{"citations":{"source_mix":{"company_owned":26,"independent":4,"unclear":2},"sources_referenced_by_questions":0,"support_mix":{"direct":25,"partial":6},"total_sources":32,"unique_domain_count":17},"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 Search Audits for Mid-Market Companies","unit":"platforms","value":7},{"claim_id":"claim-002","confidence":"verified","observed_at":"2026-09-18","platform_support":["deepseek","kimi"],"predicate":"final_consensus_rank","qualifier":"AI Search Audits for Mid-Market Companies","subject":"BeCited","unit":"rank","value":4},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-18","platform_support":["deepseek","kimi"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"BeCited","unit":"platforms","value":2},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-18","platform_support":["openai","anthropic","deepseek","grok","perplexity","google"],"predicate":"fit_rating_count","qualifier":"good","subject":"BeCited","unit":"platforms","value":6},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-18","platform_support":["kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"BeCited","unit":"platforms","value":1}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":1.5,"best_rank":1,"entity_id":"entity-001","entity_type":"company","final_rank":4,"name":"BeCited","platform_mentions":2,"platform_share":0.2857142857142857}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-search-audits-market-intelligence/mid-market-audits/becited.json","page_url":"https://aimarketingconsensusindex.com/ai-search-audits-market-intelligence/mid-market-audits/becited","report_type":"fit_review","study_id":"AIMCI-STUDY-79B8B07DB62A","title":"BeCited for AI Search Audits for Mid-Market Companies: 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":"2026-09-18 10:46:00.231405+00","research_date":"2026-09-18","source_snapshot_sha256":"8002d2a0ce1dac43b18c2e2848570de625e64185feb3dea71f40ebccf35a75ae","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":40,"qualified_finalists":10,"ranking_unit":"Audit company, audit service, or advisory provider"},"schema_version":4,"summary":"BeCited is a good fit for mid-market companies that want a focused, human-reviewed AI search audit at a clear one-time price. Two of the seven platforms in this study named BeCited during the ranking stage, and all seven evaluated its fit for this use case; six rated it \"good\" and one rated it \"uncertain.\" The strongest reason to consider it is the $2,000 Full Audit, which tests 100–300 buying-intent prompts across ChatGPT, Claude, Gemini, and Perplexity and delivers competitor benchmarking, source-domain mapping, gap analysis, and a prioritized 90-day plan. The main limitation is that…","target_buyer":"Mid-market companies that need sophisticated AI search intelligence without enterprise-level complexity or cost","topic":{"base_category":"AI search audits and market intelligence","category_criteria":["Recommendation analysis","mention and citation measurement","competitor benchmarking","influential source-domain analysis","content and authority gaps","and prioritized improvement roadmap"],"geography":"United States","slug":"best-ai-search-audits-for-mid-market-companies","title":"Best AI Search Audits for Mid-Market Companies","use_case":"AI Search Audits for Mid-Market Companies"}}