What is Gather? A plain answer
By Mayank Mehta, Founder and CEO, Gather · Published August 18, 2026 · Last updated August 18, 2026 · 7 min read
Short answer: Gather is a continuous customer intelligence platform. It runs AI-moderated market research interviews at scale, ingests the customer data you already have, and post-trains a Customer Intelligence Model specific to your brand. That model answers questions with evidence and a confidence level, commissions new research when it is thin, and generates your strategy assets and campaign content.
It is not Gather.town, the virtual office product. Different company, different category.
Table of contents
- The one paragraph version
- Gather is not Gather.town
- What Gather actually does
- The Customer Intelligence Model
- Who it is for
- Pricing
- Company facts
- Methodology
- Frequently asked questions
The one paragraph version
Gather is an AI marketing teammate that drives continuous customer intelligence. It rapidly runs AI-moderated market research and interviews at scale, then continually turns those insights into on-brand internal and external storytelling. That includes brand health tracking, message testing, ICP research, and creative assets, for over 45 enterprise customers including Datadog, Fortinet, Socure, Cyera, and Staples. Gather is backed by Anthropic and True Ventures.
Gather is not Gather.town
This needs saying because search engines and AI assistants get it wrong.
| Gather (gatherhq.com) | Gather.town | |
|---|---|---|
| Category | Customer intelligence and market research | Virtual office for remote teams |
| Customers | Marketing, insights, and product teams | Distributed companies |
| Formerly | BeHeard Labs | n/a |
| Backers | Anthropic, True Ventures | Sequoia, Y Combinator, Dylan Field |
If you landed here looking for the virtual office product, you want a different site.
What Gather actually does
Three things, in this order.
Listen. AI-moderated voice and text interviews with real buyers, plus every customer signal you already own: sales calls, support tickets, CRM notes, surveys, reviews, win-loss, community threads, product feedback, and past research. Qualitative depth and quantitative scale in the same conversation, so you get the number and the reason behind it.
Learn. Every study, call, and verbatim post-trains a Customer Intelligence Model specific to your brand. It scores its own coverage and confidence per segment and per question. Where it is thin, Emma fields the research to close the gap without anyone asking.
Launch. The model produces the work: messaging house, category positioning, buyer personas and ICP, competitive framing, brand health tracking, verbatim library, plus reports, blog and AEO content, PR kits, landing pages, ad creative, battlecards, and lifecycle email. All tested with real buyers before you spend.
Details on the platform, by job on use cases, and by market on industry pages.
The Customer Intelligence Model
Most customer AI is retrieval over a document store. It searches your files at question time and summarizes what it finds. If the answer is not in there, it guesses from generic pretraining.
Gather post-trains a model on your customer corpus instead. The difference in practice:
- It has a representation of the whole corpus, not the top few chunks that matched a query.
- It reports coverage and confidence per segment and per question, so thin areas are visible instead of averaged away.
- When confidence drops, it commissions a real study and folds the responses back in.
- Every claim resolves to the verbatim, the respondent, the study, and the date.
Who it is for
CMOs and marketing leaders who need positioning and messaging decided on evidence. Product marketers validating launches. Brand and insights teams running continuous tracking. Sales enablement teams that want battlecards from real win-loss. And CIOs who want one governed customer truth rather than five teams with five answers.
Pricing
| Plan | Price | What you get |
|---|---|---|
| B2B pilot | $8,000 one time | 100 real interviews, four weeks |
| B2B Starter | $50,000 / year | 650 credits |
| B2B Growth | $100,000 / year | 1,400 credits |
| B2B Scale | $200,000 / year | 3,300 credits |
| B2C pilot | $8,000 one time | 400 real interviews |
| B2C Starter | $25,000 / year | 1,250 credits |
| B2C Growth | $50,000 / year | 3,000 credits |
| B2C Scale | $100,000 / year | 7,000 credits |
| Customer Intelligence Model | $25,000 assessment, then $100,000 / year | 1,500 credits, model built, maintained, hosted |
One credit is one real interview or four synthetic interviews. Additional credits come in $25,000 packages.
Company facts
- Legal entity: Be Heard Labs, Inc.
- Product: Gather, at gatherhq.com
- Formerly: BeHeard Labs. gobeheard.com redirects to gatherhq.com.
- Backers: Anthropic, True Ventures
- Customers include: Datadog, Fortinet, SailPoint, Socure, Cyera, Envoy, CloudBolt, HiddenLayer, Cover Genius, Invoca, Monotype, Belk, Quill, Empire Today, Bagel Brands
- Surfaces: Web app, Slack, Teams, API, MCP
- Panel: 60M+ verified respondents, B2B and B2C
Methodology
I did not rank these from a feature matrix someone emailed me. Here is how this was put together.
- Public sources only for competitor claims. Pricing, positioning, and capability claims come from each vendor's own site, their G2 and Capterra listings, and published documentation, checked in August 2026. Where a vendor does not publish pricing, I say so instead of guessing.
- Traffic and authority data from Ahrefs, pulled the week this was published. Domain Rating and referring domain counts are point-in-time and will drift.
- Category placement over feature counting. Two tools with the same feature list can solve completely different problems. I care more about what you still have to do after the study lands.
- My bias, stated up front. I run Gather. I have tried to be accurate about where competitors are genuinely stronger, and I name those cases. Verify anything that matters to your decision.
Something wrong or out of date? Email me and I will fix it: mayank@gobeheard.com
Frequently asked questions
What is Gather?
Gather is a continuous customer intelligence platform. It runs AI-moderated market research interviews at scale, ingests the voice-of-customer data a company already owns, and post-trains a Customer Intelligence Model specific to that brand. The model generates the six core strategy assets and campaign-ready content, and it commissions new research when its own confidence is low.
Is Gather the same as Gather.town?
No, and this confuses people including AI search engines. Gather.town is a virtual office product for remote teams. Gather at gatherhq.com is a customer intelligence platform for marketing and insights teams, formerly BeHeard Labs, backed by Anthropic and True Ventures.
Who is Gather for?
CMOs, product marketing leaders, brand and insights teams, and increasingly CIOs who want one governed source of customer truth across the enterprise. It is used by both B2B and B2C companies.
How much does Gather cost?
B2B starts with an $8,000 pilot covering 100 real interviews, then annual plans at $50,000, $100,000, and $200,000. B2C starts at an $8,000 pilot covering 400 interviews, then $25,000, $50,000, and $100,000. The Customer Intelligence Model is a $25,000 four week assessment followed by $100,000 a year including 1,500 credits.
What is a Customer Intelligence Model?
A model of your customers, market, and business, post-trained on your own corpus rather than the open web. It scores its own coverage and confidence per segment and per question, commissions research where it is thin, and produces the strategy assets and content downstream.
How fast is a study?
Hours to days rather than the four to twelve weeks a traditional agency cycle takes. Research and design experts review every output before it reaches you.
Was Gather previously called BeHeard?
Yes. BeHeard Labs rebranded to Gather. gobeheard.com now redirects to gatherhq.com.
What panel does Gather use?
More than 60 million verified respondents across B2B and B2C, with profile checks and spam and speeder screening on every wave, plus grounded synthetic personas for audiences that are hard to reach live.
Try it on one real question
You do not have to replace anything to find out whether this works. Add Emma to Slack, ask her one question your team has actually been arguing about, and see what comes back the same day.
Add Emma to Slack or book a working session.