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for Citation Architecture and Recommendation Intelligence: 7-Platform AI 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 15:17:42.343465+00","research_date":"2026-09-19","source_snapshot_sha256":"c9c210a48ba8f697666026d870ba8c20c7256718a8f23799501908c6128c9768","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":31,"qualified_finalists":10,"ranking_unit":"Software, service, or advisory solution provider"},"schema_version":4,"summary":"Profound is the consensus leader for AI Visibility Solutions for Citation Architecture and Recommendation Intelligence, named by 5 of 7 platforms with an average listed position of 1.6 and a best position of 1. Peec AI (4 mentions, average 3.25) and OtterlyAI (4 mentions, average 5.0) are the strongest alternatives for teams that need lower entry pricing or per-engine add-on flexibility. Scrunch and Semrush each appeared on 3 platforms and serve buyers who want citation-level source tables or an SEO-suite bridge. This study covered 7 platforms — openai, anthropic, deepseek, grok, perplexity,…","target_buyer":"Companies seeking AI Visibility Solutions for Citation Architecture and Recommendation Intelligence across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI visibility and LLM monitoring platforms","category_criteria":["Recommendation tracking","citation intelligence","source mapping","citation architecture analysis","competitor benchmarking","prompt-level research","historical measurement","and strategic interpretation of the findings"],"geography":"United States","slug":"best-ai-visibility-solutions-for-citation-architecture-and-recommendation-intelligence","title":"Best AI Visibility Solutions for Citation Architecture and Recommendation Intelligence","use_case":"AI Visibility Solutions for Citation Architecture and Recommendation Intelligence"}}