Answer Capsule
The GEO Lab is a mixed fit for brands seeking a GEO agency for AI citation and authority building. Two of seven platforms named it during the ranking stage, at an average listed rank of 7.5 and a best rank of 6. Its strongest asset is a research-led framework — the GEO Stack, the GEO Authority Playbook, and the GEO Lab Console — that directly addresses citation architecture, section-level extractability, entity reinforcement, and measurement across ChatGPT, Gemini, and Perplexity. The main limitation is that public evidence describes an educational and diagnostic publisher, not a full-service agency: no verified pricing, no confirmed digital PR or third-party citation acquisition, and no independently validated client outcomes.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, perplexity) |
| Share of included platform responses | 28.6% |
| Average listed rank | 7.5 |
| Best listed rank | 6 (anthropic) |
| Relevant product/model/plan | GEO Authority Playbook — Citation Strategy Service; GEO authority playbook / advisory content |
| Overall use-case fit | Mixed |
| Research date | 2026-09-17 |
Why The GEO Lab Qualified for This Study
Questions This Section Answers
- Is The GEO Lab a good choice for GEO Agencies for AI Citation and Authority Building?
- How many AI platforms named The GEO Lab when asked to recommend GEO agencies for citation and authority building?
The GEO Lab qualified because two of the seven included platforms named it during ranking discovery for this use case, clearing the two-mention minimum. Anthropic listed it at rank 6 and Perplexity at rank 9, producing an average listed rank of 7.5 and a best listed rank of 6. Its platform share was 28.6% of included platform responses.
Qualification is a discovery threshold, not an endorsement. Five of the seven platforms — openai, deepseek, grok, kimi, and google — evaluated The GEO Lab's fit but did not name it in their ranking lists. Those five still produced detailed fit assessments, and their conclusions are used throughout this review.
The entity is a Cambridge, United Kingdom research and publishing operation built around generative engine optimization frameworks [1]. Its official website is thegeolab.net. Buyers should note that the name "The Geo Lab" is also used by unrelated GIS, spatial-data, and geophysics organizations, so domain verification matters [2].
The Product, Model, Plan, or Service Most Relevant to GEO Agencies for AI Citation and Authority Building
Questions This Section Answers
- What exactly is the GEO Authority Playbook, and is it a service or a free ebook?
- Which The GEO Lab resource should a buyer start with if they need citation architecture and multi-platform measurement?
The most relevant offering is the GEO Authority Playbook, described across platform responses as an advanced AI citation strategy resource covering brand entity construction, knowledge graph engineering, topical authority architecture, and competitive citation intelligence [3]. It is positioned for visibility across ChatGPT, Perplexity, Gemini, and Copilot [3].
The critical packaging conflict: multiple platforms label the Playbook a "Citation Strategy Service," but the public evidence describes a free downloadable ebook with no email required [7]. No platform located a priced service page or commercial plan for it. Buyers should treat the "service" label as unverified until confirmed directly.
Two supporting assets are relevant to this use case. The GEO Stack is a five-layer framework — retrieval probability, extractability, entity reinforcement, structural authority, and system memory [9]. The GEO Lab Console is described as a research-access program providing section-level extractability scoring, citation baselines across ChatGPT, Gemini, and Perplexity, and 30-day rechecks, limited to 20 sites at no charge [11].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree The GEO Lab does well for citation and authority building?
- Does The GEO Lab measure AI visibility across ChatGPT, Gemini, and Perplexity?
Platforms broadly agreed on three points.
First, the framework depth is genuinely specific to AI retrieval. The GEO Stack's five layers map directly onto the buyer's stated criteria — citation architecture, source-layer visibility, and entity reinforcement [13]. OpenAI called the diagnostic model "unusually specific to section-level AI retrieval rather than conventional page-level SEO" [16].
Second, measurement across multiple AI platforms is described. The GEO Brand Citation Index measures brands across ChatGPT, Perplexity, and Gemini, and the Console includes citation baselines and 30-day rechecks across those platforms [17]. Grok reported that experiments test Perplexity, ChatGPT, and Gemini [19].
Third, the research base is substantial and public. Grok counted 19 controlled experiments on retrieval, extractability, entity reinforcement, and structural authority [19]. Google cited Experiment 001, which documented a 23.3-percentage-point lift in Perplexity citation rates from structural declarative rewriting [20].
One important caveat sits inside the agreement: the Brand Citation Index measures mention position, not URL citation, and the ChatGPT and Gemini runs described on that page do not use web search or grounding [17].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is The GEO Lab an agency or an educational publisher, and does that matter for a buyer needing managed execution?
- Does The GEO Lab offer digital PR, third-party authority development, or off-page citation building?
The central disagreement is whether The GEO Lab is an agency at all.
Anthropic stated flatly that The GEO Lab "does not function as a GEO agency providing client services" and is a content publisher offering free educational ebooks [21]. Google reached a similar conclusion, calling it "an outstanding educational and framework resource" but "not a commercial agency" [22]. Grok described it as a research and educational entity rather than a full-service agency delivering client campaigns [24].
OpenAI, Perplexity, and DeepSeek were less absolute, rating it a mixed or uncertain fit and leaving open the possibility of advisory or diagnostic engagement [26]. Kimi could not determine whether the Playbook is advisory-only, done-for-you, or hybrid, calling the website language ambiguous [29].
On third-party authority and digital PR, the platforms were largely aligned in the negative. OpenAI found no verified dedicated digital-PR, publisher-outreach, backlink-acquisition, review-management, or third-party placement program [30]. Anthropic found no evidence of off-page citation building or PR management [31]. Perplexity noted the framework materials do emphasize entity consistency, schema, Knowledge Panel, backlink quality, and off-page citation building — but as guidance, not verified service delivery [32].
Pricing was unresolved across every platform. No platform located public commercial pricing for the Playbook or consulting [35].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Which citation and authority-building capabilities does The GEO Lab actually provide for GEO agencies?
- Does The GEO Lab cover content extractability, schema, and entity reinforcement for AI citation?
The table below maps the buyer's stated criteria to what platforms reported.
| Buyer criterion | Platform-reported finding | Assessment |
|---|---|---|
| Citation analysis | Brand Citation Index across ChatGPT, Perplexity, Gemini; measures mention position, not URL citation | Advantage, with methodology caveat |
| Citation architecture | GEO Stack covers retrieval probability, extractability, entity reinforcement, structural authority, system memory | Advantage |
| Third-party authority | Framework references structural authority and trust signals; no verified PR, outreach, or link acquisition | Limitation |
| Source-layer visibility | Console reports section-level extractability, entity ambiguity, compression behavior, schema coverage, E-E-A-T signals, freshness, citation likelihood | Advantage |
| Content strategy | Section-level scoring, compression simulation, entity-ambiguity detection, structural rewrite suggestions | Advantage |
| Digital PR / authority development | Not verified in public materials | Limitation |
| Multi-platform measurement | Console baselines and 30-day rechecks across ChatGPT, Gemini, Perplexity; limited to 20 sites | Advantage, capacity-limited |
Additional relevant assets: the GEO Workbook is a free 30-day action plan with templates and checklists, one task per day, ending in a full AI visibility audit and site optimization [36]. The GEO Field Manual describes a six-step audit covering retrieval tests, extractability, entity gravity, structural authority, and priority action lists [39].
The GEO Lab's own materials state that GEO lacks traditional metrics like CTR or AI impressions in Search Console, and that the only way to know GEO effectiveness is systematic testing with proxy metrics [40].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does The GEO Lab cost, and are there setup, retainer, or cancellation fees?
- Is the GEO Lab Console free, and what are the eligibility limits?
Public pricing for a commercial engagement was not found by any platform. Pricing confidence is low across openai, deepseek, grok, perplexity, and kimi [43].
What is documented: the GEO Authority Playbook ebook is free to download with no email required [47]. The Console Research Access Program is described as no charge, limited to 20 sites, and structured as a research program rather than a commercial product [49]. Google reported all playbooks, guides, and diagnostic programs as completely free, with no paid service tiers, retainers, or software subscriptions [48].
No platform verified setup fees, platform-usage fees, content-production fees, digital-PR budgets, travel, taxes, third-party tooling costs, minimum terms, retainer duration, cancellation rights, renewal, deliverable ownership, confidentiality, service levels, or data-processing terms for consulting [43]. The public website terms govern website use only and do not establish commercial consulting terms [43].
For market context, independent sources cited by Anthropic put GEO agency services at $1,500–$50,000 per month in 2026 [51]. Kimi cited competitor disclosures ranging from $995/month with $1,680 setup to $2,500/month month-to-month [53]. These are third-party figures, not The GEO Lab pricing.
Best Suited For
Questions This Section Answers
- Who gets the most value from The GEO Lab for AI citation and authority building?
- Is The GEO Lab worth it for an in-house team that wants to build GEO capability internally?
The GEO Lab is best suited to buyers who want a research-led framework before or alongside agency engagement. Platforms converged on these buyer profiles:
- In-house marketing teams seeking a structured framework for AI search optimization [55].
- Brands wanting citation baselining and section-level extractability audits before committing budget [57].
- Organizations evaluating whether GEO is strategically important before allocating spend [59].
- Teams needing advisory content on entity reinforcement, knowledge-graph thinking, and multi-platform AI visibility [60].
- Practitioners who will implement internally and need templates, checklists, and a 30-day action plan [62].
OpenAI framed the practical role as "a specialist advisory or diagnostic partner" and "an advisory or audit layer for an agency or in-house team" [57].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose The GEO Lab for GEO Agencies for AI Citation and Authority Building?
- Does The GEO Lab suit a buyer who needs a priced retainer with guaranteed deliverables?
Buyers needing managed execution should look elsewhere. Platforms identified these exclusions:
- Buyers requiring a clearly priced, ongoing agency retainer [65].
- Large-scale digital PR, publisher outreach, backlink acquisition, or third-party authority campaigns [67].
- Buyers needing demonstrated U.S.-market client results or formal multi-platform guarantees [67].
- Organizations requiring hands-on implementation, account management, or team augmentation [69].
- Buyers who need SLA-backed, end-to-end managed packages with firm contract terms [66].
- Brands expecting advisory consulting or strategy sessions with practitioners [71].
Anthropic also flagged an execution gap: GEO implementation fails because people understand the framework but make no site changes [69]. Kimi noted the website lacks the transparency markers independent buyer guides recommend, including starting price, client case studies with live AI answer demonstrations, and team credentials [72].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to The GEO Lab if a buyer needs managed GEO execution with published pricing?
- When should a buyer choose a full-service GEO agency instead of The GEO Lab's playbook model?
Several platforms named specific alternatives and the conditions that trigger them.
Choose a full-service GEO, SEO, or digital-PR agency when the buyer needs third-party authority acquisition, publisher outreach, link earning, review strategy, and implementation under one contract [73]. Anthropic named Percepture, 5W Public Relations, and Discovered Labs as examples for implementation-focused needs [74].
Choose a specialized AI-visibility measurement platform when the primary need is continuous production monitoring, broader platform coverage, APIs, dashboards, or automated alerts [73].
Choose a U.S.-based agency when local-market relationships, U.S. media access, domestic contracting, or regulated-industry experience are central requirements [73].
Kimi named Foundgrove, Citeme, ThinkProfits, and Hub365 as alternatives with disclosed capabilities and pricing — including multi-platform tracking, Knowledge Graph/Wikidata work, and fixed 90-day plans [75]. These are competitor-published claims, not independently verified.
Anthropic also noted that agency implementation typically costs $3,000–$15,000+ monthly and often shows measurable citation gains within 90 days, whereas self-directed framework adoption takes longer and frequently stalls [79].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with The GEO Lab before signing a contract or committing budget?
- How can a buyer verify The GEO Lab's platform coverage, deliverables, and measurement methodology?
Platforms produced a consistent verification list. Buyers should confirm:
- Whether the GEO Authority Playbook is a formal service, advisory engagement, or educational content package [80].
- Exact deliverables: citation audits, source maps, content briefs, schema recommendations, implementation, monitoring, and rechecks [80].
- Which AI platforms and model versions are measured, and whether tests use live web retrieval, grounding, or model-memory prompts [80].
- Whether the engagement includes third-party authority development, digital PR, publisher outreach, reviews, or links — or only on-site content and technical recommendations [80].
- U.S. client references, case studies, baseline-to-after measurements, or independently verifiable outcomes [80].
- Fees, minimum term, renewal and cancellation rules, reporting cadence, implementation responsibilities, and ownership of reports and work product [80].
- How privacy, confidential data, client-site access, research publication, anonymization, and use of audit findings are handled [80].
- How citation rate, mention rate, source inclusion, answer share, and recommendation visibility are defined and separated [80].
- Whether the Console Research Access Program is open to the buyer's site, given the 20-site limit [83].
- Whether the buyer's in-house team has the technical bandwidth — CMS access, schema markup capability — to execute the Playbook's recommendations [83].
Kimi added a practical test: request a live demonstration of a brand placed inside a real AI answer on ChatGPT, Perplexity, or Gemini, not a PDF report, and treat refusal to disclose starting price before a sales call as a warning sign [84].
Final AI Consensus Verdict
The GEO Lab is a mixed fit for GEO Agencies for AI Citation and Authority Building. It is a strong research, framework, and diagnostic resource with genuine specificity for citation architecture, section-level extractability, entity reinforcement, and multi-platform measurement across ChatGPT, Gemini, and Perplexity. It is not publicly evidenced as a complete authority-building agency with transparent commercial pricing, ongoing implementation, digital PR, or third-party citation-acquisition capability.
Platform fit ratings split: openai, google, grok, and perplexity rated it mixed; anthropic, deepseek, and kimi rated it uncertain. No platform rated it a strong agency buy for this use case.
Buyers should treat The GEO Lab as a specialist advisory or diagnostic partner — useful for baselining, extractability audits, and framework development — unless a direct sales discussion verifies broader execution scope, U.S. buyer terms, and commercial pricing. For buyers who need managed citation and authority campaigns, the platforms consistently pointed toward full-service GEO or digital-PR agencies instead. Buyers comparing providers across this category can review the broader GEO Agencies for AI Citation and Authority Building index, and those still mapping the vendor landscape can start with the ai search geo agencies directory.
How This Review Was Produced
This review was produced from platform-reported research collected on 2026-09-17. Seven platforms were configured for the study; two named The GEO Lab during ranking discovery, and all seven supplied fit-research responses that were used in the analysis. Each platform response included citations, a fit rating, strengths, limitations, pricing findings, and verification questions.
Platform fit ratings were: openai mixed, anthropic uncertain, deepseek uncertain, grok mixed, kimi uncertain, google mixed, perplexity mixed. Ranking statistics (average rank 7.5, best rank 6, 28.6% platform share) were calculated from the two platforms that named the entity.
All citations are platform-reported evidence. Company-owned citations materially outnumber independent citations in this study — 21 owned versus 4 independent — so company claims should not be read as independently verified. No personal testing, customer interviews, or independent verification was performed.
Methodology Limitations
- The authoritative run research date is 2026-09-17. DeepSeek's platform-reported research date was 2026-06-12, and platform-reported dates are provenance metadata that do not independently prove freshness.
- Platform mentions count only platforms that named the entity during ranking discovery. Five platforms evaluated fit without naming it in their ranking lists.
- Conflicting product names, pricing, and capabilities were not resolved by guessing. The GEO Authority Playbook is variously described as a free ebook and as a "Citation Strategy Service," and no platform located a priced service page.
- The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
- Company-owned citations materially outnumber independent citations. Company claims are not described as independently verified.
- Citations are platform-reported evidence, not independently verified facts. DeepSeek's response was produced with search disabled, so its claims require explicit verification before being described as current facts.
- The GEO Lab's own terms state that content is provided as-is, with no warranties concerning accuracy, completeness, suitability, or results, and that GEO practices evolve as AI systems develop [85].
- The Brand Citation Index methodology distinguishes mentions from URL citations, and the ChatGPT and Gemini runs described on that page do not use web search or grounding [86].
- No independent replication of The GEO Lab's 19 published studies or independent customer-result evidence was verified.
- Platform agreement on a finding does not prove product quality.
Sources
Company-Owned Sources
- Generative Engine Optimization Agency (GEO) | Foundgrove: https://foundgrove.com/services/geo
- GEO Optimization - First AI citation in 90 days | Hub365: https://hub365.ai/ai-suite/geo-optimization
- The GEO Lab — Generative Engine Optimisation Research: https://thegeolab.net/
- GEO Lab Console: https://thegeolab.net/console/
- Contact Artur Ferreira | The GEO Lab: https://thegeolab.net/contact/
- Does GEO Work? 3 Evidence Points & Key Limitations: https://thegeolab.net/does-geo-work
- Free GEO Ebooks & Guides | The GEO Lab: https://thegeolab.net/ebooks/
- GEO Field Manual: The Complete Practitioner Guide: https://thegeolab.net/field-manual/
- GEO Authority Playbook: Advanced AI Citation Strategy: https://thegeolab.net/geo-authority-playbook/
- GEO Brand Citation Index: https://thegeolab.net/geo-brand-citation-index/
- GEO Experiments — Design, Measure, Learn | The GEO Lab: https://thegeolab.net/geo-experiments/
- GEO Lab — Declarative Hub: https://thegeolab.net/geo-lab-hub/
- The GEO Stack: How the Five-Layer GEO Framework Works: https://thegeolab.net/geo-stack/
- The GEO Workbook — 30-Day Action Plan | The GEO Lab: https://thegeolab.net/geo-workbook/
- The GEO Log — Research Updates & Experiments: https://thegeolab.net/log/
- Terms of Use | The GEO Lab: https://thegeolab.net/terms/
- The GEO Stack: How the Five-Layer Framework Works: https://thegeolab.net/the-geo-stack
- Why GEO Matters: 3 Critical Shifts in AI Search (2026: https://thegeolab.net/why-geo-matters/
- Generative Engine Optimization (GEO) Services — Get Cited by AI | ThinkProfits: https://thinkprofits.com/aeo-services/geo/
- The GEO agency that gets you cited by AI: https://www.citeme.io/services/geo-agency
- Best Generative Engine Optimization Agency | Revenue-Focused AI Search Visibility 2026: https://www.maximuslabs.ai/services/geo
Additional AI research evidence86 records
- AI research evidence record openai:citation_4
- AI research evidence record google:cit_geo_main
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:3-4
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:14-11
- AI research evidence record google:cit_geo_ebooks
- AI research evidence record perplexity:c5
- AI research evidence record google:cit_geo_stack
- AI research evidence record openai:citation_2
- AI research evidence record google:cit_geo_console
- AI research evidence record perplexity:c5
- AI research evidence record google:cit_geo_stack
- AI research evidence record grok:web:11
- AI research evidence record openai:citation_2
- AI research evidence record openai:citation_1
- AI research evidence record google:cit_geo_console
- AI research evidence record grok:web:14
- AI research evidence record google:cit_geo_evidence
- AI research evidence record anthropic:14-11
- AI research evidence record google:cit_geo_main
- AI research evidence record google:cit_geo_ebooks
- AI research evidence record grok:web:0
- AI research evidence record grok:web:11
- AI research evidence record openai:citation_4
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:geolab-site
- AI research evidence record openai:citation_3
- AI research evidence record anthropic:3-4
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c5
- AI research evidence record openai:citation_5
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:17-3
- AI research evidence record anthropic:17-7
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:16-3
- AI research evidence record anthropic:16-9
- AI research evidence record openai:citation_5
- AI research evidence record perplexity:c1
- AI research evidence record kimi:geolab-site
- AI research evidence record grok:web:0
- AI research evidence record anthropic:14-11
- AI research evidence record google:cit_geo_ebooks
- AI research evidence record openai:citation_2
- AI research evidence record google:cit_geo_console
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:27-1
- AI research evidence record kimi:thinkprofits-geo
- AI research evidence record kimi:foundgrove-geo
- AI research evidence record google:cit_geo_main
- AI research evidence record anthropic:14-9
- AI research evidence record openai:citation_2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:17-2
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:17-7
- AI research evidence record perplexity:c3
- AI research evidence record openai:citation_4
- AI research evidence record openai:citation_5
- AI research evidence record perplexity:c1
- AI research evidence record openai:citation_4
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:17-8
- AI research evidence record kimi:geolab-site
- AI research evidence record anthropic:14-11
- AI research evidence record kimi:ismybrandinai-guide
- AI research evidence record openai:citation_4
- AI research evidence record anthropic:3-2
- AI research evidence record kimi:foundgrove-geo
- AI research evidence record kimi:citeme-agency
- AI research evidence record kimi:thinkprofits-geo
- AI research evidence record kimi:hub365-geo
- AI research evidence record anthropic:21-2
- AI research evidence record openai:citation_4
- AI research evidence record perplexity:c1
- AI research evidence record kimi:geolab-site
- AI research evidence record google:cit_geo_console
- AI research evidence record kimi:ismybrandinai-guide
- AI research evidence record openai:citation_5
- AI research evidence record openai:citation_1
Independent Sources
- How Much Does GEO Cost in 2026? Real AI SEO Pricing: https://factoryjet.com/blog/geo-cost-small-business-2026
- Generative Engine Optimization Services: Buyer's Guide: https://ismybrandinai.com/generative-engine-optimization-services
- What Is the GEO Cost for Businesses in 2026? - Nutshell: https://www.nutshell.com/blog/geo-costs
- 9 GEO Strategies That Increase AI Citations by 40%: https://www.xseek.io/blogs/articles/which-generative-engine-optimization-strategies-actually-work
Additional AI research evidence86 records
- AI research evidence record openai:citation_4
- AI research evidence record google:cit_geo_main
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:3-4
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:14-11
- AI research evidence record google:cit_geo_ebooks
- AI research evidence record perplexity:c5
- AI research evidence record google:cit_geo_stack
- AI research evidence record openai:citation_2
- AI research evidence record google:cit_geo_console
- AI research evidence record perplexity:c5
- AI research evidence record google:cit_geo_stack
- AI research evidence record grok:web:11
- AI research evidence record openai:citation_2
- AI research evidence record openai:citation_1
- AI research evidence record google:cit_geo_console
- AI research evidence record grok:web:14
- AI research evidence record google:cit_geo_evidence
- AI research evidence record anthropic:14-11
- AI research evidence record google:cit_geo_main
- AI research evidence record google:cit_geo_ebooks
- AI research evidence record grok:web:0
- AI research evidence record grok:web:11
- AI research evidence record openai:citation_4
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:geolab-site
- AI research evidence record openai:citation_3
- AI research evidence record anthropic:3-4
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c5
- AI research evidence record openai:citation_5
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:17-3
- AI research evidence record anthropic:17-7
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:16-3
- AI research evidence record anthropic:16-9
- AI research evidence record openai:citation_5
- AI research evidence record perplexity:c1
- AI research evidence record kimi:geolab-site
- AI research evidence record grok:web:0
- AI research evidence record anthropic:14-11
- AI research evidence record google:cit_geo_ebooks
- AI research evidence record openai:citation_2
- AI research evidence record google:cit_geo_console
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:27-1
- AI research evidence record kimi:thinkprofits-geo
- AI research evidence record kimi:foundgrove-geo
- AI research evidence record google:cit_geo_main
- AI research evidence record anthropic:14-9
- AI research evidence record openai:citation_2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:17-2
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:17-7
- AI research evidence record perplexity:c3
- AI research evidence record openai:citation_4
- AI research evidence record openai:citation_5
- AI research evidence record perplexity:c1
- AI research evidence record openai:citation_4
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:17-8
- AI research evidence record kimi:geolab-site
- AI research evidence record anthropic:14-11
- AI research evidence record kimi:ismybrandinai-guide
- AI research evidence record openai:citation_4
- AI research evidence record anthropic:3-2
- AI research evidence record kimi:foundgrove-geo
- AI research evidence record kimi:citeme-agency
- AI research evidence record kimi:thinkprofits-geo
- AI research evidence record kimi:hub365-geo
- AI research evidence record anthropic:21-2
- AI research evidence record openai:citation_4
- AI research evidence record perplexity:c1
- AI research evidence record kimi:geolab-site
- AI research evidence record google:cit_geo_console
- AI research evidence record kimi:ismybrandinai-guide
- AI research evidence record openai:citation_5
- AI research evidence record openai:citation_1
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
- 25
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #9
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
4 independent · 21 company-owned
Evidence support
25 direct · 0 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 a44e53f8474521d4a05ea5e65923b7bafeb549e5acfbafc2f68a73a99fb6b870