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E-commerce & DTC

Win the product questions that shape purchase decisions.

Measure which products and competitors AI recommends, then improve the product facts, comparison evidence and third-party signals behind those answers.

Start free trial See the platform
High-intent prompts Purchase and comparison
Evidence focus Product facts
Primary surfaces Product and collection
Outcome Recommendation share
What this team needs

Focus the GEO program on decisions that matter.

Measure which products and competitors AI recommends, then improve the product facts, comparison evidence and third-party signals behind those answers.

01

Product discovery

Track category, use-case and “best for” questions before they become invisible demand.

02

Comparison evidence

See which attributes, reviews and independent sources support the brands AI recommends.

03

Catalog consistency

Align product details, structured data and third-party descriptions across the discovery journey.

Operating model

A practical path from signal to action.

Keep measurement comparable while giving each finding supporting evidence and a next check.

01
Find recommendation gapsSeparate questions where the brand is absent, mentioned or actively recommended.
02
Trace cited product evidenceIdentify product, collection, review and editorial pages shaping the answer.
03
Prioritize commercial impactWeight category, comparison and purchase prompts above broad awareness questions.
Illustrative product evidence

See the question, answer status and evidence together.

Sample UI demonstrates the evidence depth of a formal project.

InsightWonder / E-commerce & DTC Sample data

Visibility evidence

Last 30 days
AI visibility 34% +4%
Mention rate 42% +6%
Share of voice 31% +4%
Cited pages 27 +9
Buyer question Brand status Evidence
Best modular sofa for a small apartment Gap Competitor review
Most durable washable sofa under $2,000 Mentioned Product page
Low-VOC sofa for families Recommended Guide + review
Related

Keep exploring

Product Explore the complete platform See how measurement connects to content and distribution. Open resource → Tool Run an AI Visibility Snapshot Get a limited sample before creating a formal project. Open resource → Guide Build a GEO measurement framework Define prompts, markets, evidence and review cadence. Open resource →
FAQ

Questions teams ask before they start

Does a snapshot replace onboarding?

No. A snapshot is a limited sample. A formal project still needs confirmed markets, competitors and monitored prompts before continuous measurement begins.

Will snapshot data be charged twice in the App?

Not by default. Claimable snapshot results can be inherited, while a new formal run starts only after onboarding is confirmed.

Can teams measure more than one market?

Yes. Markets and languages should be treated as separate measurement segments so results remain comparable.

How long before results are meaningful?

A single run gives a baseline. Trends need several runs, because one sample cannot separate a real change from model variance.

What is actually needed to get started?

One domain. The brand profile, traceable facts and buyer questions are generated from it and stay editable before any formal run.

Who on the team uses this day to day?

Usually whoever owns content and organic growth. The measurement side needs no engineering work, and publishing always stops at a human approval step.

From signal to action

Turn AI visibility into a repeatable growth system.

Create a project, confirm your market and start measuring the questions that matter.

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