AI Indexes
GTM AI Index
Index › Products › Freshchat · October 2026 Edition
4 categories · Ranked

Freshchat

53Judge labels
5First choices
4Negative labels
12 / 14Models named it
4Categories
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
2% in Support chatbots for mid-market buyers
Rank 8 of 87 in the mid-market standing
2 of 14 models made it the first choice on the direct prompt; 0% of its 8 labels there were negative.
What the models named instead of Freshchat →
By buyer segmentRead the same way at every buyer size.
In conversational mktg · 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 Freshchat 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
Conversational marketing platformsMarketing4%8 of 870%8under 10 labels · led by Tidio at 13%
Chatbots and conversational AI for supportCustomer2%10 of 1140%13accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Customer support and helpdeskCustomer0%42 of 55100%1under 10 labels · led by Zendesk Support Suite at 31%newNew since September 2026: not ranked then, 0% now.
In-app messaging and customer communicationsCustomer0%48 of 1050%1under 10 labels · led by Intercom at 21%newNew since September 2026: not ranked then, 0% now.

Movement

This is the first edition on this tier, so no move can be computed for Freshchat yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Freshchat across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501102
GPT-5.4 mini11002
Gemini 3.5 Flash00000
Perplexity Sonar02002
Grok 4.2000101
Mistral Small01102
DeepSeek V4 Flash11013
Llama 4 Maverick01102
Qwen 3.7 Flash01001
Kimi K201001
GLM 4.7 FlashX01001
MiniMax M2.512003
GPT-6 Luna00000
Muse Glimmer 30B03003

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
Paraphrase2 labels1
Comparative18 labelsNone
Budget-constrained10 labels1
Scale-constrained3 labels1
Negative7 labelsNone
First choiceAlternativeMentionNegative53 labels in all, every segment counted; 5 of the 5 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.

“Freshchat offers the best balance of: Affordable pricing, AI-powered lead qualification, Multichannel outreach, Scalability without enterprise complexity” MiniMax M2.5 · Conversational mktg · direct prompt · first choice
“Top Recommendation: Freshchat (by Freshworks) ... offers the best balance of capability, pricing, and ease of use” DeepSeek V4 Flash · Conversational mktg · direct prompt · first choice
“Best overall budget pick for a small support team: Freshdesk/Freshchat” GPT-5.4 mini · Support chatbots · budget prompt · first choice
“It's a solid middle-ground option — more capable than HubSpot's basic chatbot, less expensive than Drift or Qualified” Muse Glimmer 30B · Conversational mktg · paraphrase 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.

“similar concerns apply regarding support quality and platform stability” DeepSeek V4 Flash · Helpdesk · negative prompt · soft negative

Named alongside

The products named in the same answers as Freshchat, over the 53 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Freshchat was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Drift22 of 533Not among the top eight
Intercom22 of 533Not among the top eight
Crisp11 of 532Not among the top eight
Qualified8 of 531Not among the top eight
LivePerson7 of 530Not 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 Freshchat. 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 51 of the 53 answers that named Freshchat and are not a share of its labels.

Domains cited

capterra.com17
guideflow.com17
tidio.com17
g2.com16
sobot.io14
thecmo.com14
wonderchat.io14
learn.g2.com13
zendesk.com13
sitegpt.ai12

No domain is on file for Freshchat, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where Freshchat stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
1,300 a month (“freshchat”)
AI search demand for its name, est.
38 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
4%
rank 8 of 87 in conversational mktg
Segment leader
13%
Tidio
First choices
5 across its categories
Named in
53 answers
Its own site cited
No site on file to match

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.

Names read as Freshchat

What the judge wrote, as written, with how often. The vendor table decides that these count as Freshchat; a claim can dispute any of them.
Freshdesk/Freshchat 3Freshchat (Freshdesk) 2Freshchat (Freddy AI) 1Freshchat (by Freshworks) 1Freshchat by Freshworks 1Freshchat/Freshdesk 1

Follow Freshchat

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.

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 Freshchat'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 Freshchat, 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 Freshchat by email, built from the raw record of the edition. It shows:

  • where Freshchat 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 Freshchat, 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.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain 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.