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"consumer_authority_score": 57.0, "authority_band": "Source-backed candidate", "ai_visibility_score": 22.8, "ai_visibility_evidence": "32 checks / 0 mentions", "sales_volume_public": 21790000.0, "sales_transactions_public": 34, "review_count_public": 53, "average_rating_public": 4.9, "profile_url": "directory/rachael-sanderson/index.html", "recommendation_tier": "ranked_shortlist", "trust_gate": "pass" } ] }, "ranking_lenses": [ { "layer": "Highest AI Visibility", "consumer_question": "Among qualified agents and teams, who is easiest for AI-assisted search to find, connect, cite, and explain?", "primary_sort": "ai_visibility_score", "eligibility": "Current production proof, the public review minimum, exact entity identity, source quality, and a completed AI Visibility score.", "public_use": "The default public rank order for separate team and individual lists." }, { "layer": "Consumer Authority", "consumer_question": "Which qualified candidates have the strongest supporting public-authority context?", "primary_sort": "consumer_authority_score", "eligibility": "Available for qualified public rows as supporting comparison context.", "public_use": "A supporting lens for deeper comparison; it does not replace the AI Visibility rank order." }, { "layer": "Highest Production", "consumer_question": "Who has the strongest public production footprint?", "primary_sort": "production_metric_value", "eligibility": "Durable production proof from RealTrends, brokerage, credible press, or equivalent source.", "public_use": "Useful for sellers and high-stakes buyers who want market activity proof before checking fit." }, { "layer": "Most Reviewed", "consumer_question": "Who has the strongest public service and reputation footprint?", "primary_sort": "review_count", "eligibility": "Public review-count proof from a consumer-facing source without copying restricted review text.", "public_use": "Useful for consumers who want service-volume signal, not a standalone quality claim." } ], "editorial_boundary": "Ranking placement cannot be purchased. Factual corrections may be reviewed, and model calibration may evolve as AI search behavior changes. Candidate-specific scoring changes require source-backed evidence and documented trust-gate updates.", "recognition_context": { "market": "Denver", "slug": "denver", "context_count": 3920, "geography": "Denver-Aurora-Lakewood, CO", "reference_period": "May 2022", "source_url": "https://data.bls.gov/oes/#/area/0019740/2022", "status": "latest_available_published_estimate", "caveat": "Later local estimates are suppressed; May 2022 is the latest published metro estimate available for this occupation.", "published_team_positions": 25, "published_individual_positions": 25, "source_backed_candidate_pool": 50, "interpretation": "Market-scale context only; not the REAI ranking denominator or a claim that every professional was evaluated." } }