Adobe Brand Visibility Features

Prove AI Visibility Investment Impact

Show leadership the impact of your AI visibility work. Measure the effect of your content deployments, site optimizations, and connect visibility improvements to traffic, conversion, and revenue where data support it. Then, scale what works across the AI platforms you track.

Measure impact on KPIs

Treat each of your content deployments and site optimizations like an experiment. Set a baseline and measuring mentions, citations, and visibility against it, to help distinguish likely lift from noise and inform what to do next.

Pre-launch baselines. Capture where you stand before changes go live, giving every result a clear point of comparison.
Tracked lift. Track results over time to see whether changes in visibility coincide with your optimizations.
Next steps. Get clear results and recommended actions for each individual change.
Shared outcomes. Show content, web, PR, and demand teams the results associated with their work.

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Conversion and revenue analytics

Understand your estimated opportunity and how much of it your brand captures — from the topics and prompts shaping customer demand, the mentions and citations in AI answers, to the referral traffic, conversions, and revenue that follow.

Market intelligence. Measure against a broader market view, not just the prompts you track, with Semrush prompts and topics that cover conversations your brand is a part of.
Funnel connection. Trace the mentions and citations to engagement and conversion data in Adobe Analytics to analyze how they relate.
Platform performance. Compare AI platforms by what they convert, not just the traffic they send.
Top-converting citations. See which AI-cited content is associated with higher conversions, and double down there.
Familiar reporting. Estimate the return on your visibility investment in Adobe Analytics rather than building a new reporting silo.

Learn more about Adobe Customer Journey Analytics

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AI search analytics

Give analytics teams a broader view. Bring AI agent activity into Adobe Analytics or Customer Journey Analytics alongside paid, social, and web, so leaders can compare channels and decide where the next marketing dollar goes.

Activity measurement. Measure aggregated, non-PII AI agent activity by source, right next to your traditional channels.
Optimization opportunities. Identify content that AI agents use heavily but that isn't converting human visitors.
Targeted issue fixing. Prioritize fixes for revenue-critical pages where AI requests fail, so engineering can start with the pages that cost you the most.
Feedback Loop. Feed performance data back into Brand Visibility, to help refine each optimization cycle.

Learn more about Adobe Customer Journey Analytics