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 73 → 38 of 117
1 category · Named, not rankedBase
7Judge labels
1First choices
0Negative labels
5 / 14Models named it
1Category
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. Base was named 5 times in Loyalty, where Smile.io led with 26%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business40 of 120
0%1 label
under the label threshold
Mid-market10 of 110
2%5 labels
under the label threshold
Enterprise42 of 104
0%1 label
under the label threshold
In loyalty · 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 Base 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 |
|---|---|---|---|---|---|---|---|
| Loyalty, advocacy and referrals | Marketing | 2% | 10 of 110 | 0% | 5 | under 10 labels · led by Smile.io at 26% | ▲+3Since September 2026: 0% → 3%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Base held within the floor in its one category: no change cleared 11 points.
Best category · Loyalty · by segment
Mid-market▲+3Since September 2026: 0% → 3%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
3%from 0% in September 2026
Inside the floor by 8 pointsRank 22 → 9 of 106
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 15 → 39 of 99
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Loyalty | 0% | 3% | ▲+3Since September 2026: 0% → 3%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 22 → 10 of 110 |
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 Base 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 Base 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 | 0 | 1 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| 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 | 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
Direct0 labelsNone
Paraphrase2 labels1
Comparative5 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative7 labels in all, every segment counted; 1 of the 1 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 Influitive or Base as they're specifically praised for mid-market B2B companies” Claude Haiku 4.5 · Loyalty · paraphrase prompt · first choice
“The leader in revenue-attribution... Best for B2B SaaS companies needing to prove ROI.” Qwen 3.7 Flash · Loyalty · comparative prompt · alternative
“Positions advocacy as a revenue operations workflow” DeepSeek V4 Flash · Loyalty · 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 Base, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Base was named but was not.ShowHide
Named alongside
The products named in the same answers as Base, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Base 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 Base. 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 7 of the 7 answers that named Base and are not a share of its labels.
Domains cited
openloyalty.io5
blog.hubspot.com4
checkthat.ai4
g2.com4
questionpro.com4
tremendous.com4
affise.com3
refgrow.com3
softwaresuggest.com3
talon.one3
Thirty-seven of the thirty-seven domain citations in answers naming Base came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on base.ai
324
subdomains included
Content
260
counted in the table below
Documentation
13
Product · Integration
16 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 100 | 8 | 2026-08-31 | ||
| Glossary or explainer | 68 | undated | CDP | ||
| Webinar or virtual event | 64 | 1 | 2026-07-30 | ||
| Case study | 12 | 2 | 2026-07-20 | ||
| News or press | 9 | undated | |||
| Comparison | 5 | 2 | 2026-09-23 | ||
| Conference or event | 2 | 0 | 2022-06-13 |
Most recent
- 2026-09-23Watch build vs buy comparison
- 2026-08-31Customer advocacy software enterprise b2b blog
- 2026-08-31Customer reference management software enterprises blog
- 2026-08-26Trust operations post sale ai agents blog
- 2026-08-20How customer success can prove direct revenue attribution blog
- 2026-08-18Ai reference matching sales moments blog
How it is countedHide how it is counted
Every page base.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. 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 Base
What the judge wrote, as written, with how often. The vendor table decides that these count as Base; a claim can dispute any of them.
Base (Base.ai) 1Base (formerly Rodeo) 1
Follow Base
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
Base is its own company.ShowHide
The company
Base is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The AI customer growth platform
- For
- the teams that own customer growth
- Certifications
- SOC2 CompliantSOC 2 Type 2 certified
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, hosting, customers
What Base's own pages state, read October 5, 2026: base.ai, base.ai, base.ai/platform, base.ai/solutions/customer-stories, base.ai/platform/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 Base'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 Base, 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 Base by email, built from the raw record of the edition. It shows:
- where Base 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 Base, 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.