{"citations":{"source_mix":{"company_owned":25,"independent":5,"unclear":0},"sources_referenced_by_questions":0,"support_mix":{"direct":26,"partial":4},"total_sources":30,"unique_domain_count":15},"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 Partners for Source Intelligence, Strategy, and Execution","unit":"platforms","value":7},{"claim_id":"claim-002","confidence":"verified","observed_at":"2026-09-17","platform_support":["anthropic","kimi"],"predicate":"final_consensus_rank","qualifier":"AI Citation Partners for Source Intelligence, Strategy, and Execution","subject":"CiteScore","unit":"rank","value":8},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-17","platform_support":["anthropic","kimi"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"CiteScore","unit":"platforms","value":2},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-17","platform_support":["grok","google"],"predicate":"fit_rating_count","qualifier":"strong","subject":"CiteScore","unit":"platforms","value":2},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-17","platform_support":["openai","anthropic","perplexity"],"predicate":"fit_rating_count","qualifier":"good","subject":"CiteScore","unit":"platforms","value":3},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-17","platform_support":["deepseek","kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"CiteScore","unit":"platforms","value":2}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":4,"best_rank":2,"entity_id":"entity-001","entity_type":"company","final_rank":8,"name":"CiteScore","platform_mentions":2,"platform_share":0.2857142857142857}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-citation-authority-building/source-intelligence-strategy-execution/citescore.json","page_url":"https://aimarketingconsensusindex.com/ai-citation-authority-building/source-intelligence-strategy-execution/citescore","report_type":"fit_review","study_id":"AIMCI-STUDY-940EA4FB9FF0","title":"CiteScore for AI Citation Partners for Source Intelligence, Strategy, 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.","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 21:38:08.641811+00","research_date":"2026-09-17","source_snapshot_sha256":"e5ef52c8249b54f2c5e4463020c506871dd8f7dd6ecd4ef01b71020a5299e936","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":43,"qualified_finalists":10,"ranking_unit":"Strategic partner, agency, platform, or service provider"},"schema_version":4,"summary":"CiteScore is a good fit for buyers who want AI citation-source intelligence, competitor recommendation measurement, and a low-cost path from audit to execution. Two of seven platforms named it during the ranking stage (anthropic, kimi), and its strongest reason to consider it is a transparent entry price — a $299 one-time AI Visibility Audit plus recurring tracking from $69 per month — combined with a stated Fix Sprint execution layer. The main limitation is that most evidence is company-owned, Fix Sprint scope and pricing are inconsistently documented, and no independent validation of…","target_buyer":"Companies seeking AI Citation Partners for Source Intelligence, Strategy, and Execution across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI citation and authority building","category_criteria":["Identify which domains and pages influence AI answers","measure its citations and competitor citations","map the category's citation architecture","understand how citations relate to recommendations","identify authority gaps","develop a GEO strategy","and execute improvements over time"],"geography":"United States","slug":"best-ai-citation-partners-for-source-intelligence-strategy-and-execution","title":"Best AI Citation Partners for Source Intelligence, Strategy, and Execution","use_case":"AI Citation Partners for Source Intelligence, Strategy, and Execution"}}