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summaries","entities":[{"average_rank":1.1666666666666667,"best_rank":1,"entity_id":"entity-001","entity_type":"company","final_rank":1,"name":"Profound","platform_mentions":6,"platform_share":0.8571428571428571},{"average_rank":3.5,"best_rank":2,"entity_id":"entity-002","entity_type":"company","final_rank":2,"name":"Peec 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Consensus Index"},"limitations":["Exactly 7 platforms were included in this run: openai, anthropic, 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":"2026-09-19 12:10:49.860052+00","research_date":"2026-09-19","source_snapshot_sha256":"d26c00af01787b9d7d067e7a0b2c2a9fd0c3d914b465a641a60bc685a6e75ab7","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":33,"qualified_finalists":9,"ranking_unit":"Software platform or research platform"},"schema_version":4,"summary":"Profound is the consensus leader for AI visibility platforms built around citation tracking, named by 6 of 7 platforms with an average listed position of 1.17 and a best position of 1. Peec AI and OtterlyAI tie on platform mentions (6 each) but serve different buyers: Peec AI for teams that need a \"used vs cited\" source distinction and unlimited seats, OtterlyAI for smaller teams that want URL-level citation detail at a $29 entry price. Semrush is the strongest choice for buyers who want citation tracking inside an existing SEO workflow. This study covered 7 platforms (OpenAI, Anthropic,…","target_buyer":"Companies seeking AI Visibility Platforms for Citation Tracking across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI visibility and LLM monitoring platforms","category_criteria":["Citation-frequency tracking","source-level analysis","platform comparisons","competitor citation benchmarking","historical trends","and the ability to connect citations with the prompts and answers in which they appear"],"geography":"United States","slug":"best-ai-visibility-platforms-for-citation-tracking","title":"Best AI Visibility Platforms for Citation Tracking","use_case":"AI Visibility Platforms for Citation Tracking"}}