Compare AI search surfaces
Choose from five supported AI search surfaces and compare each one without mixing unlike observations.
Measure whether AI recommends your brand
Track visibility, explicit recommendation position, sentiment, and share of voice across the prompts, AI surfaces, and countries you choose.
Know what changed—and which observation changed it
Move from an aggregate trend to the prompt, answer, mention, and source evidence behind it.
Benchmark the brands that matter
Measure competitors on the same prompts, surfaces, countries, and collection dates as your brand.
Track prompts consistently
Run a stable prompt library daily across the AI surfaces and markets that matter.
Trace the sources behind answers
Inspect the domains and URLs returned with an answer and compare their presence across prompts.
Prioritize evidence-backed actions
Turn evidence repeated across prompts, surfaces, and dates into concrete owned and earned work.
Answer-level brand and competitor analytics
Measure brand and competitor presence using comparable observations rather than a single unexplained visibility score.
Questions about AI Visibility
How does Latentline calculate AI visibility and share of voice?
Visibility is the share of completed answers that mention a tracked brand. Share of voice compares that brand's detected mentions with the tracked competitor set in the same filtered answer population.
Does every brand mention receive a ranking position?
No. Latentline assigns a recommendation position only when an answer contains an explicit ordered recommendation or list. Ordinary paragraph order is not converted into a fabricated rank.
Can agencies report AI visibility for multiple clients?
Yes. Agencies can use unlimited projects, pooled prompt allocation, team roles, CSV exports, read-only public overview links, and Enterprise API access. White-label dashboards and custom report domains are not currently offered.
Make AI Visibility measurable
Choose the prompts, AI surfaces, competitors, and markets that matter. Latentline will preserve the evidence and show your team what to address next.