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Directive Consulting AI Search Agency Fit Review for High-Intent Commercial Prompts

Directive Consulting is a good fit for B2B companies that want GEO tied to pipeline and revenue, but it is not a clean fit for buyers who need standalone prompt-monitoring or independently audited recommendation benchmarks.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

Directive Consulting is a good fit for B2B companies that want GEO tied to pipeline and revenue, but it is not a clean fit for buyers who need standalone prompt-monitoring or independently audited recommendation benchmarks. Three of seven platforms named Directive during the ranking stage — Anthropic, Google, and Grok — giving it a 42.9% share of included platform responses, an average listed rank of 5.33, and a best listed rank of 4. The strongest reason to consider it is its integrated B2B GEO, SEO, content, digital PR, and revenue-attribution model. The main limitation is that pricing, contract terms, and prompt-level methodology are not publicly verified.

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (Anthropic, Google, Grok)
Share of included platform responses42.9%
Average listed rank5.33
Best listed rank4
Relevant product/model/planDirective AI Visibility and GEO Services; B2B revenue-attribution GEO programs; Enterprise B2B GEO and performance marketing
Overall use-case fitGood (platform-reported; not independently verified)
Research date2026-09-18

Why Directive Consulting Qualified for This Study

Questions This Section Answers

  • Is Directive Consulting a good choice for AI Search Agencies for High-Intent Commercial Prompts?
  • What qualifies Directive Consulting to be ranked for high-intent commercial prompt work?

Directive Consulting qualified because three of the seven included platforms named it during ranking discovery for this use case, and because its public materials describe a B2B GEO service that maps directly to high-intent commercial prompts. Anthropic, Google, and Grok each listed Directive; the other four platforms evaluated fit but did not name it in the ranking stage [1].

The qualification rests on three supplied signals. First, Directive publicly markets GEO and AI-visibility services inside an enterprise B2B performance-marketing and revenue-attribution offering [5]. Second, independent roundups and directories place it in B2B GEO agency lists, including Thrive, Digital Elevator, IT Supply Chain, LoudFace, and DerivateX [7]. Third, Clutch lists 56 verified client reviews averaging 4.8 stars [12].

Buyers comparing this agency against the wider field can start with the AI Search Agencies for High-Intent Commercial Prompts consensus index, which aggregates the same platform responses used here.

The Product, Model, Plan, or Service Most Relevant to AI Search Agencies for High-Intent Commercial Prompts

Questions This Section Answers

  • Which Directive Consulting service should a buyer choose for high-intent commercial prompt visibility?
  • Does Directive Consulting offer a standalone GEO plan, or is GEO only sold inside a broader performance marketing retainer?

The most relevant offering is Directive's GEO and AI-visibility service, sold as part of an enterprise B2B performance-marketing engagement rather than as a clearly separated standalone product. The supplied recommended-service labels are "Directive AI Visibility and GEO Services," "B2B revenue-attribution GEO programs," and "Enterprise B2B GEO and performance marketing" [13].

Directive's GEO service page describes AI-ready content architecture, structured data, embeddings, authority signals, digital PR, and visibility across ChatGPT, Perplexity, Gemini, Google, and Bing-related experiences [16]. Its AEO page covers answer mapping for B2B [17]. Its performance division frames the work around qualified pipeline, revenue accountability, SEO, GEO, paid media, and RevOps for complex buying cycles [13].

One unresolved packaging question: it is unclear whether GEO is available as a standalone service or only bundled with broader SEO and performance-marketing retainers [19]. Buyers who want GEO-only execution should confirm this before qualification.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Directive Consulting does well for high-intent commercial prompt work?
  • Is Directive Consulting's B2B revenue attribution model relevant to high-intent commercial prompts?

Platforms broadly agreed on three points: Directive is B2B-focused, it connects GEO to revenue attribution, and it combines strategy with execution rather than offering monitoring alone.

On B2B focus, Anthropic, Google, Grok, and Perplexity all describe Directive as an enterprise or B2B SaaS specialist [20]. Independent sources report Directive was founded in 2014, works exclusively with technology companies, and has served 420+ B2B brands with $1B+ in documented client revenue [24].

On revenue attribution, OpenAI, Anthropic, Perplexity, and Google all note that Directive ties GEO visibility to pipeline, SQLs, or revenue rather than traffic alone [27]. Directive's own materials describe DiscoverabilityOS and performance reporting tied to SQLs, pipeline value, and revenue [27].

On execution scope, platforms agreed Directive combines GEO with technical SEO, content production, digital PR, paid media, and RevOps [31]. This matters for buyers who want one vendor rather than coordinating a monitoring tool plus a content shop plus a PR firm.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do AI platforms disagree about whether Directive Consulting is a strong fit for high-intent commercial prompts?
  • Is Directive Consulting's prompt-tracking methodology independently verified?

Fit ratings diverged sharply across the seven platforms: Google and Grok rated Directive a "strong" fit; OpenAI, Anthropic, and Perplexity rated it "good"; DeepSeek rated it "mixed"; and Kimi rated it "uncertain." That spread is the clearest signal in this study — the disagreement is not about whether Directive does GEO, but about how much of the specific high-intent prompt machinery is publicly verifiable.

The core uncertainty is methodology. OpenAI states that prompt-level methodology, reporting cadence, model coverage, citation-source attribution, and recommendation-share definitions are not fully public [34]. Anthropic notes that Directive's materials do not detail proprietary citation-tracking or source-influence analysis comparable to competitors such as Walker Sands, Omniscient Digital, or Bluefish [35]. Kimi states that no public evidence confirms fixed prompt sets or controlled prompt methodologies [36]. DeepSeek found no verifiable public detail on high-intent prompt discovery, recommendation-visibility benchmarking, or citation-architecture mapping [37].

A second conflict involves visibility figures. Directive reports a 24% AI brand-mention share in one case study and a #1 tracked-agency position elsewhere; the measurement windows and methodologies are unclear [34]. A third-party index reports a 24/100 AI visibility score for Directive, which is a different metric and should be treated as platform-reported rather than audited [38].

A third uncertainty involves the Stratos platform. Anthropic reports that job postings from September 2026 indicate Directive is transitioning the Stratos web layer from an external vendor to in-house development, suggesting the platform is still evolving [39].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Which Directive Consulting capabilities matter most for identifying and winning high-intent commercial prompts?
  • Can Directive Consulting map the citation sources that influence AI answers for commercial prompts?

Directive's public materials describe capabilities that map to each stage of the buyer's stated need, though most evidence is company-owned.

High-intent prompt identification. Directive describes content, SEO, GEO, and paid-search programs built around how buyers research, evaluate, and shortlist solutions, including bottom-of-funnel queries [41]. Its GEO content describes mapping entities and intents and tracking citation share, AI citation rate, response inclusion rate, and share of SERP across ChatGPT, Perplexity, Gemini, and Google AI Overviews [43]. Anthropic reports a Case Status case study in which Directive restructured content into Q&A formats and optimized high-intent terms such as "best client portals" and "what is a client portal," reaching dominance across 39+ tracked prompts within nine months [45].

Recommendation visibility benchmarking. Directive claims tracked LLM visibility share and reports a 24% AI brand-mention share in one case study [47]. Google reports that Directive tracks AI inclusion, citation frequency, and prompt-specific dashboards rather than traditional rankings [48]. The benchmark methodology itself is not public.

Competitor analysis. Directive reports comparing its AI visibility with competitors and states its brand appeared more than twice as often as the next closest competitor in tracked prompts [47]. Whether equivalent competitor analysis is included in every client engagement, and how competitors are selected, is not established publicly.

Citation architecture and influencing sources. Directive explicitly describes aligning content with how generative engines retrieve, summarize, and cite trusted sources, using structured data, embeddings, authority signals, digital PR, third-party mentions, and AI-ready content architecture [49]. Its GEO strategy guide recommends mapping entities and intents, maintaining an evidence bank and citation log, using schema and internal anchors, and running a freshness tracker [43]. Its published playbook describes answer-first writing with 40–80 word Quick Answers, question-based headings, and mapping 3–6 related entities on priority pages [51]. No published evidence shows a proprietary citation-source mapping product comparable to Walker Sands' AI Domain Impact Index [52].

Strategy and execution. The offering combines GEO, technical SEO, content production, digital PR, paid media, and RevOps or revenue reporting [49]. A published case study describes technical enhancements, content optimization, and dual-channel planning for SEO and LLM visibility [53].

Revenue measurement. Directive positions its programs around qualified pipeline, SQLs, pipeline value, revenue, and ROI [41]. One case study reports a 56% lift in AI search visibility contributing to 162% organic traffic growth and $2.87M in non-branded revenue [56].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Directive Consulting cost per month for a GEO or AI visibility engagement?
  • Are there setup fees, minimum contract terms, or cancellation fees with Directive Consulting?

Directive does not publish pricing for its GEO, AI Visibility, or enterprise B2B performance offering, and no verified public price was found in the reviewed sources [57]. Reported ranges conflict across sources and should be treated as third-party estimates, not quotes.

Cost itemReported figureSource type
Startup package$6,500/month, no annual contractCompany page
Typical enterprise/mid-market retainer$10,000–$50,000/monthIndependent review
Most common Clutch-reported engagement$10,000–$49,000Independent review
Enterprise accounts, multi-channelCan exceed $30,000/monthIndependent review
Market-level enterprise SEO guidance$7,000–$60,000+ per monthCompany article, not Directive-specific
Clutch client-reported annual range$10,000–$60,000+ annuallyIndependent directory

Contract terms are also unverified. Directive's own article describes six-to-twelve-month minimum commitments and 30-to-60-day exit clauses as common market structures, not confirmed contractual terms [57]. Independent sources report contracts usually run six months or longer [60], while the startup package carries no annual commitment [61]. Whether media spend, third-party monitoring tools, digital PR placements, content production, engineering, or data-integration work are billed separately is unclear [57].

Best Suited For

Questions This Section Answers

  • Who is Directive Consulting best suited for in high-intent commercial prompt work?
  • Is Directive Consulting worth it for enterprise B2B teams with complex buying cycles?

Directive is best suited to B2B companies with complex, high-value buying cycles and revenue-accountable marketing teams [62]. The strongest fit profile combines four traits: enterprise or growth-stage scale, a multi-touch sales motion, willingness to run an ongoing strategic engagement, and a preference for pipeline and revenue attribution over visibility metrics alone [62].

It also suits buyers who want GEO combined with technical SEO, content, digital PR, paid media, and RevOps in one engagement rather than coordinated across vendors [65]. Independent sources describe Directive as a strong fit for later-stage B2B SaaS companies that need GEO connected to demand generation and pipeline [63], and as better suited than generalist options for enterprise B2B brands [67].

Buyers targeting high-intent comparison prompts — "best of," "vs.," and alternative queries — and category definitions in ChatGPT, Perplexity, and Google AI Overviews are the clearest match [68].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Directive Consulting for high-intent commercial prompt work?
  • Is Directive Consulting a poor fit for buyers who need only a one-time prompt benchmark?

Directive is probably not the best choice for small buyers seeking a low-cost, self-service AI-search monitoring tool, or for companies needing only a one-time prompt benchmark or citation audit [70]. The engagement model is built around ongoing strategy and execution, not a diagnostic deliverable.

It is also a weaker fit for buyers who require publicly documented, standardized pricing and contract terms before qualification [72], and for organizations without usable CRM, analytics, content, or implementation capacity — Directive's own lifecycle guidance states that CRM infrastructure is foundational for some revenue-attributed programs [74].

Buyers outside B2B SaaS and enterprise software should weigh fit carefully. DeepSeek notes that Directive's B2B SaaS orientation may not match buyers outside that segment [75], and Google states the strategy focuses narrowly on commercial B2B, making it less transferable to low-margin B2C transactional queries [76]. Buyers who need strictly independent citation-tracking analytics or specialized AI visibility software should note that Directive's core strength is strategy and integrated execution, not proprietary monitoring tools [71].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Directive Consulting for a buyer who needs standalone citation tracking?
  • When should a buyer choose a dedicated GEO monitoring platform instead of Directive Consulting?

Another option may be better in five situations the platforms described.

When continuous prompt tracking is the primary need. Choose a dedicated AI-search visibility intelligence platform when the main requirement is continuous prompt tracking, competitor benchmarking, citation monitoring, and standardized dashboards rather than managed execution [77]. Named alternatives include Otterly.AI, Profound, Semrush AI Toolkit, and Bluefish [78].

When the budget is under roughly $6,500/month. Smaller GEO specialists may fit better, including DerivateX at $3,500–$8,000/month, Siege Media for link-building content, or Digital Elevator for 30-day AI Visibility audits [78]. Kimi names Rankite from $900/month and Foundgrove from $2,500/month as transparent-pricing alternatives [79].

When the bottleneck is technical or earned media. Choose a specialist technical SEO or digital-PR agency when the main constraint is crawlability, authoritative third-party coverage, or link and mention acquisition [77]. Walker Sands' AI Domain Impact Index tracks which earned media sources most influence LLM citation behavior [81].

When the buyer already has strong in-house teams. Choose an in-house or narrowly scoped consultant when the buyer already has strong content, SEO, analytics, and RevOps teams and only needs prompt research or strategic validation [77].

When GEO-only execution is required. Buyers seeking GEO-only execution without paid media, content creation, or RevOps may find the service scope misaligned or overpriced [78]. Kimi notes that agencies with documented prompt-set methodologies and public pricing — Rankite, Foundgrove, FORKOFF, and The Business Rover — offer more evaluable alternatives for standalone GEO needs [82].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Directive Consulting before signing a GEO contract?
  • How can a buyer verify Directive Consulting's prompt-tracking and citation-mapping methodology?

The platforms converged on a consistent verification list. Buyers should confirm scope, measurement, and commercial terms in writing before signing.

Scope and coverage. Which AI platforms, models, regions, languages, and prompt categories will be monitored [84]? How are high-intent commercial prompts discovered, classified, deduplicated, and prioritized [84]? How many prompts, engines, and competitor domains are included in the benchmark [85]? Is GEO available as a standalone service with its own pricing and contract, or only bundled with broader performance-marketing programs [86]?

Measurement and reporting. Will reporting show brand mention rate, recommendation rank, sentiment, cited URLs, citation share, competitor comparisons, and changes over time [84]? Can Directive identify the specific sources influencing answers and separate controllable from uncontrollable sources [84]? What baseline and target metrics will be agreed, and how will AI visibility be connected to qualified pipeline and revenue [84]? Is prompt monitoring performed with a proprietary system, a named third-party platform, or a combination [84]?

Deliverables and execution. What deliverables are included for technical changes, content, digital PR, third-party listings, structured data, and implementation [84]? Does the proposed scope include executing technical schema changes directly on the buyer's CMS, or does it focus purely on strategic recommendations [87]?

Commercial terms. What are the minimum term, renewal, cancellation, notice, payment, and change-order provisions [84]? Are media spend, software, data integrations, content production, engineering, and third-party placements included or extra [84]? Do you own all content, analytics data, ad accounts, and campaign assets, or does Directive retain ownership [88]?

References. Can Directive provide independently verifiable references from companies with similar high-intent B2B prompts and sales cycles [84]? Can it provide 2–3 case studies from the buyer's vertical showing specific prompts, visibility baseline, and attributed revenue [88]?

Final AI Consensus Verdict

Directive Consulting is a good fit for B2B companies that need high-intent AI-search strategy tied to content, authority, pipeline, and revenue. It is not yet a fully transparent choice for buyers requiring standardized prompt-monitoring methodology, independently verified recommendation benchmarks, or published pricing and contract terms [89].

The consensus is directional rather than unanimous. Five of seven platforms rated Directive good or strong; two rated it mixed or uncertain. The disagreement centers on verifiability, not capability. Company-owned citations materially outnumber independent citations in this study, so claims about outcomes and methodology should be treated as company-reported until a buyer verifies them directly.

Buyers who want an integrated B2B GEO and performance-marketing partner with revenue attribution should shortlist Directive. Buyers who want a standalone prompt-monitoring platform, a fixed-price pilot, or independently audited visibility benchmarks should compare against dedicated monitoring tools and transparent-pricing GEO specialists before committing.

How This Review Was Produced

This review synthesizes platform-reported fit research collected for the use case "AI Search Agencies for High-Intent Commercial Prompts" under the base category ai search geo agencies. Seven platforms evaluated Directive Consulting's fit: OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi. Three of those seven named Directive during ranking discovery.

The study used the supplied research date of 2026-09-18 as the authoritative study date. Platform-reported research dates are provenance metadata and do not independently prove freshness. All included platforms evaluated fit, but the platform-mention count reflects only platforms that named the entity during ranking discovery.

Citations in this review are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated at the writing stage. No personal testing, customer experience, or independent verification was performed.

Methodology Limitations

Several limitations apply to this review.

Source imbalance. Company-owned citations materially outnumber independent citations in the supplied evidence. Directive-owned pages and case studies support most capability and outcome claims; independent evidence on service quality, pricing, and outcomes is limited [92].

Date discrepancies. DeepSeek's platform-reported research date is 2026-01-15, while the authoritative run research date is 2026-09-18. Other platforms reported 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.

No-search model. DeepSeek's research ran with search disabled, so its findings rest on model knowledge rather than retrieved evidence and require explicit verification before being treated as current facts.

Unverified pricing and terms. No verified public price or standard package structure was found for Directive's GEO or enterprise performance services. Reported ranges conflict across sources and should not be treated as quotes [94].

Methodology opacity. Prompt-level methodology, reporting cadence, model coverage, citation-source attribution, and recommendation-share definitions are not fully public [97].

Packaging ambiguity. The supplied recommended-service labels are not all presented as standardized public product names, and it is unclear whether GEO is sold standalone or only bundled [92].

Platform-reported outcomes. Reported visibility and revenue outcomes are company claims or company case-study results, not independent audits. AI-search visibility is affected by third-party sources and model behavior; no guaranteed recommendation placement should be assumed [92].

Identity audit note. The deterministic identity audit records that official-site retrieval failed for one or more mentions and that a product-labeled company mention was merged using matching company-name and supplied-domain signatures. No failed fetch was used as a verified domain key.

Sources

Company-Owned Sources

Independent Sources

  • Top GEO Agencies by Industry (2026) | The AI Journal: https://aijourn.com/top-geo-agencies-by-industry-2026/
  • Directive Reviews (56), Pricing, Services & Verified Ratings: https://clutch.co/profile/directive
  • 5 Best GEO Agencies for HR Tech SaaS in 2026: https://derivatex.agency/blog/best-geo-agencies-hr-tech-saas/
  • The 7 Best GEO Agencies for MarTech and Sales Tech SaaS in 2026: https://derivatex.agency/blog/best-geo-agencies-martech-sales-tech-saas/
  • Directive Consulting Pricing in 2026: Sourced, Not Guessed: https://get-ryze.ai/blog/directive-consulting-pricing/
  • Best GEO Agencies for B2B in 2026: 8 Firms to Know: https://growleads.io/blog/best-geo-agencies-for-b2b/
  • 10 GEO Agencies for B2B AI Search Visibility - IT Supply Chain: https://itsupplychain.com/10-geo-agencies-for-b2b-ai-search-visibility/
  • Directive Consulting — AI visibility score 24/100: https://llm-visibility-index.com/company/directive-consulting/
  • Directive Consulting Review 2026: Pricing, Features, Pros & Cons | SalesHive: https://saleshive.com/vendors/directive-consulting
  • The 12 Best Generative Engine Optimization (GEO) Agencies of 2026 | Digital Elevator: https://thedigitalelevator.com/blog/best-generative-engine-optimization-geo-agencies/
  • Best GEO Agencies for AI Overviews Optimization in 2026 | Thrive: https://thriveagency.com/news/best-geo-agencies-for-ai-overviews-optimization/
  • Directive — GEO Agency Profile | TopGEOAgencies.com: https://topgeoagencies.com/agencies/directive
  • Directive GEO Agency Review - Top GEO Agencies: https://topgeoagencies.net/agencies/directive
  • Directive Consulting Pricing 2026: Sourced, Not Guessed: https://www.get-ryze.ai/blog/directive-consulting-pricing-2026
  • Directive Consulting Vs. groas In 2026: B2B Google Ads, Pricing, And Which Actually Drives Pipeline: https://www.groas.com/post/directive-consulting-vs-groas-b2b-google-ads-pricing-comparison-2026
  • 16 Best GEO Agencies Ranked by AI Citations | LoudFace: https://www.loudface.co/blog/best-geo-agencies-b2b-saas-2026
  • Directive Consulting Pricing 2026: Agency Costs Explained: https://www.miniloop.ai/blog/directive-pricing
  • Best GEO Tools Guide: AI Search Visibility Platforms in 2026: https://www.stackmatix.com/blog/geo-tools-guide
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    12. AI research evidence record anthropic:19-4
    13. AI research evidence record openai:c1
    14. AI research evidence record anthropic:1-1
    15. AI research evidence record google:directive_geo_leader
    16. AI research evidence record openai:c5
    17. AI research evidence record grok:1
    18. AI research evidence record perplexity:14
    19. AI research evidence record kimi:directive_official
    20. AI research evidence record anthropic:8-1
    21. AI research evidence record google:directive_geo_leader
    22. AI research evidence record grok:6
    23. AI research evidence record perplexity:5
    24. AI research evidence record anthropic:40-3
    25. AI research evidence record anthropic:40-5
    26. AI research evidence record anthropic:23-30
    27. AI research evidence record openai:c3
    28. AI research evidence record anthropic:40-4
    29. AI research evidence record perplexity:1
    30. AI research evidence record google:directive_geo_kpis
    31. AI research evidence record openai:c5
    32. AI research evidence record anthropic:20-7
    33. AI research evidence record anthropic:8-2
    34. AI research evidence record openai:c4
    35. AI research evidence record anthropic:40-11
    36. AI research evidence record kimi:directive_official
    37. AI research evidence record deepseek:c1
    38. AI research evidence record perplexity:3
    39. AI research evidence record anthropic:37-5
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    81. AI research evidence record anthropic:40-11
    82. AI research evidence record kimi:forkoff_geo
    83. AI research evidence record kimi:business_rover
    84. AI research evidence record openai:c1
    85. AI research evidence record perplexity:1
    86. AI research evidence record kimi:directive_official
    87. AI research evidence record google:directive_geo_kpis
    88. AI research evidence record anthropic:1-1
    89. AI research evidence record openai:c1
    90. AI research evidence record anthropic:1-1
    91. AI research evidence record deepseek:c1
    92. AI research evidence record openai:c1
    93. AI research evidence record anthropic:1-1
    94. AI research evidence record openai:c10
    95. AI research evidence record anthropic:23-2
    96. AI research evidence record google:clutch_directive_profile
    97. AI research evidence record openai:c4
    98. AI research evidence record kimi:directive_official

Other Sources

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    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:1-1
    3. AI research evidence record google:directive_geo_leader
    4. AI research evidence record grok:0
    5. AI research evidence record deepseek:c1
    6. AI research evidence record kimi:directive_official
    7. AI research evidence record anthropic:3-1
    8. AI research evidence record anthropic:9-7
    9. AI research evidence record anthropic:8-1
    10. AI research evidence record anthropic:33-1
    11. AI research evidence record anthropic:30-2
    12. AI research evidence record anthropic:19-4
    13. AI research evidence record openai:c1
    14. AI research evidence record anthropic:1-1
    15. AI research evidence record google:directive_geo_leader
    16. AI research evidence record openai:c5
    17. AI research evidence record grok:1
    18. AI research evidence record perplexity:14
    19. AI research evidence record kimi:directive_official
    20. AI research evidence record anthropic:8-1
    21. AI research evidence record google:directive_geo_leader
    22. AI research evidence record grok:6
    23. AI research evidence record perplexity:5
    24. AI research evidence record anthropic:40-3
    25. AI research evidence record anthropic:40-5
    26. AI research evidence record anthropic:23-30
    27. AI research evidence record openai:c3
    28. AI research evidence record anthropic:40-4
    29. AI research evidence record perplexity:1
    30. AI research evidence record google:directive_geo_kpis
    31. AI research evidence record openai:c5
    32. AI research evidence record anthropic:20-7
    33. AI research evidence record anthropic:8-2
    34. AI research evidence record openai:c4
    35. AI research evidence record anthropic:40-11
    36. AI research evidence record kimi:directive_official
    37. AI research evidence record deepseek:c1
    38. AI research evidence record perplexity:3
    39. AI research evidence record anthropic:37-5
    40. AI research evidence record anthropic:37-19
    41. AI research evidence record openai:c1
    42. AI research evidence record openai:c2
    43. AI research evidence record perplexity:9
    44. AI research evidence record perplexity:11
    45. AI research evidence record anthropic:1-1
    46. AI research evidence record anthropic:1-5
    47. AI research evidence record openai:c4
    48. AI research evidence record google:directive_geo_kpis
    49. AI research evidence record openai:c5
    50. AI research evidence record openai:c6
    51. AI research evidence record google:directive_geo_playbook
    52. AI research evidence record anthropic:40-11
    53. AI research evidence record openai:c7
    54. AI research evidence record openai:c8
    55. AI research evidence record openai:c3
    56. AI research evidence record anthropic:39-10
    57. AI research evidence record openai:c10
    58. AI research evidence record deepseek:c1
    59. AI research evidence record kimi:directive_official
    60. AI research evidence record anthropic:26-2
    61. AI research evidence record anthropic:20-3
    62. AI research evidence record openai:c1
    63. AI research evidence record anthropic:30-2
    64. AI research evidence record anthropic:40-4
    65. AI research evidence record openai:c5
    66. AI research evidence record anthropic:20-7
    67. AI research evidence record anthropic:31-1
    68. AI research evidence record anthropic:3-3
    69. AI research evidence record anthropic:3-4
    70. AI research evidence record openai:c1
    71. AI research evidence record anthropic:1-1
    72. AI research evidence record openai:c10
    73. AI research evidence record kimi:directive_official
    74. AI research evidence record openai:c9
    75. AI research evidence record deepseek:c1
    76. AI research evidence record google:directive_geo_leader
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:1-1
    79. AI research evidence record kimi:rankite_geo
    80. AI research evidence record kimi:foundgrove_geo
    81. AI research evidence record anthropic:40-11
    82. AI research evidence record kimi:forkoff_geo
    83. AI research evidence record kimi:business_rover
    84. AI research evidence record openai:c1
    85. AI research evidence record perplexity:1
    86. AI research evidence record kimi:directive_official
    87. AI research evidence record google:directive_geo_kpis
    88. AI research evidence record anthropic:1-1
    89. AI research evidence record openai:c1
    90. AI research evidence record anthropic:1-1
    91. AI research evidence record deepseek:c1
    92. AI research evidence record openai:c1
    93. AI research evidence record anthropic:1-1
    94. AI research evidence record openai:c10
    95. AI research evidence record anthropic:23-2
    96. AI research evidence record google:clutch_directive_profile
    97. AI research evidence record openai:c4
    98. AI research evidence record kimi:directive_official

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Study date
September 18, 2026
Platforms analyzed
7
Source records
44
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#2

Research trail and source mix

Configured platforms

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

Source mix

19 independent · 24 company-owned · 1 unclear

Evidence support

18 direct · 8 partial

Important limitation

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Source snapshot SHA-256 c7e05f7151a6dd55b6862390f665b33db9272e40a46ff7579781593838761421