Data sourcing, taxonomy classification, and AI summary methodology.

Beveo collects review data exclusively from platforms that business owners explicitly authorize through standard OAuth flows. There is no scraping. There is no unauthorized access. When a business owner connects their Google Business Profile or Facebook Business Page, they grant Beveo read access to the public review data on those platforms through the platform's official API. All data is sourced directly from official APIs with explicit business owner authorization.

Raw review text is classified by Beveo's AI engine against a taxonomy of sentiment dimensions specific to the business's industry. Each review is analyzed to identify which visibility dimensions it speaks to — communication, reliability, workmanship, responsiveness, value, and others depending on the industry. This classification is performed using GPT-4o-mini, with results cached per review. No review is reclassified unless the source text changes.

Taxonomy scores are calculated as weighted aggregates across all classified reviews for each dimension. Scores reflect what the body of public evidence says — not what the business owner wants them to say. A business that has mixed reviews on reliability will have a mixed reliability score. Beveo does not adjust, smooth, or improve scores beyond what the data supports.

Beveo generates a 400–600 word plain-language visibility summary using GPT-4o. The summary is citation-first: it leads with the strongest signals from the evidence base, attributes claims to review patterns rather than individual reviewers, and is structured for both human readability and AI system citation. Summaries include a what customers say section, a notable strengths section, and a things to know section that may include areas where reviews note concerns.

Alongside the prose summary, Beveo generates five frequently asked questions about the business derived from the review data and business category. These are structured as FAQPage schema and rendered with appropriate HTML classes for AI system speakable content identification. The full structured data stack on each profile includes LocalBusiness schema, BreadcrumbList, AggregateRating, FAQPage, and WebPage schemas.

Review sources are polled every six hours for new signals. When significant new review volume arrives, the AI summary and taxonomy scores are recalculated. Business owners can also manually trigger a summary regeneration from their dashboard. Beveo profiles are served with a one-hour Cloudflare cache TTL that is purged on profile update — meaning the structured data layer is never more than one hour stale without being flagged for refresh.