Sonar, and Claude with web search. We recomputed organic mention rate (buyer-intent prompts that never name any brand) for every one of the six tracked brands in each panel fresh from results.jsonl via engine/scorer.ts this session, then counted, per panel, how many of the six brands (and, separately, how many of the five named competitors alone) reached a 10% organic mention-rate threshold. No development-rail or fixture data is included; all 270 panels are live engine calls, verified by directory scan before use. Data collected June-August 2026.