Where are we visible in the moments that matter?
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.
Book a demo Read the measurement methodologyHow does AI assess us on the criteria customers use?
Are its claims accurate and our tracked messages aligned?
Move beyond AI visibility alone.
Generative Pulse measures AI portrayal using the SEEN Framework: Share of Answers, Evaluation, Error Rate, and Narrative. The combined results form a portrayal profile, so a healthy Share of Answers number cannot conceal a weak evaluation, false claim, or missing narrative.
- Measure your Share of Answers across the unbranded prompts that matter.
- See how AI evaluates and recommends you against alternatives.
- Separate false claims from narratives that are missing or contradicted.
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
Compare the same question across real contexts.
Averages can hide the moments that matter. Compare portrayal across audiences, locations, AI systems, languages, and time while keeping the underlying question controlled.
- Find the audience or market where a narrative changes.
- See which AI systems adopt your positioning and which do not.
- Track competitors against the same evaluative dimensions.
Keep the exact answer behind every metric.
Every score remains connected to the response text, context, claims, and sources that produced it. Teams can move from an executive signal to the underlying evidence without losing the thread.
- Inspect the answer instead of trusting an unexplained score.
- Filter by prompt theme, response tag, audience, and location.
- Measure changes without flattening the narrative into sentiment.
From signal to outcome
The evidence stays attached as work moves forward.
AI portrayal is the outcome. SEEN is the framework that measures it.
Define the decision
Choose the subjects, competitors, audiences, locations, and criteria that matter.
Run controlled monitoring
Collect comparable answers across AI systems and preserve their full context.
Interpret the portrayal
Find the Share of Answers, Evaluation, Error Rate, and Narrative gaps worth acting on.
Frequently Asked Questions
What is the SEEN Framework?
SEEN is Generative Pulse’s framework for measuring AI portrayal. Share of Answers measures how often a subject appears. Evaluation measures how AI evaluates and recommends it. Error Rate measures how often AI claims conflict with supplied facts. Narrative measures whether AI carries the messages the customer chose to track.
How is AI portrayal different from AI visibility?
AI visibility is one component of AI portrayal, not an alternative to it. Share of Answers measures whether a subject appears. The complete portrayal profile adds Evaluation, Error Rate, and Narrative to explain what AI says when the subject does appear.
Can Generative Pulse compare audiences and locations?
Yes. Teams can compare controlled prompts across audience personas, simulated locations, AI systems, languages, and time to identify where an otherwise similar answer changes.
What can Generative Pulse monitor?
Generative Pulse can independently monitor organizations and brands, products, people and executives, places and destinations, events, and other defined subjects.
Does Generative Pulse retain the original AI answers?
Yes. Metrics and findings remain linked to the exact tracked answers, context, citations, tags, and enrichments used to produce them.