Answer Capsule
Focus Digital is a qualified but uneven fit for companies that want an agency to identify high-intent commercial prompts, benchmark recommendation visibility, analyze competitors, and improve the sources influencing AI answers. Two of seven platforms named it during the ranking stage (deepseek, kimi), both at rank 2, giving it a 28.6% share of included platform responses and an average listed rank of 2.0. The strongest reason to consider it is a publicly described GEO workflow that maps high-intent prompts, competitor recommendation share, and citation sources, with month-to-month terms reported by one platform. The main limitation is that pricing, contract terms, and independent proof of AI recommendation lift are not publicly documented, and platform fit ratings ranged from "strong" to "uncertain."
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (deepseek, kimi) |
| Share of included platform responses | 28.6% |
| Average listed rank | 2.0 |
| Best listed rank | 2 |
| Relevant product/model/plan | Generative Engine Optimization (GEO) Service; GEO Visibility Audit + GEO program |
| Overall use-case fit | Mixed to good; platform fit ratings ranged from strong (grok) to uncertain (deepseek, kimi) |
| Research date | 2026-09-18 |
Why Focus Digital Qualified for This Study
Questions This Section Answers
- Is Focus Digital a good choice for AI Search Agencies for High-Intent Commercial Prompts?
- What did independent reviewers say about Focus Digital's GEO positioning for commercial prompts?
Focus Digital qualified because it was named during ranking discovery by two of the seven included platforms and because its publicly described GEO service maps directly onto the study's evaluation criteria: high-intent prompt identification, recommendation-visibility benchmarking, competitor analysis, citation and source mapping, and strategy development [1].
Independent coverage supports its inclusion. First Page Sage ranked Focus Digital as the #3 Top B2B GEO Agency of 2026 with a 4.8/5.0 client experience rating, describing it as specializing in scalable GEO and SEO for growth-stage B2B companies [4]. Elsner Technologies ranked it #5 among GEO companies, characterizing it as a moderate-expertise SMB specialist with strong ROI and transparent pricing for local services and smaller budgets [5]. First Page Sage also identified Focus Digital as a GEO provider for medical and healthcare organizations at mid-market scale [6], and separately as a niche player focused on small businesses and emerging brands in the GEO space [7]. Independent coverage describes it as serving small and growing businesses with lower-cost GEO services [8]. Clutch reviewers cited flexibility, timely communication, and value for cost [9].
The qualification is not unanimous. One platform found no verifiable public information about the GEO service at all and treated the entity as unproven [10]. That conflict is preserved throughout this review rather than resolved.
The Product, Model, Plan, or Service Most Relevant to AI Search Agencies for High-Intent Commercial Prompts
Questions This Section Answers
- Which Focus Digital service should a buyer choose for high-intent commercial prompt work?
- Does Focus Digital's GEO Visibility Audit cover competitor benchmarking for commercial prompts?
The relevant offering is Focus Digital's Generative Engine Optimization (GEO) Service, delivered as a GEO Visibility Audit followed by an ongoing GEO program [11]. The company's own materials describe the audit as running 40 to 50 real buyer prompts, three times each, across four models — ChatGPT, Gemini, Claude, and Perplexity — to diagnose AI search visibility [14]. The same page states the process maps the "belief landscape" and separates retrieval problems from selection problems [14].
The service page also states that Focus Digital scores the brand against competitors winning those answers today, which supports competitor benchmarking as part of the offering [16]. The company describes tracing published pages to demos, trials, and opportunities and reporting pipeline-oriented SaaS campaign outcomes [17].
One naming conflict should be flagged. The supplied recommended service URL is a GEO service page, while current public positioning also emphasizes "Agentic GEO" [11]. The exact scope of the recommended GEO program versus Agentic GEO is not resolved in the public record and should be confirmed with the vendor.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree on about Focus Digital's GEO service for high-intent commercial prompts?
- Is Focus Digital's prompt-testing methodology consistent across platform evaluations?
Agreement was strong on structure, not on proof. Multiple platforms independently described the same core workflow: prompt testing across four models, competitor comparison, and citation or source development [18].
Platforms converged on these points:
- Prompt testing at scale. The audit runs 40 to 50 real buyer prompts across ChatGPT, Gemini, Claude, and Perplexity, three runs each [20].
- Competitor benchmarking. The service scores the brand against competitors already winning those answers [21].
- Retrieval-versus-selection diagnosis. Focus Digital separates being absent from the AI candidate set from losing the comparison inside it [20].
- Commercial rather than vanity measurement. The company reports qualified leads, pipeline, and revenue rather than impressions or mention volume [24].
- Month-to-month terms. One platform reported month-to-month contracts with two weeks' notice, with the audit, belief landscape, and pages built remaining the client's property [19].
Agreement among platforms reflects shared source material, not independent verification. Company-owned citations materially outnumber independent citations in this evidence set, so these points should be read as company-described and platform-reported rather than independently confirmed.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did some AI platforms rate Focus Digital as an uncertain fit for high-intent commercial prompts?
- Is Focus Digital's citation architecture methodology independently verified?
Fit ratings diverged sharply. Grok rated Focus Digital a "strong" fit [28]. OpenAI, Google, and Perplexity rated it "good" [29]. Anthropic rated it "mixed" [32]. DeepSeek and Kimi both rated it "uncertain" [33].
The disagreement centers on verifiability rather than capability claims:
- Page availability conflict. DeepSeek reported that the GEO service page displayed no relevant content and could be broken, redirecting, or intentionally blank [33]. Other platforms retrieved substantive content from the same URL [28]. This is a direct factual conflict that buyers should test themselves.
- Citation architecture depth. OpenAI assessed citation and source mapping as "neutral," noting the public material supports source and authority work but does not disclose a standardized technical citation-architecture methodology or independent validation of source causality [29]. Anthropic found no independent evidence of citation-architecture mapping capability [32]. Perplexity could not verify a detailed citation-architecture methodology or prompt-level instrumentation [31].
- Team depth. Anthropic reported that Focus Digital keeps teams compact and hands-on to keep budgets manageable, and that this lean structure may limit depth for complex claims, clinical review, or compliance requirements [35].
- Case study mismatch. Anthropic noted that industry analysts identify Focus Digital as a medical GEO provider, but no GEO case studies appear on the public website — only SEO case studies [36].
- SEO versus GEO emphasis. Anthropic observed that the main company website emphasizes SEO rather than GEO as the primary offering, leaving the relationship between the two unclear [38].
Missing research is not disagreement. Where a platform found no evidence, this review reports that as an evidence gap, not as proof the capability is absent.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Focus Digital identify high-intent commercial prompts and benchmark recommendation visibility?
- What platforms does Focus Digital monitor for high-intent commercial prompts?
Focus Digital's described capabilities align closely with the five evaluation criteria, though the depth of each is unevenly documented.
| Criterion | Assessment | Evidence |
|---|---|---|
| High-intent prompt identification | Advantage | 40–50 real buyer prompts, 3 runs each, across 4 models |
| Recommendation-visibility benchmarking | Advantage | Measures recommendation and selection rates, including absent-to-selected movement and share against competitors |
| Competitor analysis | Advantage | Scores the brand against competitors winning the answers today |
| Citation architecture and source mapping | Neutral to unclear | Maps claims, gaps, and misconceptions; works on comparison content, original research, PR, reviews, and third-party placements, but no standardized technical methodology is disclosed |
| Strategy development | Advantage | Builds comparison pages, metrics content, and service pages; re-runs queries on cadence |
Platform coverage is a defined boundary. The primary stated platforms are ChatGPT, Gemini, and Claude, with Perplexity and other emerging platforms added as they grow [39]. One platform reported references to ChatGPT, Perplexity, Google AI Overviews, and other AI search platforms [40]. Buyers whose market depends on shopping, vertical-answer, or recommendation platforms outside that set should verify coverage before committing.
Execution responsibilities are also described. Focus Digital states it handles audits, content, comparison pages, original research, and placements, while the client mainly supplies approvals, subject-matter input, and possibly customer reviews [39]. One platform reported a senior team of five people per account with fast page updates [41].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Focus Digital charge for its GEO Visibility Audit and ongoing GEO program?
- What contract terms and cancellation policy apply to Focus Digital's GEO service?
Pricing is not publicly disclosed. Focus Digital states it quotes on the first call after reviewing the market and site [42]. No verified public fee for the GEO Visibility Audit or the ongoing GEO program was located [43].
For context only, independent industry benchmarking places specialist GEO agency retainers at $5,500–$35,000 per month depending on scope, with focused campaigns at $5,500–$8,000 and full AEO/GEO programs at $8,000–$35,000 [46]. Focus Digital is described in independent coverage as offering "manageable budgets" and lower-risk trial pricing relative to enterprise agencies, suggesting lower-to-mid positioning, but this is inference rather than a published rate [47].
Contract terms conflict across platforms. One platform reported month-to-month terms with two weeks' notice, with the audit, belief landscape, and pages built remaining the client's property [50]. Another reported month-to-month contracts with no multi-year commitment and cancellation at any time without penalty [51]. A third found no public contract length, minimum commitment, or cancellation policy at all [42]. These are not necessarily contradictory, but the specific terms should be confirmed in writing.
Additional fee uncertainty is unresolved. It is unclear whether content production, PR or third-party placements, review-generation support, technical implementation, analytics, or paid media are included or billed separately, and whether monitoring volume, extra platforms, extra prompts, or reporting integrations create additional fees [43]. One platform reported that pricing is quoted dynamically based on the volume of AI queries in the client's industry and current conversion baseline [53].
A free AI Visibility Report and consultation are advertised, but scope, deliverables, and eligibility should be confirmed [54].
Best Suited For
Questions This Section Answers
- Who gets the most value from Focus Digital's GEO service for high-intent commercial prompts?
- Is Focus Digital a good fit for B2B SaaS or professional-services companies targeting commercial prompts?
Focus Digital is best suited to small-to-mid-market companies that want a managed GEO program tied to pipeline rather than a self-service monitoring tool.
Platforms most consistently identified these buyer profiles:
- B2B, SaaS, professional-services, and local-service companies with commercially valuable comparison, provider, cost, or location prompts [55].
- Buyers wanting prompt testing across ChatGPT, Gemini, Claude, and Perplexity rather than conventional SEO alone [55].
- Companies seeking qualified pipeline or revenue attribution instead of impression or mention volume [57].
- Organizations wanting a lower-risk trial engagement before larger GEO investment [59].
- Companies with established traditional SEO wanting to extend into AI answer visibility [60].
- Buyers who accept a consultative, custom-priced program and can supply content approvals, subject-matter input, reviews, and longer-term authority building [55].
One platform summarized the fit as small-to-midmarket professional services and B2B SaaS companies seeking a lead-generation-focused GEO partner [56]. Another described the target as US companies seeking revenue-attributed GEO for buyer-intent queries in AI answers [61].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Focus Digital for high-intent commercial prompt optimization?
- Is Focus Digital suitable for enterprise or regulated-industry GEO programs?
Several buyer profiles are poor matches based on the supplied evidence.
- Buyers requiring published pricing. No public rate card, minimum term, or standard statement of work was located [62].
- Buyers needing guaranteed near-term results. Focus Digital states measurable movement commonly takes a few months and depends on authority, competition, and implementation speed — a company estimate, not a guarantee [62]. One platform reported the company will decline categories with negligible AI query volume [65].
- Enterprises needing documented SLAs or multi-market governance. Perplexity flagged this as a poor fit [66]. Anthropic noted the lean structure may limit depth for complex claims, clinical review, or compliance requirements [67].
- Regulated industries with complex compliance needs. Financial services, complex healthcare, and pharmaceuticals requiring specialized compliance expertise and citation governance were identified as better served elsewhere [67].
- Buyers needing broad paid-media or marketplace services. Paid search, paid social, conversion-rate optimization, or marketplace visibility as the central engagement is a mismatch [62].
- Buyers requiring independently audited outcomes. Independent evidence of AI recommendation lift, causal source influence, or repeatable client outcomes is limited [62].
- Buyers needing platforms beyond the stated core set. Coverage of additional generative-answer or recommendation systems should be verified for the buyer's specific market [62].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Focus Digital if I need published GEO pricing?
- Which GEO agency should I choose instead of Focus Digital for enterprise or B2B SaaS needs?
Alternative selection depends on which constraint matters most.
- Published pricing required. Foundgrove publishes GEO starting at $2,500/month with month-to-month terms [68]. Rankite publishes AI search optimization from $900/month with a 90-day movement guarantee [70]. Groas publishes $999/month for organic search, $999/month for paid search, or $2,000/month for both, month-to-month [72]. Clear Cited offers fixed public pricing across three tiers [73].
- Enterprise scale. The Business Rover publishes enterprise AEO/GEO at $8,000–$25,000+ per month for large brands [74].
- B2B SaaS diagnostic focus. Kingmaker Search offers a diagnostic showing exact prompts lost and the domains cited instead [75].
- Weekly citation tracking. FORKOFF offers weekly citation proof, sandbox audits, and outcome-priced milestones [77].
- Self-service monitoring. A GEO audit tool or AI visibility platform may fit better than an agency retainer when the buyer primarily wants continuous prompt monitoring and standardized dashboards [78].
- Full-service transformation. Buyers needing content systems, technical infrastructure overhaul, and advanced entity modeling at enterprise scale were directed to larger firms [80].
Industry guidance also notes that credible GEO agencies show 90-day roadmaps with measurable milestones, and that GEO consensus signals require months to build rather than weeks [82]. Buyers comparing Focus Digital against these alternatives should apply the same roadmap standard to each.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Focus Digital before signing a GEO contract?
- Which deliverables and metrics should be specified in a Focus Digital GEO agreement?
The platform responses produced a consistent verification list. Buyers should confirm each item in writing before committing.
Scope and methodology
- What exact prompts, geographies, languages, buyer segments, and competitors are included in the initial audit [84]?
- Which models and product surfaces are monitored, and how often are prompts rerun [84]?
- How are personalized, location-specific, logged-in, and model-version effects controlled [84]?
- What is the precise deliverable for the citation/source map: URLs, claims, source categories, influence hypotheses, prioritization, and change tracking [84]?
- Does the process rely on proprietary tooling or standard keyword research and manual prompt testing [86]?
Commercial terms
- What is the exact monthly retainer or project fee for the buyer's category and query volume [87]?
- What minimum term, cancellation rights, renewal mechanics, content ownership, and placement ownership apply [84]?
- What portion of the fee is media, placement, production, or pass-through spend [84]?
- Are content production, digital PR, third-party placements, review work, technical implementation, and analytics integration included or billed separately [84]?
Evidence and reporting
- What baseline and success metrics will be contractually reported: inclusion, recommendation rate, competitor share, citations, qualified leads, pipeline, or closed revenue [84]?
- Can Focus Digital provide anonymized prompt-level before-and-after evidence for a comparable commercial category [84]?
- Are direct competitors excluded from the same category, geography, or prompt set [84]?
- Who executes the work — senior strategists or junior staff — and is there a dedicated strategist [89]?
Final AI Consensus Verdict
Focus Digital is a defensible choice for small-to-mid-market companies that want a managed GEO program targeting high-intent commercial prompts, provided the buyer validates methodology, scope, and terms before signing. Two of seven platforms named it during ranking discovery, both at rank 2, and its described workflow maps onto all five evaluation criteria for this use case [91].
The verdict is not unanimous. Fit ratings ranged from "strong" to "uncertain" across platforms, and the disagreement is about verifiability rather than capability. Pricing is undisclosed, contract terms conflict across platforms, independent evidence of AI recommendation lift is limited, and one platform could not retrieve substantive content from the GEO service page at all [94].
Buyers who need published pricing, guaranteed near-term results, enterprise governance, or independently audited outcomes should evaluate the alternatives named above. Buyers who accept a consultative, custom-priced engagement and can support content approvals and subject-matter input have a reasonable fit — conditional on written confirmation of the items in the verification list.
How This Review Was Produced
This review evaluates Focus Digital only for the use case of AI Search Agencies for High-Intent Commercial Prompts. It is not a broad company review. Seven AI platforms were asked which AI search agencies they would recommend for this use case and why. Each platform returned a fit assessment, use-case findings, pricing and terms, limitations, and questions to verify before buying. Two of the seven platforms named Focus Digital during ranking discovery; all seven produced fit-research responses that were used in this analysis.
The consensus index for this category is available at AI Search Agencies for High-Intent Commercial Prompts, which tracks how each evaluated agency performed across platforms. Broader coverage of this vendor category is maintained in the ai search geo agencies directory.
Methodology Limitations
- All platform responses are platform-reported and were not independently verified. Citations are platform-reported evidence, not independently verified facts.
- Company-owned citations materially outnumber independent citations in this evidence set. Company claims are labeled as such and should not be read as independently confirmed.
- The research date is 2026-09-18. 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 included platforms evaluated fit, but not all named the entity.
- The supplied URLs were collected from platform responses and were not independently validated.
- One platform reported that the GEO service page displayed no relevant content, while others retrieved substantive content from the same URL. This conflict is unresolved.
- No public GEO price, minimum term, cancellation policy, or standard statement of work was located. Pricing confidence is low across platforms.
- The public materials do not clearly distinguish the deliverables, methodology, and pricing of the GEO Visibility Audit from the ongoing GEO program.
- Agreement among AI platforms reflects shared source material and does not prove product quality.
- No personal testing, customer experience, or independent verification was performed for this review.
Sources
Company-Owned Sources
- AI Search Optimization Service — Clear Cited: https://clearcited.com/ai-search-optimization/
- Focus Digital - The Best SEO Agency for Small Businesses: https://focus-digital.co/
- Case Studies - Focus Digital: https://focus-digital.co/case-studies/
- Multi-Trade Home Services Company - Focus Digital: https://focus-digital.co/case-studies/multi-trade-home-services-company/
- B2B SaaS SEO & GEO Agency | Pipeline, Not Traffic: https://focus-digital.co/industries/saas/
- Best Agentic Generative Engine Optimization (GEO) Agency - Focus Digital: https://focus-digital.co/services/agentic-geo-agency/
- Focus Digital Generative Engine Optimization Service Page: https://focus-digital.co/services/generative-engine-optimization/
- The Best SEO Agencies for Small Businesses: 2026 Edition: https://focus-digital.co/the-best-seo-agencies-for-small-businesses/
- Generative Engine Optimization (GEO) Agency · FORKOFF: https://forkoff.xyz/services/geo
- AI SEO Agency — GEO + AEO, Month-to-Month | Foundgrove: https://foundgrove.com/services/ai-seo
- Generative Engine Optimization Agency (GEO) | Foundgrove: https://foundgrove.com/services/geo
- AI Search Optimization Agency for B2B SaaS | Kingmaker Search: https://kingmakersearch.com/ai-search-optimization
- AI Search Optimization (AEO & GEO) | Rankite: https://rankite.com/services/ai-search-optimization
- groas Pricing: AI Agents From $999/mo, 7 Days Free: https://www.groas.com/pricing
- Enterprise AEO & GEO Services: AI Search Visibility for Large Brands: https://www.thebusinessrover.com/enterprise-aeo-geo-services
Additional AI research evidence95 records
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record google:focus_digital_geo
- AI research evidence record google:first_page_sage_geo
- AI research evidence record google:elsner_geo_companies
- AI research evidence record anthropic:32-1
- AI research evidence record anthropic:34-6
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:44-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record google:focus_digital_geo
- AI research evidence record openai:c2
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record google:focus_digital_geo
- AI research evidence record perplexity:c2
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:1
- AI research evidence record anthropic:29-8
- AI research evidence record anthropic:29-20
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record google:focus_digital_geo
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-10
- AI research evidence record deepseek:c1
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:28-1
- AI research evidence record anthropic:32-1
- AI research evidence record anthropic:29-8
- AI research evidence record openai:c1
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-7
- AI research evidence record perplexity:c3
- AI research evidence record grok:0
- AI research evidence record anthropic:29-8
- AI research evidence record anthropic:29-20
- AI research evidence record google:focus_digital_geo
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record google:focus_digital_geo
- AI research evidence record openai:c3
- AI research evidence record grok:1
- AI research evidence record anthropic:32-7
- AI research evidence record anthropic:32-1
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record deepseek:c1
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-10
- AI research evidence record deepseek:c2
- AI research evidence record kimi:foundgrove_geo
- AI research evidence record deepseek:c3
- AI research evidence record kimi:rankite_geo
- AI research evidence record kimi:groas_pricing
- AI research evidence record kimi:clearcited_service
- AI research evidence record kimi:business_rover_enterprise
- AI research evidence record deepseek:c4
- AI research evidence record kimi:kingmaker_search
- AI research evidence record kimi:forkoff_geo
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-10
- AI research evidence record google:elsner_geo_companies
- AI research evidence record anthropic:26-14
- AI research evidence record anthropic:26-16
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-10
- AI research evidence record grok:0
- AI research evidence record anthropic:29-8
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record google:focus_digital_geo
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record google:focus_digital_geo
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
Independent Sources
- Focus On Digital Reviews (7), Pricing, Services & Verified Ratings: https://clutch.co/profile/focus-digital-0
- The Top eCommerce GEO/AEO Agencies of 2026: https://firstpagesage.com/seo-blog/the-top-ecommerce-geo-aeo-agencies/
- The Top GEO Agencies of 2026: https://firstpagesage.com/seo-blog/the-top-generative-engine-optimization-geo-agencies/
- The Top Medical GEO Agencies of 2026: https://firstpagesage.com/seo-blog/the-top-medical-geo-agencies
- AI SEO Pricing 2026: Cost Of AEO, GEO & AI Search Strategy: https://fuelonline.com/ai-seo-geo/ai-seo-pricing-aeo-geo-cost-2026/
- The 12 Best Generative Engine Optimization (GEO) Agencies of 2026: https://thedigitalelevator.com/blog/best-generative-engine-optimization-geo-agencies/
- Top Generative Engine Optimization (GEO) Companies in 2026: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFVkbUstBtWhwcWLF8PMYMutqwrhOzFvPjgv6RXIMH4AUZPHogNE2WldhZDsDKMi_3b245slMEmiUgV1gdlsKxXVi7d2eiQLSRaOSF3mA6DXuB_INonyLHWNdWo5Z1SBFMKBuRjZLktvFGLNa0hldgoxAAw9jw=
- The Ultimate AI Search Visibility Audit Checklist for 2025: https://wellows.com/blog/ai-search-visibility-audit-checklist/
- Generative Engine Optimization Trends To Watch In 2026: https://www.digitalauthority.me/resources/generative-engine-optimization-trends/
- Generative Engine Optimization GEO Services Market Outlook 2026-2034: https://www.intelmarketresearch.com/generative-engine-optimization-services-market-36546
Additional AI research evidence95 records
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record google:focus_digital_geo
- AI research evidence record google:first_page_sage_geo
- AI research evidence record google:elsner_geo_companies
- AI research evidence record anthropic:32-1
- AI research evidence record anthropic:34-6
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:44-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record google:focus_digital_geo
- AI research evidence record openai:c2
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record google:focus_digital_geo
- AI research evidence record perplexity:c2
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record grok:1
- AI research evidence record anthropic:29-8
- AI research evidence record anthropic:29-20
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record google:focus_digital_geo
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-10
- AI research evidence record deepseek:c1
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:28-1
- AI research evidence record anthropic:32-1
- AI research evidence record anthropic:29-8
- AI research evidence record openai:c1
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-7
- AI research evidence record perplexity:c3
- AI research evidence record grok:0
- AI research evidence record anthropic:29-8
- AI research evidence record anthropic:29-20
- AI research evidence record google:focus_digital_geo
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record google:focus_digital_geo
- AI research evidence record openai:c3
- AI research evidence record grok:1
- AI research evidence record anthropic:32-7
- AI research evidence record anthropic:32-1
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record deepseek:c1
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-10
- AI research evidence record deepseek:c2
- AI research evidence record kimi:foundgrove_geo
- AI research evidence record deepseek:c3
- AI research evidence record kimi:rankite_geo
- AI research evidence record kimi:groas_pricing
- AI research evidence record kimi:clearcited_service
- AI research evidence record kimi:business_rover_enterprise
- AI research evidence record deepseek:c4
- AI research evidence record kimi:kingmaker_search
- AI research evidence record kimi:forkoff_geo
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-10
- AI research evidence record google:elsner_geo_companies
- AI research evidence record anthropic:26-14
- AI research evidence record anthropic:26-16
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:32-10
- AI research evidence record grok:0
- AI research evidence record anthropic:29-8
- AI research evidence record kimi:focus_digital_geo
- AI research evidence record google:focus_digital_geo
- AI research evidence record openai:c1
- AI research evidence record grok:0
- AI research evidence record google:focus_digital_geo
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
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- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 26
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #6
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
11 independent · 15 company-owned
Evidence support
24 direct · 2 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 db20af3de0c4e006dcec95a8054c7b474fa112dd241eb7d2363a1600e27c5fe1