Honestly — Market Research & Product Selection AI

Before you start

• Choose one bounded, reversible market or product decision brief to test.
• Prepare a precise research question, market and date boundaries, product economics, and rejection criteria, removing sensitive fields the trial does not need.
• Record the current source coverage, estimate error, margin viability, and decision confidence, then name the approver and stop conditions.

Operator-ready setup plan

1. Start with one real task

   Do not begin with a store-wide rollout. Pick one reversible task where Honestly can help you research demand, competitors, customer needs, and product opportunities.

   Checkpoint: The input boundary, owner, and one primary measure from source coverage, estimate error, margin viability, and decision confidence are written down.

2. Prepare the input and guardrails

   Collect only the a precise research question, market and date boundaries, product economics, and rejection criteria needed for this test. Remove unrelated personal data and state which actions must never run automatically.

   Checkpoint: Every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.

3. Configure a contained trial

   Follow the official setup path, connect the fewest accounts possible, and grant only the permissions this test needs. Let Honestly recommend before it acts.

   Checkpoint: You have a market or product decision brief that a responsible operator can inspect, and it stayed inside the approved boundary.

4. Review it against a baseline

   Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.

   Checkpoint: source coverage, estimate error, margin viability, and decision confidence has a pre-test baseline, and errors and exceptions are logged separately.

5. Expand in small batches with a stop rule

   Increase one batch at a time and decide in advance what will stop the rollout. Add it to the regular SOP only after it repeatedly clears the quality bar.

   Checkpoint: Wider use does not push error, complaint, or rework costs above the previous baseline.

How to test it

• Test one normal case, one edge case, and one case with a deliberately missing critical field.
• Compare the result with the pre-test baseline for source coverage, estimate error, margin viability, and decision confidence; do not record time saved alone.
• Review errors, human edits, permissions used, and unresolved exceptions before expanding scope.

Limits to account for

• We checked the public source and resource identity on 2026-07-19. That review does not cover every workflow result, and vendor performance claims are not treated as EcomAgentTools tests.
• Search volume, sales estimates, and AI summaries are signals—not proof that a product will sell profitably.
• This page reflects the review completed on 2026-07-19, not a permanent guarantee. Recheck the current documentation, pricing, and contract terms before production use.

Frequently asked questions

Key features

• Cross-platform crawling: Reddit, TikTok, YouTube, Instagram, X — verified authentic/sponsored/AI
• Product-level sentiment: per-feature opinions extracted from video transcripts and comment threads
• Trend intelligence across US, EU and Korean markets
• Affiliate intelligence: find unclaimed affiliates and likely creators to recruit
• Embeddable product-page widget (pre-release) + Chrome extension + Product Page SDK
• Source-linked scores: click any score to see creator, post and quote

Best for

Honestly best fits Product researcher, Marketplace seller, Category manager, and other teams with a defined market analysis, competitor research, and product selection validation process that want to operationalize Cross-platform crawling: Reddit, TikTok, YouTube, Instagram, X — verified authentic/sponsored/AI; Product-level sentiment: per-feature opinions extracted from video transcripts and comment threads; Trend intelligence across US, EU and Korean markets. Its practical value rests on Verification layer separates authentic opinions from sponsored/AI content; Product-SKU-level structuring instead of keyword-level listening; Affiliate recruitment angle unique among listening tools. It is a poor fit for a team expecting instant results without an owner for data, rules, and review. Validate or reject it before contracting if these constraints cross an operating boundary: sellers without social presence; teams needing immediate self-serve signup.

Pricing analysis

Current published or described options are Early access: Contact sales. No public amount supports a responsible value ranking. Give each sales team the same operating volume, then convert the written quotes into cost per user, order, conversation, or completed execution for a fair comparison. Complete cost also includes tracked products or markets, refresh frequency, API access, managed research, analyst review, and the margin at risk; model both normal and peak periods. A custom quote should state the billing unit, minimum commitment, overages, add-ons, implementation scope, renewal terms, and data-export path.

Pros

• Verification layer separates authentic opinions from sponsored/AI content
• Product-SKU-level structuring instead of keyword-level listening
• Affiliate recruitment angle unique among listening tools

Limitations

• sellers without social presence
• teams needing immediate self-serve signup
• Insights depend on public social data coverage; verify platform ToS compliance for your use; early access means feature set (widget/SDK) still rolling out.

Selection guidance

Document the current manual process, data sources, owner, and recovery path, then run a known product set whose prices, sources, and realized margins can be manually verified with real business data. Cover permission boundaries, null and exception data, duplicate execution, human override, third-party sync delays, export, and rollback. Also run these product checks: Test one normal case, one edge case, and one case with a deliberately missing critical field.; Compare the result with the pre-test baseline for source coverage, estimate error, margin viability, and decision confidence; do not record time saved alone.. Keep the pilot live for a complete business cycle and compare estimate accuracy, source coverage, validation time, opportunity quality, and realized margin with the pre-pilot baseline. Contract only if quality, controllable risk, and total cost all pass, and explicitly test these known constraints: sellers without social presence; teams needing immediate self-serve signup.

Published pricing

Early access

Contact sales