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AI citation and authority building for AI Citation Tools for Tracking Sources Behind Brand Recommendations: 6-Platform AI Consensus Index"},"limitations":["Exactly 6 platforms were included in this run: openai, anthropic, deepseek, grok, perplexity, kimi. 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":6,"maximum_finalists":10,"minimum_mentions":2,"name":"AI Marketing Consensus Index cross-platform AI consensus analysis","platforms_included":["anthropic","deepseek","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":"2026-09-17 17:29:03.45845+00","research_date":"2026-09-17","source_snapshot_sha256":"ba5fb9e48d318d726c6d357312e5f4da1a457264f87089ded1828ad8a1bd6518","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":27,"qualified_finalists":7,"ranking_unit":"Software tool or content optimization platform"},"schema_version":4,"summary":"Profound is the consensus leader for companies that need to track the sources behind AI brand recommendations, named by 5 of 6 platforms at an average listed position of 2.4 and a best position of 1. Peec AI is the strongest alternative for teams that want a clear used-versus-cited distinction and regional citation reporting, while OtterlyAI is the lowest-cost credible entry point at a published $29/month Lite tier. Ahrefs and Semrush suit buyers who want AI citation monitoring inside an existing SEO suite, and Slate and Scrunch are narrower, higher-variance options with conflicting public…","target_buyer":"Companies seeking AI Citation Tools for Tracking Sources Behind Brand Recommendations across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI citation and authority building","category_criteria":["Recommendation-level data","citation tracking","source mapping","citation architecture analysis","competitor comparisons","and historical monitoring"],"geography":"United States","slug":"best-ai-citation-tools-for-tracking-sources-behind-brand-recommendations","title":"Best AI Citation Tools for Tracking Sources Behind Brand Recommendations","use_case":"AI Citation Tools for Tracking Sources Behind Brand Recommendations"}}