{"citations":{"source_mix":{"company_owned":31,"independent":9,"unclear":1},"sources_referenced_by_questions":0,"support_mix":{"direct":38,"partial":3},"total_sources":41,"unique_domain_count":15},"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":["google","perplexity"],"predicate":"final_consensus_rank","qualifier":"AI Competitor Intelligence Solutions for Understanding Why Brands Get Recommended","subject":"Foglift","unit":"rank","value":10},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-18","platform_support":["google","perplexity"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"Foglift","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":"Foglift","unit":"platforms","value":1},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-18","platform_support":["openai","anthropic","perplexity","google"],"predicate":"fit_rating_count","qualifier":"good","subject":"Foglift","unit":"platforms","value":4},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-18","platform_support":["deepseek","kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"Foglift","unit":"platforms","value":2}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":8.5,"best_rank":7,"entity_id":"entity-001","entity_type":"company","final_rank":10,"name":"Foglift","platform_mentions":2,"platform_share":0.2857142857142857}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-search-audits-market-intelligence/why-brands-get-recommended/foglift.json","page_url":"https://aimarketingconsensusindex.com/ai-search-audits-market-intelligence/why-brands-get-recommended/foglift","report_type":"fit_review","study_id":"AIMCI-STUDY-0CC5B519172B","title":"Foglift 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.","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 15:54:04.641951+00","research_date":"2026-09-18","source_snapshot_sha256":"75b1df0a4f8401a7cedac45816a79893b020d0c58033768d13914a0d9f266f88","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":36,"qualified_finalists":10,"ranking_unit":"Research platform, intelligence provider, or advisory solution"},"schema_version":4,"summary":"Foglift is a good fit for marketing teams that need prompt-level evidence of which brands AI engines recommend, which competitors appear alongside them, and which sources are cited — but it is not a causal explanation engine. Two of seven platforms named Foglift during the ranking stage (google, perplexity), a 28.6% share of included platform responses, at an average listed rank of 8.5 and a best rank of 7. The strongest reason to consider it is traceable answer-level and citation-level competitive evidence across five engines on the Growth Plan. The main limitation is that Foglift reports…","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"}}