{"citations":{"source_mix":{"company_owned":22,"independent":25,"unclear":0},"sources_referenced_by_questions":0,"support_mix":{"direct":36,"partial":11},"total_sources":47,"unique_domain_count":30},"claims":[{"claim_id":"claim-001","confidence":"verified","observed_at":"2026-09-19","platform_support":["anthropic","deepseek","google","grok","kimi","openai","perplexity"],"predicate":"platforms_analyzed","qualifier":"valid included platform responses","subject":"Best AI Visibility Solutions for Understanding Why Competitors Get Recommended","unit":"platforms","value":7},{"claim_id":"claim-002","confidence":"verified","observed_at":"2026-09-19","platform_support":["deepseek","google","grok","kimi","openai","perplexity"],"predicate":"final_consensus_rank","qualifier":"AI Visibility Solutions for Understanding Why Competitors Get Recommended","subject":"Profound","unit":"rank","value":1},{"claim_id":"claim-003","confidence":"verified","observed_at":"2026-09-19","platform_support":["deepseek","google","grok","kimi","openai","perplexity"],"predicate":"platform_mentions","qualifier":"out of 7","subject":"Profound","unit":"platforms","value":6},{"claim_id":"claim-004","confidence":"verified","observed_at":"2026-09-19","platform_support":["openai","grok","google"],"predicate":"fit_rating_count","qualifier":"strong","subject":"Profound","unit":"platforms","value":3},{"claim_id":"claim-005","confidence":"verified","observed_at":"2026-09-19","platform_support":["anthropic","deepseek"],"predicate":"fit_rating_count","qualifier":"good","subject":"Profound","unit":"platforms","value":2},{"claim_id":"claim-006","confidence":"verified","observed_at":"2026-09-19","platform_support":["perplexity"],"predicate":"fit_rating_count","qualifier":"mixed","subject":"Profound","unit":"platforms","value":1},{"claim_id":"claim-007","confidence":"verified","observed_at":"2026-09-19","platform_support":["kimi"],"predicate":"fit_rating_count","qualifier":"uncertain","subject":"Profound","unit":"platforms","value":1}],"content_scope":"aggregated facts, computed metrics, and retrieval summaries","entities":[{"average_rank":2.5,"best_rank":1,"entity_id":"entity-001","entity_type":"company","final_rank":1,"name":"Profound","platform_mentions":6,"platform_share":0.8571428571428571}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-visibility-llm-monitoring/why-competitors-get-recommended/profound.json","page_url":"https://aimarketingconsensusindex.com/ai-visibility-llm-monitoring/why-competitors-get-recommended/profound","report_type":"fit_review","study_id":"AIMCI-STUDY-6FDF4EB7E317","title":"Profound for AI Visibility Solutions for Understanding Why Competitors 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.","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":"2026-09-19 14:36:36.672364+00","research_date":"2026-09-19","source_snapshot_sha256":"88877f32e454a0f698abe58214a41046831c270ae7048c7787b2ee4becfe4f61","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":41,"qualified_finalists":10,"ranking_unit":"Software, service, or advisory solution provider"},"schema_version":4,"summary":"Profound is a strong-to-good fit for teams that need to understand why competitors get recommended in AI answers, provided they can accept enterprise-oriented pricing and do their own interpretation of the data. Six of the seven platforms in this study named Profound during ranking discovery, and it finished first overall with an average listed rank of 2.5 and a best rank of 1. Its strongest asset for this use case is Answer Engine Insights, which combines prompt-level competitor benchmarking, citation and source-architecture analysis, query fanouts, and historical comparisons. The main…","target_buyer":"Company or marketing team seeking AI Visibility Solutions for Understanding Why Competitors Get Recommended","topic":{"base_category":"AI visibility and LLM monitoring platforms","category_criteria":["A solution that can measure recommendation gaps","identify the prompts where competitors win","analyze the citations and source architecture surrounding those answers","benchmark competitors historically","and help identify actionable reasons for the difference"],"geography":"United States","slug":"best-ai-visibility-solutions-for-understanding-why-competitors-get-recommended","title":"Best AI Visibility Solutions for Understanding Why Competitors Get Recommended","use_case":"AI Visibility Solutions for Understanding Why Competitors Get Recommended"}}