Change the story AI search tells about you.

Start with your Share of Answers across unbranded prompts, then add Evaluation, Error Rate, and Narrative. Compare how AI evaluates your brand on the dimensions customers use, whether its claims agree with facts your team supplied, and whether it carries the messages you chose to track. Measure all four across AI systems, audiences, locations, languages, and time and retain the exact answers as evidence.

AI answers can be shaped by owned content, earned media, reference sources, reviews, public conversations, technical access, and the context of the question, including audience and location. Inspecting cited sources and answer-level evidence helps reveal which inputs matter. A company’s website is only part of the answer.

First diagnose whether the issue is Share of Answers, Evaluation, Error Rate, or Narrative. Then act on the evidence: improve owned content, resolve technical access issues, correct stale or false claims, build earned coverage and third-party proof, or update what you monitor. Not every portrayal gap is a messaging problem; some reflect real product or operational differences.

You can sample a few answers. Generative Pulse runs configured prompts repeatedly across AI systems, audiences, locations, and time, preserving the answer-level evidence needed to identify meaningful patterns rather than one-off variation.

Generative Pulse does not control AI answers. It shows what AI says, what shapes it, and which evidence-backed actions are most likely to improve the outcome.

No. GEO and SEO overlap, but they are not the same. SEO focuses primarily on discoverability and ranking in search. GEO also considers the sources, earned media, reviews, citations, technical access, and contextual signals that shape how AI systems synthesize an answer and portray or recommend a subject.

Generative Pulse is an AI portrayal and generative engine optimization platform for marketing, SEO, content, communications, PR, and digital teams. It monitors how AI describes and recommends companies, products, people, places, and events; traces the sources shaping those answers; and converts the evidence into prioritized action.

The SEEN Framework measures AI portrayal in four parts. Share of Answers measures how often a subject appears across eligible unbranded prompts. Evaluation measures aggregate favorability and performance on customer-defined evaluative dimensions. Error Rate measures how often AI claims conflict with customer-supplied facts. Narrative measures whether AI carries the messages the customer chose to track.

Generative Pulse monitors ChatGPT, Claude, Gemini, Google AI Overviews, Google AI Mode, Grok, and Perplexity. It can independently monitor companies and brands, products, people and executives, places and destinations, and events, then compare their portrayal across audiences, locations, languages, and time.

Generative Pulse combines your organization’s goals with millions of aggregated real AI conversations every month from an opt-in panel of AI users. Its direct connection to Muck Rack media data helps detect emerging questions, changing language, relevant narratives, competitors, and concerns. It can recommend new prompts and monitoring-strategy changes for your team to review and approve.

Generative Pulse identifies and prioritizes a recommendation, generates an evidence-backed brief, and assigns an owner. Recommendations can span earned media, owned content, technical access, and monitoring strategy, with links to the exact AI answers, sources, and intended outcome behind the action.

Profound, Goodie, and Semrush offer capabilities for AI visibility and search optimization. Generative Pulse is designed around the full AI portrayal, using aggregated real-conversation demand, Muck Rack media data, adaptive monitoring, and evidence-linked recommendations for cross-functional teams. Manually prompting ChatGPT can sample individual answers, but it does not provide repeatable measurement and controlled comparisons across models, audiences, locations, and time.

Generative Pulse is a Muck Rack company. Its direct connection to Muck Rack media data helps teams relate AI answers and narrative shifts to relevant coverage, journalists, outlets, and media trends.

Generative Pulse can reduce manual research and turn monitoring into coordinated action. In an independent product review, Michael Brito reported that its prompt recommendations can save teams hundreds of hours while focusing monitoring on scenarios that matter to the business. Source: Michael Brito’s Generative Pulse product review.