QBest project management software with AI features?
AChoose Asana for a general business, marketing, or professional-services team.
We asked ChatGPT, Claude and Perplexity 100 real buyer questions to see which project management tools AI recommends, mentions and cites.
900 observed answers, 100 buyer questions, 3 engines — read in ninety seconds.
Named among the top three in 41% of eligible answers — 359 of 882 — ahead of monday (36%) and ClickUp (31%).
Asana is mentioned in 51% of answers, yet its own site appears among the cited sources in 18% — the two layers of AI visibility move independently.
23 brands were named at least once; only 4 reached a 10% recommendation rate. AI answers with two or three names, not ten links.
Share of answers naming the brand among AI's top three · September 2026
Being recommended is only one part of it. A brand can be frequently mentioned by AI while its own website plays a smaller role in the sources behind those answers. A brand can win one without winning the other.
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AsanaCategory leader, September 2026 · both layers measured per brand in every editionRecorded answers from the September 2026 benchmark — quoted verbatim, with the products each engine ranked and the sources it cited.
QBest project management software with AI features?
AChoose Asana for a general business, marketing, or professional-services team.
QBest project management tool with built-in AI features?
AAsana includes rule-based automation and AI-generated summaries to streamline updates.
QBest project management tool with built-in AI features?
AIf you want the best overall project management tool with built-in AI, I’d recommend ClickUp for most teams, Asana for structured workflows, and Wrike for enterprise risk and automation.
The benchmark uses questions designed around how people actually evaluate project management software — six buyer intents, 100 questions, frozen for the whole year.
Every question was asked 3 times across ChatGPT, Claude and Perplexity.
The same pipeline runs for every category, so editions stay comparable month over month.
Full methodology →100 fixed buyer questions, phrased the way people talk to an assistant
ChatGPT, Claude, Perplexity — live web search on, each answering independently
3 runs per question and engine, to average out run-to-run noise
The ordered products each answer recommends, plus every cited source
Recommended, mentioned and own-site-cited rates per brand, with raw counts
One observed benchmark per edition — evidence, not a prediction
The same 100 questions are re-run for each edition so changes can be measured over time.
Questions that explicitly name a brand are excluded from that brand's recommendation and mention denominator. Raw counts are shown for every result.
Download the benchmark dataset — raw brand-level counts for every result — and read the methodology behind it.
Edition 96859746 · question set v1 · published 2026-09-02
Free to cite and share under CC BY 4.0 — please link back to this page.
Same three engines, same method — run on the buyer questions of your own category. Asana leads this one; find out where you stand in yours.
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