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Consulting","platform_mentions":3,"platform_share":0.42857142857142855},{"average_rank":1.5,"best_rank":1,"entity_id":"entity-005","entity_type":"company","final_rank":5,"name":"Citevora","platform_mentions":2,"platform_share":0.2857142857142857},{"average_rank":2.5,"best_rank":1,"entity_id":"entity-006","entity_type":"company","final_rank":6,"name":"Profound","platform_mentions":2,"platform_share":0.2857142857142857}],"identity":{"dataset_url":"https://aimarketingconsensusindex.com/datasets/ai-search-geo-agencies/earning-ai-citations.json","page_url":"https://aimarketingconsensusindex.com/ai-search-geo-agencies/earning-ai-citations","report_type":"best_of_index","study_id":"AIMCI-STUDY-B7311A8B8693","title":"Best AI search and GEO agencies for AI Search Agencies for Earning More AI Citations: 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":"2026-09-17 22:51:18.016351+00","research_date":"2026-09-17","source_snapshot_sha256":"62d6be6aa34d011261d87ecd6931399d60c5afb785137bcf504da6ed15da7daf","verification_scope":"public_verification"},"ranking":{"candidates_evaluated":40,"qualified_finalists":6,"ranking_unit":"Agency or consulting partner"},"schema_version":4,"summary":"Siege Media is the consensus leader in this 7-platform study of AI search and GEO agencies for earning more AI citations, named by 4 of 7 platforms (57.1%) with an average listed position of 5.25 and a best position of 3. GenOptima is the strongest alternative for buyers who want outcome-tied pricing and multi-engine citation monitoring, while iPullRank and Directive Consulting fit enterprise and B2B SaaS buyers who need technical retrieval engineering or revenue-attributed GEO. Citevora and Profound qualify as narrower options: Citevora for a low-cost citation diagnostic, and Profound…","target_buyer":"Companies seeking AI Search Agencies for Earning More AI Citations across AI search, generative-answer, and recommendation platforms","topic":{"base_category":"AI search and GEO agencies","category_criteria":["Analyze existing citation patterns","identify the internal and third-party sources influencing AI responses","evaluate its citation architecture","identify gaps in the broader source ecosystem","improve source eligibility and authority","and measure citation changes over time"],"geography":"United States","slug":"best-ai-search-agencies-for-earning-more-ai-citations","title":"Best AI Search Agencies for Earning More AI Citations","use_case":"AI Search Agencies for Earning More AI Citations"}}