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 41 → 48 of 63
Salesloft · 2 categories · RankedSalesloft Conversations
57Judge labels
0First choices
5Negative labels
13 / 14Models named it
2Categories
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 mid-market buyers
Rank 12 of 91 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 14 labels there were negative.
What the models named instead of Salesloft Conversations →By buyer segmentRead the same way at every buyer size.
Small business50 of 66
0%3 labels
under the label threshold
Mid-market12 of 91
0%14 labels
accepted challenger
Enterprise17 of 96
0%16 labels
accepted challenger
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 Salesloft Conversations 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 | 0% | 12 of 91 | 0% | 14 | accepted challenger | =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% | 22 of 124 | 0% | 8 | under 10 labels · led by MindTickle at 24% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Salesloft Conversations held within the floor in all two categories: no change cleared 11 points.
Best category · Conversation intel · by segment
Mid-market=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 → 13 of 87
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 6 → 16 of 91
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Conversation 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 9 → 12 of 91 |
| Sales coaching | 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 24 → 22 of 124 |
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 Salesloft Conversations 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 Salesloft Conversations 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 | 2 | 0 | 2 |
| GPT-5.4 mini | 0 | 2 | 1 | 0 | 3 |
| Gemini 3.5 Flash | 0 | 3 | 2 | 0 | 5 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 2 | 1 | 0 | 3 |
| GPT-6 Luna | 0 | 2 | 1 | 0 | 3 |
| 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
Direct11 labelsNone
Paraphrase6 labelsNone
Comparative26 labelsNone
Budget-constrained4 labelsNone
Scale-constrained7 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative57 labels in all, every segment counted; 0 of the 0 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.
“Choose this if you already use one of these platforms extensively and want to avoid paying for another SaaS subscription.” Qwen 3.7 Flash · Conversation intel · paraphrase prompt · alternative
“Salesloft merged with Clari, these tools allow you to seamlessly tie training to real-time call tracking and deal rooms.” Gemini 3.5 Flash · Sales coaching · scale prompt · alternative
“If your B2B team is already using one of these Sales Engagement Platforms ... use their built-in CI tools.” Gemini 3.5 Flash · Conversation intel · paraphrase prompt · alternative
“Most compelling when you want the intelligence built into your existing sales-engagement system.” GPT-6 Luna · Conversation intel · comparative 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 Salesloft Conversations, over the 57 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesloft Conversations was named but was not.ShowHide
Named alongside
The products named in the same answers as Salesloft Conversations, over the 57 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Salesloft Conversations 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 Salesloft Conversations. 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 52 of the 57 answers that named Salesloft Conversations and are not a share of its labels.
Domains cited
cirrusinsight.com18
g2.com18
pipeline.zoominfo.com18
blog.hubspot.com17
cloudtalk.io15
learn.g2.com15
salesloft.comYour site15
gong.io13
mindtickle.com13
revenue.io12
139 of the 154 domain citations in answers naming Salesloft Conversations came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
salesloft.com ranks first on Google for the category's searches. In the answers, Salesloft Conversations takes 0% of first choices and Avoma takes 41%.ShowHide
Search and answers
salesloft.com ranks first on Google for the category's searches. In the answers, Salesloft Conversations takes 0% of first choices and Avoma takes 41%.
ShowHideIn search
Google, US estimatesPosition for “conversation intelligence and call recording platform”
1
Position for “best conversation intelligence and call recording platform”
–
not in the top ten
- Searches for its name, Google
- 20 a month (“salesloft conversations”)
- AI search demand for its name, est.
- 2 a month
- Its company's site
- salesloft.com shared with Salesloft's other products; the figures are the site's
- Organic visits to its site
- about 52,058 a month
- Searches its site ranks for
- 5,534 · 539 in the top three
- Sites linking to it
- 10,971
- Paid Google search
- 5 searches its ads show for, about 103 clicks and $4,229 a month (estimate)
In answers
This editionShare of first choices
0%
rank 12 of 91 in conversation intel
Segment leader
41%
Avoma
- First choices
- 0 across its categories
- Named in
- 57 answers
- Its own site cited
- in 52 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.
Names read as Salesloft Conversations
What the judge wrote, as written, with how often. The vendor table decides that these count as Salesloft Conversations; a claim can dispute any of them.
Salesloft 15SalesLoft 2Salesloft (Cadence) 1Salesloft (Conversation Intelligence) 1Salesloft (Conversations) 1Salesloft / Clari Copilot 1Salesloft Conversation Intelligence 1
Follow Salesloft Conversations
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
Salesloft is the company behind Salesloft Conversations.ShowHide
The company
Salesloft is the company behind Salesloft Conversations.
ShowHideOn record
Wikidata- Website
- salesloft.com
- Headquarters
- Atlanta, United States
- Founded
- 2011
- Also from Salesloft
- Drift, Salesloft, Salesloft Dialer, Salesloft Rhythm
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase
In its own words
Stated by the vendor, not checked- Positioning
- Right Where Your Team Sells
- For
- Account Teams; Executive & Revops Teams
- Free plan or trial
- Get Your Free Copy salesloft.com/resources/guides/conversation-intelligence-cookbook
- Certifications
- Gartner Peer Insights™ Customers’ ChoiceG2 Enterprise Sales Engagement LeaderForrester Wave Leader
- Customers named
- MOTOR Information SystemsOpenWebPTCWrike
- Not stated on the pages read
- Price, starting price, integrations, hosting
What Salesloft Conversations's own pages state, read September 28, 2026: salesloft.com/platform/conversation-intelligence-software, salesloft.com/platform/conversations/tour, salesloft.com/company/newsroom/salesloft-acquires-instereo, salesloft.com/resources/guides/conversation-intelligence-101, salesloft.com/resources/guides/conversation-intelligence-cookbook. 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 Salesloft Conversations'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 Salesloft Conversations, 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 Salesloft Conversations by email, built from the raw record of the edition. It shows:
- where Salesloft Conversations 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 Salesloft Conversations, 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.