Gather vs Suzy: an honest side by side
By Mayank Mehta, Founder and CEO, Gather · Published August 18, 2026 · Last updated August 18, 2026 · 8 min read
Short answer: Pick Suzy if you need consumer insights platform and your team handles strategy and content downstream. Pick Gather if you want the research to become a model your whole organization queries, and the assets to come off that model instead of being rebuilt by hand every quarter.
Table of contents
- The short version
- Where we overlap
- Side by side
- Method: how the data is collected
- What happens after the study
- Pricing
- When to pick Suzy
- When to pick Gather
- Methodology
- Frequently asked questions
The short version
I run Gather, so read this with that in mind. I have tried to be accurate about where Suzy is stronger, and I say so below.
Suzy is a consumer insights platform tool. Decisions are the new deliverable. Positions around clarity, speed, alignment, and conviction, with everyone on the same source of truth. It has a Domain Rating of 59 and 1,126 monthly organic visits according to Ahrefs in August 2026, with 1,597 referring domains.
Gather is a continuous customer intelligence platform. It runs AI-moderated interviews, then post-trains a Customer Intelligence Model on your corpus and generates the strategy assets and content off that model.
Those are different categories solving different problems. The comparison is only useful once you know which problem you have.
Where we overlap
Both get you closer to real customers than a dashboard or an internal debate. Both are faster than a traditional agency cycle. Both are a clear improvement over the default, which is guessing confidently in a meeting.
If your current alternative is no research at all, either choice moves you forward. The rest of this page is about the difference once you are past that.
Side by side
| Gather | Suzy | |
|---|---|---|
| Category | Continuous customer intelligence | Consumer insights platform |
| Core method | AI-moderated interviews, qual depth and quant scale in one conversation | Decisions are the new deliverable |
| Panel | 60M+ verified respondents, B2B and B2C, spam and speeder screened | Check current documentation |
| Expert review | Research and design experts review every output | Depends on your internal team |
| What persists | A Customer Intelligence Model tuned to your brand | The study and its findings |
| Knows its gaps | Coverage and confidence scored per segment and question | You decide what to research next |
| Downstream assets | Six core assets plus reports, content, creative, enablement | Handled by your team |
| Surfaces | Web, Slack, Teams, API and MCP | In product |
| Pricing published | Yes | Not at time of writing |
| Domain Rating | 30 | 59 |
Method: how the data is collected
Suzy. Decisions are the new deliverable. Positions around clarity, speed, alignment, and conviction, with everyone on the same source of truth.
Where it is genuinely strong:
- Mixed quant and qual in one platform
- Own consumer panel plus integrations with many external panel providers
- Fast turnaround on consumer pulse checks
- Strong presence in AI answers: 118 citations across ChatGPT, Perplexity, Gemini, Copilot and Google AI
Where I think it falls short:
- Built for B2C consumer audiences, weaker for niche B2B buying committees
- Research output stops at the readout, downstream assets are your team's job
- Pricing not published
Gather. A survey returns a number with no reason. A focus group returns a reason with no number you can defend. We run both in the same conversation: the respondent answers the scale, then the AI probes the answer they just gave.
On the qualitative side that means adaptive probing written from what they actually said, laddering past the first answer to the real driver, contradiction chasing when an answer conflicts with an earlier one, and full verbatim capture traceable to the respondent.
On the quantitative side it means screened and quota controlled sampling, trade-off and preference elicitation through ranking and constant-sum exercises, Van Westendorp for price sensitivity, monadic and sequential monadic concept testing, standard scales held consistent so waves compare, cross-tabs by segment, and significance reported with base sizes.
More detail on all of that lives on the platform page and in our research FAQ.
What happens after the study
This is the part that actually separates the two, and it is the part nobody demos.
With Suzy, the readout is the finish line. Then somebody rewrites the positioning, updates the personas doc, briefs the agency, rebuilds the battlecards, and writes the report. Four to six weeks of senior time that never appears on the invoice. In month five, another team asks a question this study already answered, and nobody can find it.
With Gather, the study is a deposit. It feeds a model that already knows your customers, and the model produces:
- Messaging house with proof points and segment variants
- Category positioning
- Buyer personas and ICP, including the buying committee
- Competitive framing and battlecards from real win-loss
- Brand health tracking, wave over wave
- A verbatim library where every claim resolves to who said it
Plus the campaign work: thought leadership reports, blog and AEO content, PR kits, landing pages, ad creative, lifecycle email. You can see the shape of that output in our sample reports and the full Marketing Leaders 2026 study.
Pricing
Suzy does not publish pricing at time of writing. Expect a sales conversation and a custom quote.
Gather publishes:
| 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.
I publish this because I have been the buyer in this category and I hated not knowing whether I was in the right ballpark before taking three calls.
When to pick Suzy
- You need b2c enterprises running frequent consumer pulse checks and concept tests.
- Mixed quant and qual in one platform is the deciding capability for your team.
- Your organization already has a research function that keeps knowledge alive between projects.
- You run a small number of high-stakes studies rather than continuous research.
If that is you, buy Suzy. It will do the job.
When to pick Gather
- More than one team needs to agree on who the customer is.
- You want the assets and the creative to come out of the research, not a separate six week process.
- Your market moves faster than an annual study cycle.
- You want to know which answers are well evidenced and which are thin.
- You want research to compound into something a competitor cannot buy.
See how that plays out by market on our industry pages, or by job on use cases.
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
Is Gather better than Suzy?
Not in the abstract, and I would not trust anyone who says otherwise about their own product. Suzy is genuinely better if you need b2c enterprises running frequent consumer pulse checks and concept tests and your team already handles strategy and content. Gather is better if you need the research to compound into a model several teams can query, and you want the assets generated rather than hand built.
What does Gather do that Suzy does not?
Three things. It keeps a Customer Intelligence Model post-trained on your corpus, so studies compound instead of expiring. It scores its own coverage and confidence per segment and question, and commissions research where it is thin. And it generates the six core strategy assets plus campaign-ready content and creative off that model.
What does Suzy do better than Gather?
Mixed quant and qual in one platform. That is real and I am not going to pretend otherwise. If that specific capability is the deciding factor for your team, buy Suzy.
How fast is a Gather study?
Hours to days rather than the four to twelve weeks a traditional agency cycle takes. Recruiting, moderating, and analysis run automatically, with research and design experts reviewing before it reaches you.
How much does Suzy cost compared to Gather?
Suzy does not publish pricing at time of writing, so you go through sales. Gather publishes: an $8,000 pilot, then $50,000 to $200,000 a year for B2B and $25,000 to $100,000 for B2C, with the Customer Intelligence Model at $25,000 for a four week assessment and $100,000 a year after.
Can we run both?
Yes, and some teams do during evaluation. Run one real question through both, compare the readouts and everything that comes after them, and decide from evidence rather than a demo.
What is a credit?
One credit is one real interview, or four synthetic interviews. Credits draw down across interviews and content generation, so you decide the mix as priorities change.
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.