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 30 → 87 of 93
2 categories · RankedAda
66Judge labels
4First choices
10Negative labels
14 / 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
6% in Support chatbots for enterprise buyers
Rank 9 of 114 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 14% of its 28 labels there were negative.
What the models named instead of Ada →By buyer segmentRead the same way at every buyer size.
Small business91 of 98
0%5 labels
under the label threshold
Mid-market9 of 114
2%28 labels
accepted challenger
Enterprise5 of 113
6%25 labels
accepted challenger
In support chatbots · 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 Ada 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 |
|---|---|---|---|---|---|---|---|
| Chatbots and conversational AI for support | Customer | 2% | 9 of 114 | 14% | 28 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Knowledge base and self-service | Customer | 0% | 59 of 88 | 0% | 1 | under 10 labels · led by Notion at 21% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Ada held within the floor in all two categories: no change cleared 11 points.
Best category · Support chatbots · 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 → 9 of 109
Enterprise▼−1Since September 2026: 8% → 7%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
7%from 8% in September 2026
Inside the floor by 10 pointsRank 4 of 105, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Support chatbots | 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 → 9 of 114 |
| Knowledge base | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 59 of 88, 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 Ada 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 Ada 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 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 1 | 2 | 0 | 0 | 3 |
| Perplexity Sonar | 0 | 2 | 0 | 1 | 3 |
| Grok 4.20 | 0 | 4 | 1 | 0 | 5 |
| Mistral Small | 0 | 0 | 2 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 1 | 2 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 1 | 1 | 0 | 1 | 3 |
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
Direct13 labels2
Paraphrase7 labelsNone
Comparative26 labels2not counted in share
Budget-constrained5 labels1
Scale-constrained6 labels1
Negative9 labels1not counted in share
First choiceAlternativeMentionNegative66 labels in all, every segment counted; 4 of the 7 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.
“Ada: Excellent for mid-market to enterprise companies. Highly advanced in taking actual business "actions"” Gemini 3.5 Flash · Support chatbots · scale prompt · first choice
“Enterprise-level performance with no-code authoring and automation-first design.” Muse Glimmer 30B · Support chatbots · comparative prompt · first choice
“If you need high-volume, enterprise-scale automation with professional services, Ada is the next step up” Muse Glimmer 30B · Support chatbots · paraphrase prompt · alternative
“Ada if you’re very focused on AI automation and are comfortable with custom enterprise pricing” GPT-5.4 mini · Support chatbots · direct 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.
“it may require hands-on tuning and works best when your knowledge lives in structured help-center content” Perplexity Sonar · Support chatbots · negative prompt · soft negative
“The gold standard for "pure" AI support bots. Expensive, but very powerful for higher volumes.” Qwen 3.7 Flash · Support chatbots · scale prompt · soft negative
“Sierra and Ada are pricing-prohibitive and feature-heavy for mid-market” Muse Glimmer 30B · Support chatbots · direct prompt · soft negative
“High-end enterprise AI agents | Premium pricing ($150K+ annually)” DeepSeek V4 Flash · Support chatbots · scale prompt · soft negative
Named alongside
The products named in the same answers as Ada, over the 66 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ada was named but was not.ShowHide
Named alongside
The products named in the same answers as Ada, over the 66 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ada 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 Ada. 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 61 of the 66 answers that named Ada and are not a share of its labels.
Domains cited
botpress.com23
capterra.com21
chatbot.com19
zendesk.com19
wonderchat.io18
yellow.ai18
sobot.io17
freshworks.com15
intercom.com15
g2.com13
178 of the 178 domain citations in answers naming Ada came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
ada.cx ranks 8 on Google for the category's searches. In the answers, Ada takes 2% of first choices and Intercom Fin AI Agent takes 41%.ShowHide
Search and answers
ada.cx ranks 8 on Google for the category's searches. In the answers, Ada takes 2% of first choices and Intercom Fin AI Agent takes 41%.
ShowHideIn search
Google, US estimatesPosition for “customer support chatbot platform”
8
Position for “best customer support chatbot platform”
–
not in the top ten
- Searches for its name, Google
- 201,000 a month (“ada”)
- AI search demand for its name, est.
- 50,587 a month
- Organic visits to its site
- about 23,398 a month
- Searches its site ranks for
- 936 · 45 in the top three
- Sites linking to it
- 4,288
- 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 9 of 114 in support chatbots
Segment leader
41%
Intercom Fin AI Agent
- First choices
- 4 across its categories
- Named in
- 66 answers
- Its own site cited
- in 61 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 ada.cx
647
subdomains included
Content
60
counted in the table below
Documentation
580
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Template or tool | 39 | undated | |||
| Report or ebook | 13 | undated | |||
| Glossary or explainer | 7 | undated | |||
| Comparison | 1 | undated |
How it is countedHide how it is counted
Every page ada.cx 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 September 29, 2026.
Names read as Ada
What the judge wrote, as written, with how often. The vendor table decides that these count as Ada; a claim can dispute any of them.
Ada/IBM Watsonx 1
Follow Ada
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
Ada is its own company.ShowHide
The company
Ada is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI customer service agents for enterprise CX; the agentic customer experience platform
- For
- enterprise CX organizations
- Certifications
- HIPAASOC 2GDPRPCI DSSAIUC-1
- Customers named
- Loop EarplugsLife360monday.comipsybetssonepos nowbrigitCebu Pacific
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, hosting
What Ada's own pages state, read September 28, 2026: ada.cx. 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 Ada'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 Ada, 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 Ada by email, built from the raw record of the edition. It shows:
- where Ada 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 Ada, 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.