Answer Capsule
Directive Consulting is a good fit for B2B and SaaS companies that want managed Generative Engine Optimization (GEO) combined with content, technical SEO, authority building, and pipeline reporting. Three of the seven platforms in this study named Directive during the ranking stage — Google, Grok, and Perplexity — at an average listed rank of 3.67 and a best listed rank of 2. The strongest reason to consider it is that its public materials directly address AI citation tracking, entity mapping, structured data, and source-eligibility work rather than conventional SEO alone. The main limitation is verification: pricing, contract terms, measurement methodology, and citation outcomes are largely company-reported, and no public guarantee of citation gains exists.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (Google, Grok, Perplexity) |
| Share of included platform responses | 42.9% |
| Average listed rank | 3.67 |
| Best listed rank | 2 (Google) |
| Relevant product/model/plan | B2B Generative Engine Optimization (GEO) services, including AI search optimization, citation tracking, branded-impression monitoring, interaction modeling, and related SEO/content execution |
| Overall use-case fit | Good (platform fit ratings: Google "strong"; OpenAI, Anthropic, DeepSeek, Perplexity "good"; Grok "mixed"; Kimi "uncertain") |
| Research date | 2026-09-17 |
Why Directive Consulting Qualified for This Study
Questions This Section Answers
- Why did Directive Consulting qualify for this AI citation agency ranking when only 3 of 7 platforms named it?
- Is Directive Consulting a legitimate contender for earning more AI citations, or just a general B2B marketing agency?
Directive qualified because it publicly markets GEO and AI-citation services rather than only conventional SEO, and because multiple platforms independently surfaced it during ranking discovery. Three of the seven included platforms — Google, Grok, and Perplexity — named Directive in the ranking stage, giving it a 42.9% share of included platform responses, an average listed rank of 3.67, and a best listed rank of 2 [1]. The remaining four platforms evaluated fit but did not name it during ranking discovery, so its mention count is lower than its fit coverage.
The company's own service page describes B2B GEO work intended to position brands in ChatGPT, Gemini, LLMs, and AI-powered search engines, with citation tracking, branded-impression monitoring, and interaction modeling as measurement components [4]. Its broader services page states that it aims to increase presence within AI-generated search results, recommendations, and summaries [5]. Independent reviewers describe it as an enterprise B2B-focused agency connecting GEO, AEO, category strategy, and off-domain authority across ChatGPT, Perplexity, Gemini, Claude, and AI Overviews [1].
Qualification here means the entity met the study's inclusion threshold of at least two platform mentions. It does not mean the platforms verified Directive's capabilities. Most supporting citations are company-owned pages, and the deterministic audit notes that company-owned citations materially outnumber independent citations in this evidence set.
The Product, Model, Plan, or Service Most Relevant to AI Search Agencies for Earning More AI Citations
Questions This Section Answers
- Which Directive Consulting service should a B2B buyer choose specifically to earn more AI citations?
- Does Directive Consulting offer a standalone AI citation product, or is GEO bundled inside a broader retainer?
The relevant offer is Directive's B2B Generative Engine Optimization (GEO) service, which the platforms described with overlapping labels including AI search optimization, AIO, and DiscoverabilityOS [6]. No public standardized package name corresponding exactly to "B2B/SaaS GEO with citation tracking" was verified, and the exact boundary between the GEO service and broader SEO or content retainers is unclear.
Directive's stated GEO approach includes entity and topic mapping, identification of entities and topics used by LLMs, prompt testing, and review of which pages surface [6]. Its content guidance covers citation-ready content, clear claims, structured sections, entity consistency, topical depth, internal linking, and credibility signals [9]. Technical practices described include unblocking AI crawlers such as ChatGPT's and Microsoft Copilot's and deploying JSON-LD schemas for retrieval-augmented generation optimization [10].
Measurement is framed through a stated "GEO KPI Stack" including Mention Rate, AI Citation Rate, Share of Answers, and AI-Assisted Engagement [11]. A separate company article describes AI Citation Rate, Share of Answers, prompt tracking, and dashboards for tracking which URLs are cited in AI outputs over time [12]. One platform reported that Directive uses Scrunch, a third-party LLM visibility tracking platform, alongside Ahrefs, SEMrush, GA-4, and Google Search Console data [13]. No proprietary internal citation-tracking tool was documented in the reviewed sources.
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree Directive Consulting does well for earning AI citations?
- Does Directive Consulting cover citation architecture, source eligibility, and measurement over time?
Agreement was strongest on service relevance and measurement orientation. All seven platforms evaluated fit, and the majority described Directive as directionally aligned with AI citation work, though only three named it in the ranking stage.
On citation-pattern and source analysis, platforms agreed that Directive describes entity and topic mapping, prompt testing, and review of which pages surface, which is relevant to analyzing existing citation patterns and identifying content gaps [15]. One platform characterized Directive as identifying internal and third-party source ecosystems influencing AI responses through GEO audits guided by LLM behavior and analytics [17].
On citation architecture and source eligibility, platforms agreed that the stated approach includes AI-content restructuring, internal linking, structured data, metadata, semantic signals, clear definitions, FAQs, tables, and consistent terminology [15]. Directive also describes building presence on platforms such as Reddit and third-party listicles where AI algorithms look for trusted mentions [19], and developing topical authority through linked content hubs and semantic depth [21].
On measurement over time, platforms agreed that Directive states it tracks AI-driven citations, AI visibility, branded impressions, and funnel or pipeline impact using reporting and analytics systems including Stratos [15]. One platform reported dashboard reporting that tracks citations, impressions, and engagement from generative engines [24].
On platform coverage, Directive names ChatGPT, Gemini, Claude, Perplexity, Bing Copilot, Google SGE or AI Overviews, and custom enterprise LLMs among platforms it may optimize or monitor [15]. Public pages do not confirm that every named platform is included in every engagement.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Where do AI platforms disagree about Directive Consulting's fit for earning AI citations?
- How reliable is Directive Consulting's citation measurement if platforms cannot verify its methodology?
Fit ratings diverged sharply. Google rated Directive a "strong" fit; OpenAI, Anthropic, DeepSeek, and Perplexity rated it "good"; Grok rated it "mixed"; and Kimi rated it "uncertain." That spread reflects different evidence standards rather than a single settled verdict.
Grok's mixed rating rested on positioning: it described Directive's GEO as additive to existing SEO and paid media rather than a standalone specialist program, and cited a lower placement in pure GEO agency evaluations focused on citation outcomes [26]. Independent reviewers similarly noted that specialist GEO agencies may offer deeper focus for buyers whose primary need is GEO citation optimization alone [27].
Kimi's uncertain rating rested on documentation gaps: it could not confirm from public sources whether Directive's GEO services are actively delivered, pilot programs, or marketing positioning, and could not verify whether citation tracking is proprietary, third-party, or manual [29]. DeepSeek reached a similar conclusion, noting that citation-tracking metrics, tools, and reporting cadence were not independently documented [30].
Platforms also disagreed on pricing. Reported figures conflict: one independent source cites a $6,500/month startup package with no annual contract [32], another cites $5,000–$10,000/month starting ranges [33], another cites $10,000–$49,000 typical project ranges from Clutch reviews [35], and another cites retainers of $6,000–$50,000+ per month on 6–12 month terms [37]. One source claims a $399 one-time DIY course that is not confirmed by the official GEO page [38]. These conflicts are unresolved in the supplied evidence.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Directive Consulting analyze existing AI citation patterns and identify third-party sources influencing AI answers?
- Can Directive Consulting improve source eligibility and measure citation changes over time for a B2B SaaS buyer?
Against the six evaluation criteria in this study, the supplied evidence supports the following assessments.
Analyze existing citation patterns — advantage. Directive describes entity and topic mapping, identification of entities and topics used by LLMs, prompt testing, and review of which pages surface [39]. One platform reported that Directive tracks citations across ChatGPT, Perplexity, Gemini, and Google AI Overviews using Scrunch alongside Ahrefs, SEMrush, GA-4, and Google Search Console data [41].
Identify internal and third-party sources influencing AI responses — advantage with gaps. Directive's GEO framework mentions identifying cited pages, tracking competitor visibility, and flagging pages cited in AI answers [43]. It also describes building presence on Reddit and third-party listicles [45]. However, the exact third-party sources targeted, source-prioritization rules, and deliverables for external citation acquisition are unclear [47].
Evaluate citation architecture — advantage. Stated tactics include AI-content restructuring, internal linking, structured data, metadata, semantic signals, clear definitions, FAQs, tables, and consistent terminology [39]. Technical work includes resolving crawlability blocks affecting AI agents and deploying JSON-LD schemas for FAQ, Product, Organization, and Person markup [49].
Identify gaps in the broader source ecosystem — advantage with gaps. Directive targets competitive and comparison-based queries such as "Vendor A vs. Vendor B" with extractable tables, original benchmark surveys, and key-takeaway summaries [50]. It also emphasizes E-E-A-T optimization, expert author credentials, schema markup, and original quarterly data [51]. The public material does not specify a complete source-ecosystem audit methodology.
Improve source eligibility and authority — advantage. Directive builds topical authority through content hubs, semantic depth, entity optimization, and digital PR [52]. Its broader service descriptions include amplification, digital PR, link building, reviews, and brand signals [47].
Measure citation changes over time — advantage with caveats. Directive states that it tracks AI-driven citations, AI visibility, branded impressions, interaction modeling, and funnel or pipeline impact [39]. Public materials do not establish whether reporting includes reproducible prompt sets, citation share, source-level changes, answer prominence, or independent verification.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Directive Consulting cost per month for GEO and AI citation work, and are there setup or cancellation fees?
- What contract length and cancellation terms apply to Directive Consulting's GEO retainer?
Directive does not publish a fixed price for GEO services, a standard package price, minimum spend, or a published rate card. Pricing should be treated as custom and proposal-based unless Directive confirms otherwise [54].
Reported figures conflict across sources and should be treated as unverified until confirmed directly:
| Source type | Reported figure | Citation |
|---|---|---|
| Independent review | Startup package at $6,500/month with no annual contract; minimum project retainer ~$5,000/month | |
| Independent comparison | Most clients commit to annual contracts; pricing starts around $5K–$10K per month | |
| Independent review | Pricing beginning around $5K–$10K per month for paid media management | |
| Independent review | $10,000–$49,000 typical project range; 56 verified Clutch reviews; 4.8/5 rating | |
| Independent comparison | Retainers $6,000–$50,000+ per month, typically 6–12 month terms | |
| Independent report | $6,500/month startup package and a $399 one-time DIY course, not confirmed by the official GEO page | |
| Independent review | Center of gravity is five-figure B2B programs; startup packages exist so smaller companies should ask |
Additional fees are also unclear. One platform noted that media spend management fees typically run 10–20% of ad spend for paid media channels, that setup fees may apply to custom programs, and that Scrunch LLM tracking platform costs may be passed through or bundled [57]. Another noted that any separate fees for Stratos access, third-party tools, media, link building, or pass-through services should be confirmed in the proposal [54].
Contract and cancellation terms are not publicly disclosed. Minimum term, renewal, notice period, cancellation rights, ownership of produced content and data, and service-level commitments are unclear from the reviewed public sources [54]. One platform reported that engagement length is customized by proposal with no standard term length or cancellation policy disclosed publicly [57]. Another reported that standard contracts are 6 to 12 months for enterprise retainers, while the startup package is offered month-to-month [58]. These two accounts conflict and should be resolved in writing before signing.
Best Suited For
Questions This Section Answers
- Who is Directive Consulting best suited for when the goal is earning more AI citations?
- Is Directive Consulting a good choice for enterprise B2B SaaS companies that need citation tracking tied to pipeline?
Directive is best suited to B2B SaaS and technology companies with meaningful content, SEO, and third-party authority budgets [59]. Platforms converged on enterprise and mid-market B2B as the core fit, with one independent reviewer describing Directive as fitting enterprise revenue teams [60] and another describing it as the strongest option for enterprise B2B brands seeking revenue-attributed performance marketing [61].
It also suits companies that want GEO integrated with technical SEO, content production, digital PR, analytics, and pipeline reporting rather than as an isolated tactic [59]. Buyers seeking tracked visibility across ChatGPT, Perplexity, Gemini, and related AI-search surfaces are a stated fit [59]. Organizations requiring advanced CRM and pipeline attribution for AI-assisted search traffic and brand mentions are also a stated fit [63].
One platform framed the buyer profile more narrowly, describing Directive as best for enterprise B2B SaaS companies with $20M+ ARR, established marketing budgets, and need for integrated demand generation tied to pipeline outcomes [64]. That threshold is platform-reported and not confirmed by Directive's own published materials.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Directive Consulting for earning more AI citations?
- Is Directive Consulting a poor fit for small businesses or buyers who need transparent published pricing?
Directive is probably not the best fit for small buyers seeking a transparent, low-cost self-service citation-monitoring tool [65]. It is also a poor fit for companies requiring guaranteed citation volume or guaranteed AI-platform rankings, because the reviewed public materials describe methods and reported results but provide no guarantee of citation volume, recommendation placement, rankings, traffic, leads, or revenue [65].
Buyers needing fully disclosed pricing, standardized deliverables, or independently audited citation outcomes before purchase should look elsewhere or demand documentation first [65]. One platform noted that the reported $10,000–$49,000 typical engagement range eliminates growth-stage companies, SMBs, and budget-constrained teams, and that startup packages exist but are uncommon and not transparent [67].
Non-B2B and SMB businesses outside tech, SaaS, and enterprise verticals are outside the stated focus regardless of budget [69]. B2C retail or pure e-commerce brands looking for generic SEO services are also outside the stated focus [70]. Buyers who require tool-only GEO monitoring rather than a managed service should not choose an agency engagement [71].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Directive Consulting for a buyer who needs a low-cost, narrowly scoped AI citation pilot?
- When should a buyer choose a GEO-only specialist instead of Directive Consulting?
Another option may be better in several defined situations. When the primary need is low-cost prompt tracking, citation-share measurement, and repeatable reporting rather than managed content and SEO execution, a specialized AI-visibility monitoring vendor is a better fit [72]. When the buyer needs a narrowly scoped technical audit, rapid experimentation, or transparent project pricing, a smaller GEO specialist is a better fit [72].
When third-party authority, media relations, review ecosystems, and large-scale external source development matter more than an integrated B2B performance model, a full-service enterprise SEO and digital-PR agency is a better fit [72]. When the buyer is a growth-stage SaaS company in the $5M–$20M ARR range with a $3,500–$8,000/month budget, one platform recommended DerivateX for documented GEO programs, monthly AI Presence Score tracking, and citation engineering at a lower price point [73].
When the buyer needs a rapid AI visibility audit within 30 days and gap mapping without a long-term engagement, one platform recommended Digital Elevator for lean teams and SMBs [75]. When the buyer prioritizes editorial depth and authoritative content building, Animalz or Omniscient Digital were named as better fits for content-led citation authority [75]. When the buyer needs research-led citation assets and category authority, Foundation, Siege Media, and Platypus SEO were named for link-building content, citation sourcing, and entity optimization [75].
When the buyer needs GEO-only specialization without multi-channel demand generation overhead, specialist GEO agencies including Graphite, Digital Elevator, and Go Fish Digital were described as offering clearer GEO focus than Directive's integrated model [75]. When the buyer is an enterprise whose primary gap is technical AI search architecture and structured data, Onely was recommended by independent reviewers for technical architecture expertise alongside Directive for revenue-attributed performance [75]. One platform also named Rankite, Clear Cited, RankSenseAI, The HOTH, and Cite Solutions as competitors with more detailed public documentation of AI citation services, pricing tiers, LLM tracking coverage, and deliverables [76].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Directive Consulting before signing a GEO contract for AI citations?
- How can a buyer verify Directive Consulting's citation tracking methodology and platform coverage before purchase?
The platforms supplied overlapping verification lists. Consolidated, the highest-value items to confirm in writing are:
- Which exact AI platforms, models, regions, languages, and prompt sets will be monitored, and how often prompts will be rerun [81].
- Whether the baseline identifies current citations, cited URLs, competing sources, answer prominence, sentiment, and citation share, and whether the buyer receives raw prompt-and-response evidence and source URLs [81].
- How Directive distinguishes owned-content improvements from third-party authority gains and normal platform volatility [81].
- What specific deliverables address external source eligibility, reviews, digital PR, analyst coverage, directories, and other third-party citation sources [81].
- Whether citation tracking is included in the service fee, powered by Stratos, or dependent on separately billed third-party tools such as Scrunch [81].
- The minimum term, renewal, cancellation, payment, content-approval, implementation, and change-order terms, given the conflict between reported 6–12 month enterprise terms and a month-to-month startup package [81].
- Who owns produced content, structured data, dashboards, prompt datasets, historical measurements, and analytical outputs after termination [81].
- What outcomes are contractual deliverables and which are expressly non-guaranteed [81].
- Whether Directive can provide anonymized before-and-after citation data from comparable B2B or SaaS clients, and whether that data is independently tied to business outcomes rather than correlated [81].
- What is included in the Startup Package, its cost, and the minimum annual revenue threshold for eligibility [82].
- How Directive differentiates its GEO, AEO, and AIO strategies and which directly addresses earning AI citations [82].
- Whether the account team structure and retention rate support programs in the $10,000–$20,000 monthly range [82].
Final AI Consensus Verdict
Directive Consulting is a good, not fully verified, fit for B2B and SaaS companies trying to earn more AI citations. Three of seven platforms named it in the ranking stage at an average listed rank of 3.67, and platform fit ratings ranged from "strong" to "uncertain," with the majority landing on "good." Its public materials directly address citation tracking, entity mapping, structured data, source-eligibility work, and a stated GEO KPI stack, which maps closely to the six evaluation criteria in this study.
The verdict is qualified by three unresolved issues. First, pricing is not published and reported figures conflict across independent sources, ranging from roughly $5,000/month to $50,000+/month with disputed contract terms. Second, citation measurement depends on third-party tools such as Scrunch, and no proprietary internal citation-tracking tool was documented. Third, outcome evidence is primarily company-reported, and no public guarantee of citation gains exists.
Buyers who need transparent published pricing, independently audited citation outcomes, or a narrowly scoped citation-only pilot should treat Directive as a shortlist candidate requiring heavy due diligence rather than a settled choice. Buyers who want GEO integrated with content, technical SEO, digital PR, and pipeline analytics, and who can support a five-figure engagement, have a reasonable case to proceed to a scoped proposal. For a broader view of how this agency compares with the other finalists, see the AI Search Agencies for Earning More AI Citations consensus index.
How This Review Was Produced
This review was produced from platform-reported research collected on 2026-09-17. Seven platforms evaluated Directive Consulting's fit for AI Search Agencies for Earning More AI Citations: OpenAI (gpt-5.6-luna), Anthropic (claude-haiku-4-5-20251001), Google (gemini-3.5-flash), Grok (x-ai/grok-4.3), Perplexity (perplexity/sonar), DeepSeek (deepseek-v4-flash), and Kimi (moonshotai/kimi-k2.6). All seven evaluated fit; three named Directive during ranking discovery.
Each platform supplied its own citations, fit rating, strengths, limitations, pricing notes, and verification questions. Those inputs were consolidated without resolving conflicts by guessing. Where platforms disagreed on pricing, contract terms, or specialization depth, both positions are reported. Company-owned citations materially outnumber independent citations in this evidence set, so company claims are labeled as company-reported throughout. No personal testing, customer interviews, or independent verification was performed. The category directory for this research is available at ai search geo agencies.
Methodology Limitations
Several limitations apply to this review.
Platform-reported research dates differ from the authoritative run date. DeepSeek's research date was recorded as 2026-01-15, while the run research date and all other platform dates were 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
Platform mentions count only platforms that named the entity during ranking discovery. All seven platforms evaluated fit, but only three named Directive in the ranking stage, so the 42.9% share understates fit coverage and overstates it as a consensus signal.
Company-owned citations materially outnumber independent citations. Directive's own pages supply most of the capability evidence, and company claims are not independently verified. Reported client outcomes, including a Case Status increase from zero LLM presence to visibility across more than 39 tracked prompts and a 20% increase in demo bookings over forecast, are company-reported and not independently audited [88].
Pricing and contract terms conflict across sources and remain unresolved. No public fixed GEO price, standardized package, minimum term, or cancellation policy was verified.
The deterministic identity audit flagged that one or more fetched domains were not corroborated by brand-name or site-identity metadata and were not used as official identity signals. Reported identity details should be verified rather than treated as established.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. DeepSeek's research ran with search disabled, so its claims are model-reported rather than retrieved.
AI-platform agreement does not prove product quality. Agreement here reflects how platforms characterized Directive's public positioning, not verified performance.
Sources
Company-Owned Sources
- Answer Engine Optimization Agency | Cite Solutions: https://cite.solutions/answer-engine-optimization-agency
- AI Search Optimization Service — Clear Cited: https://clearcited.com/ai-search-optimization/
- Directive Consulting – AI Search Optimization / B2B Marketing: https://directiveconsulting.com/
- Directive Consulting – About: https://directiveconsulting.com/about/
- Top AIO Agencies Assisting Brands In AI Search: https://directiveconsulting.com/blog/15-leading-aio-agencies-helping-brands-operationalize-ai/
- A Practical Framework for Generative Engine Optimization Success Metrics: https://directiveconsulting.com/blog/a-practical-framework-for-generative-engine-optimization-success-metrics/
- B2B Creators for AI Search Visibility - Directive Consulting: https://directiveconsulting.com/blog/b2b-creators-ai-search-visibility/
- 25 Best GEO Agencies Powering Global B2B Growth: https://directiveconsulting.com/blog/best-geo-agencies/
- Building a Scalable Generative Engine Optimization Strategy: https://directiveconsulting.com/blog/building-a-scalable-generative-engine-optimization-strategy/
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- DiscoverabilityOS - Directive: https://directiveconsulting.com/discoverabilityos/
- Performance Marketing Agency for B2B - Directive: https://directiveconsulting.com/divisions/performance/
- Directive Consulting Services: https://directiveconsulting.com/services/
- Content Marketing Agency for B2B - Directive: https://directiveconsulting.com/services/content-marketing-agency/
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- Generative Engine Optimization (GEO): How to Win Visibility in AI Search - Directive: https://directiveconsulting.com/wp-content/uploads/2026/03/Blog_02122026_v13_1000x563.png
- A Guide to Generative Engine Optimization (GEO) Best Practices - Directive Consulting: https://directiveconsulting.com/wp-content/uploads/2026/03/services_hero-1024x523.jpg
- AI Search Optimization (AEO & GEO) | Rankite: https://rankite.com/services/ai-search-optimization
- AI SEO Services for AI Visibility & Growth | RankSenseAI: https://ranksenseai.com/ai-seo-services/
- AI Visibility Services | Get Cited in AI Overviews, ChatGPT, and Perplexity | The HOTH: https://www.thehoth.com/ai-search-visibility/
Additional AI research evidence89 records
- AI research evidence record google:1.1.7
- AI research evidence record grok:web:0
- AI research evidence record perplexity:1
- AI research evidence record openai:c1
- AI research evidence record perplexity:7
- AI research evidence record openai:c1
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:1
- AI research evidence record openai:c2
- AI research evidence record google:1.2.1
- AI research evidence record google:1.1.6
- AI research evidence record perplexity:5
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:4-10
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:14-3
- AI research evidence record anthropic:14-6
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:2-12
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record anthropic:2-13
- AI research evidence record anthropic:10-17
- AI research evidence record grok:web:5
- AI research evidence record anthropic:15-3
- AI research evidence record anthropic:22-4
- AI research evidence record kimi:directive-site-2026
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record google:2.1.1
- AI research evidence record perplexity:8
- AI research evidence record perplexity:9
- AI research evidence record anthropic:23-2
- AI research evidence record anthropic:23-5
- AI research evidence record google:2.1.4
- AI research evidence record perplexity:6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:4-10
- AI research evidence record perplexity:5
- AI research evidence record perplexity:10
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record google:1.2.1
- AI research evidence record google:1.1.3
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:2-12
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:1
- AI research evidence record anthropic:23-2
- AI research evidence record google:2.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:15-3
- AI research evidence record anthropic:15-9
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:20-9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:23-2
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:20-9
- AI research evidence record google:2.1.1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-3
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:15-3
- AI research evidence record kimi:rankite-2026
- AI research evidence record kimi:clearcited-2026
- AI research evidence record kimi:ranksenseai-2026
- AI research evidence record kimi:thehoth-2026
- AI research evidence record kimi:citesolutions-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:23-2
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:5
- AI research evidence record perplexity:1
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:32-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-11
Independent Sources
- 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, GEO agency in Costa Mesa, US: https://geoagencies.com/agency/directive-consulting
- 10 GEO Agencies for B2B AI Search Visibility - IT Supply Chain: https://itsupplychain.com/
- Licheo vs Directive Consulting: We Build, Rank and Convert It: https://licheo.com/
- Directive Consulting vs Refine Labs Compared: https://piperocket.digital/compare/directive-consulting-vs-refine-labs/
- PipeRocket vs Directive Consulting: SaaS Agency Compared: https://piperocket.digital/compare/piperocket-vs-directive-consulting/
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- Directive Consulting Review 2026: Pricing, Features, Pros & Cons | SalesHive: https://saleshive.com/vendors/directive-consulting
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- Directive Consulting Review 2026: B2B Search, Sourced and Assessed: https://www.get-ryze.ai/blog/directive-consulting-review-2026
- Directive Consulting Pricing And Review In 2026: https://www.groas.com/post/directive-consulting-pricing-review-2026-google-ads-groas-alternative
- Directive Consulting Vs. WebFX In 2026: Pricing, Reviews: https://www.groas.com/post/directive-consulting-vs-webfx-pricing-reviews-2026-groas-comparison
- Directive Consulting Pricing 2026: Agency Costs Explained - Miniloop: https://www.miniloop.ai/blog/directive-pricing
- Top 12 GEO Agencies Ranked by AI Data, Pricing, Methods: https://www.miragenews.com/top-12-geo-agencies-ranked-by-ai-data-pricing-1744115/
- Generative Engine Optimization Consulting Services for B2B SaaS to Win AI Citations: https://www.revvgrowth.com/geo/geo-consulting-services
- Best Generative Engine Optimization (GEO) Marketing Agencies: https://www.seodiscovery.com/blog/best-generative-engine-optimisation-agencies/
Additional AI research evidence89 records
- AI research evidence record google:1.1.7
- AI research evidence record grok:web:0
- AI research evidence record perplexity:1
- AI research evidence record openai:c1
- AI research evidence record perplexity:7
- AI research evidence record openai:c1
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:1
- AI research evidence record openai:c2
- AI research evidence record google:1.2.1
- AI research evidence record google:1.1.6
- AI research evidence record perplexity:5
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:4-10
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:14-3
- AI research evidence record anthropic:14-6
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:2-12
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record anthropic:2-13
- AI research evidence record anthropic:10-17
- AI research evidence record grok:web:5
- AI research evidence record anthropic:15-3
- AI research evidence record anthropic:22-4
- AI research evidence record kimi:directive-site-2026
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record google:2.1.1
- AI research evidence record perplexity:8
- AI research evidence record perplexity:9
- AI research evidence record anthropic:23-2
- AI research evidence record anthropic:23-5
- AI research evidence record google:2.1.4
- AI research evidence record perplexity:6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:4-10
- AI research evidence record perplexity:5
- AI research evidence record perplexity:10
- AI research evidence record anthropic:2-6
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record google:1.2.1
- AI research evidence record google:1.1.3
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:2-12
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:1
- AI research evidence record anthropic:23-2
- AI research evidence record google:2.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:15-3
- AI research evidence record anthropic:15-9
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:20-9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:23-2
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:20-9
- AI research evidence record google:2.1.1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-3
- AI research evidence record anthropic:22-4
- AI research evidence record anthropic:15-3
- AI research evidence record kimi:rankite-2026
- AI research evidence record kimi:clearcited-2026
- AI research evidence record kimi:ranksenseai-2026
- AI research evidence record kimi:thehoth-2026
- AI research evidence record kimi:citesolutions-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:23-2
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:5
- AI research evidence record perplexity:1
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:32-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-11
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 17, 2026
- Platforms analyzed
- 7
- Source records
- 38
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #4
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
18 independent · 20 company-owned
Evidence support
17 direct · 12 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 482134ab4d2ea3885a47345d18dc32d5ef1d0d36bbc4d4a2b3686fb8969a4354