{"citations":{"source_mix":{"company_owned":20,"independent":28,"unclear":0},"sources_referenced_by_questions":0,"support_mix":{"direct":33,"partial":14},"total_sources":48,"unique_domain_count":34},"claims":[{"claim_id":"claim-001","confidence":"verified","observed_at":"2026-09-18","platform_support":["anthropic","deepseek","google","grok","kimi","openai","perplexity"],"predicate":"platforms_analyzed","qualifier":"valid included platform responses","subject":"Best AI Competitor Intelligence Solutions for Understanding Why Brands Get Recommended","unit":"platforms","value":7},{"claim_id":"claim-002","confidence":"verified","observed_at":"2026-09-18","platform_support":["anthropic","deepseek","openai"],"predicate":"final_consensus_rank","qualifier":"AI Competitor Intelligence Solutions for Understanding Why Brands Get Recommended","subject":"AthenaHQ","unit":"rank","value":4},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-18","platform_support":["anthropic","deepseek","openai"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"AthenaHQ","unit":"platforms","value":3},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-18","platform_support":["grok","google"],"predicate":"fit_rating_count","qualifier":"strong","subject":"AthenaHQ","unit":"platforms","value":2},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-18","platform_support":["openai","anthropic","perplexity"],"predicate":"fit_rating_count","qualifier":"good","subject":"AthenaHQ","unit":"platforms","value":3},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-18","platform_support":["deepseek","kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"AthenaHQ","unit":"platforms","value":2}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":3.3333333333333335,"best_rank":2,"entity_id":"entity-001","entity_type":"company","final_rank":4,"name":"AthenaHQ","platform_mentions":3,"platform_share":0.42857142857142855}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-search-audits-market-intelligence/why-brands-get-recommended/athenahq.json","page_url":"https://aimarketingconsensusindex.com/ai-search-audits-market-intelligence/why-brands-get-recommended/athenahq","report_type":"fit_review","study_id":"AIMCI-STUDY-B0F9F85AECB2","title":"AthenaHQ for AI Competitor Intelligence Solutions for Understanding Why Brands Get Recommended: AI Consensus Fit Review"},"limitations":["Use the run researchdate as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.","All included platforms evaluated fit, but platformmentions counts only platforms that named the entity during ranking discovery.","Do not resolve conflicting product names, pricing, or capabilities by guessing; describe the conflict and tell buyers what to verify.","The supplied URLs were collected from platform responses and were not independently validated by the writer stage.","Platform-reported research dates differ from the authoritative run date; disclose this as a methodology limitation.","The deterministic identity audit contains qualification notes that must be disclosed where relevant.","Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts."],"methodology":{"fit_rating_contract":["strong","good","mixed","weak","uncertain"],"included_valid_platform_count":7,"maximum_finalists":10,"minimum_mentions":2,"name":"AI Marketing Consensus Index cross-platform AI consensus analysis","platforms_included":["anthropic","deepseek","google","grok","kimi","openai","perplexity"],"platforms_queried":["openai","anthropic","deepseek","grok","perplexity","kimi","google"],"stages":["ranking_discovery","fit_assessment","normalization","editorial_synthesis"],"version":"alias-table-1"},"provenance":{"generated_at":"2026-09-18 15:44:56.887516+00","research_date":"2026-09-18","source_snapshot_sha256":"287e1c333d1a4269905c573d21f196f41e9b0c49433ae2d54e5434b5634a36ce","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":36,"qualified_finalists":10,"ranking_unit":"Research platform, intelligence provider, or advisory solution"},"schema_version":4,"summary":"AthenaHQ is a good fit for marketing teams that need to understand why AI systems recommend certain brands. Three of seven platforms named it during the ranking stage (43% of included platform responses), at an average listed rank of 3.3 and a best rank of 2. Its strongest asset for this use case is citation and source intelligence: the platform maps which domains and URLs AI engines cite, tracks prompt-level brand mentions, and benchmarks competitor share of voice across eight or more models. The main limitation is that the Athena Citation Engine (ACE) — the feature closest to explaining…","target_buyer":"Marketing teams that need to understand which sources and signals drive AI brand recommendations","topic":{"base_category":"AI search audits and market intelligence","category_criteria":["Recommendation-level data","prompt analysis","citation intelligence","citation architecture mapping","source comparisons","competitive positioning","and strategic interpretation of the differences"],"geography":"United States","slug":"best-ai-competitor-intelligence-solutions-for-understanding-why-brands-get-recommended","title":"Best AI Competitor Intelligence Solutions for Understanding Why Brands Get Recommended","use_case":"AI Competitor Intelligence Solutions for Understanding Why Brands Get Recommended"}}