Make AI search
your next revenue channel
Measure your presence in ChatGPT, Perplexity and other AI answers.
Understand the evidence shaping your market position.
From market position to original evidence.
Compare your visibility, inspect buyer questions and follow the sources behind each answer. See which findings deserve a closer look.
Track buyer questions
Understand the source,
the agent and the visit
Review findings. Take action.
Compare your category with verifiable evidence.
11Engines
2Scope
Defined
Content creation & refresh
Build from your category data
The source records include ChatGPT and Perplexity responses. The model is recorded with each original answer.
Fact check model statements
Keep the supporting source visible
Select a task to inspect the next step.
Actionable findings
Ready for your team to review
Agent analytics
Crawler visits, pages and response status.
Crawler logs
Top pages
Response status
Inspect when a crawler retrieved a page.
Connect answer evidence with source coverage.
Understand which pages a crawler could access.
Find pages that need a closer inspection.
Work with your research.
Keep the evidence attached.
Ask a question about the sample collection, inspect a finding, or download the original benchmark data.
Offsite citation research
Understand which third-party pages appear in answer evidence.
Explore ↗▤Research briefings
Bring the findings, comparison criteria and limitations together.
Explore ↗◇Content briefs
Prepare an outline your team can verify before publication.
Explore ↗◌Community sources
Distinguish community discussions from vendor-owned sources.
Explore ↗▥Search context
Inspect organic search results alongside the collected answers.
Explore ↗⌁Data access
Download the current collection and inspect its source records.
Explore ↗Prepare content that answers
a real buyer question.
Turn a category gap into a reviewable editorial brief. Organize the topic, the audience and the evidence your team needs before writing.
Content calendar
Open content agents ↗A closer look at your
market position.
Explore the product concepts behind the workspace. The controls below use illustrative data; availability and evaluation scope are agreed with your team.
Country, language and category
Define the market and the buyer context before comparing results.
Compare answer engines
Keep the engine and model visible when interpreting a result.
Select an engine to inspect the current research coverage.
Connect the evidence
Move from a result to the underlying collection.
Compare buyer perspectives
The same question can have different evaluation criteria.
Agent readiness
Inspect whether important pages can be retrieved.
Agent activity
Investigate the pages visited and the response returned.
Check what models say about you
Review product statements against a defined source of truth.
Folk pricing starts at $99/month.
Illustrative answer · not a pricing sourceCompare the model statement with the current pricing page.
The sample source lists a different plan and billing basis. Verify plan, seat count and billing period before deciding whether the answer is accurate.
Frequently asked questions
Understand the evaluation, the data and the scope before you start.
Have a specific category in mind? Talk to us ↗
What does Yute measure?
Yute evaluates how vendors appear in collected LLM answers and researches the evidence behind their positioning. Product assessments and model visibility are presented separately.
Can I inspect the original answers?
The identity collection includes the original prompt, engine, model and full response text. Open the benchmark’s data page to inspect the collection.
What is available today?
The published identity verification evaluation uses the collection from 19 October 2026. The interactive previews on this page use illustrative data. Additional categories and recurring monitoring can be discussed with our team.
Which engines were used in the identity collection?
ChatGPT and Perplexity. The collection contains six ChatGPT responses and five Perplexity responses. One additional Perplexity call failed and is disclosed in the methodology.
Do named prompts affect the results?
Yes. Some comparison prompts explicitly name vendors. Their results must be interpreted separately from unaided discovery prompts; this limitation is disclosed in the evaluation.
Can Yute guarantee a higher ranking?
No. Model outputs vary. Research can identify gaps and support better decisions, but improvement must be measured through comparable future collections.
Can you evaluate our category?
Contact us with your website, category and competitors. We will define the buyer questions, engines, collection scope and deliverables with your team.
Are the agents on this page connected to a live service?
These are interactive product previews. Chat, editorial briefs and review tasks run locally with sample data. They do not collect new model responses or publish content.
Know where buyers find you.
See the answer, the shortlist and the evidence behind your position.