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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 15:44:29.582102+00","research_date":"2026-09-17","source_snapshot_sha256":"8ee6f7fff0cea2f43f8039061087efbb85a8725b134749a4657e4b8c056f20a2","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":26,"qualified_finalists":10,"ranking_unit":"Software, service, or advisory solution provider"},"schema_version":4,"summary":"Peec AI is the consensus leader for AI Citation Solutions for Competitive Citation Analysis in this 6-platform study, named by all six platforms (100.0% share) with an average listed position of 4.33 and a best position of 1. Profound is the strongest alternative for enterprise buyers needing source-level citation intelligence, citation decay, and citation-relationship mapping, and it holds the best average listed position in the study (1.80). Semrush AI Toolkit and OtterlyAI are the leading choices for teams that want competitive citation analysis connected to an existing SEO workflow or a…","target_buyer":"Companies seeking AI Citation Solutions for Competitive Citation Analysis across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI citation and authority building","category_criteria":["Compare cited domains and URLs","identify the sources repeatedly supporting each competitor","map competitor citation architecture","measure source overlap","find missing authority sources","and prioritize opportunities"],"geography":"United States","slug":"best-ai-citation-solutions-for-competitive-citation-analysis","title":"Best AI Citation Solutions for Competitive Citation Analysis","use_case":"AI Citation Solutions for Competitive Citation Analysis"}}