AI Visibility
measured31/100
Emerging · in Digital Asset Management
measured from this brand's audit prompts
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
1
across 373 prompts
AI Share of Voice
1%
across 373 prompts
Critical Issues
4
critical + high
Shortlist Position
0/80
Not Visible · Digital Asset Management Discovery
How AI Visibility breaks down
in Digital Asset Management
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Your visibility gap
Business Adobe surfaces in 0/80 Digital Asset Management discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Adobe’s business site has strong DAM topical coverage and publicly crawlable DAM pricing pages (e.g., Experience Manager Assets pricing), so it can be cited for “what is DAM” and product-feature questions. The biggest AI citation risk is discovery/shortlist visibility for DAM buyer queries (e.g., “best digital asset management software for small businesses” and “digital asset management tools for marketing teams”), where the brand is currently not appearing in your precomputed discovery prompts (0/80). Highest-ROI fix: publish first-party, evaluation-intent DAM pages that directly answer each gap query (small business, marketing teams, enterprise, e-commerce, agencies) with clear “who it’s for” blocks and crawlable comparison/alternatives content.
Based on audit of business.adobe.com · Jun 6, 2026