{"citations":{"source_mix":{"company_owned":24,"independent":31,"unclear":0},"sources_referenced_by_questions":0,"support_mix":{"direct":53,"partial":2},"total_sources":55,"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","openai"],"predicate":"final_consensus_rank","qualifier":"AI Competitor Intelligence Solutions for Understanding Why Brands Get Recommended","subject":"Scrunch Core","unit":"rank","value":8},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-18","platform_support":["anthropic","openai"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"Scrunch Core","unit":"platforms","value":2},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-18","platform_support":["grok"],"predicate":"fit_rating_count","qualifier":"strong","subject":"Scrunch Core","unit":"platforms","value":1},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-18","platform_support":["openai","anthropic","perplexity"],"predicate":"fit_rating_count","qualifier":"good","subject":"Scrunch Core","unit":"platforms","value":3},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-18","platform_support":["google"],"predicate":"fit_rating_count","qualifier":"mixed","subject":"Scrunch Core","unit":"platforms","value":1},{"claim_id":"claim-007","confidence":"verified","observed_at":"2026-09-18","platform_support":["deepseek","kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"Scrunch Core","unit":"platforms","value":2}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":5,"best_rank":5,"entity_id":"entity-001","entity_type":"company","final_rank":8,"name":"Scrunch Core","platform_mentions":2,"platform_share":0.2857142857142857}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-search-audits-market-intelligence/why-brands-get-recommended/scrunch-core.json","page_url":"https://aimarketingconsensusindex.com/ai-search-audits-market-intelligence/why-brands-get-recommended/scrunch-core","report_type":"fit_review","study_id":"AIMCI-STUDY-303A91D14A2A","title":"Scrunch Core 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.","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 15:53:36.86864+00","research_date":"2026-09-18","source_snapshot_sha256":"5fdaecfe1aab0198adfd797016bdf98e4c40d053b4beabd593607e7b64ecc66d","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":36,"qualified_finalists":10,"ranking_unit":"Research platform, intelligence provider, or advisory solution"},"schema_version":4,"summary":"Scrunch Core is a good fit for marketing teams that need prompt-level brand and competitor visibility plus citation-source analysis across four AI platforms, at a published $250 per month. Two of seven platforms named Scrunch Core during the ranking stage, a 28.6% share of included platform responses, with an average listed rank of 5.0 and a best listed rank of 5. The strongest reason to consider it is citation intelligence: URL- and domain-level citation tracking, brand/competitor/third-party source segmentation, and an Influence Score. The main limitation is coverage and gating: Core…","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"}}