Edith · Free AI Recommendation Check

See whether AI recommends you—
and whether the reasons are right.

Run five fixed questions once across up to three active model APIs. Keep the raw answers, available model identifiers, timestamps and run states, then decide whether a formal baseline is worth establishing.

Start the free check ↓Limited check · not consumer online search · not a formal baseline

Edith · free initial check

See what AI says about you

Use fixed questions to see whether your brand is mentioned or recommended—and whether the reasons are accurate.

  • 5 fixed questions
  • Each question · one sample
  • Up to 3 models
  • Raw answers retained
Enter your details to start3 required · email delivery
Additional business contextOptional · expand

Add the category, target market and buying situation to make the questions more relevant. You can also leave these fields blank.

What you will see in the report

01

Brand and product understanding

How each model describes the brand and priority product in this run.

02

Category shortlist

Whether the target appears in the visible shortlist when the question does not name it.

03

Scenario recommendation

Whether the target is recommended in a concrete buying situation and what reasons the answer gives.

04

Model differences

Compare how the active models describe, mention or recommend the target in this snapshot.

What you can do next

How the report is produced

  1. Confirm the scopeRecord the brand, priority product and buying context.
  2. Run the checkAsk the fixed questions across the active models.
  3. Retain the recordRetain the question, model, time, raw answer and run outcome.
  4. Deliver the reportSend the report link to the work email when the run is complete.

What the free report can tell you

This is a limited initial snapshot for finding signals worth validating.The check uses model APIs and does not represent every consumer-facing online OpenAI, Claude or Gemini experience. It does not analyze real-time citations, provide a formal overall score or establish causation.

For a formal decision, freeze real customer questions and add repeated runs, then bring in retrieval-capable surfaces, source analysis, competitor context and human review where scoped.