Choose the questions that matter
Organise prompt themes around your audience, products and competitors. Record what was asked and which method supplied the observation so comparisons have context.
AI search visibility
Inspect the prompts, responses and sources behind an AI visibility observation. Serse keeps collected evidence, direct experiments and manual observations distinguishable.
14-day trial · No card required
Organise prompt themes around your audience, products and competitors. Record what was asked and which method supplied the observation so comparisons have context.
Read the available answer evidence and cited sources. Review successful and failed sample counts before interpreting a summary or comparing your brand with another.
Investigate missing explanations and relevant content opportunities. Prepare a content task or experiment, then collect comparable evidence when evaluating what followed.
The workflow
Choose a prompt set and collection method.
Read the available answers and source evidence.
Prepare work and compare compatible observations.
Worked example
A business wants to know whether answers to a specific service question mention its brand. Inspect the returned samples and citations before deciding which explanation on the site needs work.
Illustrative workflow. This is not a customer result.
Before you act
A direct model experiment is not the same as observing a consumer search product. Coverage varies by provider, method and available samples; no placement in an AI answer is guaranteed.
Read the help guide →No. Results cover the selected prompts, collection method and returned samples. Responses can vary over time and across interfaces.
Keep methods separate unless their conditions are compatible. Serse distinguishes provider observations, direct experiments and manual evidence rather than presenting them as one interchangeable score.
Connect your site, check source freshness and inspect the first supported opportunity.
14-day trial · Explicit paid checkout