{"citations":{"source_mix":{"company_owned":33,"independent":1,"unclear":0},"sources_referenced_by_questions":0,"support_mix":{"direct":31,"partial":3},"total_sources":34,"unique_domain_count":9},"claims":[{"claim_id":"claim-001","confidence":"verified","observed_at":"2026-09-19","platform_support":["anthropic","deepseek","google","grok","kimi","openai","perplexity"],"predicate":"platforms_analyzed","qualifier":"valid included platform responses","subject":"Best AI Visibility Solutions for Understanding Why Competitors Get Recommended","unit":"platforms","value":7},{"claim_id":"claim-002","confidence":"verified","observed_at":"2026-09-19","platform_support":["google","grok"],"predicate":"final_consensus_rank","qualifier":"AI Visibility Solutions for Understanding Why Competitors Get Recommended","subject":"Shadow","unit":"rank","value":5},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-19","platform_support":["google","grok"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"Shadow","unit":"platforms","value":2},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-19","platform_support":["google"],"predicate":"fit_rating_count","qualifier":"strong","subject":"Shadow","unit":"platforms","value":1},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-19","platform_support":["openai","anthropic","grok"],"predicate":"fit_rating_count","qualifier":"good","subject":"Shadow","unit":"platforms","value":3},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-19","platform_support":["perplexity"],"predicate":"fit_rating_count","qualifier":"mixed","subject":"Shadow","unit":"platforms","value":1},{"claim_id":"claim-007","confidence":"verified","observed_at":"2026-09-19","platform_support":["deepseek","kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"Shadow","unit":"platforms","value":2}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":2.5,"best_rank":1,"entity_id":"entity-001","entity_type":"company","final_rank":5,"name":"Shadow","platform_mentions":2,"platform_share":0.2857142857142857}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-visibility-llm-monitoring/why-competitors-get-recommended/shadow.json","page_url":"https://aimarketingconsensusindex.com/ai-visibility-llm-monitoring/why-competitors-get-recommended/shadow","report_type":"fit_review","study_id":"AIMCI-STUDY-ED948DE8DB01","title":"Shadow for AI Visibility Solutions for Understanding Why Competitors 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.","Platform-reported research dates differ from the authoritative run date; disclose this as a methodology limitation.","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":"2026-09-19 14:42:40.467606+00","research_date":"2026-09-19","source_snapshot_sha256":"28e2e8590cb56814b6ce866a916cfb6a375477f422c8690942a6639d0ea13471","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":41,"qualified_finalists":10,"ranking_unit":"Software, service, or advisory solution provider"},"schema_version":4,"summary":"Shadow is a good fit for teams that want managed, cross-engine analysis of why competitors get recommended, provided they accept vendor-reported evidence and resolve conflicting pricing. Two of seven platforms named Shadow during ranking discovery, and it finished fifth overall. Its strongest asset is a narrative graph that ties AI citations to source pages, media, search, and social signals, then routes findings into GEO content and authority work (, -1). The main limitation is verification: nearly all evidence is company-owned, pricing conflicts across pages, and historical benchmarking…","target_buyer":"Company or marketing team seeking AI Visibility Solutions for Understanding Why Competitors Get Recommended","topic":{"base_category":"AI visibility and LLM monitoring platforms","category_criteria":["A solution that can measure recommendation gaps","identify the prompts where competitors win","analyze the citations and source architecture surrounding those answers","benchmark competitors historically","and help identify actionable reasons for the difference"],"geography":"United States","slug":"best-ai-visibility-solutions-for-understanding-why-competitors-get-recommended","title":"Best AI Visibility Solutions for Understanding Why Competitors Get Recommended","use_case":"AI Visibility Solutions for Understanding Why Competitors Get Recommended"}}