Buyer intelligence for e-commerce

Check the product. Research the next edit.

Start with one product URL, with no store connection. Add buyer research when you need content inputs.

Mechanism / Category Scan

Find the questions a category brings.

Category Scan: 5 credits for a Voice Map.

A Category Scan organizes buyer questions, concerns and comparisons into a Voice Map. Use the research to choose what your product page needs to explain.

Voice Map, Voice Profile and Product Profile
Voice Map
Category buyer research from a Category Scan, organized into buying criteria, objections, comparisons, use cases and other entity types.
Voice Profile
Buyer research for one product from a Product Scan, including reported strengths, weaknesses and unmet needs.
Product Profile
Your product facts, such as specifications and features. These facts ground claims in a draft and are separate from buyer research.
Voice Map / category research

Everyday backpacks

Entity type
Buying criteria
Buyer concern
Separate space for work gear and gym clothes
Source context
Review the linked conversation and its collection date in your scan
Draft direction
Explain the compartments using verified product facts
Illustrative research layout. The buyer concern is an example, not a customer quote.
Mechanism / Product Scan

Read what buyers say about one product.

Product Scan: 8 credits for a Voice Profile.

A Product Scan returns buyer research about one product. A Listing Attack Plan combines that Voice Profile with a Voice Map and your product facts.

Voice Profile / product research
Reported strengths
Check which uses buyers describe
Reported weaknesses
Read the source and the product context
Unmet needs
Compare the need with your verified specifications
Product Profile
Keep your own product facts separate from buyer reports
Field guide for product research. No measured product result is shown.
Content

Choose the draft you need.

Six content types, each with its own credit cost.

Choose an output from your buyer research, then review its product claims. You publish through your existing tools.

Generation credits
Generation is separate from scan and product-check credits.
Evidence and limits

A sourced draft still needs your review.

Research supplies context, not a recommendation guarantee.

A re-check shows changes in recorded answers, without proving that your edit caused them. The composite score is unavailable pending calibration.

Before publishing
Sources
Read the context behind each buyer entity
Product facts
Remove claims your specifications do not support
Re-check
You start it, using the same frozen product questions
Read the methodology
Public Allbirds evidence and its limits are documented on /methodology/.
Questions

Before you take the next step

Read how research, drafts and checks fit together.

Why pay for this if I already use an AI writer?

A Category Scan produces a Voice Map. A Product Scan produces a Voice Profile. Generation uses buyer research to draft content for review. Inspect the buyer research that informs the draft.

Does this step prove a content effect?

A re-check shows what changed in the recorded answers. It does not show that your content caused the change.

Next action

Start with your product URL.

Try a free check, then plan your paid work.

Choose your check
Free checker
ChatGPT only, up to 3 questions, no account, directional, 200/day sitewide.
Paid check
3 credits. Charged only when at least one engine completes all six questions across three waves.
Trial
7 days, 10 credits.
You start every re-check. Research and generation use separate credits.