Answer Capsule
GeoAudit Lab is a good fit for U.S. companies that want a low-cost, one-time GEO audit covering major AI answer platforms, competitor visibility, citation gaps, and a prioritized roadmap. Three of seven platforms named it during the ranking stage (grok, kimi, perplexity), a 42.9% share of included platform responses, at an average listed rank of 6.0 and a best rank of 4. The strongest reason to consider it is the published one-time Growth Plan at $249, which includes up to 20 pages, five AI platforms, three-competitor benchmarking, and a 90-day roadmap. The main limitation is evidence quality: nearly all capability and outcome claims come from the vendor's own site, with no independent reviews or verified case studies located.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 3 of 7 included platforms (grok, kimi, perplexity) |
| Share of included platform responses | 42.9% |
| Average listed rank | 6.0 |
| Best listed rank | 4 (perplexity) |
| Relevant product/model/plan | GEO Audit Services; GEO Audit Services (one-time fee); Growth Plan |
| Overall use-case fit | Good for budget-conscious one-time GEO audits; uncertain for buyers needing validated outcomes or ongoing monitoring |
| Research date | 2026-09-18 |
Why GeoAudit Lab Qualified for This Study
Questions This Section Answers
- Is GeoAudit Lab a good choice for GEO Audit Companies that need a one-time AI visibility audit?
- How many AI platforms recommended GeoAudit Lab for GEO audit work, and at what average rank?
- Does GeoAudit Lab qualify for a GEO audit shortlist without independent third-party reviews?
GeoAudit Lab qualified because it was named as a GEO audit provider by three of the seven included platforms during ranking discovery, clearing the study's two-mention minimum. It appeared at rank 9 on grok, rank 5 on kimi, and rank 4 on perplexity, producing an average listed rank of 6.0 and a best rank of 4 [1]. Its final rank in the study was 2.
Qualification reflects naming frequency, not verified quality. All seven platforms evaluated fit, but only three named the entity during ranking discovery, so the 42.9% share should be read as limited consensus rather than broad endorsement. The offering itself is directly on-topic: the official site describes a dedicated GEO audit service covering AI search visibility and a roadmap to improve it (official:C1).
The evidence base is thin in one important respect. A search-index check for independent GeoAudit Lab coverage surfaced no qualifying third-party source at the research date [4], and the vendor was not listed in several 2026 GEO tool comparison reviews [5]. Qualification here means the entity is relevant and repeatedly named, not that its outcomes have been independently validated.
The Product, Model, Plan, or Service Most Relevant to GEO Audit Companies
Questions This Section Answers
- Which GeoAudit Lab plan is the best fit for a company buying its first GEO audit?
- What does the GeoAudit Lab Growth Plan include for $249, and how does it differ from Starter?
- Is GeoAudit Lab a one-time audit service or an ongoing GEO monitoring subscription?
The most relevant offering is the Growth Plan, a one-time GEO audit priced at $249 and delivered in 7–10 business days [8]. Platforms consistently pointed to Growth rather than Starter because it adds the competitive and citation depth that GEO audit buyers typically need.
Growth is described as covering up to 20 pages across five AI platforms, benchmarking against three competitors, and including a 90-day content and citation roadmap, a spreadsheet action tracker, and a 45-minute debrief [9]. Starter is listed at $99 one-time with delivery in 5–7 business days, up to 5 pages, and four platforms [10]. Enterprise is custom-priced with no public amount [11].
The service model is transactional, not subscription. The site states that engagements are one-time with no retainer required [12]. That matters for buyers comparing GeoAudit Lab against monitoring platforms, which monetize through recurring subscriptions [13].
One naming conflict should be flagged. Platforms describe the relevant product variously as "GEO Audit Services," "GEO Audit Services (one-time fee)," and "Growth Plan," and the exact fifth platform in Growth is not explicitly named in the reviewed material [8]. Buyers should confirm the plan name and platform list in writing rather than assuming.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree GeoAudit Lab does well for GEO audit buyers?
- Is GeoAudit Lab's one-time, no-retainer pricing model confirmed across AI platforms?
- Do AI platforms agree on GeoAudit Lab's platform coverage for AI search visibility?
Agreement was strongest on three points: pricing model, platform coverage, and the practical orientation of deliverables.
On pricing, the platforms converged. OpenAI, Anthropic, Google, Kimi, Grok, and Perplexity all describe one-time engagements with no retainer, and the $99 Starter and $249 Growth figures recur across responses [14]. The official page confirms both amounts and the no-retainer framing (official:C1).
On coverage, the majority describe audits across ChatGPT, Perplexity, Gemini, and Google AI Overviews, with Growth adding a fifth platform [14]. Grok additionally lists Microsoft Copilot within the five-platform scope [19].
On deliverables, platforms agreed that the audit produces platform-by-platform findings, an AI visibility score, citation-gap analysis, and a prioritized roadmap [14]. Several also noted attention to first-party extractability, schema and structured data, entity signals, and AI crawler access via robots.txt and llms.txt [14].
This is platform-reported agreement about what the vendor says it does. It is not independent confirmation that the audits produce those results.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do some AI platforms rate GeoAudit Lab's fit as uncertain rather than good?
- Is GeoAudit Lab's audit methodology transparent enough to compare against other GEO audit tools?
- Does GeoAudit Lab have independently verified customer results for GEO audits?
Fit ratings diverged. Google rated the fit "strong," while OpenAI, Anthropic, Grok, and Kimi rated it "good," and DeepSeek and Perplexity rated it "uncertain" [23]. The split tracks evidence availability more than capability: the uncertain ratings came from platforms that could not verify pricing, deliverables, or platform coverage from the material they retrieved.
Methodology transparency is the most consistent uncertainty. Multiple platforms noted that the public material does not specify prompt volume, sampling frequency, scoring rubric, geographic personalization, or repeatability controls [23]. Competing tools are described as itemizing 200+ per-page checks and 9+ engine coverage, which makes direct depth comparison difficult [30].
Evidence quality is a second unresolved area. Platforms found only company-hosted testimonials, with no G2 reviews, verified case studies, or independent validation located [24]. One platform reported a case describing an 8-week timeline to initial citations after implementing recommendations, but that account is vendor-published [31].
There are also concrete factual conflicts. The site states audits cover five platforms while Starter is described as covering four, which appears to be a plan-level distinction but is not clearly explained [23]. Whether Growth includes Claude specifically is unclear [27]. One platform noted the official URL returned a 502 error during its research, so its findings relied on an indexed copy [23]. DeepSeek's research date was 2026-02-14, seven months earlier than the authoritative run date, and its search was disabled, so its uncertainty reflects limited retrieval rather than a negative finding [28].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does GeoAudit Lab cover citation architecture, source gaps, and competitor visibility in its GEO audit?
- How many pages and competitors does the GeoAudit Lab Growth Plan audit?
- Does GeoAudit Lab provide implementation support or only GEO audit recommendations?
Against the study's stated criteria, the platform-reported picture is mixed but mostly favorable at the Growth tier.
First-party content and extractability: the stated methodology reviews answer-first formatting, headings, standalone definition paragraphs, site structure, and crawler access including robots.txt and llms.txt [33]. Growth covers up to 20 pages; Starter covers up to 5 [36].
Third-party authority and citation architecture: the service states it reviews presence in Wikipedia, Reddit, G2, Clutch, Trustpilot, industry publications, Google Knowledge Graph, Wikidata, and Crunchbase, and provides authority, trust-signal, citation-gap, and structured-data recommendations [33]. Starter excludes authority and trust-signal review [38].
Competitor visibility: Growth benchmarks against three competitors with a full citation-gap analysis; Starter has no competitor benchmark [33].
Prompt opportunities and practical priorities: the site says buyers submit 3–5 target keywords and competitors, and recommendations are prioritized by effort and impact and mapped to affected platforms [33]. The public description does not specify prompt volume or whether recommendations target recommendation-intent prompts rather than keyword-derived queries [33].
Implementation is the clearest gap. The listed Growth deliverables include a PDF report, spreadsheet action tracker, 90-day roadmap, and a 45-minute debrief, but implementation itself is not clearly included [33]. One platform noted Growth schema recommendations are unspecified in depth, unlike competitors advertising copy-paste JSON-LD snippets [38].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does GeoAudit Lab cost, and are there setup, add-on, or cancellation fees?
- Is GeoAudit Lab cheaper than a traditional GEO audit agency for comparable work?
- What are GeoAudit Lab's refund, revision, and contract terms for a one-time GEO audit?
Published pricing is unusually clear at the entry tiers and opaque at the top. Starter is $99 one-time with 5–7 business day delivery; Growth is $249 one-time with 7–10 business day delivery; Enterprise is custom with no public amount [41]. The site states no retainer is required and frames comparable agency work at $2,000–$9,000+ [45].
Independent pricing context supports the low-end positioning. One industry source describes agency GEO audit pricing of $1,500–$3,000 for 10 prompts and $5,000–$7,500 for full audits [46]. Another lists agency tiers at €2,000, €5,000, and €9,000 [47]. A tool-based alternative advertises a $19 comprehensive report [48]. Against those anchors, GeoAudit Lab's $99–$249 sits below agency rates but above the cheapest self-serve tools.
Contract terms are largely undocumented. Platforms found no refund, cancellation, revision, data-retention, confidentiality, or service-level terms in the reviewed public material [49]. Additional fees for expanded pages, extra competitors, implementation, or monitoring beyond scope are not clearly stated and should be verified [49]. One platform noted fast-track delivery may be available but is not explicitly priced [44].
Pricing confidence varied by platform: high for Anthropic, Kimi, and Google; moderate for OpenAI and Grok; low for DeepSeek and Perplexity [43]. The low-confidence ratings reflect incomplete retrieval, not contradictory prices.
Best Suited For
Questions This Section Answers
- Who is GeoAudit Lab best suited for among GEO audit buyers?
- Is GeoAudit Lab a good fit for small and midsize businesses buying a first GEO audit?
- Which buyers get the most value from the GeoAudit Lab Growth Plan at $249?
GeoAudit Lab is best suited to small and midsize U.S. businesses that want a structured, fixed-fee GEO baseline without a retainer. Platforms repeatedly identified SMBs, B2B SaaS teams, and marketing teams running an initial assessment as the core fit [53].
It also suits buyers who need a competitor benchmark and a prioritized roadmap rather than raw data. Growth's three-competitor benchmark, citation-gap analysis, and 90-day roadmap map directly to that need [53].
It fits teams that want a diagnostic before committing to a larger GEO program. Multiple platforms framed the one-time audit as a low-commitment way to test the vendor or establish a baseline before ongoing investment [59].
Finally, it suits buyers who value a debrief and an action tracker over a self-serve dashboard. The 45-minute debrief and spreadsheet tracker are Growth-tier features [58].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose GeoAudit Lab for GEO audit work?
- Is GeoAudit Lab suitable for enterprises that need multi-market GEO governance?
- Can GeoAudit Lab support agencies that need white-label GEO audit reports?
Large enterprises with multi-market governance needs are a poor fit. Platforms flagged the absence of proven delivery at scale, multi-brand coverage, and extensive stakeholder reporting [61].
Buyers needing continuous monitoring should look elsewhere. Published tiers are one-time audits; recurring monitoring is referenced only under Enterprise, and no monitoring dashboard is described [61].
Agencies needing white-label deliverables are not served. No white-label report branding is mentioned, and one platform explicitly listed this as a disqualifier for agency resale [62].
Procurement teams requiring independently verified case studies, methodology validation, or formal service-level commitments will find the public evidence insufficient [61].
Buyers needing coverage across 9+ AI engines, code-ready fix snippets, or CRM and analytics integrations should also compare alternatives [62].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to GeoAudit Lab for a buyer who needs ongoing GEO monitoring?
- Which GEO audit tool is better than GeoAudit Lab for deep per-page technical checks?
- When should a buyer choose an enterprise GEO consultancy instead of GeoAudit Lab?
Choose a monitoring-focused platform when recurring scans, trend history, alerts, or continuous competitor tracking matter more than a one-time report. Platforms named Profound, Otterly.ai, and Amadora.ai for daily or weekly monitoring [68].
Choose a deeper audit tool when per-page technical depth is the priority. TurboAudit and Rankscale are described as offering 200+ checks, effort/impact scoring, and 9+ engine coverage [69].
Choose an enterprise GEO consultancy when the buyer needs multi-brand, multi-market, executive reporting, dedicated strategy, or implementation support [68].
Choose a white-label platform when an agency needs custom-branded deliverables; Ayzeo and Foglift were named for that use case [69].
Choose a lower-cost self-serve tool when the goal is a quick preliminary read. GeoAnalyzer advertises a $19 comprehensive report, and other tools offer free technical audits [72].
Choose a vendor with published outcome guarantees when that structure matters. Arise GEO advertises a 180-day money-back guarantee and weekly tracking, and GEORaiser advertises faster delivery and copy-paste JSON-LD snippets [73].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with GeoAudit Lab before paying for a GEO audit?
- How can a buyer verify GeoAudit Lab's methodology and sample deliverables before purchase?
- What scope and terms details are missing from GeoAudit Lab's public GEO audit information?
The platform-reported verification lists converge on scope, methodology, and terms. Buyers should confirm the exact prompts, query classes, locations, languages, personas, and dates tested, and how many queries run per platform with repeats to account for answer variability [75].
They should ask how the AI Visibility Score is calculated and whether raw observations and cited sources can be reviewed [75]. They should confirm which fifth platform Growth covers and whether Google AI Overviews and Microsoft Copilot are in scope for every buyer and market [75].
They should establish whether recommendations are technical or strategic, whether schema guidance includes implementation code, and whether implementation, outreach, or content production is available and at what cost [76].
They should request refund, revision, confidentiality, data-retention, and cancellation terms, none of which were located publicly [75]. They should also ask about page and competitor expansion pricing beyond the 20-page and three-competitor Growth limits [75].
Finally, they should request a sample redacted report and independently verifiable references, since only company-hosted testimonials were found [75].
Final AI Consensus Verdict
The consensus is a qualified good fit. Five of seven platforms rated GeoAudit Lab good or strong for GEO audit work, while two rated it uncertain because they could not verify pricing, deliverables, or platform coverage from retrieved material [83]. Three of seven named it during ranking discovery, at an average listed rank of 6.0 and a best rank of 4.
The case for GeoAudit Lab rests on transparent one-time pricing, broad stated platform coverage, competitor benchmarking at the Growth tier, and a practical roadmap with a debrief. The case against rests on evidence quality: company-owned sources dominate, independent reviews were not located, methodology depth is undisclosed, and contract terms are undocumented.
For a U.S. company that wants an affordable first GEO diagnostic and is willing to verify scope in writing, GeoAudit Lab is a reasonable candidate. For buyers who need validated outcomes, continuous monitoring, enterprise governance, or white-label deliverables, the platforms point elsewhere. This review compares GEO audit providers within the broader GEO Audit Companies consensus study, part of the ai search audits market intelligence category.
How This Review Was Produced
This review used the supplied platform fit-research responses for GeoAudit Lab, collected for the GEO Audit Companies study with a research date of 2026-09-18. Seven platforms contributed fit assessments: OpenAI, Anthropic, Google, Grok, Kimi, DeepSeek, and Perplexity. Ranking statistics came from the supplied entity ranking data, which counted three platforms naming the entity during ranking discovery.
Platform fit ratings, use-case findings, pricing details, limitations, and verification questions were taken from the supplied responses and attributed to the platform that reported them. Company-owned sources were distinguished from independent sources throughout. No personal testing, customer interviews, or independent verification was performed.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date. DeepSeek's response is dated 2026-02-14, roughly seven months earlier, and its search was disabled, so its findings reflect limited retrieval rather than a negative assessment [90]. Platform-reported dates are provenance metadata and do not independently prove freshness.
Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated at the writing stage. One platform reported that the official URL returned a 502 error during its research, so its findings relied on an indexed copy [92].
Conflicting product names, pricing, and capabilities were described rather than resolved. The five-platform versus four-platform discrepancy, the identity of Growth's fifth platform, and the exact mapping of prices to services remain unresolved in the public material [92].
Agreement among AI platforms does not prove product quality. It shows what the platforms said about the vendor, largely based on the vendor's own published material. Independent evidence of reported customer outcomes was not located in the reviewed sources [91].
Explore more ai search audits market intelligence guidance in the category directory.
Sources
Company-Owned Sources
- GEO Audit Services with 180-day guarantee | Arise GEO: https://arisegeo.com/services/geo-audit
- GeoAnalyzer – GEO/AI Visibility Audit Tool: https://geo-analyzer.com/pricing
- GEO Audit Services — AI Search Visibility Audit | GeoAudit Lab: https://geoauditlab.com/
- GEO Audit Plans — AI Visibility Score | GEORaiser: https://georaiser.com/services
- GEO Audit Services — AI Search Visibility Audit | GeoAudit Lab: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFfhCNmWcha5bCceJL1jVns4BVFIaWbUu80LsRP14qg_bsY2z7STb4KIrlN26enu0l-WQb87diwMuR8-0wQQWDyaT69jJ7MXUZK3cZRog==
- GEO Audit Services — AI Search Visibility Audit | GeoAudit Lab: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGqySIrLXv3TZXoeOA4JtiDlrVN-9EHkSAzJIG21WzuXY1OajTjzb_TPVhCHeCo6WgH_frafaUIOfT0QEibe53XnhMG2XsPBJjVUniHmVU=
- GEO Audit Services — AI Search Visibility Audit | GeoAudit Lab: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGsi44ewu3MKA6qsiOFC-dGq8jI1sCMYIzg4rX-FIVqpcatBhDH_ap46NKn_S574CgxLWlS3RwbpiQTCeIa2eZQLXUctGLa8hse4nY3-MU=
- GEO Audit Services for AI Search | Vaimo: https://www.vaimo.com/services/experience-optimization/readiness-audit-services/geo-audit-service/
- Official pricing and terms source: https://geoauditlab.com/#pricing
Additional AI research evidence95 records
- AI research evidence record grok:0
- AI research evidence record kimi:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c11
- AI research evidence record google:4.2.1
- AI research evidence record openai:geoofficial
- AI research evidence record google:3.1.1
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c9
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record google:3.1.1
- AI research evidence record google:4.2.1
- AI research evidence record kimi:c1
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.1
- AI research evidence record google:3.1.4
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record google:1.1.1
- AI research evidence record grok:0
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c8
- AI research evidence record deepseek:c2
- AI research evidence record openai:geoofficial
- AI research evidence record google:3.1.4
- AI research evidence record grok:0
- AI research evidence record google:3.1.1
- AI research evidence record google:4.2.1
- AI research evidence record kimi:c1
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c3
- AI research evidence record google:3.1.1
- AI research evidence record google:4.2.1
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c1
- AI research evidence record google:4.3.1
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c7
- AI research evidence record openai:geoofficial
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record grok:0
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c1
- AI research evidence record google:1.1.1
- AI research evidence record grok:0
- AI research evidence record google:4.2.1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c9
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c7
- AI research evidence record kimi:c2
- AI research evidence record kimi:c3
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c1
- AI research evidence record google:4.2.1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c8
- AI research evidence record deepseek:c2
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record google:1.1.1
- AI research evidence record grok:0
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record openai:geoofficial
- AI research evidence record kimi:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c1
Independent Sources
- GEO Audit Pricing: What to Charge Clients — Alejandro Rioja: https://alejandrorioja.com/geo-audit-pricing-what-to-charge-clients/
- The 8 best AI visibility, GEO and AEO auditing tools for agencies in 2026 | Insites: https://insites.com/blog/the-8-best-ai-visibility-and-geo-auditing-tools-for-digital-marketing-agencies/
- Best GEO Audit Tools 2026: 7 Tools Ranked by Audit Depth (Tested) | AI Search Visibility: https://www.aisearchvisibility.ai/blog/best-geo-audit-tools-2026
- GEO Audit Agency Walkthrough: 7-Step Guide (2026: https://www.demandlocal.com/blog/geo-audit-agency-walkthrough/
- GEO Audit: What It Is and Why Your Brand Needs One: https://www.entlify.com/blog/geo-audit
- Search index check for independent GeoAudit Lab coverage (no qualifying third-party source found: https://www.google.com/search?q=GeoAudit+Lab+review
- Best GEO Tools 2026: 8 Tools Compared: https://www.stackmatix.com/blog/geo-tools-guide
- Best generative engine optimization (GEO) tools for AI search in 2026: https://www.tryprofound.com/blog/best-generative-engine-optimization-tools
Additional AI research evidence95 records
- AI research evidence record grok:0
- AI research evidence record kimi:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c11
- AI research evidence record google:4.2.1
- AI research evidence record openai:geoofficial
- AI research evidence record google:3.1.1
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c9
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record google:3.1.1
- AI research evidence record google:4.2.1
- AI research evidence record kimi:c1
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.1
- AI research evidence record google:3.1.4
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record google:1.1.1
- AI research evidence record grok:0
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c8
- AI research evidence record deepseek:c2
- AI research evidence record openai:geoofficial
- AI research evidence record google:3.1.4
- AI research evidence record grok:0
- AI research evidence record google:3.1.1
- AI research evidence record google:4.2.1
- AI research evidence record kimi:c1
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c3
- AI research evidence record google:3.1.1
- AI research evidence record google:4.2.1
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c1
- AI research evidence record google:4.3.1
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c7
- AI research evidence record openai:geoofficial
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record grok:0
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c1
- AI research evidence record google:1.1.1
- AI research evidence record grok:0
- AI research evidence record google:4.2.1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c9
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c7
- AI research evidence record kimi:c2
- AI research evidence record kimi:c3
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record kimi:c1
- AI research evidence record google:4.2.1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c8
- AI research evidence record deepseek:c2
- AI research evidence record openai:geoofficial
- AI research evidence record anthropic:c1
- AI research evidence record google:1.1.1
- AI research evidence record grok:0
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record openai:geoofficial
- AI research evidence record kimi:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c1
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 17
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #2
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
8 independent · 9 company-owned
Evidence support
15 direct · 1 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 94f7e1278a462af1f652dfe4c861db0ffb1b0f6ef3afff6a1b5ffb205df86c2b