Attest vs Talkful

Attest vs Talkful is less of a head-to-head than the comparison page suggests, because the panel is doing most of the structural work on one side and none of it on the other. Attest is an AI consumer insights engine for B2C brands: bespoke surveys (Attest Measure), AI-moderated qualitative interviews (Attest Explore), and a Compass AI co-pilot, all run against a 150M+ consumer panel across 59 markets on an annual credit-based subscription. Talkful is AI-powered async user research for product teams. Researchers share a link, and participants answer in voice, text, choice, or rating. An AI interviewer asks smart follow-ups in real time at a depth the researcher picks, and a synthesis engine streams themes, quotes, and citations back as the responses land, ready for the team to ship from or for the agents you build with to act on.

Both serve research, but the panel is the structural difference. Attest sells access to consumers you do not have. Talkful sells synthesis on consumers you already have. Most teams hit one of those problems first, and the right tool falls out of which one.

Where Attest wins

Attest has shipped against B2C consumer insights since 2015, when Jeremy King and Tony Hunter founded the company in London. Eleven years and roughly $147M of funding later, the product has the kind of panel depth and procurement track record that does not show up in a Series A startup. Five places it is genuinely strong:

• A 150M+ consumer panel across 59 markets, flat cost regardless of geography. Attest's procurement story leads with audience reach: deep integrations with hundreds of panel partners give buyers access to consumers they have no other plausible way to recruit. Crucially, the published price is a flat per-credit cost on the audience, with no premium for niche or international targeting. For a Cincinnati CPG brand testing a new snack line in Japan, the UK, and Brazil in the same week, that pricing posture is the buying argument. Talkful has no panel: you bring your own users, or you do not use us.
• Bespoke surveys (Attest Measure) at enterprise rigor. The survey product is the heart of the platform: design a custom 10 to 30 question survey, target a specific consumer audience by demographics, run it in days, and get reporting with a proper sample frame and transparent quality controls (bot detection, attention checks, panel-quality monitoring). For brand-tracking, concept-testing, ICP segmentation, and pre-launch validation, that is the sample frame a market-research team expects. Talkful does not run surveys at that scale, against a recruited panel, with that statistical posture.
• Attest Explore: AI-moderated 1:1 interviews on the same panel, results in days. Attest Explore is the qualitative add-on: an AI moderator runs 1:1 interviews with consumers sourced from the same 150M+ panel, with automated reporting and analysis once fieldwork closes. For an insights team that already trusts the panel for quant and wants qual depth without a separate moderator schedule, the integrated workflow (recruit, moderate, analyze, report) is a real time-saver versus stitching together a recruitment vendor, a Zoom interviewer, and a transcription service. Our guide to running AI-moderated user interviews covers the trade-offs of AI-moderated work in more depth.
• The Compass AI co-pilot for research design and analysis. Compass is positioned as an in-platform assistant that helps researchers draft surveys, refine question wording, and synthesize results into stakeholder-ready summaries. For a small insights team or a marketer running ad-hoc research outside an insights function, that scaffolding is the difference between a quick study and a slow one.
• Enterprise procurement maturity at a known list price. Vendr's marketplace data lists the median Attest contract at $30,100 per year, with a range of $26,600 to $36,820. For a procurement team that needs to know whether a vendor fits an existing budget envelope, that transparency is unusual in this category and useful at the negotiating table. The trade-off: that is the entry contract, with a 12-month commit, and there is no self-serve credit-card path.

If the work is "run a 1,000-respondent concept test on US 18-34 consumers, plus 15 AI-moderated 1:1 interviews on the same panel, in two weeks, with a printable report for a brand stakeholder", Attest is solving exactly that problem with the buyer-procurement posture to back it.

Where Talkful wins

Talkful is not competing for the same buyer. It is building in a different lane on purpose. Five places where AI-powered async user research with real-time synthesis wins outright:

• Smart follow-ups expressed as configurable depth, not a fixed agent style. After a participant submits a voice, text, or rating answer, a fast LLM decides whether one or more clarifying questions would sharpen the response, then shows each as a separate full-screen step the participant can answer in their preferred mode or skip. The researcher picks the depth per question: shallow (at most one probe, for low-friction in-product feedback where dropoff matters), medium (a small chain when the answer is vague or contradicts itself), or expert (the AI keeps probing until it has the same context a senior researcher would dig out in a moderated interview: contradiction, scope, who, when, prior alternatives tried). The participant retains the right to skip on every probe. Attest Explore runs an AI moderator with its own conversational style end-to-end; Talkful exposes depth as a methodology setting the PM picks per question. Our piece on AI follow-up questions in user research goes deeper on why the depth choice belongs with the researcher.

• Synthesis that streams while the study is still collecting. Themes, mention counts, sentiment, and citation-grade quotes form as responses land, with 15-second audio clips attached to each insight card so a stakeholder can hear the exact moment that backs the theme. A product team can act on signal mid-study, share a live insights link with engineering or design, and pipe structured output (themes, quotes, audio anchors) into the tools the team and the agents they build with already use. Attest's reporting fires once fieldwork closes, which is the right shape for a sampled study against a panel; Talkful runs the synthesis loop on each response at collection time, with an aggregate Claude Sonnet pass once the participant target is hit. Our guide to synthesizing user research covers the live-loop pattern in detail.
• Self-serve under a credit card, no 12-month annual contract. Talkful Starter is $29/mo (annual) for 100 participants per month. Pro is $79/mo (annual) for 1,000 participants per month. Free is $0 for 10 participants per month. Every plan, including Free, comes with unlimited studies and unlimited workspace users, and the full AI synthesis pipeline. See the pricing page for the full table. Attest is sales-led, with a Vendr-reported median around $30,100 per year and a 12-month commit. For a small product team that needs to start research this afternoon without a procurement loop, the two are not really comparable on speed-to-first-study.
• One link, designed to live anywhere, including churn flows and internal stakeholder reviews. A Talkful study link is a standing instrument for collecting signal, not a session campaign with a start and end date. The same link works in a product help menu, on a cancel-confirmation page, in a post-onboarding email, on a marketing landing page, in a Slack community, and in an internal stakeholder review (engineering, design, support, or legal weighing in on a prototype before it ships). Every response routes through the same synthesis pipeline regardless of where it came from. Attest's primary placement is a one-off study against a recruited audience, with each project triggering the panel-sourcing and field-management flow afresh. Our guide to building a customer feedback loop covers where standing-link placements actually pay off.
• Four-modality answers, including in-line choice and rating without a separate survey product. Talkful's question types let the participant answer in voice, text, choice, or rating from inside the same study, with smart follow-ups triggered on voice, text, and rating answers. For a product team that wants a 1-to-5 satisfaction rating plus a follow-up "what felt off" voice answer, then a multiple-choice qualifier later, the modalities sit on the same canvas. Attest splits the work across Measure (surveys) and Explore (interviews) as separate products with separate fieldwork flows. For voice answers specifically, the interaction pattern is the same one billions of people already use to send voice messages on WhatsApp: a familiar shape for the participant, with no camera and no scheduled call.

If the research question is "what are my users actually trying to tell me about this product decision, by Friday", Talkful is built for that question with synthesis that streams in real time, on the users you already have.

Pricing, side by side

Attest pricing (public structure at askattest.com/pricing, with dollar figures verified via Vendr, June 2026):

• Basic: up to 50,000 credits, sales-quoted. "Getting started" tier.
• Standard: up to 100,000 credits, sales-quoted. Multiple use cases or markets.
• Elite: up to 200,000 credits, sales-quoted. Continuous insights.
• Custom / Enterprise: 400,000+ credits, sales-quoted, custom contract terms.

One credit equals one answer to one survey question from one respondent, so a 10-question survey of 500 people consumes 5,000 credits. Audience targeting is flat-priced regardless of geography. Unused credits do not roll over after 12 months, and credit top-ups are roughly 10% less cost-effective than annual plan credits. Vendr's marketplace lists the median Attest contract at $30,100 per year, with a range of $26,600 to $36,820.

Talkful pricing (public at talkful.io/pricing):

• Free: $0. Up to 10 participants per month. Unlimited studies and unlimited users. Full AI synthesis pipeline. "Powered by Talkful" footer on participant pages.
• Starter: $29/mo (annual) or $39/mo (monthly). 100 participants per month, unlimited studies and users, ask AI anything about your study, CSV / JSON export, full AI analysis, email support.
• Pro: $79/mo (annual) or $99/mo (monthly). 1,000 participants per month shared across the workspace, unlimited studies and users, Slack integration, priority email support, no branding.

The two price models are not really comparable, because they meter different things. Attest meters credits against an audience you are buying through them: a 10-question survey of 500 panel respondents costs 5,000 credits, and the bundled panel access is most of what the credit pays for. Talkful meters completed participant sessions on a study link, where the participant comes from a list the team already owns (their users, their CRM, their community): a $79/mo Pro plan covers up to 1,000 of those completions per month at the same dollar order of magnitude. For a B2C brand that needs to reach 500 US 25-34 consumers it has no list for, Attest is the only one of these two products that can do it. For a SaaS product team that wants 200 of its own users to answer five voice and rating questions this week, Talkful is roughly two orders of magnitude cheaper and ships the synthesis live.

Attest vs Talkful: which should you pick?

Neither tool is wrong for its audience. The buyer sorts the decision, almost entirely on whether the participants need to be sourced or not.

Choose Attest if:

• You need access to a B2C consumer panel you do not own (150M+ across 59 markets), with a flat cost regardless of geography
• The research method is bespoke survey design at a proper sample-frame scale (concept testing, brand tracking, ICP segmentation, message testing)
• You want AI-moderated 1:1 interviews on the same panel via Attest Explore, with reporting once fieldwork closes
• A 12-month annual contract in the ~$30K/yr range fits the team's procurement envelope
• The downstream artifact is a printable report a brand or insights stakeholder will read on a Tuesday morning, not a live insights dashboard
• You weight enterprise-grade data-quality controls (bot elimination, attention checks, panel monitoring) at the procurement stage

Choose Talkful if:

• Your research question is "what are my users actually trying to tell me about this product decision, by Friday"
• You want smart follow-ups expressed as a methodology setting (shallow, medium, or expert) per question, with the participant always free to skip
• You want themes, quotes, sentiment, and 15-second audio clips forming on the dashboard while the study is still collecting, with structured output your agents can act on
• You want a single shareable link you can place in a product help menu, on a cancel-confirmation page, in a post-onboarding email, in a Slack community, or in an internal stakeholder review before shipping a prototype, with every response routed through the same synthesis pipeline
• You want a flat workspace fee under a credit card, with no annual commitment and no procurement loop
• BYO participants is the right fit: you already have users (or stakeholders, or community), you just need to hear them

In practice, some teams will end up using both: Attest for quarterly brand or concept work against a B2C panel where the question is "what do consumers we have no other way to reach think about this new product idea"; Talkful inside the product for continuous signal on weekly decisions, in churn and cancel flows for the highest-honesty feedback a product team will ever get, and on internal stakeholder reviews where engineering, design, support, or legal weigh in before shipping. The two products solve adjacent jobs on different cadences for partially overlapping buyers. The "vs" framing implies a single-winner shootout. The real question is which research you are actually doing this week.

If you are still unsure, the Talkful Free plan is the honest way to check. Ten participants per month, full AI synthesis, no credit card. If the work is unambiguously "run a 1,000-respondent concept test on a US consumer audience my team does not have", the answer is Attest, not Talkful.

FAQ

Is Attest a direct competitor to Talkful?

Partially. Both ship AI-moderated interviews (Attest Explore on Attest's side, smart follow-ups on Talkful's side) and both produce structured output. The overlap is real but narrow. Attest is fundamentally an enterprise B2C consumer insights platform built around a 150M+ recruited panel and a survey-design suite (Attest Measure), with AI-moderated interviews (Attest Explore) and a Compass AI co-pilot bundled on top. Talkful is a self-serve async user research tool for product teams running on their own users (BYO participants), with researcher-picked probe depth, four answer modalities, and synthesis that streams while the study is still collecting. The two compete most directly only when a B2C product team has both problems (reach unknown consumers and synthesize known users) and picks one for each.

Does Attest do AI-moderated interviews? Does Talkful?

Both do. Attest Explore is a recently launched AI-moderated 1:1 interview product that runs on the same Attest panel, with results returning in days and automated reporting once fieldwork closes. Talkful runs AI-powered async interviews with smart follow-ups: after a participant submits a voice, text, or rating answer, a fast LLM decides whether one or more clarifying questions would sharpen the response, then shows each as a separate full-screen step the participant can answer in their preferred mode or skip. The researcher picks the depth per question (shallow, medium, or expert) as a methodology setting. The two interaction patterns differ in the unit: Attest's agent runs a full 1:1 session on a recruited panelist, Talkful's runs at the answer level on the team's own users, with depth controlled by the researcher.

How do pricing and value compare?

They meter different things, so the comparison is less direct than it looks. Attest is sales-led, with a Vendr-reported median around $30,100 per year (range $26,600 to $36,820) on a 12-month commit, billed against credit allowances of 50,000 to 400,000+ credits where one credit equals one answer per question per respondent. The credit pays mostly for bundled panel access. Talkful is workspace-flat: Free $0 (10 participants/mo), Starter $29/mo annual (100/mo), Pro $79/mo annual (1,000/mo), with no contract and no procurement loop. For a B2C brand running quarterly concept tests against an unknown audience, Attest's all-in number is reasonable for the panel reach it bundles. For a SaaS product team running weekly research on its own users, Talkful is roughly two orders of magnitude cheaper because no panel is being purchased.

Which one is better for concept testing or brand tracking?

Attest, in almost every case. Concept testing and brand tracking depend on a properly sampled audience with statistical rigor: target demographics, attention checks, sample size, repeat panel for tracker work. Attest is built for that, against a 150M+ panel with flat pricing across 59 markets and transparent data-quality controls. Talkful does not solve that problem: there is no panel and no statistical sample frame, only the users a team already has. If a research question genuinely needs nationally representative consumers, that is an Attest job. Our guide to concept testing covers when the sample-frame question is the deciding factor.

Can either tool feed the agents I build with Claude Code?

Both produce structured output downstream code can consume. Attest delivers reporting through its dashboard and PDF / data exports against a known credit allowance, and the Compass co-pilot lets researchers summarize results inside the platform. Talkful exposes structured study output (themes, quotes, citations, audio anchors) through the dashboard and CSV / JSON exports, designed for the agents the team builds to act on, with Slack notifications as the published delivery channel today. Neither product ships a hosted MCP server over their live synthesis layer as of this writing. The integration shape is similar; the underlying evidence is different (panel-recruited survey and interview data vs in-context answers from the team's own users on a research link).

Can I run both Attest and Talkful?

Yes, and that is the most defensible setup for a team that needs both jobs done. Attest on a quarterly B2C concept test or brand tracker where the right audience is consumers the team has no way to reach, and the artifact is a printable report a brand stakeholder will read. Talkful inside the product for continuous async signal on weekly decisions, in churn and cancel flows for the highest-honesty feedback a product team will ever get, and on internal stakeholder reviews where engineering, design, support, or legal weigh in before shipping. The tools solve adjacent jobs on adjacent cadences. The "vs" framing is more useful for SEO than for actual purchasing decisions.

The honest answer to "Attest vs Talkful" is that the buyer almost always settles it once they write down who needs to answer the next research question. If the participants are 500 US consumers in a specific age band the team has no list for, that is an Attest problem. If the participants are 200 of the team's own users, or a cancel-page visitor who just downgraded, or one of the team's stakeholders weighing in on a prototype before launch, with synthesis streaming back as the answers land, that is a Talkful problem. Both products are right about their buyer. The expensive mistake is buying the wrong one for the research you actually need to do.