Small business=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 9 → 15 of 63
3 categories · Rankedtl;dv
43Judge labels
3First choices
2Negative labels
12 / 14Models named it
3Categories
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
0% in Conversation intel for small business buyers
Rank 6 of 91 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 5 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business14 of 66
0%11 labels
accepted challenger
Mid-market6 of 91
4%5 labels
under the label threshold
Enterprise92 of 96
0%1 label
under the label threshold
In conversation intel · 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 tl;dv 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 |
|---|---|---|---|---|---|---|---|
| Conversational intelligence and call recording | Sales | 4% | 6 of 91 | 0% | 5 | under 10 labels · led by Avoma at 41% | ▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Revenue intelligence and forecasting | Sales | 0% | 24 of 76 | 0% | 6 | under 10 labels · led by Clari Copilot at 28% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Sales coaching and training | Sales | 0% | 93 of 124 | 0% | 1 | under 10 labels · led by MindTickle at 24% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, tl;dv held within the floor in all three categories: no change cleared 11 points.
Best category · Conversation intel · by segment
Mid-market▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
5%from 0% in September 2026
Inside the floor by 6 pointsRank 17 → 6 of 87
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 84 → 88 of 91
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Conversation intel | 0% | 5% | ▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 17 → 6 of 91 |
| Revenue 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 20 → 24 of 76 |
| Sales coaching | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 93 of 124, 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 tl;dv 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 tl;dv 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 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 1 | 1 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 3 | 0 | 0 | 4 |
| Kimi K2 | 0 | 2 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Direct4 labelsNone
Paraphrase0 labelsNone
Comparative9 labels1not counted in share
Budget-constrained16 labels3
Scale-constrained5 labelsNone
Negative9 labelsNone
First choiceAlternativeMentionNegative43 labels in all, every segment counted; 3 of the 4 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.
“Top Pick for Zero Budget (Best Free Tier) Tool: tl;dv This is widely considered the best value option for startups and small teams” Qwen 3.7 Flash · Conversation intel · budget prompt · first choice
“the strongest value picks are usually Fireflies.ai or tl;dv” Perplexity Sonar · Conversation intel · budget prompt · first choice
“Most Affordable Entry Point ... Perfect for teams primarily needing call coaching and meeting analysis” Kimi K2 · Revenue intel · budget prompt · alternative
“lower-cost tools, but the results describe them as more limited than Sybill in scope” Perplexity Sonar · Revenue intel · budget prompt · alternative
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.
No model argued against it.
Named alongside
The products named in the same answers as tl;dv, over the 43 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and tl;dv was named but was not.ShowHide
Named alongside
The products named in the same answers as tl;dv, over the 43 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and tl;dv 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 tl;dv. 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 42 of the 43 answers that named tl;dv and are not a share of its labels.
Domains cited
avoma.com19
g2.com17
pipeline.zoominfo.com17
tldv.ioYour site17
optif.ai16
cirrusinsight.com14
demandbase.com14
learn.g2.com14
salesmotion.io13
sybill.ai13
137 of the 154 domain citations in answers naming tl;dv came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
tldv.io is not in Google's top ten for any of the category's searches. In the answers, tl;dv takes 4% of first choices and Avoma takes 41%.ShowHide
Search and answers
tldv.io is not in Google's top ten for any of the category's searches. In the answers, tl;dv takes 4% of first choices and Avoma takes 41%.
ShowHideIn search
Google, US estimatesPosition for “conversation intelligence and call recording platform”
–
not in the top ten
Position for “best conversation intelligence and call recording platform”
–
not in the top ten
- Searches for its name, Google
- not counted (“tl;dv”)
- AI search demand for its name, est.
- 52 a month
- Organic visits to its site
- about 36,296 a month
- Searches its site ranks for
- 6,584 · 157 in the top three
- Sites linking to it
- 5,770
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
4%
rank 6 of 91 in conversation intel
Segment leader
41%
Avoma
- First choices
- 3 across its categories
- Named in
- 43 answers
- Its own site cited
- in 42 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 tldv.io
10,302
subdomains included
Content
1,529
counted in the table below
Documentation
0
Product · Integration
12 · 2
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1,257 | 20 | 2026-09-21 | ||
| Comparison | 232 | 17 | 2026-09-20 | ||
| Glossary or explainer | 25 | 12 | 2026-09-15 | ||
| Case study | 6 | 4 | 2026-09-15 | ||
| Template or tool | 6 | 0 | 2022-12-16 | ||
| Webinar or virtual event | 2 | 0 | 2021-10-16 | ||
| News or press | 1 | 0 | 2022-09-07 |
Most recent
- 2026-09-21Second interview questions blog
- 2026-09-20Meetrox alternatives comparison
- 2026-09-20Meetrox alternatives comparison
- 2026-09-18Meddpicc sales methodology blog
- 2026-09-17Fathom vs grain comparison
- 2026-09-17Fathom vs otter comparison
How it is countedHide how it is counted
Every page tldv.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.
Names read as tl;dv
What the judge wrote, as written, with how often. The vendor table decides that these count as tl;dv; a claim can dispute any of them.
Grain / tl;dv 1Tl;dv 1
Follow tl;dv
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.
The company
tl;dv.ShowHide
The company
tl;dv.
ShowHideOn record
Wikidata- Website
- tldv.io
- Headquarters
- Aachen, Germany
- Founded
- 2021
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
In its own words
Stated by the vendor, not checked- Positioning
- AI Meeting Notetaker for Zoom, Google Meet & Teams
- For
- sales, customer success, and internal meetings
- Price stated
- Free Forever plan tldv.io
- Starting price
- 0 tldv.io
- Free plan or trial
- Free Forever plan tldv.io
- Integrations claimed
- 6000 tldv.io
- Certifications
- GDPRSOC2ISO 27001EU US Privacy ShieldEU AI Act
- Hosting
- EUUS
- Customers named
- Zapier
What tl;dv's own pages state, read September 28, 2026: tldv.io, trust.tldv.io, tldv.io/teams/product, tldv.io/integrations. A claimed page can correct any of them.
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 tl;dv'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 tl;dv, 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 tl;dv by email, built from the raw record of the edition. It shows:
- where tl;dv 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 tl;dv, 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.