AI Visibility Snapshot · May 2026
Acme PM
acmepm.com · Project management for marketing agencies
AI Visibility Score
31/100
Low
Est. monthly AI reach
62.1M
vs. Asana 381M
Total mentions
3.1K
9.4K citations
Executive summary
Acme PM shows a classic visibility paradox: strong on branded queries (people who already know the name), but largely absent on unbranded, high-purchase-intent searches where prospects are actively evaluating tools. The score lags every named competitor by 22+ points. The fastest unlocks are in pain-point and use-case queries, where none of the major AI engines currently surface Acme PM organically.
01 — How you stack up
Competitor benchmark
Asana
68
Monday.com
61
ClickUp
53
Acme PM
you31
02 — Distribution by AI platform
Where your mentions live
Google AI Overview
44.8%
ChatGPT
22.6%
Gemini
17.9%
Perplexity
9.2%
Claude
5.5%
Heavy concentration in Google AI Overview suggests strong traditional SEO authority that's being re-used by AI — but the relative weakness on ChatGPT and Claude points to a gap in the source content those models prefer (long-form forum discussions, structured comparison pages, and Wikipedia-style entity references).
03 — Five categories we tested
Query-by-query analysis
Brand queries
Acme PM dominates branded searches — when buyers already know the name, every engine surfaces accurate info and positive framing.
Competitor queries
Strong on direct comparisons in the agency niche, but loses unprompted mentions in general PM head-to-heads.
Commercial intent
The most expensive gap. Buyers actively shopping rarely see Acme PM in the consideration set.
Pain-point queries
Almost zero presence where buyers describe the problem first. This is the highest-leverage area to fix.
Use-case queries
Job-to-be-done searches consistently surface incumbents — Acme PM is missing from most despite clear product/market fit.
04 — What we'd do next
Closing the gap
Build contextual mentions where buyers research
Reddit (r/agency, r/marketing), Quora, YouTube reviews, and LinkedIn long-form. Target pain-point and commercial-intent queries — that's where Acme PM is invisible today.
Implement entity + structured data signals
SoftwareApplication, Organization, FAQ, AggregateRating, and BreadcrumbList schema. AI engines lean heavily on structured signals when deciding which products to surface.
Publish differentiated on-site content for the gap queries
Specifically: "how to track billable hours," "agency profitability," "retainer scope." Clear headings, fresh data, and use-case-led framing — built for AI extraction, not just human readers.
Want one of these for your brand?
Free for a limited time. We'll run the same 40+ queries across ChatGPT, Claude, Gemini, and Perplexity and email you the full report within 24 hours.
This is an illustrative sample using fictional company data. Your report will use real data sourced directly from each AI engine.
