{"citations":{"source_mix":{"company_owned":27,"independent":18,"unclear":0},"sources_referenced_by_questions":0,"support_mix":{"direct":39,"partial":5},"total_sources":45,"unique_domain_count":25},"claims":[{"claim_id":"claim-001","confidence":"verified","observed_at":"2026-09-17","platform_support":["anthropic","deepseek","google","grok","kimi","openai","perplexity"],"predicate":"platforms_analyzed","qualifier":"valid included platform responses","subject":"Best AI Citation Architecture Audits","unit":"platforms","value":7},{"claim_id":"claim-002","confidence":"verified","observed_at":"2026-09-17","platform_support":["deepseek","openai"],"predicate":"final_consensus_rank","qualifier":"AI Citation Architecture Audits","subject":"Scrunch","unit":"rank","value":4},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-17","platform_support":["deepseek","openai"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"Scrunch","unit":"platforms","value":2},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-17","platform_support":["openai","grok"],"predicate":"fit_rating_count","qualifier":"strong","subject":"Scrunch","unit":"platforms","value":2},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-17","platform_support":["anthropic","perplexity","google"],"predicate":"fit_rating_count","qualifier":"good","subject":"Scrunch","unit":"platforms","value":3},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-17","platform_support":["deepseek"],"predicate":"fit_rating_count","qualifier":"mixed","subject":"Scrunch","unit":"platforms","value":1},{"claim_id":"claim-007","confidence":"verified","observed_at":"2026-09-17","platform_support":["kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"Scrunch","unit":"platforms","value":1}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":4.5,"best_rank":3,"entity_id":"entity-001","entity_type":"company","final_rank":4,"name":"Scrunch","platform_mentions":2,"platform_share":0.2857142857142857}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-citation-authority-building/architecture-audits/scrunch.json","page_url":"https://aimarketingconsensusindex.com/ai-citation-authority-building/architecture-audits/scrunch","report_type":"fit_review","study_id":"AIMCI-STUDY-127D9BF4A54C","title":"Scrunch for AI Citation Architecture Audits: 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":"2026-09-17 12:15:57.688033+00","research_date":"2026-09-17","source_snapshot_sha256":"88c0ff0b2b36e777d1744307499430241301576413a5198d74872214a89239f2","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":52,"qualified_finalists":6,"ranking_unit":"Audit company, audit service, or advisory provider"},"schema_version":4,"summary":"Scrunch is a strong fit for the measurement and diagnosis portion of an AI Citation Architecture Audit, but not a complete audit-and-implementation service. Two of the seven platforms that evaluated fit named Scrunch during ranking discovery (openai, deepseek), and it placed as high as rank 3. Its strongest asset is source-level citation mapping: cited URLs and domains broken down by brand, competitor, and third party, with filtering across prompts, platforms, personas, funnels, and geographies. The main limitation is that Scrunch is a monitoring and analytics platform — public evidence does…","target_buyer":"Companies seeking AI Citation Architecture Audits across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI citation and authority building","category_criteria":["Map first-party and third-party sources","identify which domains influence AI answers","compare competitor citation networks","detect missing authority sources","evaluate source concentration","and receive a prioritized plan for improving its citation environment"],"geography":"United States","slug":"best-ai-citation-architecture-audits","title":"Best AI Citation Architecture Audits","use_case":"AI Citation Architecture Audits"}}