Portfolio visibility
Compare business units, products and brands without reducing performance to one blended score.
Give brand, communications, SEO and leadership teams one measurable view of how your organization appears across AI answer engines—and where intervention is required.
Move from isolated answer screenshots to a repeatable intelligence workflow connected to real brand and growth decisions.
Compare business units, products and brands without reducing performance to one blended score.
Surface inaccurate, outdated or risky narratives before they spread across multiple AI models.
Benchmark visibility, position, sentiment and citations against the competitors shaping each market.
Translate AI answer data into clear executive summaries, trends and prioritized actions.
Keep every insight connected to a question, an answer, a source and a next action.
Track corporate, product and sub-brand visibility in separate workspaces while maintaining a consistent measurement framework.
Review the exact answer context behind negative framing, incorrect claims and emerging category narratives.
Compare how the same questions are answered across markets, models, products and competitor sets.
Configure the scope around the brands, people, questions and markets your team is accountable for.
Configure the AI models that matter to each brand, audience and market.
Track discovery, comparison, reputation and buying-intent questions aligned to enterprise priorities.
Identify the publications, review sites, communities and owned pages influencing AI answers.
Create useful outputs for leadership, brand, SEO, communications and product stakeholders.
Structure brands, competitors, markets and reporting around your operating model.
Support tailored update frequency, access requirements, reporting and service levels.
Yes. Enterprise configurations can be structured around multiple brands, products, markets and competitor sets, with reporting aligned to the teams responsible for each area.
Yes. Question sets can be configured by brand, category, language, market and strategic objective so the data reflects the decisions each team needs to make.
Custom enterprise configurations can include daily updates and tailored service levels. The final cadence depends on model coverage, question volume and reporting requirements.
Yes. Detailed answer and citation data can be translated into concise visibility, reputation and competitive summaries for senior stakeholders.
See how MentionedBy AI can be configured around your team, brand portfolio and reporting requirements.