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AI Consensus Index

Best AI Citation Architecture Agencies

CiteWorks Studio is the consensus leader among AI citation architecture agencies, named by 4 of 7 platforms with an average listed position of 1.25 and a best position of 1.

Research: 2026-09-167 usable platform responsesRead the methodology ↗

Answer Capsule

CiteWorks Studio is the consensus leader among AI citation architecture agencies, named by 4 of 7 platforms with an average listed position of 1.25 and a best position of 1. Citevora (3 mentions, 1.33 average) is the strongest alternative for buyers who want published starting prices and a one-time diagnostic entry point, while Enleaf (2 mentions, 1.50 average) suits buyers wanting a managed 12-month authority program. Seven platforms were studied — OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google — using one standardized prompt sent once to each. The principal limitation is that company-owned citations materially outnumber independent ones across every entity bundle, so most capability and outcome claims are platform-reported or vendor-published rather than independently verified.

Research Snapshot

  • Topic: AI citation architecture agencies — mapping influential sources, analyzing competitor citation pathways, identifying authority gaps, strengthening source coverage, and measuring whether those changes improve AI citations and recommendations.
  • Target buyer: Companies seeking AI Citation Architecture Agencies across AI search, generative-answer, and recommendation platforms, United States.
  • Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google.
  • Research date: 2026-09-16 (authoritative run date). Platform-reported dates differ and are provenance metadata only.
  • Unique entities named: 45.
  • Qualifying entities: 7.
  • Eligibility rule: named by at least two platforms during ranking discovery.
  • Ranking rule: platform mentions, then average listed rank, then best listed rank.
  • Method: one standardized prompt sent once to each included platform.

The Consensus Ranking

Questions This Section Answers

  • What are the best AI citation architecture agencies for companies that need source mapping and competitor citation pathway analysis in 2026?
  • Which AI citation architecture agency has the most platform mentions across ChatGPT, Claude, Gemini, Perplexity, Grok, Kimi, and Google?
  • Which AI citation architecture agencies were named by at least two of the seven platforms studied?

Platform mentions count only ranking-discovery mentions. A platform that later completed a fit assessment without naming the entity during ranking discovery is not counted here.

RankEntityPlatform mentionsAverage listed positionBest positionBest considered for
1CiteWorks Studio41.251Companies needing an audit-led program rather than isolated content production; Brands seeking coordinated work across Google AI Overviews, ChatGPT, Gemini, Perplexity, Copilot, Claude, review sites, directories, comparison pages, communities, and industry sources; Organizations with existing SEO or content teams that need specialist GEO, citation architecture, and source-layer execution
2Citevora31.331Companies needing a one-time diagnostic of competitor citation pathways and source gaps; Brands seeking ongoing cross-engine citation, entity, content, technical, and visibility work; Teams prioritizing Google AI experiences, ChatGPT, Perplexity, Gemini, and Microsoft Copilot
3Enleaf21.501Companies wanting a managed 12-month program combining technical SEO, entity architecture, digital PR, original research, and AI-answer monitoring.; Brands that need competitor citation-pathway analysis and third-party authority development rather than only on-site schema or AI-written content.; US companies with sufficient budget and an existing or improvable traditional SEO foundation.
4The 66th22.002Small and mid-sized U.S. companies that need combined technical SEO, content, authority building, and AI-search visibility work.; Buyers wanting implementation rather than only a diagnostic audit.; Organizations willing to use a custom proposal and validate the exact AI-platform measurement methodology before purchase.
5Opositive24.504Companies wanting an ongoing managed service rather than software alone.; D2C, local, hospitality, education, and other brands whose AI recommendations depend on reviews, Reddit, listicles, directories, digital PR, or structured entity data.; Buyers needing both off-site citation building and monitoring across ChatGPT, Perplexity, Google AI Overviews, Gemini, and potentially Copilot.
6Citable Agency25.003Companies needing a defined baseline of AI-search visibility across an agreed query panel and multiple answer surfaces.; Organizations that need competitor citation-pathway analysis, technical/content/entity/offsite-source analysis, and prioritized authority-gap remediation.; Cross-functional teams that need a 90-day roadmap, ownership model, verification criteria, and optional bounded implementation.
7Adam Silva Consulting25.503B2B or enterprise brands with existing expertise but weak visibility in AI-generated answers.; Companies wanting a fixed-scope 90-day program combining content production, schema, primary research, and citation measurement.; Buyers that need competitor citation-pathway analysis and a prioritized authority-gap roadmap.

Which Option Is Best for Which Version of the Buyer Need?

Questions This Section Answers

  • Which AI citation architecture agency should a buyer choose if they need a one-time diagnostic before committing to a retainer?
  • Is CiteWorks Studio or Citevora better for AI citation architecture when transparent published pricing matters?
  • Which AI citation architecture agency is best for a company that needs off-site citation building across reviews, Reddit, and directories?
Buyer needBest-fit optionWhy
Audit-led program with coordinated execution across many AI surfaces and source typesCiteWorks StudioStated scope covers source mapping, competitor citation benchmarking, owned-source strengthening, third-party development, and a citation-gap roadmap
One-time diagnostic with published starting price before larger spendCitevoraAI Citation Analysis from $1,250 one-time, with AI Search Visibility Services from $2,500/month
Managed 12-month program combining content, PR, schema, and entity workEnleafAuthority Engineering plan spans knowledge infrastructure, entity authority, distributed visibility, and original research
Implementation-oriented GEO with combined SEO and AI-search workThe 66thGEO is packaged inside SEO engagements rather than sold standalone
Off-site citation building where reviews, Reddit, and listicles drive AI answersOpositiveSix workstreams include source prospecting, mentions and digital PR, review and community presence, and entity/Wikidata work
Fixed-fee audit with a prioritized 90-day roadmap and defined ownersCitable Agency€1,800 Baseline Review, €3,800 Opportunity Audit, €5,400 Program Audit with published scope
Fixed-scope 90-day program with content production and schema deploymentAdam Silva Consulting$15,000 Authority Building Program with 10 authority articles and citation tracking
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1. CiteWorks Studio

Questions This Section Answers

  • Is CiteWorks Studio worth it for AI citation architecture, and what are its main drawbacks?
  • What should a buyer verify before choosing CiteWorks Studio for AI citation architecture if pricing transparency matters?

CiteWorks Studio is the consensus leader in this index and the entity most consistently described as purpose-built for citation architecture rather than general SEO. It was named by 4 of 7 platforms, with an average listed position of 1.25 and a best position of 1. Its stated service scope covers citation source mapping across owned, third-party, review, comparison, community, video, and industry sources, plus source influence analysis, competitor citation benchmarking, owned-source strengthening, third-party source development, and a citation-gap roadmap with milestone progression [1]. The engagement path is a Visibility Audit, then Strategy and Roadmap, then an optional Execution Retainer [2].

Why it ranked here. CiteWorks Studio received the most ranking-discovery mentions of any entity and was placed first by Anthropic, Google, and Grok, and second by Perplexity [3]. Its published positioning explicitly distinguishes citation architecture from traditional link building, treating off-site mentions as a deliberate evidence layer and measuring citation-gap status, source influence, and recommendation movement rather than link volume [4].

Best suited for. Companies needing an audit-led program rather than isolated content production; brands seeking coordinated work across Google AI Overviews, ChatGPT, Gemini, Perplexity, Copilot, Claude, review sites, directories, comparison pages, communities, and industry sources; organizations with existing SEO or content teams that need specialist GEO, citation architecture, and source-layer execution [2].

Main strengths for the use case. Direct alignment with source mapping, competitor citation comparison, authority-gap analysis, and citation-readiness work [2]. Broad coverage of AI-answer and recommendation environments rather than a narrow Google-only SEO focus [5]. An audit-led model that can produce a prioritized roadmap before larger execution spending [6]. A white-label and collaborative agency partnership model enabling resale and multi-client deployment [7].

Main limitations. Pricing and commercial terms are not publicly transparent; no verified public price was found for the audit, the citation architecture program, or a monthly retainer [8]. Most evidence is company-reported rather than independently verified [9]. There is no clear public specification of prompt volume, sampling design, citation-attribution methodology, reporting cadence, or success thresholds [10]. The integrated scope may include substantial SEO, content, technical, PR, social, and video work beyond pure citation architecture [2]. No verified guarantee exists that changes will cause AI systems to cite or recommend a buyer [10].

Pricing or cost summary. Public pricing for the Visibility Audit, Seven-Layer Citation Architecture Program, GEO program, or execution retainer was not identified in the reviewed sources; pricing should be treated as custom or undisclosed [8]. Terms state that proposals describe scope, fees, and billing model, that fees are exclusive of taxes and third-party platform costs, that payment terms are typically 7 days from invoice date, and that fees are generally non-refundable once services have been initiated [11].

Where platforms disagreed. DeepSeek rated the fit uncertain, reporting that the company website could not be independently accessed or verified during its assessment and that no third-party reviews, case studies, or client testimonials were found [12]. Anthropic, Google, Grok, Kimi, OpenAI, and Perplexity rated the fit good or strong. Google also flagged a factual conflict: the exact term "Citation Schema Stack" as a seven-layer architecture belongs to Digital Strategy Force, whereas CiteWorks Studio describes its visibility ecosystem as having three layers — Search, AI, and Sources [3]. The relationship between the described seven-layer process and the six-step visibility loop is also unclear [13].

Complete fit review: CiteWorks Studio

2. Citevora

Questions This Section Answers

  • Is Citevora worth it for AI citation architecture, and what are its main drawbacks?
  • Which AI citation architecture agency has the lowest published entry price for a one-time citation diagnostic?

Citevora ranked second, named by 3 of 7 platforms with an average listed position of 1.33 and a best position of 1. It was placed first by Kimi and OpenAI and second by DeepSeek [14]. Its published service architecture connects a one-time diagnostic to ongoing execution: AI Citation Analysis maps buyer prompts, cited competitors, recurring source domains, and competitor citation pathways, then identifies page, evidence, entity, and authority gaps behind those outcomes [15].

Why it ranked here. Citevora is the only qualifying entity with a clearly published, low-friction entry price and a defined diagnostic deliverable. Its AI Citation Analysis is listed from $1,250 one-time, with AI Search Visibility Services from $2,500 per month, Generative Engine Optimization from $3,000 per month, and AI Search Optimization from $3,000 per month [14]. It explicitly optimizes for and measures across Google AI experiences, ChatGPT, Perplexity, Gemini, and Copilot [16].

Best suited for. Companies needing a one-time diagnostic of competitor citation pathways and source gaps; brands seeking ongoing cross-engine citation, entity, content, technical, and visibility work; teams prioritizing Google AI experiences, ChatGPT, Perplexity, Gemini, and Microsoft Copilot; buyers wanting a strategy-to-execution path rather than a standalone visibility dashboard [14].

Main strengths for the use case. The one-time analysis directly matches the need for source mapping, competitor citation analysis, gap identification, and a prioritized roadmap [15]. The service architecture connects diagnosis to ongoing execution across technical, content, entity, authority, citation, and measurement layers [17]. Published coverage is broader than a narrow ChatGPT-only optimization offer [16]. Public pricing shows AI Citation Analysis from $1,250 one-time, AI Search Visibility Services from $2,500/month, and GEO from $3,000/month [18].

Main limitations. Public evidence is primarily company-reported rather than independently validated [14]. The pages do not provide a standardized methodology for prompt sampling, engine testing frequency, citation attribution, or recommendation measurement [15]. Starting prices are not final quotes and may rise with scope complexity [14]. Contract, cancellation, data-handling, confidentiality, security, and reporting terms are not publicly clear [14]. The public contact and location data shown on the site point to Kumasi, Ghana rather than a clearly documented U.S. office [19].

Pricing or cost summary. Published starting prices are $1,250 one-time for AI Citation Analysis, $2,500 per month for AI Search Visibility Services, $3,000 per month for Generative Engine Optimization, and $3,000 per month for AI Search Optimization; ChatGPT SEO Services are listed from $2,000 per month [14]. Google's assessment reported different figures — AI Search Readiness Audits at $3,500–$7,500 one-time and a GEO retainer at $4,000–$12,000 per month — and stated the company was founded in June 2026 by Israel Acheampong, based in Kumasi, Ghana [20]. Perplexity reported a recommended initial 3-month cycle for AI Search Visibility Services and GEO [18].

Where platforms disagreed. Anthropic rated the fit uncertain, reporting that web search yielded no independent verification of the company's services, pricing, capabilities, track record, or positioning, and that the company did not appear in comparative agency guides [21]. DeepSeek, Grok, and Perplexity rated the fit strong; Google, Kimi, and OpenAI rated it good. Pricing figures conflict across platforms: OpenAI and Perplexity reported $1,250–$3,000 starting points, while Google reported $3,500–$12,000 ranges [20]. The exact difference between "AI Search Optimization" and "Generative Engine Optimization," both listed from $3,000 per month, is unclear [16].

Complete fit review: Citevora

3. Enleaf

Questions This Section Answers

  • Is Enleaf worth it for AI citation architecture, and what are its main drawbacks?
  • Which AI citation architecture agency should a buyer choose if they want a 12-month managed authority program rather than a one-time audit?

Enleaf ranked third, named by 2 of 7 platforms with an average listed position of 1.50 and a best position of 1. It was placed first by DeepSeek and second by Kimi [22]. Its advertised AI SEO service is built around a 12-month Authority Engineering plan that sequences work across knowledge infrastructure, entity authority, distributed visibility, and original research [23].

Why it ranked here. Enleaf's published process explicitly records which brands and sources appear for customer questions, maps entity coverage and open-web mentions, benchmarks competitors appearing in AI answers, and produces a written gap analysis [22]. It markets AI SEO across Google AI Overviews, ChatGPT search, Perplexity, Gemini, and Claude, and states that it performs monthly checks across major AI systems, reporting questions where the client appears, competitors displaced, and content or PR placements associated with movement [22].

Best suited for. Companies wanting a managed 12-month program combining technical SEO, entity architecture, digital PR, original research, and AI-answer monitoring; brands that need competitor citation-pathway analysis and third-party authority development rather than only on-site schema or AI-written content; U.S. companies with sufficient budget and an existing or improvable traditional SEO foundation [22].

Main strengths for the use case. Direct alignment with AI-answer visibility and citation-oriented work across several named platforms [22]. Explicit source mapping, competitor benchmarking, entity auditing, authority-gap analysis, and monthly AI visibility checks [22]. Combines first-party information architecture with third-party validation, digital PR, expert positioning, and original research [22]. Founder Adam Chronister authored "Authority Engineering," described in press coverage as ranking second on a 2026 list of AI marketing books [24].

Main limitations. No public fixed price or detailed rate card [22]. No independently verified AI-citation or recommendation outcomes located [25]. No public specification of the number of prompts, markets, platforms, sources, reports, placements, or monthly deliverables included [22]. The broad SEO-plus-PR model may be more extensive and costly than buyers needing only citation monitoring or source-gap diagnostics [22]. Public contract language differs between the AI SEO and GEO pages, so terms need verification [26].

Pricing or cost summary. Public pricing is not disclosed; Enleaf states that cost depends on category competitiveness, the existing authority gap, and whether traditional SEO is bundled, with a specific price proposed after an initial strategy discussion [22]. Anthropic reported legacy SEO services at $999–$3,000 per month based on 2024 data that may not reflect current GEO pricing [27]. Grok reported general SEO project costs cited as $10,000–$49,999 on review platforms [28].

Where platforms disagreed. DeepSeek and Kimi rated the fit uncertain, with Kimi stating that the specific capabilities defining AI citation architecture — systematic source mapping, competitor citation pathway analysis, AI-system-specific source influence weighting, citation-gap roadmaps with live tracking, and cross-engine citation measurement — are not transparently documented, and that the service appears to repackage traditional SEO authority building with AI-oriented marketing language [29]. Anthropic, Google, OpenAI, and Perplexity rated the fit good; Grok rated it strong. Perplexity flagged a public-term inconsistency: the AI SEO page describes a 12-month rolling agreement with a fixed first 90 days, while the GEO page describes a 90-day first-quarter commitment followed by month-to-month with 30 days notice [26].

Complete fit review: Enleaf

4. The 66th

Questions This Section Answers

  • Is The 66th worth it for AI citation architecture, and what are its main drawbacks?
  • Which AI citation architecture agency should a buyer choose if they need implementation rather than only a diagnostic audit?

The 66th ranked fourth, named by 2 of 7 platforms with an average listed position of 2.00 and a best position of 2. It was placed second by both Google and Grok [30]. It positions GEO as inseparable from SEO, stating that every SEO retainer includes GEO work and that AI search optimization is not sold as a separate standalone service [31].

Why it ranked here. The 66th's published process includes an AI content audit, intent and entity mapping, content restructuring, authority-signal work, schema and multimedia optimization, and an AI performance loop for tracking, analysis, and continued optimization [30]. It states that its GEO methodology includes understanding the network of first-party and third-party sources AI systems rely on and that it tracks citation count, position, and context across platforms [32]. It also manages review profiles on platforms read by AI systems [33].

Best suited for. Small and mid-sized U.S. companies that need combined technical SEO, content, authority building, and AI-search visibility work; buyers wanting implementation rather than only a diagnostic audit; organizations willing to use a custom proposal and validate the exact AI-platform measurement methodology before purchase [30].

Main strengths for the use case. Explicit GEO positioning across several major AI-answer platforms [30]. A published combination of AI-content auditing, entity and intent mapping, content restructuring, authority signals, schema, and ongoing performance optimization [30]. An implementation-oriented model that can address technical SEO, content, listings, reviews, links, and website changes together [34]. Some independent marketplace evidence: Clutch lists the company for SEO, GEO, content development, local search, on-site optimization, and technical SEO, with at least one verified review [35].

Main limitations. Public materials do not prove comprehensive citation-graph mapping or competitor citation-pathway analysis [30]. No clearly published deliverable list for the requested GEO Audit and Implementation Program [30]. No public, independently audited evidence showing that specific source changes caused more AI citations or recommendations [30]. Pricing and contract terms for the general GEO service are not transparent [30]. Public company information indicates a small team, which may limit enterprise scale or parallel platform monitoring [30]. The company is Vancouver-based, although it states that it serves U.S. and international clients [36].

Pricing or cost summary. Public pricing is not clearly posted for the named GEO Audit and Implementation Program. A law-firm-specific service page lists $3,000, $5,000, and $8,000 monthly tiers plus a custom enterprise tier, and states no long contracts and cancel anytime for that vertical offering; those prices should not be assumed to apply to the general GEO offering [37]. Google reported month-to-month terms with no long-term contract lock-ins for the agency generally [38].

Where platforms disagreed. Grok rated the fit mixed, stating that the homepage describes AI search optimization via content creation, technical fixes, progress tracking, and credibility building but contains no explicit mention of mapping influential sources, competitor citation pathways, or authority gap identification, and that the recommended GEO Audit and Implementation Program is not described on the official site [39]. DeepSeek and Kimi rated the fit uncertain. Anthropic, Google, OpenAI, and Perplexity rated it good; Google rated it strong. Anthropic noted that the website does not document citation architecture methodology specifically and that no published case studies detail citation architecture-specific approaches [40].

Complete fit review: The 66th

5. Opositive

Questions This Section Answers

  • Is Opositive worth it for AI citation architecture, and what are its main drawbacks?
  • Which AI citation architecture agency should a buyer choose if their AI recommendations depend on reviews, Reddit, listicles, and directories?

Opositive ranked fifth, named by 2 of 7 platforms with an average listed position of 4.50 and a best position of 4. It was placed fourth by Kimi and fifth by DeepSeek [41]. Its AI Citation Building Services are organized into six workstreams: Citation Audit and Baseline, Source Prospecting, Mentions and Digital PR, Review and Community Presence, Entity and Wikidata, and Citation Tracking [41].

Why it ranked here. Opositive identifies Reddit and forums, review platforms, listicles, news and digital PR, Wikidata and reference data, and directories and maps as target source classes, and says source selection is matched to category and buyer questions [41]. It claims to benchmark citation share against competitors, map competitor citations, identify gaps, and prioritize sources used for category-specific buyer questions [41]. It explicitly positions against directory-submission rebranding, stating that real AI citation building earns placement in publications ChatGPT and Perplexity already trust [42].

Best suited for. Companies wanting an ongoing managed service rather than software alone; D2C, local, hospitality, education, and other brands whose AI recommendations depend on reviews, Reddit, listicles, directories, digital PR, or structured entity data; buyers needing both off-site citation building and monitoring across ChatGPT, Perplexity, Google AI Overviews, Gemini, and potentially Copilot [41].

Main strengths for the use case. Direct alignment with citation-audit, source-mapping, authority-gap, third-party coverage, entity, and monitoring requirements [41]. Broad source coverage spanning community, reviews, editorial content, reference data, and local directories [41]. A managed-service approach with stated strategist review rather than software-only reporting [41]. Explicit focus on citation share and buyer prompts rather than only conventional rankings [41]. Google reported proprietary tools including Studio+, Tribe+, Crawl+, and Caffeine+ [43].

Main limitations. No public pricing or contract terms were found [41]. Public claims about performance are not independently substantiated in the reviewed materials [44]. The page does not disclose minimum monthly outputs, target-source acceptance criteria, outreach volumes, reporting examples, or attribution standards [41]. AI citation and recommendation outcomes cannot be fully controlled; related Opositive enterprise material states that agencies cannot control an AI model's wording and need client-side engineering and content capacity [45]. Exact coverage, methodology, and reporting depth for Gemini and Copilot are not sufficiently documented [41].

Pricing or cost summary. No publicly stated service fee, monthly retainer, setup fee, minimum term, or platform fee was verified; pricing should be treated as custom and quote-based unless Opositive confirms otherwise [41]. Google reported hourly rates under $25 and general digital marketing project sizes typically ranging from $10,000 to $49,999, with the company headquartered in Gurugram, India [46]. Terms state that refunds will not be provided for work already completed [e5:official:C2].

Where platforms disagreed. DeepSeek and Kimi rated the fit uncertain, with Kimi stating that no independent sources, reviews, journalism, or directories verify Opositive's service effectiveness or methodology and that the official website provided insufficient detail to evaluate against specific buyer criteria [47]. Anthropic, Google, OpenAI, and Perplexity rated the fit good; Grok rated it strong. The company reports a 190% average increase in AI citations and case-study figures including 4x AI citation volume, but these are company-reported claims without independent validation [41]. The page presents broad platform coverage including Copilot and Gemini, while the detailed audit and tracking description names fewer platforms [41].

Complete fit review: Opositive

6. Citable Agency

Questions This Section Answers

  • Is Citable Agency worth it for AI citation architecture, and what are its main drawbacks?
  • Which AI citation architecture agency publishes fixed audit fees and a defined 90-day roadmap with named owners?

Citable Agency ranked sixth, named by 2 of 7 platforms with an average listed position of 5.00 and a best position of 3. It was placed third by Kimi and seventh by DeepSeek [48]. It publishes three fixed-fee audit tiers: AI Search Baseline Review at €1,800, AI Search Opportunity Audit at €3,800, and AI Search Program Audit at €5,400 [48].

Why it ranked here. Citable is the most transparently priced qualifying entity. Its published Opportunity scope explicitly includes competitor baseline work, third-party profile opportunities, and prioritized PR, community, and offsite-source opportunities, plus technical, content, entity, and offsite-source analysis [48]. Its CITE framework covers crawl access, identity, trust signals, and extractability — the infrastructure signals AI systems read when determining citability [49]. It states that it does not guarantee rankings, citations, recommendations, or external-system outputs because models, retrieval systems, and answers change [50].

Best suited for. Companies needing a defined baseline of AI-search visibility across an agreed query panel and multiple answer surfaces; organizations that need competitor citation-pathway analysis, technical/content/entity/offsite-source analysis, and prioritized authority-gap remediation; cross-functional teams that need a 90-day roadmap, ownership model, verification criteria, and optional bounded implementation [48].

Main strengths for the use case. Strong published alignment with source and citation architecture: competitor baselines, citation interpretation, offsite-source analysis, entity analysis, narrative gaps, and third-party authority opportunities [48]. Transparent fixed-fee diagnostic tiers with defined deliverables and explicit production boundaries [48]. The Program tier connects diagnosis to governance, experiment management, ticket architecture, and one bounded implementation workstream [48]. A public self-audit shows a traceable evidence-oriented methodology rather than relying only on unstructured visibility claims [51].

Main limitations. Baseline and Opportunity do not include production implementation or ongoing monitoring [48]. Program includes only one agreed bounded workstream and excludes large migrations, new-site builds, third-party spend, paid placements, and recurring monitoring [48]. External publication, model retrieval, citations, recommendations, and visibility outcomes are not controlled or guaranteed [50]. Public evidence is primarily company-controlled; independent client case studies, verified lift data, and third-party comparative evaluations were not established [48]. The published platform and geographic methodology may not be sufficiently specific for a U.S. buyer without a custom scope [52].

Pricing or cost summary. Published fixed fees are €1,800 for AI Search Baseline Review, €3,800 for AI Search Opportunity Audit, and €5,400 for AI Search Program Audit [48]. Published recurring options include AI Search Delivery Assurance at €1,500–€3,000 per month and SEO Continuity at €2,000–€3,000 per month; the custom AI Search Operating Program has no published fixed price [48]. Perplexity reported a separate GEO Growth retainer at €3,500–€6,000 per month with a 6-month minimum [53]. Anthropic reported conflicting figures, including an AI Visibility Audit at €1,200, retainers from €640/month with a 30-day exit clause, and a market benchmarking article citing retainers from €3,500/month [54].

Where platforms disagreed. DeepSeek rated the fit uncertain, citing the EUR-denominated pricing, an apparent EU base, and thin independent evidence of citation-outcome improvements for a U.S. buyer [55]. Anthropic, Kimi, OpenAI, and Perplexity rated the fit good; Google and Grok rated it strong. Pricing conflicts are material: Anthropic reported €1,200 for an AI Visibility Audit and retainers from €640/month, while the official pricing page and other platforms report €1,800–€5,400 audits and €1,500–€6,000 monthly ranges [54]. Google noted minor terminological differences across service landing pages, suggesting standard packages may have evolved during 2026 [56].

Complete fit review: Citable Agency

7. Adam Silva Consulting

Questions This Section Answers

  • Is Adam Silva Consulting worth it for AI citation architecture, and what are its main drawbacks?
  • Which AI citation architecture agency offers a fixed $15,000 90-day program with content production, schema, and citation tracking?

Adam Silva Consulting ranked seventh, named by 2 of 7 platforms with an average listed position of 5.50 and a best position of 3. It was placed third by Anthropic and eighth by Grok [57]. Its advertised 90-Day Authority Building Program is listed at $15,000 and includes 10 authority articles of 2,000+ words, primary research, a 20+ term DefinedTermSet glossary, and JSON-LD types including Person, Organization, Article, FAQPage, DefinedTermSet, and ClaimReview [57].

Why it ranked here. The program advertises an authority audit covering current AI citation footprint, topical gaps, and competitor citation landscape, and states that it audits or tests ChatGPT, Perplexity, Claude, Gemini, and Bing Copilot, scoring outcomes as direct citation, brand mention, recommendation, or absent [57]. A related AEO Audit advertises 50+ live queries, competitor comparison, keyword-to-answer mapping, and a schema-gap report [58]. The company's Authority Flywheel methodology sequences primary research publication, AI citations, entity authority signals, and additional citations [59].

Best suited for. B2B or enterprise brands with existing expertise but weak visibility in AI-generated answers; companies wanting a fixed-scope 90-day program combining content production, schema, primary research, and citation measurement; buyers that need competitor citation-pathway analysis and a prioritized authority-gap roadmap [57].

Main strengths for the use case. Strong advertised alignment with citation architecture: source audits, competitor testing, topical authority, schema, original research, and ongoing AI-platform measurement [57]. Clear fixed-scope productization with stated deliverables and a 90-day implementation period [57]. The AEO Audit provides a narrower diagnostic option before committing to the larger authority-building program [58]. Google reported independent G2 reviews praising the firm for translating complex AI indexing and search protocols into actionable strategies [60].

Main limitations. Public evidence is largely vendor-controlled and does not independently verify performance claims [57]. No public guarantee was identified for citation rate, recommendation frequency, traffic, revenue, or rankings [57]. The program emphasizes first-party content and schema architecture; the breadth and depth of third-party source acquisition, digital PR, reviews, directories, and authoritative backlinks are unclear [57]. Platform behavior, citation availability, and model outputs can change, so a 90-day result may not generalize across all AI systems or future model versions [57]. Terms state all sales are final with no refunds, and credit or debit card payments incur a 4% convenience fee [e7:official:C2].

Pricing or cost summary. The Authority Building/90-Day Citation Program is publicly listed at $15,000 for 90 days; the related AEO Audit is listed at $5,000 for delivery in five business days, and GEO Implementation at $7,500 for delivery in two weeks [57]. Anthropic additionally reported a 16-Week Protocol Implementation Program at $75,000 flat, an ACRA single report at $299, and an ACRA Pro annual plan at $2,499/year, with ACRA fees credited dollar-for-dollar toward implementation services [61]. Terms state a 1.5% monthly late fee for accounts more than 30 days past due and that recurring services may be cancelled with written notice at least 14 days before the next billing date [e7:official:C2].

Where platforms disagreed. DeepSeek and Kimi rated the fit uncertain. Kimi stated that no independent sources confirm the company's existence, program offerings, methodology, pricing, or capabilities, and that the specific programs named in the ranking stage could not be verified through independent sources [62]. Anthropic, Google, OpenAI, and Perplexity rated the fit good; Google and Grok rated it strong. Anthropic reported a company-size discrepancy across sources: Crunchbase reports 100+ employees and $10M+ annual revenue, while other sources describe 5 senior leaders and 20+ AI engineers, and D&B reports 2 employees and $110K revenue [63]. The recommended product is referred to as both the 90-Day Authority Building Program and the 90-Day Citation Program [57].

Complete fit review: Adam Silva Consulting

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

  • What does the cross-platform AI consensus reveal about how AI citation architecture agencies are positioned in 2026?
  • Which AI citation architecture agencies are described as audit-led versus execution-led across the seven platforms studied?

Three patterns emerge from the seven platform responses.

First, the market has split into two operating models. Audit-led providers — CiteWorks Studio, Citevora, and Citable Agency — lead with a diagnostic that maps sources, competitors, and authority gaps before larger spending [64]. Execution-led providers — Enleaf, The 66th, Opositive, and Adam Silva Consulting — bundle content production, digital PR, schema, and monitoring into a program [67].

Second, pricing transparency is the sharpest differentiator. Citable Agency publishes fixed audit fees of €1,800, €3,800, and €5,400 [66]. Citevora publishes starting prices from $1,250 one-time and $2,500–$3,000 per month [71]. Adam Silva Consulting publishes a $15,000 flat program fee [70]. CiteWorks Studio, Enleaf, The 66th, and Opositive do not publish prices for their relevant offerings [72].

Third, independent verification is scarce across the entire set. Every entity bundle shows company-owned citations materially outnumbering independent ones. The most-cited independent sources are directories and review platforms such as Clutch, G2, Trustpilot, and TechBehemoths, plus trade publications and academic work on generative engine optimization [73].

Where the AI Platforms Agreed

Questions This Section Answers

  • Which AI citation architecture agencies did the seven platforms agree on, and what capabilities did they consistently describe?

Platforms agreed on several points.

  • CiteWorks Studio leads. Four platforms named it, and three placed it first. Anthropic, Google, Grok, and Perplexity all described it as directly aligned with citation architecture, source mapping, and competitor citation benchmarking [76].
  • Citation architecture is distinct from link building. Multiple platforms described the leading providers as treating off-site mentions as an evidence layer rather than a backlink acquisition exercise [78].
  • Multi-platform coverage is expected. The qualifying entities consistently name ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot as target surfaces [80].
  • No entity guarantees outcomes. CiteWorks Studio states it commits to evidence-led improvement, not guarantees [84]. Citable Agency states it does not guarantee rankings, citations, recommendations, or external-system outputs [85]. Citevora's material frames measurement as directional [86]. Adam Silva Consulting's terms state the company does not guarantee specific business outcomes, revenue increases, search rankings, or lead volumes [e7:official:C2].
  • Pricing opacity is common. Five of seven qualifying entities lack published pricing for their relevant citation architecture offering [87].

Where the AI Platforms Disagreed

Questions This Section Answers

  • Which AI citation architecture agencies received conflicting fit ratings across the seven platforms, and why?
  • What pricing conflicts exist across platforms for Citevora, Citable Agency, and Adam Silva Consulting?

Disagreement was substantial and should not be smoothed into false consensus.

Fit ratings diverged sharply. DeepSeek rated CiteWorks Studio uncertain because its website could not be independently accessed [90], while Google and Grok rated it strong. Anthropic rated Citevora uncertain because no independent verification was found [91], while DeepSeek, Grok, and Perplexity rated it strong. Kimi rated Adam Silva Consulting uncertain because no independent sources confirmed the company's programs [92], while Google and Grok rated it strong.

Pricing conflicts are material. For Citevora, OpenAI and Perplexity reported $1,250–$3,000 starting points [93], while Google reported $3,500–$7,500 audits and $4,000–$12,000 monthly retainers [94]. For Citable Agency, Anthropic reported an AI Visibility Audit at €1,200 and retainers from €640/month [95], while the official pricing page and other platforms report €1,800–€5,400 audits and €1,500–€6,000 monthly ranges [96].

Product naming conflicts exist. Google flagged that the "Citation Schema Stack" as a seven-layer architecture belongs to Digital Strategy Force, not CiteWorks Studio, which describes three layers [98]. The "Seven-Layer Citation Architecture Program" referenced in the ranking stage was not found as a clearly priced, standardized public plan [99]. Adam Silva Consulting's program is referred to as both the 90-Day Authority Building Program and the 90-Day Citation Program [100].

Company-size and geography conflicts exist. Anthropic reported conflicting employee and revenue figures for Adam Silva Consulting across Crunchbase, Trustpilot, and D&B [101]. Perplexity reported that Citevora's public contact data points to Kumasi, Ghana rather than a documented U.S. office [102]. Google reported that Citevora was founded in June 2026 [94].

How Buyers Should Choose

Questions This Section Answers

  • What should a buyer check before choosing an AI citation architecture agency for source mapping and citation measurement?
  • Which AI citation architecture agency should a buyer choose if they need published pricing before a sales call?

Start with the decision the buyer needs to make, not the vendor list.

If the buyer needs a diagnostic first. Citable Agency publishes the most defined audit scope with fixed fees and a 90-day roadmap with owners [103]. Citevora publishes the lowest entry price at $1,250 one-time [104]. Adam Silva Consulting offers a $5,000 AEO Audit as a narrower diagnostic [105].

If the buyer needs a managed program. Enleaf offers a 12-month Authority Engineering plan [106]. Opositive offers an ongoing retainer with six workstreams [107]. The 66th bundles GEO inside SEO engagements [108].

If the buyer needs the broadest source-layer coverage. CiteWorks Studio's stated scope spans owned, third-party, review, comparison, community, video, and industry sources with live citation-gap status [109].

If the buyer needs published pricing. Citable Agency, Citevora, and Adam Silva Consulting publish figures; CiteWorks Studio, Enleaf, The 66th, and Opositive do not [103].

Verification checklist for any vendor. Confirm which AI platforms, prompts, geographies, languages, and competitors are monitored; how citations, mentions, recommendations, and share of voice are defined; whether raw prompt outputs and cited URLs are delivered; what portion of work is strategy versus implementation, content, digital PR, and third-party placement; and the exact price, minimum term, payment schedule, cancellation notice, renewal, and refund terms [111].

Methodology

This index was produced from a single standardized prompt sent once to each of seven included platforms: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google. The prompt asked which agencies would be recommended for AI citation architecture — mapping influential sources, analyzing competitor citation pathways, identifying authority gaps, strengthening source coverage, and measuring whether those changes improve AI citations and recommendations — and why.

The ranking rule was applied in this order: number of platform mentions during ranking discovery, then average listed rank, then best listed rank. The final ranking table is the sole authority for rank, platform mentions, platform share, average rank, and best rank. Platform mentions count only ranking-discovery mentions; a platform that completed a fit assessment without naming the entity during ranking discovery is not counted.

Eligibility required an entity to be named by at least two platforms. Of 45 unique entities named across the seven platform responses, 7 qualified.

Entity evidence bundles supplied the buyer-fit, feature, pricing, strength, limitation, and disagreement detail. Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations across every entity bundle, so vendor capability and outcome claims should be treated as company-reported unless an independent source is explicitly cited.

Methodology Limitations

  • The study used one standardized prompt sent once to each included platform. A single prompt cannot represent the full range of buyer questions in this category.
  • AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. Results are not reproducible in the way a controlled benchmark would be.
  • Platform-reported research dates differ from the authoritative run date of 2026-09-16. Anthropic and DeepSeek reported 2026-01-15 for CiteWorks Studio; DeepSeek reported 2026-02-14 for Enleaf, 2026-06-01 for The 66th, 2026-01-15 for Opositive, 2026-06-11 for Citable Agency, and 2026-06-30 for Adam Silva Consulting. These dates are provenance metadata and do not independently prove freshness.
  • DeepSeek's research capability for this run had search disabled, so its claims rest on model knowledge rather than retrieved sources and require explicit verification before being described as current facts.
  • The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
  • Company-owned citations materially outnumber independent citations. Do not read company claims as independently verified.
  • Platform recommendations are market intelligence, not independent customer reviews or proof of quality.
  • Conflicting product names, pricing, and capabilities were described rather than resolved. Buyers should verify each conflict directly with the vendor.
  • Several entities' official websites were intermittently difficult to fetch or returned 404s on terms pages, which limits what could be confirmed about contractual terms.

Final Verdict

CiteWorks Studio is the consensus leader for AI citation architecture, with the most platform mentions and the strongest average position, and the broadest stated coverage of the source layer AI systems rely on. Citevora is the strongest alternative for buyers who want a published, low-cost diagnostic entry point before committing to a retainer. Enleaf suits buyers who want a managed 12-month authority program. The 66th suits buyers who need implementation bundled with SEO. Opositive suits buyers whose AI recommendations depend on reviews, Reddit, listicles, and directories. Citable Agency suits buyers who want fixed-fee audits with a defined 90-day roadmap. Adam Silva Consulting suits buyers who want a fixed-scope 90-day program with content production and schema deployment.

No entity in this index publishes independently verified evidence that its work increased AI citations or recommendations. Buyers should treat every capability and outcome claim as company-reported until verified through references, raw measurement data, and contractual terms.

Frequently Asked Questions

How many platforms were studied? Seven: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google.

How many entities qualified? Seven of 45 unique entities named, using the rule that an entity must be named by at least two platforms.

Which agency ranked first? CiteWorks Studio, with 4 platform mentions, a 57.1% share of platform responses, an average listed position of 1.25, and a best position of 1.

Does a higher rank mean better results? No. Rank reflects how often and how highly platforms named an entity during ranking discovery. It is not a measure of delivered outcomes.

Which agencies publish pricing? Citable Agency publishes fixed audit fees of €1,800, €3,800, and €5,400. Citevora publishes starting prices from $1,250 one-time and $2,500–$3,000 per month. Adam Silva Consulting publishes a $15,000 flat 90-day program fee and a $5,000 AEO Audit.

Do any agencies guarantee AI citations or recommendations? No. CiteWorks Studio, Citable Agency, Citevora, and Adam Silva Consulting all state or imply that outcomes are not guaranteed.

Why do platforms disagree about the same agency? Platforms retrieved different sources, used different models, and in one case ran without search enabled. Some platforms could not access a vendor's website and rated fit uncertain as a result.

Consolidated Sources

Company-Owned Sources

Independent Sources

Other Sources

  • GEO agencies in Spain 2026: who's who: https://citable.agency/journal/geo-agencies-spain/ Explore more ai citation authority building guidance in the category directory.
  • Additional AI research evidence111 records
    1. AI research evidence record e1:anthropic:c2
    2. AI research evidence record e1:openai:c2
    3. AI research evidence record e1:google:1.2.6
    4. AI research evidence record e1:anthropic:c5
    5. AI research evidence record e1:anthropic:c4
    6. AI research evidence record e1:openai:c3
    7. AI research evidence record e1:anthropic:c8
    8. AI research evidence record e1:openai:c5
    9. AI research evidence record e1:openai:c6
    10. AI research evidence record e1:anthropic:c6
    11. AI research evidence record e1:perplexity:c5
    12. AI research evidence record e1:deepseek:c1
    13. AI research evidence record e1:openai:c4
    14. AI research evidence record e2:openai:c1
    15. AI research evidence record e2:openai:c2
    16. AI research evidence record e2:deepseek:c5
    17. AI research evidence record e2:openai:c3
    18. AI research evidence record e2:perplexity:c5
    19. AI research evidence record e2:perplexity:c9
    20. AI research evidence record e2:google:1.1.5
    21. AI research evidence record e2:anthropic:c1
    22. AI research evidence record e3:openai:enleaf_ai_seo
    23. AI research evidence record e3:google:source_enleaf_ai_seo
    24. AI research evidence record e3:anthropic:c3
    25. AI research evidence record e3:deepseek:c1
    26. AI research evidence record e3:perplexity:c1
    27. AI research evidence record e3:anthropic:c12
    28. AI research evidence record e3:grok:web:4
    29. AI research evidence record e3:kimi:enleaf_1
    30. AI research evidence record e4:openai:c1
    31. AI research evidence record e4:google:the66th_honest_geo
    32. AI research evidence record e4:perplexity:c4
    33. AI research evidence record e4:google:the66th_geo_page
    34. AI research evidence record e4:openai:c2
    35. AI research evidence record e4:openai:c7
    36. AI research evidence record e4:openai:c5
    37. AI research evidence record e4:openai:c8
    38. AI research evidence record e4:google:the66th_seo_services
    39. AI research evidence record e4:grok:web:0
    40. AI research evidence record e4:anthropic:22-19
    41. AI research evidence record e5:openai:c1
    42. AI research evidence record e5:anthropic:c8
    43. AI research evidence record e5:google:2.1.9
    44. AI research evidence record e5:deepseek:c1
    45. AI research evidence record e5:openai:c2
    46. AI research evidence record e5:google:2.2.3
    47. AI research evidence record e5:kimi:source_1
    48. AI research evidence record e6:openai:citable-pricing
    49. AI research evidence record e6:anthropic:7-1
    50. AI research evidence record e6:openai:citable-home
    51. AI research evidence record e6:openai:citable-self-audit
    52. AI research evidence record e6:openai:citable-us
    53. AI research evidence record e6:perplexity:c6
    54. AI research evidence record e6:anthropic:13-2
    55. AI research evidence record e6:deepseek:c1
    56. AI research evidence record e6:google:citable_homepage
    57. AI research evidence record e7:openai:c1
    58. AI research evidence record e7:openai:c2
    59. AI research evidence record e7:anthropic:13-6
    60. AI research evidence record e7:google:1.1.3
    61. AI research evidence record e7:anthropic:2-3
    62. AI research evidence record e7:kimi:search_1
    63. AI research evidence record e7:anthropic:21-3
    64. AI research evidence record e1:openai:c2
    65. AI research evidence record e2:openai:c2
    66. AI research evidence record e6:openai:citable-pricing
    67. AI research evidence record e3:openai:enleaf_ai_seo
    68. AI research evidence record e4:openai:c1
    69. AI research evidence record e5:openai:c1
    70. AI research evidence record e7:openai:c1
    71. AI research evidence record e2:openai:c1
    72. AI research evidence record e1:openai:c5
    73. AI research evidence record e2:openai:c5
    74. AI research evidence record e4:openai:c7
    75. AI research evidence record e7:perplexity:c9
    76. AI research evidence record e1:anthropic:c2
    77. AI research evidence record e1:google:1.2.6
    78. AI research evidence record e1:anthropic:c5
    79. AI research evidence record e5:anthropic:c8
    80. AI research evidence record e1:anthropic:c4
    81. AI research evidence record e2:deepseek:c5
    82. AI research evidence record e3:openai:enleaf_ai_seo
    83. AI research evidence record e4:perplexity:c4
    84. AI research evidence record e1:anthropic:c6
    85. AI research evidence record e6:openai:citable-home
    86. AI research evidence record e2:openai:c4
    87. AI research evidence record e1:openai:c5
    88. AI research evidence record e4:openai:c1
    89. AI research evidence record e5:openai:c1
    90. AI research evidence record e1:deepseek:c1
    91. AI research evidence record e2:anthropic:c1
    92. AI research evidence record e7:kimi:search_1
    93. AI research evidence record e2:openai:c1
    94. AI research evidence record e2:google:1.1.5
    95. AI research evidence record e6:anthropic:13-2
    96. AI research evidence record e6:openai:citable-pricing
    97. AI research evidence record e6:perplexity:c6
    98. AI research evidence record e1:google:1.2.6
    99. AI research evidence record e1:openai:c4
    100. AI research evidence record e7:openai:c1
    101. AI research evidence record e7:anthropic:21-3
    102. AI research evidence record e2:perplexity:c9
    103. AI research evidence record e6:openai:citable-pricing
    104. AI research evidence record e2:openai:c1
    105. AI research evidence record e7:openai:c2
    106. AI research evidence record e3:openai:enleaf_ai_seo
    107. AI research evidence record e5:openai:c1
    108. AI research evidence record e4:google:the66th_honest_geo
    109. AI research evidence record e1:anthropic:c2
    110. AI research evidence record e7:openai:c1
    111. AI research evidence record e1:openai:c5

Platform-by-platform recommendations

Numbers show recorded recommendation position. A dash means no qualifying recommendation was recorded in a usable response. Unusable responses are not negative votes.

Qualified entities in this research snapshot
PlatformCiteWorks StudioRelated companyCitevoraEnleafThe 66thOpositiveCitable AgencyAdam Silva Consulting
ChatGPT—#1—————
Claude#1—————#3
DeepSeek—#2#1—#5#7—
Grok#1——#2——#8
Perplexity#2——————
Kimi—#1#2—#4#3—
Gemini#1——#2———

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
October 4, 2026
Platforms analyzed
7
Candidates reviewed
45
Qualified finalists
7

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

165 total · 44 independent · 120 company-owned · 1 unclear

Evidence support

127 direct · 25 partial

Important limitation

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.

Source snapshot SHA-256 e926d18f7c63fbd22f5271e846be38e60eb053905c16864be4ba44cdb0308c3d