{"citations":{"source_mix":{"company_owned":30,"independent":23,"unclear":0},"sources_referenced_by_questions":0,"support_mix":{"direct":47,"partial":5},"total_sources":53,"unique_domain_count":24},"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 Solutions for Measurement and Execution","unit":"platforms","value":7},{"claim_id":"claim-002","confidence":"verified","observed_at":"2026-09-17","platform_support":["anthropic","deepseek","perplexity"],"predicate":"final_consensus_rank","qualifier":"AI Citation Architecture Solutions for Measurement and Execution","subject":"Scrunch AI","unit":"rank","value":6},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-17","platform_support":["anthropic","deepseek","perplexity"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"Scrunch AI","unit":"platforms","value":3},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-17","platform_support":["grok"],"predicate":"fit_rating_count","qualifier":"strong","subject":"Scrunch AI","unit":"platforms","value":1},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-17","platform_support":["openai","anthropic","deepseek","perplexity","google"],"predicate":"fit_rating_count","qualifier":"good","subject":"Scrunch AI","unit":"platforms","value":5},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-17","platform_support":["kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"Scrunch AI","unit":"platforms","value":1}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":6.333333333333333,"best_rank":2,"entity_id":"entity-001","entity_type":"company","final_rank":6,"name":"Scrunch AI","platform_mentions":3,"platform_share":0.42857142857142855}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-citation-authority-building/architecture-measurement-execution/scrunch-ai.json","page_url":"https://aimarketingconsensusindex.com/ai-citation-authority-building/architecture-measurement-execution/scrunch-ai","report_type":"fit_review","study_id":"AIMCI-STUDY-35F8A84E20D8","title":"Scrunch AI for AI Citation Architecture Solutions for Measurement and Execution: 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.","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":"2026-09-17 20:20:41.688573+00","research_date":"2026-09-17","source_snapshot_sha256":"f86d10fcf08b93eca2be25dfa2cddbb4841d2c8c855e3cec2c03a18994dd6766","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":38,"qualified_finalists":6,"ranking_unit":"Software, service, or advisory solution provider"},"schema_version":4,"summary":"Scrunch AI is a good — not perfect — fit for AI Citation Architecture Solutions for Measurement and Execution. Three of seven platforms named it during ranking discovery (anthropic, deepseek, perplexity), a 43% share, at an average listed rank of 6.3 and a best rank of 2. Its strongest reason to consider it is company-documented prompt-level citation measurement with first-party, competitor, and third-party source mapping plus historical filtering. The main limitation is that execution infrastructure — the Agent Experience Platform (AXP), API access, and expanded model coverage — is…","target_buyer":"Companies seeking AI Citation Architecture Solutions for Measurement and Execution across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI citation and authority building","category_criteria":["Prompt-level citation measurement","recommendation intelligence","competitor source mapping","identification of first-party and third-party authority gaps","historical tracking","strategic interpretation","and execution support"],"geography":"United States","slug":"best-ai-citation-architecture-solutions-for-measurement-and-execution","title":"Best AI Citation Architecture Solutions for Measurement and Execution","use_case":"AI Citation Architecture Solutions for Measurement and Execution"}}