Small business▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 4% in September 2026
Inside the floor by 7 pointsRank 5 → 14 of 72
2 categories · Named, not rankedOliv
18Judge labels
1First choices
1Negative labels
8 / 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.
Standing
5 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Oliv was named 5 times in Revenue intel and 1 other category, where Clari Copilot led with 28%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business17 of 75
0%9 labels
under the label threshold
Mid-market11 of 76
2%4 labels
under the label threshold
Enterprise59 of 73
0%2 labels
under the label threshold
In revenue 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 Oliv 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 |
|---|---|---|---|---|---|---|---|
| Revenue intelligence and forecasting | Sales | 2% | 11 of 76 | 0% | 4 | under 10 labels · led by Clari Copilot at 28% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer success platforms | Customer | 0% | 24 of 49 | 0% | 1 | under 10 labels · led by ChurnZero at 42% | =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, Oliv held within the floor in all two categories: no change cleared 11 points.
Best category · Revenue intel · by segment
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 18 → 10 of 68
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 17 → 51 of 66
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Revenue intel | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 18 → 11 of 76 |
| Customer success | 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 14 → 24 of 49 |
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 Oliv 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 Oliv 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 | 1 | 0 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 3 | 0 | 0 | 3 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
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
Direct2 labelsNone
Paraphrase1 labelNone
Comparative2 labels1not counted in share
Budget-constrained4 labels1
Scale-constrained6 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative18 labels in all, every segment counted; 1 of the 2 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.
“Avoma or Oliv AI offer transparent pricing starting around $19-29/month” Claude Haiku 4.5 · Revenue intel · budget prompt · first choice
“Strong options if your organization is leaning heavily into cutting-edge, AI-native platforms.” Gemini 3.5 Flash · Customer success · scale prompt · alternative
“Heavily praised for agentic automation... implements in 1–2 weeks.” Gemini 3.5 Flash · Revenue intel · scale prompt · alternative
“Oliv AI advertises from $19/user/mo public pricing” Muse Glimmer 30B · 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 Oliv, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Oliv was named but was not.ShowHide
Named alongside
The products named in the same answers as Oliv, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Oliv 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 Oliv. 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 18 of the 18 answers that named Oliv and are not a share of its labels.
Domains cited
oliv.aiYour site16
salesmotion.io11
zapier.com11
forecastio.ai6
getmaxiq.com6
avoma.com5
blog.hubspot.com5
demandbase.com5
marketbetter.ai5
optif.ai5
Fifty-nine of the seventy-five domain citations in answers naming Oliv came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
oliv.ai ranks 9 on Google for the category's searches. In the answers, Oliv takes 2% of first choices and Clari Copilot takes 28%.ShowHide
Search and answers
oliv.ai ranks 9 on Google for the category's searches. In the answers, Oliv takes 2% of first choices and Clari Copilot takes 28%.
ShowHideIn search
Google, US estimatesPosition for “revenue intelligence and forecasting platform”
9
Position for “best revenue intelligence and forecasting platform”
–
not in the top ten
- Searches for its name, Google
- 6,600 a month (“oliv”)
- AI search demand for its name, est.
- 387,989 a month
- Organic visits to its site
- about 1,696 a month
- Searches its site ranks for
- 642 · 15 in the top three
- Sites linking to it
- 754
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
2%
rank 11 of 76 in revenue intel
Segment leader
28%
Clari Copilot
- First choices
- 1 across its categories
- Named in
- 18 answers
- Its own site cited
- in 18 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 oliv.ai
302
subdomains included
Content
214
counted in the table below
Documentation
30
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 178 | undated | CRM, Sales engagement | ||
| Comparison | 25 | undated | |||
| Webinar or virtual event | 5 | undated | |||
| Case study | 4 | undated | |||
| Template or tool | 1 | undated | |||
| Glossary or explainer | 1 | undated |
How it is countedHide how it is counted
Every page oliv.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. Of its titles that name a category, most name CRM (10); 2 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.
Names read as Oliv
What the judge wrote, as written, with how often. The vendor table decides that these count as Oliv; a claim can dispute any of them.
Oliv AI 5
Follow Oliv
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
Oliv is its own company.ShowHide
The company
Oliv is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI agents for Revenue Teams
- For
- Revenue teams
- Price stated
- $19/ user / month; $29/ user / month; $39/ user / month; $59/ user / month; $80/ user / month; $110/ user / month; $150/ user / month oliv.ai
- Starting price
- $19/ user / month oliv.ai
- Free plan or trial
- Try in Sandbox oliv.ai
- Integrations claimed
- 100 oliv.ai/pricing
- Certifications
- ISO 27001 v2022SOC 2HIPAAGDPRCPRA (formerly CCPA)
- Not stated on the pages read
- Hosting, customers
What Oliv's own pages state, read September 28, 2026: oliv.ai, oliv.ai/pricing, trust.oliv.ai, oliv.ai/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 Oliv'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 Oliv, 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 Oliv by email, built from the raw record of the edition. It shows:
- where Oliv 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 Oliv, 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.