Start with buyer questions
Citestra drafts category, comparison, problem, and use case prompts from your public pages. Your team reviews which questions are relevant before a scan.
Measure brand mentions and recommendations across approved buyer questions in OpenAI, Gemini, Perplexity, and Claude API responses. Follow every trend back to the answers behind it.
Provider API observations. No placement guarantees.What was observed → what your site says → what to check next
A traditional rank report cannot show whether an AI answer names your brand, recommends a competitor, or cites your site. Citestra runs approved prompts repeatedly, records eligible responses and shows the sample size behind each rate. You can inspect the actual observations instead of treating one answer as a market trend.
One connected workflow gives your team the context to move from observation to a useful next step.
Citestra drafts category, comparison, problem, and use case prompts from your public pages. Your team reviews which questions are relevant before a scan.
See mention and recommendation rates by provider and model, with successful observations, failures, and skipped work visible.
Review which competing brands appear in the same responses and which prompt groups expose an opportunity.
Repeat an approved prompt set over time. Citestra flags changes in prompts, models, and methodology that limit comparison.
Start with public evidence, then give every change a clear reason and a fair follow-up.
Read the measurement methodologyCrawl a bounded sample of public pages to establish what your site currently says.
Choose buyer questions that reflect the category and decisions you care about.
Open responses, provider details, rates, and competitive appearances.
Review comparable cohorts after your team changes a page or message.
It is the observed presence of your brand in responses to your approved prompts, measured through configured provider APIs. It is not a claim about every consumer chat or search session.
No. Answers can vary across providers and repeated runs. Citestra shows counts and sample sizes so you can assess the strength of a pattern.
You can inspect the underlying responses and methodology identity. A change in rate does not prove that a particular edit caused it.
Run a bounded audit of public pages and review the evidence before you make a change.