GTM AI Index
Index Vendors › tawk.to · September 2026 Edition
3 categories · Named, not ranked

tawk.to

22Judge labels
4First choices
0Negative labels
9 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
8 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. tawk.to was named 8 times in In-app messaging and 2 other categories, where Intercom led with 20%. The labels and the evidence are below, counted exactly.
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 tawk.to 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
In-app messaging and customer communicationsCustomer2%15 of 1130%3under 10 labels · led by Intercom at 20%
Chatbots and conversational AI for supportCustomer0%33 of 1060%4under 10 labels · led by Intercom at 35%
Customer support and helpdeskCustomer0%47 of 590%1under 10 labels · led by Freshdesk at 44%

Movement

This is the first edition on this tier, so no move can be computed for tawk.to 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 tawk.to across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash10001
Perplexity Sonar00202
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200101
GLM 4.7 FlashX01102
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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative3 labelsNone
Budget-constrained16 labels4
Scale-constrained0 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative22 labels in all, every segment counted; 4 of the 4 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.

“Tawk.to – *Best 100% Free Option*” Gemini 3.5 Flash · In-app messaging · budget prompt · first choice
“Use Tawk.to if you want completely free unlimited chat support.” GLM 4.7 FlashX · In-app messaging · budget prompt · alternative
“If you need live chat + basic AI: Tawk.to (100% free)” Mistral Small · Support chatbots · budget prompt · alternative
“Winner: Tawk.to ... Tawk.to is permanently free” Qwen 3.7 Flash · In-app messaging · 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 tawk.to, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and tawk.to was named but was not.
ProductSame answerTook the first choice insteadHead to head
Tidio14 of 226Not in the top three
Intercom12 of 220Not in the top three
Zendesk10 of 222Not in the top three
Freshdesk7 of 221Not in the top three
Crisp6 of 222Not in the top three
Freshchat6 of 220Not in the top three
HubSpot Service Hub5 of 221Not in the top three
Zoho Desk5 of 221Not in the top three
Zoho SalesIQ5 of 220Not in the top three
OneSignal4 of 221Not 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 tawk.to. 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 3 of the 22 answers that named tawk.to and are not a share of its labels.

Domains cited

capterra.com3
eesel.ai3
featurebase.app3
fin.ai3
freshworks.com3
lindy.ai3
zendesk.com3
azumo.com2
botpress.com2
chatling.ai2

Twenty-seven of the twenty-seven domain citations in answers naming tawk.to came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as tawk.to

What the judge wrote, as written, with how often. The vendor table decides that these count as tawk.to; a claim can dispute any of them.
Tawk.to 7
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 tawk.to'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 tawk.to, 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 tawkto.com 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.