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deepseek, grok, perplexity, kimi, google. The configured source value 7 is provenance only and must never be described as the number of platforms studied.","The finalrankingtable is the sole authority for rank, platform mentions, platform share, average rank, and best rank. Ignore any conflicting value embedded in a entity evidence bundle.","The Consensus Ranking table must contain exactly one row per finalrankingtable entity, in that order, using that exact entityname. Never split one ranked entity into two product, model, SKU, or product-line rows, and never add another ranking row for a brand already listed. Put recommended products or plans inside that entity's ranked section.","Platform mentions count only ranking-discovery mentions. Do not substitute the number of platforms that later completed a fit assessment.","Citation IDs inside each entity bundle are local to that entity. Consolidate sources by URL using the supplied source catalog.","The URLs were collected from platform responses and were not independently validated by either writer stage.","Each fitreviewurlorplaceholder is the final site-relative CMS path for that entity's review. Link the entity name to that exact path exactly once in its ranked prose section, outside tables and headings. Never replace it with a run ID, report ID, UUID, or local output path.","Use the exact entity-namespaced citation IDs from the source catalog (e.g. e1:); never transfer a citation between entities."],"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 15:57:12.952257+00","research_date":"2026-09-18","source_snapshot_sha256":"93c71de6a7947f83d76296d38dca63db97f45bb9a3c908bbc838c1cdb942353e","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":36,"qualified_finalists":10,"ranking_unit":"Research platform, intelligence provider, or advisory solution"},"schema_version":4,"summary":"Profound is the consensus leader for AI competitor intelligence focused on why brands get recommended, named by 5 of 7 platforms with an average listed position of 1.2 and a best position of 1. Peec AI, Otterly.AI, and AthenaHQ are the strongest alternatives for distinct buyer needs: Peec AI for citation-source tracing and brand-perception analysis, Otterly.AI for affordable prompt-level citation monitoring with agency workspaces, and AthenaHQ for enterprise citation-architecture and recommendation-engine workflows. This study covered 7 platforms (OpenAI, Anthropic, DeepSeek, Grok,…","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"}}