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summaries","entities":[{"average_rank":2.142857142857143,"best_rank":1,"entity_id":"entity-001","entity_type":"company","final_rank":1,"name":"Profound","platform_mentions":7,"platform_share":1},{"average_rank":3.8,"best_rank":2,"entity_id":"entity-002","entity_type":"company","final_rank":2,"name":"Semrush","platform_mentions":5,"platform_share":0.7142857142857143},{"average_rank":4.75,"best_rank":4,"entity_id":"entity-003","entity_type":"company","final_rank":3,"name":"Otterly","platform_mentions":4,"platform_share":0.5714285714285714},{"average_rank":3.3333333333333335,"best_rank":2,"entity_id":"entity-004","entity_type":"company","final_rank":4,"name":"Ahrefs","platform_mentions":3,"platform_share":0.42857142857142855},{"average_rank":4,"best_rank":2,"entity_id":"entity-005","entity_type":"company","final_rank":5,"name":"LLM 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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":"2026-09-17 19:54:19.114609+00","research_date":"2026-09-17","source_snapshot_sha256":"64a6eac2183075b07e2d7019ef75ac67b6d892e561b0d8dddc30fd9e20ffc6d9","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":40,"qualified_finalists":7,"ranking_unit":"Software, service, or advisory solution provider"},"schema_version":4,"summary":"Profound is the consensus leader for AI authority building focused on third-party corroboration, named by all seven platforms studied and ranked first by four of them. Semrush is the strongest alternative for teams that want AI citation measurement bundled with existing SEO and digital-PR workflows, while Otterly is the lowest-cost entry point for citation-source discovery and Ahrefs is the strongest fit for teams already running SEO data operations. This index covers seven AI platforms — OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google — and seven qualifying entities, each…","target_buyer":"Companies seeking AI Authority Building Solutions for Third-Party Corroboration across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI citation and authority building","category_criteria":["Identify the citation architecture surrounding its category","understand which third-party sources AI systems use","find corroboration gaps","strengthen authoritative external coverage","and measure resulting changes in citations and recommendations"],"geography":"United States","slug":"best-ai-authority-building-solutions-for-third-party-corroboration","title":"Best AI Authority Building Solutions for Third-Party Corroboration","use_case":"AI Authority Building Solutions for Third-Party Corroboration"}}