| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| IT service management | IT operations and endpoint | 58% | 1 of 69 | 2% | 66 | endorsed leader | =heldSince September 2026: 58% → 58%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| IT asset management | IT operations and endpoint | 31% | 1 of 82 | 8% | 50 | endorsed leader | ▲+13Since September 2026: 18% → 31%, +13 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| Incident management and on-call | IT operations and endpoint | 10% | 3 of 65 | 6% | 17 | accepted challenger | ▲+10Since September 2026: 0% → 10%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AI IT support agents | IT operations and endpoint | 9% | 2 of 121 | 0% | 17 | accepted challenger | |
| IT documentation | IT operations and endpoint | 8% | 6 of 92 | 0% | 9 | under 10 labels · led by Hudu at 17% | |
| AIOps platforms | IT operations and endpoint | 2% | 15 of 93 | 0% | 6 | under 10 labels · led by New Relic at 17% | |
| IT financial management | IT operations and endpoint | 2% | 22 of 159 | 0% | 2 | under 10 labels · led by Nicus ITFM Platform at 9% | |
| Digital employee experience | IT operations and endpoint | 0% | 81 of 219 | 0% | 1 | under 10 labels · led by ControlUp at 13% | |
| GRC platforms | Security operations | 0% | 59 of 75 | 100% | 1 | under 10 labels · led by Hyperproof at 19% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| ITAM | 18% | 31% | ▲+13Since September 2026: 18% → 31%, +13 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 3 → 1 of 82 |
| AI IT agents | 0% | 11% | newNew since September 2026: not ranked then, 11% now. | New this edition | Rank 2 of 121, unchanged |
| Incidents | 0% | 10% | ▲+10Since September 2026: 0% → 10%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 15 → 3 of 65 |
| IT documentation | 0% | 9% | newNew since September 2026: not ranked then, 9% now. | New this edition | Rank 6 of 92, unchanged |
| AIOps | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 15 of 93, unchanged |
| IT financial mgmt | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 22 of 159, unchanged |
| ITSM | 58% | 58% | =heldSince September 2026: 58% → 58%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 69, unchanged |
| DEX | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 81 of 219, unchanged |
| GRC | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 59 of 75, 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 | 5 | 6 | 0 | 2 | 13 |
| GPT-5.4 mini | 3 | 2 | 2 | 0 | 7 |
| Gemini 3.5 Flash | 6 | 7 | 1 | 1 | 15 |
| Perplexity Sonar | 5 | 3 | 4 | 0 | 12 |
| Grok 4.20 | 5 | 7 | 2 | 1 | 15 |
| Mistral Small | 5 | 2 | 2 | 1 | 10 |
| DeepSeek V4 Flash | 5 | 8 | 3 | 0 | 16 |
| Llama 4 Maverick | 2 | 1 | 3 | 0 | 6 |
| Qwen 3.7 Flash | 7 | 6 | 2 | 0 | 15 |
| Kimi K2 | 7 | 4 | 2 | 0 | 13 |
| GLM 4.7 FlashX | 4 | 6 | 1 | 0 | 11 |
| MiniMax M2.5 | 5 | 5 | 1 | 0 | 11 |
| GPT-6 Luna | 3 | 5 | 1 | 0 | 9 |
| Muse Glimmer 30B | 4 | 6 | 4 | 2 | 16 |
Verbatim evidence the judge attached to positive labels.
“Freshservice (Best All-Rounder) ... often the go-to recommendation for SMBs ... Start with Freshservice if you want the least amount of headache” Qwen 3.7 Flash · ITSM · budget prompt · first choice
“Highly intuitive UI, exceptionally fast implementation, and excellent out-of-the-box AI features. Highly recommended for mid-market teams.” Gemini 3.5 Flash · ITSM · scale prompt · first choice
“Extremely popular for the mid-market. It is fast to set up, highly intuitive, and bundles hardware, software, and ticketing beautifully.” Gemini 3.5 Flash · ITAM · scale prompt · first choice
“I'd recommend Freshservice as the best default choice if your priority is a modern IT service desk that is easy to adopt and manage.” Perplexity Sonar · ITSM · paraphrase 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.
“can outgrow the platform's configuration flexibility, and some customers report needing workarounds for highly custom approval chains” Claude Haiku 4.5 · ITSM · negative prompt · soft negative
““regulated organisations using ServiceNow, HaloITSM, and Freshservice. Ownership is unclear, evidence stays fragmented”” Muse Glimmer 30B · GRC · negative prompt · soft negative
“may not be ideal for organizations requiring deep configuration management or those with very complex IT environments” Mistral Small · ITAM · negative prompt · soft negative
“Very slow to deploy, highly complex, and intensely disliked by most modern software engineering/DevOps teams” Gemini 3.5 Flash · Incidents · comparative 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 381 of the 407 answers that named Freshservice and are not a share of its labels.
832 of the 959 domain citations in answers naming Freshservice 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 |
|---|---|---|---|---|---|
| Case study | 258 | 54 | 2026-09-24 | ||
| Conference or event | 165 | 7 | 2026-09-24 | ITSM | |
| News or press | 162 | 18 | 2026-09-24 | ITSM, ITAM | |
| Comparison | 107 | 4 | 2026-09-24 | ITSM | |
| Webinar or virtual event | 64 | 1 | 2026-07-30 | ITSM, ITAM | |
| Blog | 63 | 5 | 2026-09-24 | ITSM | |
| Report or ebook | 30 | 3 | 2026-09-24 | ITSM | |
| Glossary or explainer | 23 | 2 | 2026-09-24 | ||
| Template or tool | 18 | 0 | 2026-01-07 | ||
| Podcast or video | 3 | 1 | 2026-09-24 |
As the event pages on freshworks.com state them, read September 28, 2026.
Every page freshworks.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.
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 Freshservice'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 Freshservice, 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 Freshservice by email, built from the raw record of the edition. It shows:
Every AI model in the set recommends Freshservice first in IT service management 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.
AI models recommend Freshservice first in IT asset management 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.
Freshservice is among the products AI models recommend first in Incident management and on-call 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.
Freshservice is among the products AI models recommend first in AI IT support agents 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.