| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| CRM data quality and deduplication | Revenue operations | 43% | 1 of 99 | 9% | 47 | endorsed leader | ▲+10Since September 2026: 34% → 44%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Identity resolution | GTM data and infrastructure | 2% | 27 of 140 | 0% | 1 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | newNew since September 2026: not ranked then, 2% now. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CRM data quality | 34% | 44% | ▲+10Since September 2026: 34% → 44%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 99, unchanged |
| Identity | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 27 of 140, 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 | 1 | 0 | 3 |
| GPT-5.4 mini | 3 | 0 | 0 | 0 | 3 |
| Gemini 3.5 Flash | 4 | 1 | 0 | 0 | 5 |
| Perplexity Sonar | 1 | 0 | 0 | 0 | 1 |
| Grok 4.20 | 2 | 1 | 0 | 1 | 4 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 2 | 1 | 1 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 0 | 1 | 1 | 3 |
| Kimi K2 | 5 | 0 | 0 | 0 | 5 |
| GLM 4.7 FlashX | 2 | 1 | 1 | 0 | 4 |
| MiniMax M2.5 | 0 | 3 | 1 | 0 | 4 |
| GPT-6 Luna | 4 | 1 | 0 | 0 | 5 |
| Muse Glimmer 30B | 1 | 2 | 0 | 1 | 4 |
Verbatim evidence the judge attached to positive labels.
“A broad CRM-maintenance layer: deduplication, bulk cleanup and standardization... Useful when you want repeatable data operations across more than one CRM.” GPT-6 Luna · CRM data quality · comparative prompt · first choice
“Most accessible and affordable option; works across multiple CRMs... Insycle offers the most capability per dollar” Kimi K2 · CRM data quality · comparative prompt · first choice
“look at cloud-native, user-friendly tools like Cloudingo, Insycle, or DataGroomr” Gemini 3.5 Flash · CRM data quality · negative prompt · first choice
“HubSpot, Salesforce or Pipedrive and need scheduled bulk fixes inside CRM: Insycle.” Muse Glimmer 30B · CRM data quality · 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.
“Don't buy Insycle (~$100/mo) ... unless you have large Salesforce databases” DeepSeek V4 Flash · CRM data quality · budget prompt · hard negative
“tools like Insycle, Zapier, and Clearbit solve parts of the problem but demand heavy upkeep” Muse Glimmer 30B · CRM data quality · negative prompt · soft negative
“High cost relative to feature set ... Inconsistent accuracy reported by multiple users” Qwen 3.7 Flash · CRM data quality · negative prompt · soft negative
“Great all-in-one (dedupe + standardization), but pricier (~$200+/mo)” Grok 4.20 · CRM data quality · budget 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 123 of the 125 answers that named Insycle and are not a share of its labels.
476 of the 519 domain citations in answers naming Insycle 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 | 173 | 2 | 2026-09-04 | CRM, ABM | |
| Webinar or virtual event | 11 | 10 | 2026-09-02 | CRM | |
| Case study | 10 | 0 | 2025-04-24 | CRM, ABM | |
| Comparison | 9 | undated | CRM | ||
| Template or tool | 3 | 1 | 2026-09-03 | CRM | |
| Report or ebook | 1 | undated | |||
| Glossary or explainer | 1 | undated |
Every page insycle.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. Of its titles that name a category, most name CRM (43); 0 name its categories the models place it in. 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 Insycle's own pages state, read September 28, 2026: insycle.com, insycle.com/pricing, insycle.com/security, insycle.com/platform-overview, insycle.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 Insycle'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 Insycle, 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 Insycle by email, built from the raw record of the edition. It shows:
AI models recommend Insycle first in CRM data quality and deduplication 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.