Share of answers↗ +9 vs Coastline
86%The AI visibility and portrayal platform.
Monitor how ChatGPT, Claude, Gemini, Google AI Overviews, Google AI Mode, Grok, and Perplexity describe you. Trace the evidence behind the story, decide what to do next, and keep monitoring aligned with a changing world.
One connected evidence trail
Keep the story connected from measurement to action.
Generative Pulse keeps the question, answer, source, finding, recommendation, and outcome in one evidence trail. Teams can work together without reducing AI portrayal to a rank or a screenshot.
Monitor
Ask controlled questions across systems and contexts.
Understand
Measure AI portrayal with the SEEN Framework.
Trace
Inspect the answers and sources behind the portrayal.
Act
Prioritize evidence-backed work across teams.
Adapt
Change the monitoring strategy when the world changes.
Measure your complete AI portrayal.
Share of Answers tells you whether AI includes you. Evaluation, Error Rate, and Narrative tell you what it says when it does. Together, they define your AI portrayal.
Where are we visible in the moments that matter?
How does AI assess us on the criteria customers use?
Are its claims accurate and our tracked messages aligned?
Share of Answers
Appears in the right moments
Evaluation
Evaluated as a supported choice
Error Rate
Claims that conflict with supplied facts
Narrative
Tracked messages carry forward
See the evidence behind AI’s story.
Trace portrayals to exact answers, claims, citations, cited passages, coverage, and source dates; then see where the evidence environment needs to change.
Which sources support this portrayal?
Is the cited information current and on-message?
Which outlets and journalists can help close the evidence gap?
Give every insight a next move.
Prioritize the portrayal gaps that matter, generate an evidence-backed brief, assign responsibility, and coordinate action across earned media, owned content, technical access, and monitoring strategy.
Which finding deserves attention first?
What action is supported by the evidence?
Who should own it, and how will we measure the outcome?
Your monitoring should change when the world does.
Use real-conversation demand and media data to detect emerging questions, changing language, competitors, and concerns, then evolve your monitoring strategy with your team’s approval.
What are people beginning to ask AI?
Which media narratives or competitors are emerging?
What should we add, remove, or revisit in our monitoring strategy?
Every conclusion should survive the next question.
What changed?See the metric, context, and comparison.
Why do we believe it?Open the exact answers, claims, citations, and sources.
What happens next?Assign the action and keep measuring the intended outcome.