AI Indexes
GTM AI Index
Index › Products › Crisp · October 2026 Edition
5 categories · Ranked

Crisp

79Judge labels
12First choices
3Negative labels
14 / 14Models named it
5Categories
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
10% in In-app messaging for small business buyers
Rank 5 of 105 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 4 labels there were negative.
What the models named instead of Crisp →
By buyer segmentRead the same way at every buyer size.
In in-app messaging · 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 Crisp 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 rateLabelsQuadrantSince September 2026
In-app messaging and customer communicationsCustomer5%5 of 1050%4under 10 labels · led by Intercom at 21%▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Conversational marketing platformsMarketing2%13 of 8710%10accepted challenger
Chatbots and conversational AI for supportCustomer2%18 of 11433%3under 10 labels · led by Intercom Fin AI Agent at 41%▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Customer feedback and surveysCustomer0%48 of 840%1under 10 labels · led by CustomerGauge at 24%newNew since September 2026: not ranked then, 0% now.
Customer success platformsCustomer0%31 of 490%1under 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, Crisp held within the floor in all five categories: no change cleared 11 points.

Best category · In-app messaging · by segment

Small business=heldSince September 2026: 9% → 9%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
9%from 9% in September 2026
Inside the floor by 11 pointsRank 2 → 3 of 107
Mid-market▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 2% in September 2026
Inside the floor by 9 pointsRank 17 → 8 of 96
EnterprisegoneNot named this edition; 0% in September 2026.
0%from 0% in September 2026
Inside the floor by 11 pointsNot ranked

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Conversational mktg0%2%newNew since September 2026: not ranked then, 2% now.New this editionRank 13 of 87, unchanged
Support chatbots0%2%▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 32 → 18 of 114
In-app messaging2%4%▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 17 → 5 of 105
Feedback0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 48 of 84, unchanged
Customer success0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 21 → 31 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 Crisp across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.502002
GPT-5.4 mini10001
Gemini 3.5 Flash11002
Perplexity Sonar00000
Grok 4.1 Fast00011
Mistral Small00101
DeepSeek V4 Flash00101
Llama 4 Maverick00101
Qwen 3.7 Flash22116
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna11002
Muse Glimmer 30B00101

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
Direct9 labels1
Paraphrase5 labelsNone
Comparative17 labels4not counted in share
Budget-constrained28 labels10
Scale-constrained6 labels1
Negative14 labelsNone
First choiceAlternativeMentionNegative79 labels in all, every segment counted; 12 of the 16 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 start with Crisp. Its free plan includes two agent seats, a shared inbox, unlimited conversations” GPT-6 Luna · In-app messaging · budget prompt · first choice
“the best customer support chatbot platform in 2026 is generally Crisp” Qwen 3.7 Flash · Support chatbots · budget prompt · first choice
“For most companies with limited budget, Crisp is the best balance of” GPT-5.4 mini · In-app messaging · budget prompt · first choice
“For low-cost customer support chat: Go with Crisp.” Gemini 3.5 Flash · In-app messaging · budget prompt · first choice

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.

“Recent negative reviews have included allegations of "bad business practices" and products failing to live up to marketing promises.” Qwen 3.7 Flash · Support chatbots · negative prompt · hard negative
“Platforms like some Tidio/Crisp free tiers lack deep CRM syncing” Grok 4.1 Fast · Conversational mktg · negative prompt · soft negative

Named alongside

The products named in the same answers as Crisp, over the 79 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Crisp was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Tidio58 of 7927Not among the top eight
Intercom42 of 795Not among the top eight
Drift31 of 794Not among the top eight
Intercom Fin AI Agent16 of 790Not among the top eight
ManyChat13 of 791Not among the top eight
HubSpot Conversations12 of 793Not among the top eight
Help Scout12 of 792Not among the top eight
Zendesk AI12 of 790Not among the top eight
Qualified11 of 792Not among the top eight
Freshchat11 of 790Not among the top eight
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 Crisp. 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 72 of the 79 answers that named Crisp and are not a share of its labels.

Domains cited

capterra.com24
tidio.com24
guideflow.com21
cloudtalk.io20
g2.com18
learn.g2.com18
thecmo.com16
wonderchat.io16
zendesk.com15
resources.rework.com14

186 of the 186 domain citations in answers naming Crisp came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

crisp.chat is not in Google's top ten for any of the category's searches. In the answers, Crisp takes 5% of first choices and Intercom takes 21%.
ShowHide

In search

Google, US estimates
Position for “in-app messaging platform”
–
not in the top ten
Position for “best in-app messaging platform”
–
not in the top ten
Searches for its name, Google
60,500 a month (“crisp”)
AI search demand for its name, est.
36,276 a month
Organic visits to its site
about 29,685 a month
Searches its site ranks for
2,284 · 227 in the top three
Sites linking to it
11,643
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
3 ads · 2 text, 1 image · 2 shown in the last 30 days

First shown July 2022, as Crisp SARL, verified.

On Google's pages: 1 2 3

In answers

This edition
Share of first choices
5%
rank 5 of 105 in in-app messaging
Segment leader
21%
Intercom
First choices
12 across its categories
Named in
79 answers
Its own site cited
in 72 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
Addresses on crisp.chat
6,104
subdomains included
Content
1,077
counted in the table below
Documentation
320
Product · Integration
0 · 84
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Comparison73812026-07-30
Blog213132026-09-03SEO, CRM
Report or ebook126undated
How it is countedHide how it is counted

Every page crisp.chat 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.

Follow Crisp

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

Crisp is its own company.
ShowHide

In its own words

Stated by the vendor, not checked
Positioning
The AI Customer Support Platform for Every Business
For
every business; customer support, marketing, and sales teams
Price stated
Flat pricing; USD 0, 45, 95, 295 crisp.chat
Starting price
0 crisp.chat
Free plan or trial
14 days free trial crisp.chat
Integrations claimed
100 crisp.chat/en/pricing
Hosting
European servers
Customers named
emmaairfrancedecathlonrefugieeshotelbbreedsybeemenergythecompaniesapi
Not stated on the pages read
Certifications

What Crisp's own pages state, read September 28, 2026: crisp.chat, crisp.chat/en/pricing, crisp.chat/en/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 Crisp'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 Crisp, 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 Crisp by email, built from the raw record of the edition. It shows:

  • where Crisp 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 Crisp, 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.

A verification link goes to your work email; an address at crisp.chat is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.