The competitor you lose to depends on which AI engine you ask

Asana is the top competitor in project management software loss records on every engine we tested. That part is consistent. What is not consistent is who takes second place. Gemini and Perplexity name Jira. ChatGPT and Claude name ClickUp. A brand that only checks one engine will draw the wrong conclusion about who its real second competitor is.

The setup

We ran 173 live AI visibility panels in project management software, each testing a different brand against buyer-intent prompts across four search-grounded engines. In every response where the tested brand did not appear, we recorded which competitor the engine named instead. That produces a loss record per engine: how often each competitor filled the space a brand did not occupy.

Asana wins the top spot everywhere, which is expected given its market position. The question worth asking is not "who is number one" but "who is number two," because that is the brand a challenger is actually competing against for the leftover attention.

Loss records by engine

On Gemini and Perplexity, Jira takes the number two spot with a real share of the loss mentions, close to a third. On ChatGPT and Claude, Jira barely registers: 1 mention out of 64 on ChatGPT (1.6%), 4 out of 173 on Claude (2.3%). Instead, ClickUp takes second place on both, with a much smaller but still consistent share.

Put another way: on Gemini, when a brand loses in project management software, the runner-up is Jira 29% of the time. On Claude, the runner-up is Jira 2% of the time and ClickUp 16% of the time.

Why the number two spot moves

Each engine builds its answer from a different retrieval path: different search index, different weighting of aggregator and editorial pages, different freshness window. Asana's coverage is broad enough to clear the bar on all four. Jira and ClickUp sit closer to the retrieval threshold, so which one an engine surfaces depends on which sources that engine's search step actually pulls for a given prompt. Gemini and Perplexity appear to draw more often from sources where Jira has a strong presence (developer and engineering-team contexts). ChatGPT and Claude appear to draw more often from sources where ClickUp has stronger placement (general small-business and agency contexts).

Neither is wrong. They are reading different slices of the same web, and the buyers using each engine are getting a different competitive set as a result.

What this means for a visibility strategy

If you only look at a blended, all-engines score, you will see Asana as the dominant competitor and stop there. That is true but incomplete. The brand actually contesting your second-place visibility is different depending on which engine your prospective buyers are using, and the content and source work required to displace Jira is not the same work required to displace ClickUp.

Practically, this means checking loss records per engine before deciding which competitor to target. A brand that spends its content budget chasing Jira-focused comparison pages will not move its ChatGPT or Claude visibility at all, because ClickUp, not Jira, holds the real number two position on those two engines.

An AI visibility audit breaks out loss records by engine rather than blending them, so the competitor you are actually losing to on each platform is visible instead of averaged away.

Methodology

173 live teaser panels in project management software, each 10 buyer-intent prompts run across four search-grounded AI engines (ChatGPT with web search, Gemini with grounding, Perplexity Sonar, Claude with web search). In every response where the tested brand did not appear, the competitor named in that response was logged against the engine that produced it. Loss mention counts are the sum of those competitor appearances per engine, not a per-brand count. Data from CitedWell's audit engine, collected through July 2026, live-engine runs only.