| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AI visibility and answer engine tracking tools | Marketing | 15% | 3 of 90 | 29% | 42 | criticized challenger | ▲+5Since September 2026: 10% → 15%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AI marketing agents | Marketing | 0% | 62 of 157 | 0% | 2 | under 10 labels · led by HubSpot Breeze at 24% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| AI visibility | 10% | 15% | ▲+5Since September 2026: 10% → 15%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 3 of 90 |
| AI marketing agents | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 62 of 157, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 0 | 2 | 4 |
| GPT-5.4 mini | 2 | 0 | 1 | 1 | 4 |
| Gemini 3.5 Flash | 2 | 2 | 0 | 1 | 5 |
| Perplexity Sonar | 2 | 0 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 3 | 0 | 3 | 6 |
| Mistral Small | 1 | 0 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 2 | 1 | 0 | 4 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 1 | 1 | 0 | 3 | 5 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 1 | 1 | 1 | 0 | 3 |
| GPT-6 Luna | 1 | 1 | 0 | 0 | 2 |
| Muse Glimmer 30B | 2 | 0 | 1 | 0 | 3 |
Verbatim evidence the judge attached to positive labels.
“A purpose-built Answer Engine Optimization platform that combines the industry's deepest AI visibility data with content creation, automated workflows, agent analytics, and real-time attribution.” Muse Glimmer 30B · AI visibility · comparative prompt · first choice
“Peec AI or Profound are most likely to deliver the right balance of features, analytics depth, and team-focused pricing.” Claude Haiku 4.5 · AI visibility · direct prompt · first choice
“the best single pick is usually Profound if your priority is AI visibility / answer-engine tracking specifically” GPT-5.4 mini · AI visibility · direct prompt · first choice
“Profound: The Enterprise Standard ... Key differentiator: Deepest technical analytics, enterprise security compliance” Gemini 3.5 Flash · AI visibility · comparative prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Tools to Approach with Extra Caution or Avoid (if possible): - Profound: Privacy concerns” Grok 4.1 Fast · AI visibility · negative prompt · hard negative
“What to Avoid - Profound ($399+/mo) – Overkill unless you're enterprise” Kimi K2 · AI visibility · paraphrase prompt · hard negative
“Avoid pricier ones like Profound ($99+)” Grok 4.1 Fast · AI visibility · budget prompt · hard negative
“they have phased out their lower self-serve tiers for brands. Their basic self-serve tiers have historically gated models like Gemini, Claude, Copilot, and Grok” Gemini 3.5 Flash · AI visibility · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 126 of the 126 answers that named Profound and are not a share of its labels.
331 of the 387 domain citations in answers naming Profound came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 226 | 27 | 2026-09-29 | ||
| Webinar or virtual event | 30 | undated | |||
| Report or ebook | 24 | undated | |||
| Case study | 21 | 16 | 2026-09-03 | ||
| News or press | 21 | 10 | 2026-09-21 | ||
| Comparison | 18 | 2 | 2026-07-30 | ||
| Conference or event | 14 | 1 | 2026-10-03 | ||
| Podcast or video | 9 | 6 | 2026-09-16 | ||
| Glossary or explainer | 3 | 0 | 2026-01-29 |
As the event pages on tryprofound.com state them, read September 28, 2026.
Every page tryprofound.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Profound's own pages state, read September 28, 2026: tryprofound.com, tryprofound.com/pricing, trust.tryprofound.com, tryprofound.com/features/aim, tryprofound.com/customers. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Profound's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Profound, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Profound by email, built from the raw record of the edition. It shows:
Profound is among the products AI models recommend first in AI visibility and answer engine tracking tools this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.