GTM AI Index
Index Vendors › Chatbase · September 2026 Edition
1 category · Ranked

Chatbase

23Judge labels
0First choices
4Negative labels
9 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
0% in Support chatbots for small business buyers
Rank 24 of 106 in the mid-market standing
0 of 12 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.
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 Chatbase 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Chatbots and conversational AI for supportCustomer0%24 of 1060%5under 10 labels · led by Intercom at 35%

Movement

This is the first edition on this tier, so no move can be computed for Chatbase yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Chatbase across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct3 labelsNone
Paraphrase0 labelsNone
Comparative6 labels1not counted in share
Budget-constrained7 labelsNone
Scale-constrained2 labelsNone
Negative5 labels2not counted in share
First choiceAlternativeMentionNegative23 labels in all, every segment counted; 0 of the 3 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 Chatbase or Chatling if: You only need a lightweight AI chatbot trained on your website content” DeepSeek V4 Flash · Support chatbots · budget prompt · alternative
“The fastest way to get a working bot live ... favorite for individuals and small teams” Claude Haiku 4.5 · Support chatbots · budget prompt · alternative
“Chatbase: Best No-Code Generative AI Chatbot ... incredibly fast and highly rated” Gemini 3.5 Flash · Support chatbots · budget prompt · alternative
“Excellent for turning a PDF or website into a functional chatbot quickly” Qwen 3.7 Flash · Support chatbots · 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 Chatbase, over the 23 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Chatbase was named but was not.
ProductSame answerTook the first choice insteadHead to head
Tidio21 of 2311Not in the top three
Intercom19 of 235Not in the top three
Botpress10 of 230Not in the top three
Freshdesk9 of 232Not in the top three
Gorgias8 of 232Not in the top three
Ada8 of 231Not in the top three
Zendesk AI7 of 230Not in the top three
Crisp6 of 230Not in the top three
ManyChat6 of 230Not in the top three
Drift5 of 230Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 Chatbase. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 2 of the 23 answers that named Chatbase and are not a share of its labels.

Domains cited

eesel.ai2
featurebase.app2
fin.ai2
askyura.com1
connect.lime-technologies.com1
freshworks.com1
lindy.ai1
proprofschat.com1
quidget.ai1
teamsupport.com1

Thirteen of the thirteen domain citations in answers naming Chatbase came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Chatbase

What the judge wrote, as written, with how often. The vendor table decides that these count as Chatbase; a claim can dispute any of them.
Chatling/Chatbase 1
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 Chatbase'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 Chatbase, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at chatbase.co is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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