Every category where a model named HubSpot Conversations 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
Conversational marketing platforms	Marketing	8%	5 of 87	8%	25	accepted challenger
Chatbots and conversational AI for support	Customer	0%	55 of 114	0%	1	under 10 labels · led by Intercom Fin AI Agent at 41%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

This is the first edition on this tier, so no move can be computed for HubSpot Conversations 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 HubSpot Conversations across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	1	0	0	1
GPT-5.4 mini	1	0	0	0	1
Gemini 3.5 Flash	0	2	0	1	3
Perplexity Sonar	0	1	0	0	1
Grok 4.20	0	1	0	0	1
Mistral Small	0	0	2	0	2
DeepSeek V4 Flash	0	1	1	0	2
Llama 4 Maverick	2	0	1	0	3
Qwen 3.7 Flash	0	4	0	1	5
Kimi K2	0	2	0	0	2
GLM 4.7 FlashX	0	1	0	0	1
MiniMax M2.5	0	0	0	0	0
GPT-6 Luna	2	2	0	0	4
Muse Glimmer 30B	0	0	0	0	0

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 labels6

Paraphrase8 labels2

Comparative16 labels3not counted in share

Budget-constrained11 labels3

Scale-constrained13 labels3

Negative6 labelsNone

First choiceAlternativeMentionNegative67 labels in all, every segment counted; 14 of the 17 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.

“HubSpot Conversations - Best for SMBs and mid-market companies already invested in the HubSpot ecosystem.” Llama 4 Maverick · Conversational mktg · paraphrase prompt · first choice

“The best conversational marketing platform for a mid-market B2B company is HubSpot Conversations” Llama 4 Maverick · Conversational mktg · direct prompt · first choice

“HubSpot: best all-in-one choice if you want chat + CRM + marketing automation.” GPT-5.4 mini · Conversational mktg · comparative prompt · first choice

“My default pick: HubSpot—if you're a typical mid-market B2B company” GPT-6 Luna · Conversational mktg · direct 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.

“Caution if you are a small-to-midsized business without dedicated operations staff.” Gemini 3.5 Flash · Conversational mktg · negative prompt · soft negative

“HubSpot lags behind dedicated competitors” Qwen 3.7 Flash · Conversational mktg · negative prompt · soft negative

Named alongside

The products named in the same answers as HubSpot Conversations, over the 67 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and HubSpot Conversations was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Intercom59 of 671Compare →

Drift47 of 678Compare →

Tidio32 of 6712Compare →

Qualified31 of 6710Compare →

ManyChat16 of 671Compare →

Crisp12 of 672Not among the top eight

LivePerson9 of 671Not among the top eight

1mind8 of 673Compare →

Chatfuel6 of 670Not among the top eight

Freshchat6 of 670Not 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 HubSpot Conversations. 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 62 of the 67 answers that named HubSpot Conversations and are not a share of its labels.

Domains cited

guideflow.com32

wonderchat.io32

thecmo.com26

g2.com24

cloudtalk.io22

resources.rework.com17

storylane.io16

learn.g2.com15

hubspot.comYour site13

1mind.com12

196 of the 209 domain citations in answers naming HubSpot Conversations came from somebody else's page.

Pages cited

guideflow.com/blog/best-conversational-marketing-software31

thecmo.com/tools/best-conversational-marketing-platform26

cloudtalk.io/blog/best-conversational-marketing-software22

g2.com/categories/conversational-marketing21

wonderchat.io/blog/best-b2b-conversational-marketing-platforms21

wonderchat.io/blog/conversational-marketing-tools-b2b18

learn.g2.com/best-conversational-marketing-software15

1mind.com/blog-articles/the-6-best-conversational-marketing-platforms-in-202612

Pages are listed as the models cited them.

Search and answers

Where HubSpot Conversations 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: 50 a month (“hubspot conversations”)
AI search demand for its name, est.: 8 a month
Its own site: It sits on HubSpot's site (hubspot.com), so there are no site figures for it alone

In answers

This edition

Share of first choices

rank 5 of 87 in conversational mktg

Segment leader

13%

Tidio

First choices: 14 across its categories
Named in: 67 answers
Its own site cited: in 62 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 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 HubSpot Conversations

What the judge wrote, as written, with how often. The vendor table decides that these count as HubSpot Conversations; a claim can dispute any of them.

HubSpot 13HubSpot (Conversations) 1HubSpot (Free Tier) 1HubSpot (Marketing Hub & Chat) 1HubSpot (Marketing Hub Professional) 1HubSpot Conversations / Chatbot Builder 1

Follow HubSpot Conversations

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

HubSpot is the company behind HubSpot Conversations.

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On record

Wikidata

Website: hubspot.com
Headquarters: Cambridge, United States
Founded: 2006
Employees: about 8,246 (2024)
Ownership: Public, HUBS on New York Stock Exchange
Also from HubSpot: HubSpot, HubSpot ABM, HubSpot AEO Grader, HubSpot AI, HubSpot Academy, HubSpot Ad Management, HubSpot Ads, HubSpot Ads Management and 77 more

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase

In its own words

Stated by the vendor, not checked

Positioning: HubSpot's conversations streamline intake so all messages are in one place.
academy.hubspot.com/setting-up-conversations
For: Agents can use conversations, implementing best practices to optimize workflow for HubSpot users.
academy.hubspot.com/setting-up-conversations
Not stated on the pages read: Price, starting price, free plan or trial, integrations, certifications, hosting, customers

What HubSpot Conversations's own pages state, read October 5, 2026: academy.hubspot.com/setting-up-conversations, academy.hubspot.com/conversation-intelligence, academy.hubspot.com/using-hubspot-conversations, academy.hubspot.com/facebook-messenger-with-hubspot, blog.hubspot.com/service/live-chat. 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 HubSpot Conversations'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 HubSpot Conversations, 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 HubSpot Conversations by email, built from the raw record of the edition. It shows:

where HubSpot Conversations 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 HubSpot Conversations, 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.