| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Incident management and on-call | IT operations and endpoint | 2% | 9 of 65 | 10% | 21 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AIOps platforms | IT operations and endpoint | 0% | 84 of 93 | 100% | 1 | under 10 labels · led by New Relic at 17% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Incidents | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 16 → 9 of 65 |
| AIOps | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 84 of 93, 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 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 1 | 1 | 2 |
| Gemini 3.5 Flash | 0 | 1 | 2 | 1 | 4 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 1 | 2 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 1 | 3 | 0 | 0 | 4 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“The Best All-Rounder: FireHydrant ... widely considered the best modern alternative to expensive enterprise platforms” Qwen 3.7 Flash · Incidents · budget prompt · first choice
“Best for: Teams wanting an all-in-one platform spanning alerting, on-call, incident response, and retrospectives” DeepSeek V4 Flash · Incidents · comparative prompt · alternative
“Best for ITIL & Customer Support Alignment ... the Freshworks ecosystem is highly compelling.” Gemini 3.5 Flash · Incidents · direct prompt · alternative
“incident.io, Rootly, or FireHydrant often provide a better UX at a lower cost” DeepSeek V4 Flash · Incidents · negative prompt · alternative
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.
“potentially fine products, but be cautious if you're sensitive to ownership changes, product consolidation, or roadmap uncertainty” GPT-5.4 mini · Incidents · negative prompt · soft negative
“Serious data‑deletion concerns: customers couldn’t get their data actually removed after cancellation” GLM 4.7 FlashX · AIOps · negative prompt · soft negative
“FireHydrant was acquired by Freshworks... acquisitions often trigger shifts in pricing” Gemini 3.5 Flash · Incidents · 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 41 of the 51 answers that named FireHydrant and are not a share of its labels.
164 of the 164 domain citations in answers naming FireHydrant 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 | 19 | 1 | 2026-07-01 | ||
| Template or tool | 9 | 0 | 2022-02-14 | ||
| Case study | 8 | undated | |||
| Conference or event | 4 | 0 | 2025-09-18 | ||
| Glossary or explainer | 1 | undated |
Every page firehydrant.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 FireHydrant's own pages state, read September 28, 2026: firehydrant.com, trust.firehydrant.com. 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 FireHydrant'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 FireHydrant, 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 FireHydrant by email, built from the raw record of the edition. It shows: