Coava Coffee Roasters: AI visibility

How often four AI assistants named Coava Coffee Roasters of Portland, OR when asked buying-intent questions about coffee roasters and cafes, against two competitors. Gaps like these put an estimated $73–$520 a year at stake for a typical US hospitality business.Measured 2026-08-03 against coavacoffee.com, using the method behind the AI Visibility Study.

The cost of not being visible

$73–$520 / yr

modelled for a typical US hospitality business

This range prices today's measured AI-referred share — and that share is climbing: consumer use of AI for local business recommendations grew from 6% to 45% in a year (BrightLocal, 2026), and among $150k+ households AI has overtaken Google as the starting point for local searches (Yext, 2026).

Model it for your annual revenue

Estimated using Census averages and AI traffic models, not actual company financials.

Coava Coffee Roasters 91 / 100 Named in 29 of 32 answers, across four assistants
Keeper Coffee 22 / 100 Named in 7 of 32 answers, across four assistants
Barista 9 / 100 Named in 3 of 32 answers, across four assistants

Key takeaways

Coava appears in Claude, Gemini, and Perplexity results at 8 times each, compared to competitors' maximum of 3 appearances in any single model.
The company maintains presence across all queried AI systems with zero failed queries, indicating consistent indexing.
Coava's 5 ChatGPT appearances exceed Keeper Coffee's 3 and substantially exceed Barista's 0 in that model.

How to improve

Coava Coffee Roasters occupies an exceptionally strong position with a 91/100 visibility score, appearing in 29 of 32 sampled AI assistant responses across buying-intent queries—a dominance that reflects sustained authority in Portland's specialty coffee market. The technical foundation is solid: robots.txt is correctly configured, structured data includes LocalBusiness and Organization markup, Open Graph tags are present, and the XML sitemap is discoverable. These elements ensure that AI crawlers ingest site information reliably, removing friction from the indexing process. However, the company's commanding lead over competitors (Keeper Coffee at 22/100, Barista at 9/100) must be preserved through continuous investment in topical authority rather than assumed to be permanent. The visibility gap suggests that sustained mentions in AI responses correlate directly with third-party brand authority—reviews, citations, and editorial references that reinforce Coava's expertise in specialty coffee roasting, single-origin sourcing, and retail cafe operations across Portland. To maintain this position over the next 12 months, the company should focus on deepening its association with the specific service lines these queries imply: single-origin coffee beans, coffee roasting education, cafe seating and espresso service, and Portland-specific coffee sourcing narratives. Without consistent third-party validation and content that reinforces these specific competencies, AI assistants' citation patterns will naturally drift toward emerging competitors over time.

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