| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Conversational intelligence and call recording | Sales | 14% | 3 of 91 | 49% | 63 | criticized challenger | ▲+1Since September 2026: 13% → 14%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Revenue intelligence and forecasting | Sales | 12% | 3 of 76 | 35% | 63 | criticized challenger | ▲+3Since September 2026: 9% → 12%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Sales coaching and training | Sales | 6% | 6 of 124 | 30% | 40 | criticized challenger | ▼−3Since September 2026: 10% → 7%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Territory and quota planning | Revenue operations | 2% | 14 of 123 | 0% | 2 | under 10 labels · led by CaptivateIQ Planning at 36% | newNew since September 2026: not ranked then, 2% now. |
| Value selling tools | Sales | 0% | 32 of 116 | 25% | 8 | under 10 labels · led by Minoa at 21% | |
| Contact center quality assurance | Customer | 0% | 76 of 81 | 50% | 2 | under 10 labels · led by EvaluAgent at 28% | |
| Field sales tools | Sales | 0% | 22 of 94 | 0% | 2 | under 10 labels · led by Badger Maps at 38% | |
| Sales gamification | Sales | 0% | 57 of 64 | 50% | 2 | under 10 labels · led by Spinify at 31% | |
| AI SDR agents | Sales | 0% | 71 of 77 | 100% | 1 | under 10 labels · led by Apollo.io at 24% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Call tracking platforms | Marketing | 0% | 26 of 63 | 0% | 1 | under 10 labels · led by CallRail at 43% | |
| Competitive intelligence tools | Marketing | 0% | 62 of 86 | 0% | 1 | under 10 labels · led by Kompyte at 38% | |
| Dashboards and data visualization | GTM data and infrastructure | 0% | 26 of 52 | 0% | 1 | under 10 labels · led by Microsoft Power BI at 52% | newNew since September 2026: not ranked then, 0% now. |
| Market intelligence platforms | GTM data and infrastructure | 0% | 64 of 172 | 0% | 1 | under 10 labels · led by Apollo.io at 17% | |
| Sales intelligence and contact data | Sales | 0% | 33 of 52 | 0% | 1 | under 10 labels · led by Apollo.io at 73% | =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 |
|---|---|---|---|---|---|
| Sales coaching | 10% | 7% | ▼−3Since September 2026: 10% → 7%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 6 of 124 |
| Revenue intel | 9% | 12% | ▲+3Since September 2026: 9% → 12%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 3 of 76 |
| Territory planning | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 14 of 123, unchanged |
| Conversation intel | 13% | 14% | ▲+1Since September 2026: 13% → 14%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 of 91, unchanged |
| Value selling | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 32 of 116, unchanged |
| Contact center QA | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 76 of 81, unchanged |
| Field sales | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 22 of 94, unchanged |
| Sales gamification | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 57 of 64, unchanged |
| AI SDR | 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 61 → 71 of 77 |
| Call tracking | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 26 of 63, unchanged |
| Competitive intel | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 62 of 86, unchanged |
| BI & dashboards | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 26 of 52, unchanged |
| Market intelligence | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 64 of 172, unchanged |
| Sales 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 16 → 33 of 52 |
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 | 2 | 2 | 4 | 10 |
| GPT-5.4 mini | 3 | 4 | 1 | 2 | 10 |
| Gemini 3.5 Flash | 6 | 3 | 1 | 6 | 16 |
| Perplexity Sonar | 3 | 1 | 1 | 6 | 11 |
| Grok 4.1 Fast | 4 | 4 | 1 | 8 | 17 |
| Mistral Small | 4 | 3 | 2 | 5 | 14 |
| DeepSeek V4 Flash | 4 | 3 | 0 | 6 | 13 |
| Llama 4 Maverick | 0 | 1 | 7 | 0 | 8 |
| Qwen 3.7 Flash | 5 | 5 | 5 | 5 | 20 |
| Kimi K2 | 5 | 4 | 1 | 8 | 18 |
| GLM 4.7 FlashX | 3 | 3 | 2 | 5 | 13 |
| MiniMax M2.5 | 6 | 1 | 4 | 5 | 16 |
| GPT-6 Luna | 3 | 3 | 2 | 3 | 11 |
| Muse Glimmer 30B | 2 | 0 | 2 | 7 | 11 |
Verbatim evidence the judge attached to positive labels.
“1. Gong 🏆 ... Differentiator: The deepest after-the-call analytics on the market with behavioral benchmarking and revenue intelligence. Named a Leader in Gartner's 2025 Magic Quadrant.” Kimi K2 · Sales coaching · comparative prompt · first choice
“Gong pioneered the category by automatically recording and transcribing sales calls... Best For: Organizations prioritizing deep qualitative analysis of sales conversations and rep coaching.” Qwen 3.7 Flash · Revenue intel · comparative prompt · first choice
“Gong is widely considered the market leader in Revenue Intelligence... If you have the budget ($1k-$1.5k/user/month) and want rigorous sales optimization, this is the one.” Qwen 3.7 Flash · Conversation intel · paraphrase prompt · first choice
“The market-leading conversation intelligence platform focused on revenue analytics... For large sales teams needing deep revenue intelligence: Gong or Clari Copilot.” GLM 4.7 FlashX · Conversation intel · 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.
“you should immediately bypass enterprise-level conversation intelligence (CI) giants like Gong and Chorus by ZoomInfo” Gemini 3.5 Flash · Conversation intel · budget prompt · hard negative
“Avoid Gong if your team is under 15\u201320 reps or if you lack a dedicated Revenue Operations (RevOps) professional” Gemini 3.5 Flash · Revenue intel · negative prompt · hard negative
“What to Avoid (Too Expensive for Limited Budgets) ... Enterprise-focused with mandatory platform fees” Kimi K2 · Revenue intel · budget prompt · hard negative
“Gong.io — The Most Expensive and Complicated Option ... Pricing transparency issues (major red flag)” DeepSeek V4 Flash · Conversation intel · negative prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 534 of the 578 answers that named Gong and are not a share of its labels.
1,418 of the 1,418 domain citations in answers naming Gong 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 | 638 | 12 | 2026-09-17 | ||
| Glossary or explainer | 500 | 0 | 2023-10-27 | ||
| Report or ebook | 173 | undated | |||
| News or press | 153 | 1 | 2026-07-01 | ||
| Case study | 138 | 0 | 2018-08-16 | ||
| Webinar or virtual event | 98 | 9 | 2026-10-22 | ||
| Template or tool | 38 | undated | |||
| Conference or event | 11 | 0 | 2026-02-13 | ||
| Comparison | 7 | 1 | 2026-08-05 | ||
| Podcast or video | 1 | 0 | 2019-11-13 |
Every page gong.io 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.
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
What Gong's own pages state, read September 28, 2026: gong.io, gong.io/pricing, trust.gong.io, gong.io/platform, gong.io/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 Gong'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 Gong, 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 Gong by email, built from the raw record of the edition. It shows:
Gong is among the products AI models recommend first in Conversational intelligence and call recording 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.
Gong is among the products AI models recommend first in Revenue intelligence and forecasting 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.