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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":"2026-09-18 07:17:37.810826+00","research_date":"2026-09-18","source_snapshot_sha256":"92022a50cde31f2ddb076c41dcc2f33c4c8b2dd05fff5d181b189f016ce66cf3","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":32,"qualified_finalists":9,"ranking_unit":"Software, service, or advisory solution provider"},"schema_version":4,"summary":"Profound is the consensus leader for tracking and improving brand recommendations across AI search and generative-answer platforms, named by 5 of 6 platforms (83.3% share) at an average listed position of 2.6. AthenaHQ is the strongest alternative for teams that want broad multi-engine coverage on a self-serve tier, Otterly is the lowest-cost credible entry point, and Semrush and Ahrefs suit buyers who want AI visibility inside an existing SEO workflow. This index studied 6 platforms — OpenAI, Anthropic, DeepSeek, Grok, Perplexity, and Kimi — using one standardized prompt sent once to each.…","target_buyer":"Companies seeking AI Search Solutions for Tracking and Improving Brand Recommendations across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI search and GEO agencies","category_criteria":["Recommendation quality","category fit","platform coverage","competitive analysis","measurement depth","reporting usefulness","and implementation support"],"geography":"United States","slug":"best-ai-search-solutions-for-tracking-and-improving-brand-recommendations","title":"Best AI Search Solutions for Tracking and Improving Brand Recommendations","use_case":"AI Search Solutions for Tracking and Improving Brand Recommendations"}}