Small business▼−1Since September 2026: 13% → 12%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
12%from 13% in September 2026
Inside the floor by 10 pointsRank 2 of 123, unchanged
6 categories · RankedFathom
180Judge labels
31First choices
19Negative labels
14 / 14Models named it
6Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
29% in Conversation intel for small business buyers
Rank 4 of 124 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 9 labels there were negative.
What the models named instead of Fathom →By buyer segmentRead the same way at every buyer size.
Small business3 of 128
11%23 labels
accepted challenger
Mid-market4 of 124
7%9 labels
under the label threshold
Enterprise78 of 83
0%4 labels
under the label threshold
In sales coaching · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Fathom for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Sales coaching and training | Sales | 7% | 4 of 124 | 0% | 9 | under 10 labels · led by MindTickle at 24% | ▲+5Since September 2026: 4% → 9%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Conversational intelligence and call recording | Sales | 6% | 5 of 91 | 11% | 27 | accepted challenger | ▼−8Since September 2026: 15% → 7%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Web analytics | GTM data and infrastructure | 0% | 16 of 91 | 11% | 19 | accepted challenger | |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 56 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. |
| Product analytics | GTM data and infrastructure | 0% | 27 of 40 | 0% | 1 | under 10 labels · led by Amplitude Analytics at 34% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Revenue intelligence and forecasting | Sales | 0% | 39 of 76 | 0% | 1 | under 10 labels · led by Clari Copilot at 28% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Fathom held within the floor in all six categories: no change cleared 11 points.
Best category · Sales coaching · by segment
Mid-market▲+5Since September 2026: 4% → 9%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
9%from 4% in September 2026
Inside the floor by 6 pointsRank 9 → 3 of 118
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 57 → 68 of 80
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Conversation intel | 15% | 7% | ▼−8Since September 2026: 15% → 7%, −8 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 5 of 91 |
| Sales coaching | 4% | 9% | ▲+5Since September 2026: 4% → 9%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 9 → 4 of 124 |
| Web analytics | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 16 of 91, 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 39 → 56 of 142 |
| Product analytics | 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 12 → 27 of 40 |
| Revenue intel | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 39 of 76, 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
By model
How each model treated Fathom across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Fathom across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 4 | 2 | 0 | 6 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 1 | 4 | 2 | 1 | 8 |
| Perplexity Sonar | 1 | 4 | 0 | 1 | 6 |
| Grok 4.1 Fast | 0 | 2 | 2 | 0 | 4 |
| Mistral Small | 2 | 0 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 3 | 4 | 1 | 8 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 3 | 1 | 1 | 5 |
| Kimi K2 | 1 | 4 | 2 | 0 | 7 |
| GLM 4.7 FlashX | 2 | 0 | 1 | 1 | 4 |
| MiniMax M2.5 | 2 | 1 | 0 | 0 | 3 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct25 labels5
Paraphrase14 labels6
Comparative30 labels8not counted in share
Budget-constrained46 labels16
Scale-constrained19 labels4
Negative46 labels12not counted in share
First choiceAlternativeMentionNegative180 labels in all, every segment counted; 31 of the 51 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“I'd recommend starting with Fathom (free) or Avoma ($19/user/month) as they offer the best value for money” MiniMax M2.5 · Sales coaching · budget prompt · first choice
“Budget pick: Fathom ($19/user/month) — covers ~80% of Gong’s post-call insights at a fraction of the cost” GLM 4.7 FlashX · Sales coaching · budget prompt · first choice
“Fathom is widely considered the gold standard for teams seeking maximum value with minimal or zero spend.” Gemini 3.5 Flash · Conversation intel · budget prompt · first choice
“### 1. Fathom - Best Free Option ... want to start completely free with no usage limits.” GLM 4.7 FlashX · Conversation intel · budget prompt · first choice
And against it
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.
“not a replacement for CI platforms because it lacks the deal-risk layer, coaching workflow, and forecasting use case” Perplexity Sonar · Conversation intel · negative prompt · hard negative
“users report frequent issues with "hallucinated" insights where the AI summarizes a call incorrectly” Qwen 3.7 Flash · Conversation intel · negative prompt · soft negative
“Unlike basic privacy trackers (like Fathom or Plausible, which are too simple for mid-market needs)” Gemini 3.5 Flash · Web analytics · paraphrase prompt · soft negative
“Claim to be privacy-first, but labels are not regulated” GLM 4.7 FlashX · Web analytics · negative prompt · soft negative
Named alongside
The products named in the same answers as Fathom, over the 180 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Fathom was named but was not.ShowHide
Named alongside
The products named in the same answers as Fathom, over the 180 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Fathom was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Fathom. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 174 of the 180 answers that named Fathom and are not a share of its labels.
Domains cited
cirrusinsight.com73
g2.com59
avoma.com51
learn.g2.com51
cloudtalk.io50
pipeline.zoominfo.com46
guideflow.com36
spotsaas.com31
itsconvo.com30
marketintelligencetools.com28
455 of the 455 domain citations in answers naming Fathom came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
fathom.ai is not in Google's top ten for any of the category's searches. In the answers, Fathom takes 7% of first choices and MindTickle takes 24%.ShowHide
Search and answers
fathom.ai is not in Google's top ten for any of the category's searches. In the answers, Fathom takes 7% of first choices and MindTickle takes 24%.
ShowHideIn search
Google, US estimatesPosition for “sales coaching and training platform”
–
not in the top ten
Position for “best sales coaching and training platform”
–
not in the top ten
- Searches for its name, Google
- 90,500 a month (“fathom”)
- AI search demand for its name, est.
- 6,657 a month
- Organic visits to its site
- about 44,771 a month
- Searches its site ranks for
- 366 · 166 in the top three
- Sites linking to it
- 4,848
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
7%
rank 4 of 124 in sales coaching
Segment leader
24%
MindTickle
- First choices
- 31 across its categories
- Named in
- 180 answers
- Its own site cited
- in 174 of the answers that named it
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.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on fathom.ai
113
subdomains included
Content
16
counted in the table below
Documentation
38
Product · Integration
4 · 32
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Comparison | 9 | undated | |||
| Case study | 3 | undated | |||
| Glossary or explainer | 3 | 3 | 2026-09-04 | ||
| Blog | 1 | undated |
Most recent
- 2026-09-04Team productivity software glossary or explainer
- 2026-08-20Meeting minutes glossary or explainer
- 2026-07-17Bot free note taker glossary or explainer
How it is countedHide how it is counted
Every page fathom.ai 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. Read October 5, 2026.
Names read as Fathom
What the judge wrote, as written, with how often. The vendor table decides that these count as Fathom; a claim can dispute any of them.
Fathom Free 1
Follow Fathom
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.
Is this your product?
Claim this page
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 Fathom'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 Fathom, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Fathom by email, built from the raw record of the edition. It shows:
- where Fathom is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Fathom, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.