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Gather

Gather is an AI marketing teammate that drives continuous customer intelligence. It runs AI-moderated market research and interviews at scale, then continually turns those insights into on-brand internal and external storytelling. Gather is backed by Anthology, True Ventures, and Ridge Ventures.

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46 reach 5 · trust 10 · quality 16 · freshness 15
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listed
llms.txt
https://www.gatherhq.com/llms.txt
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7407 bytes
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#875563
Registered
2012-12-19
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Data and analytics
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Documentation: developer or product docs worth reading, nothing to call
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2026-10-19T10:45:13.527Z
Last checked
2026-10-21T19:18:20.963Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T19:18:19.060Z. Cached copy · Source on gatherhq.com

# Gather

> Gather is an AI marketing teammate that drives continuous customer intelligence. It runs AI-moderated market research and interviews at scale, then continually turns those insights into on-brand internal and external storytelling. Gather is backed by Anthology, True Ventures, and Ridge Ventures.

## What Gather is

Gather builds a Customer Intelligence Model: one model of a brand's customers, market, and business, tuned to that brand. It learns from the buyer signal a company already owns, and when its confidence is low on a segment or question, it autonomously runs AI-moderated research with real buyers to close the gap. Everything downstream, the strategy assets, the creative, and the answers, comes out of that model.

Category: Continuous Customer Intelligence.

## How it works

1. **Listen.** Gather ingests existing customer signal (sales calls, support tickets, CRM notes, surveys, reviews, win/loss, community, product feedback, past research) and runs AI-moderated voice and text interviews to fill what is missing. Respondents come from a global panel of verified buyers and consumers, with profile checks and spam scoring on every wave. It runs continuously, not quarterly.
2. **Learn.** Every study, call, and verbatim tunes the model. Six core assets stay current automatically: messaging house, category positioning, buyer personas and ICP, competitive framing, brand health tracker, and verbatim library.
3. **Launch.** The model produces campaign-ready work: thought leadership and state-of-industry reports, PR stories, social and executive posts, landing pages, ad creative, battlecards, and lifecycle email. Creative is tested with real buyers before spend.

## Qualitative depth and quantitative scale in one study

A survey returns a number without a reason. A focus group returns a reason without a defensible number. Gather does both in the same conversation: the respondent answers the scale, then the AI probes the answer they just gave.

- Qualitative: adaptive probing, laddering, jobs-to-be-done elicitation, voice or text interviews, contradiction chasing, full verbatim capture with traceability to the respondent.
- Quantitative: screened and quota-controlled sampling, ranking and constant-sum, Van Westendorp price sensitivity, monadic and sequential monadic concept testing, standard scales including Likert and NPS, cross-tabs by segment, and significance reported with base sizes.
- Research and design experts review every output.

## Emma

Emma is Gather's agent in Slack. Teams ask her like a teammate, and she designs the study, fields it, analyzes it, and returns a packaged readout, typically the same day. Every task she completes tunes the brand's Customer Intelligence Model further.

## Research and use cases

Gather covers the full funnel and customer lifecycle:

- Awareness: brand health tracking, ad and creative testing
- Interest: messaging and positioning testing, concept testing, content preference research
- Consideratio
…

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