{"citations":{"source_mix":{"company_owned":36,"independent":8,"unclear":0},"sources_referenced_by_questions":0,"support_mix":{"direct":27,"partial":3},"total_sources":44,"unique_domain_count":18},"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","perplexity"],"predicate":"final_consensus_rank","qualifier":"AI Competitor Intelligence Solutions for Understanding Why Brands Get Recommended","subject":"Similarweb AI Citation Analysis","unit":"rank","value":6},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-18","platform_support":["anthropic","perplexity"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"Similarweb AI Citation Analysis","unit":"platforms","value":2},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-18","platform_support":["grok","google"],"predicate":"fit_rating_count","qualifier":"strong","subject":"Similarweb AI Citation Analysis","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":"Similarweb AI Citation Analysis","unit":"platforms","value":3},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-18","platform_support":["deepseek"],"predicate":"fit_rating_count","qualifier":"mixed","subject":"Similarweb AI Citation Analysis","unit":"platforms","value":1},{"claim_id":"claim-007","confidence":"verified","observed_at":"2026-09-18","platform_support":["kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"Similarweb AI Citation Analysis","unit":"platforms","value":1}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":1.5,"best_rank":1,"entity_id":"entity-001","entity_type":"company","final_rank":6,"name":"Similarweb AI Citation Analysis","platform_mentions":2,"platform_share":0.2857142857142857}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-search-audits-market-intelligence/why-brands-get-recommended/similarweb-ai-citation-analysis.json","page_url":"https://aimarketingconsensusindex.com/ai-search-audits-market-intelligence/why-brands-get-recommended/similarweb-ai-citation-analysis","report_type":"fit_review","study_id":"AIMCI-STUDY-C439330C7534","title":"Similarweb AI Citation Analysis 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.","Company-owned citations materially outnumber independent citations; do not describe company claims as independently verified.","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 15:47:19.16662+00","research_date":"2026-09-18","source_snapshot_sha256":"35350680927abf91bcdf8103cadaa07b360814789a5f156c78a49c15f6805fd1","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":36,"qualified_finalists":10,"ranking_unit":"Research platform, intelligence provider, or advisory solution"},"schema_version":4,"summary":"Similarweb AI Citation Analysis is a good fit for marketing teams that need recommendation-level visibility, prompt tracking, competitor benchmarking, and source-level citation intelligence. Two of seven platforms named it during the ranking stage (anthropic, perplexity), at an average listed rank of 1.5 and a best rank of 1. The strongest reason to consider it is that it maps the domains, URLs, and source categories cited in AI answers, which is the closest available proxy for why a brand gets recommended. The main limitation is that these metrics show observed associations, not proven…","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"}}