| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Customer support and helpdesk | Customer | 27% | 2 of 55 | 15% | 74 | accepted challenger | ▼−18Since September 2026: 44% → 26%, −18 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| Knowledge base and self-service | Customer | 14% | 3 of 88 | 4% | 23 | accepted challenger | =heldSince September 2026: 12% → 12%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Chatbots and conversational AI for support | Customer | 4% | 6 of 114 | 0% | 18 | accepted challenger | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer success platforms | Customer | 0% | 47 of 49 | 50% | 4 | under 10 labels · led by ChurnZero at 42% | newNew since September 2026: not ranked then, 0% now. |
| In-app messaging and customer communications | Customer | 0% | 31 of 105 | 0% | 3 | under 10 labels · led by Intercom at 21% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Contact center platforms | Customer | 0% | 28 of 86 | 0% | 2 | under 10 labels · led by Five9 at 18% | |
| Conversational marketing platforms | Marketing | 0% | 35 of 87 | 0% | 2 | under 10 labels · led by Tidio at 13% | |
| Call tracking platforms | Marketing | 0% | 37 of 63 | 0% | 1 | under 10 labels · led by CallRail at 43% | |
| Contact center quality assurance | Customer | 0% | 41 of 81 | 0% | 1 | under 10 labels · led by EvaluAgent at 28% | |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 58 of 142 | 0% | 1 | under 10 labels · led by Amplitude at 18% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Helpdesk | 44% | 26% | ▼−18Since September 2026: 44% → 26%, −18 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 1 → 2 of 55 |
| Support chatbots | 2% | 4% | ▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 7 → 6 of 114 |
| Knowledge base | 12% | 12% | =heldSince September 2026: 12% → 12%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 of 88, unchanged |
| Customer success | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 47 of 49, unchanged |
| In-app messaging | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 50 → 31 of 105 |
| Contact center | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 28 of 86, unchanged |
| Conversational mktg | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 35 of 87, unchanged |
| Call tracking | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 37 of 63, unchanged |
| Contact center QA | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 41 of 81, unchanged |
| Customer intel | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 98 → 58 of 142 |
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 | 2 | 4 | 1 | 1 | 8 |
| GPT-5.4 mini | 2 | 5 | 2 | 1 | 10 |
| Gemini 3.5 Flash | 0 | 4 | 0 | 1 | 5 |
| Perplexity Sonar | 2 | 6 | 0 | 1 | 9 |
| Grok 4.1 Fast | 3 | 3 | 3 | 2 | 11 |
| Mistral Small | 1 | 4 | 2 | 1 | 8 |
| DeepSeek V4 Flash | 3 | 5 | 1 | 1 | 10 |
| Llama 4 Maverick | 1 | 6 | 2 | 0 | 9 |
| Qwen 3.7 Flash | 1 | 7 | 2 | 1 | 11 |
| Kimi K2 | 3 | 6 | 3 | 1 | 13 |
| GLM 4.7 FlashX | 3 | 4 | 2 | 1 | 10 |
| MiniMax M2.5 | 1 | 3 | 4 | 1 | 9 |
| GPT-6 Luna | 0 | 5 | 0 | 1 | 6 |
| Muse Glimmer 30B | 5 | 3 | 1 | 1 | 10 |
Verbatim evidence the judge attached to positive labels.
“Freshdesk offers the most accessible entry point with a genuinely useful free tier for up to 10 agents and competitive Growth pricing at $15/agent/month.” Muse Glimmer 30B · Helpdesk · budget prompt · first choice
“The best customer support and helpdesk platform for a company with a limited budget is Freshdesk, Zoho Desk, or HelpDesk.” Llama 4 Maverick · Helpdesk · budget prompt · first choice
“Best value / fastest time-to-value: Freshdesk Freshdesk is repeatedly called out as the mid-market value play.” Muse Glimmer 30B · Helpdesk · direct prompt · first choice
“For most mid-market B2B companies, Freshdesk offers the best balance of capability, cost, and ease of use.” DeepSeek V4 Flash · Helpdesk · direct 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.
“Freshdesk (poor support, technical instability, billing surprises)” DeepSeek V4 Flash · Helpdesk · negative prompt · hard negative
“avoid using support-focused tools for customer success” Mistral Small · Customer success · negative prompt · hard negative
“Why be cautious: Recurrent complaints about authorization / email routing issues, limited documented PII redaction / data residency options on lower tiers” Muse Glimmer 30B · Helpdesk · negative prompt · soft negative
“Several negative reviews cite: Poor customer support response times... However, it's important to note that Freshdesk is still used by many businesses” MiniMax M2.5 · Helpdesk · 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 283 of the 303 answers that named Freshdesk and are not a share of its labels.
791 of the 894 domain citations in answers naming Freshdesk 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.
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.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
What Freshdesk's own pages state, read September 28, 2026: freshworks.com, freshworks.com/pricing, trust.freshworks.com, freshworks.com/products, freshworks.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 Freshdesk'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 Freshdesk, 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 Freshdesk by email, built from the raw record of the edition. It shows:
Freshdesk is among the products AI models recommend first in Customer support and helpdesk 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.
Freshdesk is among the products AI models recommend first in Knowledge base and self-service 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.