Answer Capsule
GEORaiser is an uncertain fit for agencies that need white-label AI search audit delivery. Two of seven platforms named it during the ranking stage (google, grok), and those two rated it a strong fit; the other five platforms that evaluated it rated it uncertain or good. The strongest reason to consider it is a publicly advertised per-audit wholesale model with branded PDF reports, competitor benchmarking, and no subscription requirement [1]. The main limitation is verification: the exact "Partner Access - Basic & Re-Audit Wholesales" and "Partner Program audits" offers were not confirmed on the official site, and no independent source substantiated partner terms, capacity, or outcomes [3].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (google, grok) |
| Share of included platform responses | 28.6% |
| Average listed rank | 5.0 |
| Best listed rank | 3 (google) |
| Relevant product/model/plan | Partner Access - Basic & Re-Audit Wholesales; Partner Program audits (reported, not independently verified) |
| Overall use-case fit | Uncertain — strong on paper for per-audit white-label delivery, unverified on partner terms, capacity, and contracts |
| Research date | 2026-09-18 |
Why GEORaiser Qualified for This Study
Questions This Section Answers
- Is GEORaiser a good choice for white-label AI search audit services for agencies?
- Why did only two of seven AI platforms name GEORaiser for agency white-label audit delivery?
GEORaiser qualified because two platforms named it during ranking discovery and both tied it to an agency-facing audit offer. Google ranked it third and described an Agency Partner Program with wholesale per-audit pricing [6]. Grok ranked it seventh and described a white-label per-audit model with no subscriptions or minimums [8]. That is a 28.6% share of the seven included platform responses, an average listed rank of 5.0, and a best listed rank of 3.
Qualification is not the same as verification. The five other platforms that evaluated GEORaiser for this use case — openai, anthropic, perplexity, deepseek, and kimi — all rated fit uncertain or good rather than strong, and each flagged missing or unconfirmed partner documentation [9]. The deterministic identity audit also records that official-site retrieval failed and that the identity was resolved through an exact-name fallback, leaving the reported domain unverified.
The Product, Model, Plan, or Service Most Relevant to White-Label AI Search Audit Services for Agencies
Questions This Section Answers
- Which GEORaiser plan should an agency choose for white-label client audit delivery?
- Does GEORaiser's Partner Program include fully branded reports with no vendor attribution?
The relevant offer is the agency partner audit service, reported under names including "Partner Access - Basic & Re-Audit Wholesales" and "Partner Program audits" [14]. Google describes it as an Agency Partner Program with Basic, Comprehensive, and Re-Audit tiers [16]. Grok and Perplexity both point to a partner page advertising white-label audits delivered under the agency's brand [18].
Reported deliverables include 15–20 page white-labeled PDF reports carrying the agency's logo and colors with no GEORaiser branding visible to clients, a 10-dimension AI Visibility Score across six categories, competitor benchmarking, and a prioritized roadmap [16]. Google also reports a sales enablement kit with a pitch deck, talk track, and objection-handling guide [23].
These are company-owned claims. No reviewed independent source confirmed the partner program's existence, scope, or branding terms, and the exact product names were not located in the reviewed public pages [14].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree GEORaiser actually delivers for agency audit work?
- Is GEORaiser's white-label audit pricing consistent across AI platform research?
Agreement is limited, not unanimous. The clearest cross-platform agreement is that GEORaiser markets a white-label, per-audit agency offer with branded PDF delivery. Google, grok, and perplexity independently describe branded reports delivered under the agency's identity [26].
A second area of agreement is the absence of a mandatory subscription in the partner model. Grok reports no subscriptions or minimums [27]; Google reports pay-as-you-go billing with no long-term contracts or monthly minimum commitments [29]. Perplexity notes the company claims one-time fees with no retainers, while also flagging a conflicting monitoring charge on the pricing page [30].
A third shared finding is that GEORaiser's audit methodology centers on technical and content citability signals — crawler access, llms.txt, schema markup, content citability, and E-E-A-T [31]. Independent GEO-tool research describes citation analysis as measuring which sources AI systems reference and enabling content-eligibility improvements, which overlaps with that framing [35].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether GEORaiser is a strong fit for agency white-label audits?
- Is GEORaiser's audit framework six dimensions, eight dimensions, or ten dimensions?
Fit ratings split sharply. Google and grok rated GEORaiser a strong fit [36]. Perplexity rated it good but not fully verified [38]. OpenAI, anthropic, deepseek, and kimi all rated it uncertain [39].
Pricing conflicts across platforms. Grok reports Basic at $200 per audit, Comprehensive at $500, and Re-Audit at $150, with volume discounts of 15% for 5–9 audits and 25% for 10 or more [37]. Google reports the same $200/$500/$150 structure and a 15% discount at 5–9 audits, but states that tiers above 10 audits require custom inquiry [43]. OpenAI and Perplexity instead surface self-serve pricing of $97 Starter, $597 Growth, and $999 Enterprise, plus a $97 Agency Toolkit [44]. These are different product lines, and no platform reconciled them.
Methodology scope conflicts. OpenAI reports that GEORaiser's FAQ describes six audit dimensions while other pages refer to a 10-point methodology [44]. Anthropic reports an eight-dimension framework [47]. Google reports a 10-dimension score across six categories [48]. The exact scoring framework is unresolved.
Verification conflicts. Kimi could not retrieve the official site at all and could not confirm the company is active [42]. DeepSeek's official-site retrieval also failed [41]. OpenAI located public self-serve pages but not the partner offer [39]. The deterministic audit confirms the official-site fetch timed out on 2026-09-18.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does GEORaiser support scalable prompt research and citation architecture analysis for agency client audits?
- Can GEORaiser handle multi-client agency workflows, API access, or bulk audit production?
White-label delivery is the strongest reported capability. Google reports 100% white-labeled PDFs with zero brand leakage and specialist human quality review [49]. Grok reports agency logo, colors, and branding with no GEORaiser branding visible to clients [50]. Perplexity reports the client relationship stays with the agency [51].
Competitor benchmarking is reported but shallow in detail. Google reports the Comprehensive Audit benchmarks against 5–7 rivals [52]. OpenAI reports competitor analysis for three competitors on the Growth audit and five on Enterprise [53]. Anthropic reports benchmarking against a 200+ brand pool without evidence of named head-to-head competitor selection [54].
Prompt research scalability is unclear. Google reports that partners submit client details, competitor names, and target prompts through an intake form [55]. No platform documented configurable prompt libraries, persona-driven research, geographic controls, or prompt volume per client [56].
Citation architecture depth is unclear. GEORaiser's published methodology covers schema, crawler access, content structure, freshness, and E-E-A-T [53]. No platform confirmed a separate module mapping cited source URLs, source authority, citation frequency, or claim-level citation gaps [56].
Multi-client infrastructure is not documented. No platform found evidence of client portals, API access, batch uploads, multi-client workspaces, or SSO [61]. Independent guidance on selecting a white-label AEO/GEO partner lists data collection, engine coverage, prompt tracking, reporting readiness, and agency references as key evaluation criteria [63].
Turnaround is reported at 3–5 business days because audits are human-reviewed rather than auto-generated [64]. Google notes this may not suit rapid-response pitches or high-volume programmatic lead generation [64].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does GEORaiser charge per white-label audit, and are there volume discounts?
- Are there setup fees, minimum commitments, or cancellation penalties in GEORaiser's partner program?
Reported wholesale pricing is per audit with no subscription. Grok and Google both report Basic at $200, Comprehensive at $500, and Re-Audit at $150 [65]. Grok reports volume discounts of 15% for 5–9 audits and 25% for 10 or more [65]. Google confirms the 15% tier at 5–9 audits but states that 10+ tiers require custom inquiry [66].
Self-serve pricing is separate and better documented. OpenAI reports Starter at $97 one time, Growth at $597 one time with three months of free monitoring then $19/month, and Enterprise at $999 one time with three months free then $79/month, plus a $97 one-time Agency Toolkit [67]. Perplexity reports the same $97, $597, and $999 tiers and notes the $999 tier includes 30 days of monitoring [68].
Contract terms are largely undisclosed. Google reports no long-term contracts, subscriptions, or monthly minimum commitments, with pay-as-you-go billing per order [69]. OpenAI reports that partner contract length, minimum commitment, cancellation notice, and reseller agreement terms are not specified in reviewed pages, and that the seven-day money-back guarantee's applicability to partner purchases is unclear [67]. DeepSeek and Kimi found no verifiable contract or cancellation terms at all [70].
A pricing conflict remains unresolved. Perplexity notes the services page claims all tiers are one-time fees with no subscriptions, while the pricing page shows post-trial monitoring charges of $19/month and $79/month [68]. Buyers should confirm which model applies to partner orders.
For context, independent and company sources describe competitor white-label platforms with wholesale discounts ranging from 15% to 45% scaling with volume [72], and other agency audit offers at $249/month or €79–599/month [73].
Best Suited For
Questions This Section Answers
- Who is GEORaiser best suited for among agencies selling AI search audits?
GEORaiser is best suited to agencies that want a standardized, per-audit GEO deliverable they can rebrand and resell without a platform subscription. Google describes the target buyer as agencies adding high-margin GEO audits to their portfolio, wanting expert-reviewed 15–20 page reports with 30-day roadmaps, and preferring pay-as-you-go pricing without monthly overhead [76].
It also suits agencies that value human-reviewed output over instant automation. Google reports that specialist review is what separates the audits from low-quality automated scripts, at the cost of 3–5 day turnaround [76]. Grok similarly frames the offer as expert-reviewed rather than auto-generated [79].
It fits agencies starting small. Grok reports the per-audit model allows starting with one audit and scaling with volume discounts [79]. OpenAI notes it may suit agencies wanting a relatively standardized audit product to package as a discovery or strategy deliverable [80].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose GEORaiser for white-label AI search audit services?
Agencies needing documented, contract-ready white-label infrastructure should not proceed without verification. OpenAI states the partner offer is insufficiently documented to rate it good or strong for scalable white-label delivery without written confirmation of branding rights, prompt methodology, capacity, exports, pricing, and contract terms [81]. Anthropic states there is no published evidence of white-label dashboards, multi-client management, partner pricing structures, or reseller programs [82].
Agencies needing continuous monitoring as a standard deliverable are a weaker fit. Anthropic notes the audit-only model does not support recurring revenue in the way agencies expect from white-label services [84]. Grok and Google both list agencies needing real-time dashboards or API integrations as poor fits [85].
Agencies needing large-scale prompt-level share-of-voice research across many engines are also a weaker fit. OpenAI lists this as a reason GEORaiser is probably not best for a buyer [81]. Kimi could not verify model coverage, competitor benchmarking, or prompt research at all [87].
Buyers requiring independently validated methodology or client outcomes should look elsewhere. No reviewed independent source substantiated GEORaiser's partner-service performance, customer outcomes, or contractual terms [81].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to GEORaiser for an agency that needs a documented white-label platform?
- When should an agency choose a competitor over GEORaiser for AI search audit delivery?
Choose a purpose-built white-label platform when the agency needs documented client workspaces, branded portals, bulk audit production, API access, or explicit reseller terms [88]. OpenAI points to Georaize, which publicly advertises white-label PDF reports and an Agency plan with unlimited brands, sites, audits, and competitors at $349/month, subject to verification [88].
Choose AskedAbout when the priority is explicit prompt-level benchmarking and transparent agency-pack economics. Its public agency page advertises five white-label audits for $249 and describes 25 buyer questions across four engines with mention rate, competitor share-of-voice, cited sources, and a prioritized fix plan [90].
Choose a broader SEO/AI-search platform when the agency needs AI visibility alongside rank tracking, technical SEO, backlinks, analytics integrations, or broader client reporting [88]. Anthropic names GrackerAI, Ayzeo, WhiteLabel IQ, Geoptie, and Profound for fully white-labeled multi-client platforms with dashboards and branded reports [89]. Kimi names AEOlens at $249/month with unlimited scans and a five-model simulation, AI Labs Audit from €79–599/month with full white-label at the Agency+ tier, and MendMySEO at $249/month with 15 workspaces [93].
Choose a strategic partner when the agency wants co-marketing and sales enablement. Anthropic notes E2M, GrackerAI, and others explicitly offer this [89]. Independent guidance recommends evaluating data collection, engine coverage, prompt tracking, reporting readiness, and agency references before selecting a white-label AEO/GEO partner [96].
Questions to Verify Before Buying
Questions This Section Answers
- What should an agency confirm with GEORaiser before signing a partner agreement?
Confirm the offer exists and is current. Ask whether "Partner Access - Basic" and "Re-Audit Wholesales" are active products, what each includes in prompts, re-audits, and seats, and what the current wholesale price is per initial audit and re-audit [97].
Confirm branding rights in writing. Ask whether the agency can remove GEORaiser branding and deliver under its own logo, colors, domain, sender identity, and terms of service, and request a sample anonymized partner report [97].
Confirm capacity and scaling terms. Ask about minimum monthly volumes, prepaid credits, expiration dates, client-count limits, geographic restrictions, and the specific volume discount rates above 10 audits per month [97].
Confirm methodology and coverage. Ask how many prompts run per client, which engines are queried, whether the agency can supply or customize commercial prompts by industry and location, and whether the framework is six, eight, or ten dimensions [101].
Confirm citation and benchmarking depth. Ask whether the service reports source URLs, citation frequency, competitor share of voice, cited-source overlap, and claim-level citation gaps, and whether competitors are agency-selected or drawn from a fixed pool [97].
Confirm exports, SLAs, and offboarding. Ask about raw result exports in PDF, HTML, CSV, JSON, or API form, bulk-order turnaround SLAs, human quality review, monitoring transferability, cancellation, and client offboarding [97].
Confirm contract and guarantee terms. Ask whether the seven-day money-back guarantee applies to partner purchases, and request a reseller agreement, data-processing terms, and two agency references [97].
Final AI Consensus Verdict
GEORaiser is an uncertain fit for White-Label AI Search Audit Services for Agencies. Two of seven platforms named it during ranking, and those two rated it strong, but the remaining five rated it uncertain or good. The reported offer — per-audit wholesale pricing at $200 for Basic, $500 for Comprehensive, and $150 for Re-Audit, with branded PDF reports, competitor benchmarking, and no subscription requirement — matches the use case on paper [104].
The gap is verification. The exact partner product names were not located in reviewed public pages, official-site retrieval failed on the study date, methodology scope conflicts across sources, and no independent source substantiated partner terms, capacity, or outcomes [107]. Treat GEORaiser as a pilot candidate for standardized low-to-medium volume agency audits, contingent on written confirmation of branding rights, prompt methodology, capacity, exports, pricing, and contract terms.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms — openai, anthropic, google, grok, perplexity, deepseek, and kimi — each evaluating GEORaiser against the same agency white-label audit use case. The study date is 2026-09-18. Two platforms named GEORaiser during ranking discovery; all seven evaluated its fit. Fit ratings, pricing, feature findings, and verification questions were extracted from platform responses and their cited sources. Company-owned citations materially outnumber independent citations in the supplied evidence, so company claims are labeled as such throughout. This article is part of the broader White-Label AI Search Audit Services for Agencies consensus index and sits within the ai search audits market intelligence category directory.
Methodology Limitations
Several limitations constrain this review. Official-site retrieval for georaiser.com timed out on 2026-09-18, and identity was resolved through an exact-name fallback, leaving the reported domain unverified. The requested product names "Partner Access - Basic & Re-Audit Wholesales" and "Partner Program audits" were not located in reviewed public pages. Platform-reported research dates differ from the authoritative run date: deepseek reported 2026-06-11 while the other six platforms reported 2026-09-18, and those dates are provenance metadata rather than proof of freshness. DeepSeek's research ran without search enabled, so its findings are platform-reported rather than retrieved. Company-owned citations materially outnumber independent citations, and no independent source substantiated GEORaiser's partner-service performance, customer outcomes, or contractual terms. Conflicting product names, pricing, and capability claims were not resolved by guessing. The supplied URLs were collected from platform responses and were not independently validated at the writing stage. Citations are platform-reported evidence, not independently verified facts.
Sources
Company-Owned Sources
- For SEO Agencies — Resell AEO audits white-label | AEOlens: https://aeolens.ai/for-agencies
- FAQ - Frequently Asked Questions about AI Visibility - AI Labs Audit: https://ailabsaudit.com/en/faq
- AskedAbout for Agencies: https://askedabout.com/for/agencies
- White-Label GEO & AEO Services | Agency Reseller Program: https://generativeengineoptimization.solutions/white-label/
- White-Label GEO Platform for Agencies | GeoGenie: https://geogenie.ai/solutions/agencies
- GEORaiser home page and Agency Toolkit offer: https://georaiser.com/
- GEORaiser vs Otterly vs Okara: Which 10-Dimension AI Visibility Score Tool Is Right for You?: https://georaiser.com/blog/georaiser-vs-otterly-vs-okara
- How to Get Cited by ChatGPT in 2026: The Complete Guide: https://georaiser.com/blog/how-to-get-cited-by-chatgpt
- GEORaiser vs Okara vs AthenaHQ vs Synscribe vs ArGEO: https://georaiser.com/compare
- The GEO Playbook: https://georaiser.com/downloads/geo-playbook.pdf
- Is your business showing up when customers ask AI for what you sell?: https://georaiser.com/geo-playbook
- GEO Monitor — Track Your AI Visibility Monthly: https://georaiser.com/monitor
- White-Label AI Visibility Audits for Agencies — GEORaiser Partner Program: https://georaiser.com/partners
- Pricing — AI Visibility Score | GEORaiser: https://georaiser.com/pricing
- Free AI Visibility Score - GEORaiser: https://georaiser.com/score
- Ai Search Optimization Works: https://georaiser.com/services
- White-Label AI Visibility Audits for Agencies — GEORaiser Partner Program: https://georaiser.com/white-label-geo-audits-for-agencies
- Georaize AI brand visibility and agency SEO suite: https://georaize.com/
- GEO for Agencies: White-Label AI Visibility Platform: https://gracker.ai/agencies
- White Label SEO Audit Tool for Agencies | MendMySEO: https://mendmyseo.com/tools/white-label-seo-audit-tool
- Features — White-Label AI Visibility Audit Tools for Agencies | RediForAI: https://rediforai.com/features
- AI Services for SEO Agencies | AEO & GEO Build Partner: https://whitelabelai.agency/for-seo-agencies/
- Best GEO Tools for Agencies 2026: White-Label Reports Compar: https://www.airanklab.com/blog/best-geo-tools-agencies-latest
- AI Visibility Audit for Agencies — White Label IQ: https://www.whitelabeliq.com/white-label-website-audit-services/ai-visibility-audit/
Additional AI research evidence110 records
- AI research evidence record grok:1
- AI research evidence record google:2.2.1
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record google:2.1.1
- AI research evidence record google:2.2.1
- AI research evidence record grok:1
- AI research evidence record openai:c4
- AI research evidence record anthropic:18-1
- AI research evidence record perplexity:c5
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record google:2.2.1
- AI research evidence record google:3.1.1
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record google:2.2.5
- AI research evidence record google:3.2.5
- AI research evidence record google:3.3.1
- AI research evidence record google:3.2.1
- AI research evidence record anthropic:18-1
- AI research evidence record kimi:unverified-1
- AI research evidence record google:2.2.5
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record google:3.2.1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:19-6
- AI research evidence record anthropic:19-7
- AI research evidence record anthropic:26-1
- AI research evidence record google:2.1.1
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:18-1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record google:3.1.1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:19-2
- AI research evidence record google:3.2.5
- AI research evidence record google:2.2.5
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record google:3.3.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record google:2.2.2
- AI research evidence record openai:c2
- AI research evidence record deepseek:c1
- AI research evidence record google:2.1.8
- AI research evidence record google:2.1.9
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:1-2
- AI research evidence record kimi:unverified-1
- AI research evidence record anthropic:36-3
- AI research evidence record google:2.1.1
- AI research evidence record grok:1
- AI research evidence record google:3.1.1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record google:3.2.1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record anthropic:34-8
- AI research evidence record kimi:aeolens-1
- AI research evidence record kimi:ailabs-1
- AI research evidence record kimi:mendmyseo-1
- AI research evidence record google:2.1.1
- AI research evidence record google:3.2.1
- AI research evidence record google:2.2.5
- AI research evidence record grok:1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:18-1
- AI research evidence record grok:1
- AI research evidence record google:2.1.1
- AI research evidence record kimi:unverified-1
- AI research evidence record openai:c6
- AI research evidence record anthropic:1-2
- AI research evidence record openai:c7
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:4-1
- AI research evidence record kimi:aeolens-1
- AI research evidence record kimi:ailabs-1
- AI research evidence record kimi:mendmyseo-1
- AI research evidence record anthropic:36-3
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record google:3.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record google:3.2.5
- AI research evidence record grok:1
- AI research evidence record google:3.1.1
- AI research evidence record google:2.2.1
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record anthropic:18-1
Independent Sources
- Which White Label AEO/GEO Partner Is Right for Your Agency: https://www.pierview.ai/guides/which-white-label-aeo-geo-partner
- Best GEO Tools Guide: AI Search Visibility Platforms in 2026: https://www.stackmatix.com/blog/geo-tools-guide
- Best Citation Analysis Options for Optimizing AI Search in 2026: https://www.useomnia.com/blog/best-citation-analysis-options-optimizing-ai-search
Additional AI research evidence110 records
- AI research evidence record grok:1
- AI research evidence record google:2.2.1
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record google:2.1.1
- AI research evidence record google:2.2.1
- AI research evidence record grok:1
- AI research evidence record openai:c4
- AI research evidence record anthropic:18-1
- AI research evidence record perplexity:c5
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record google:2.2.1
- AI research evidence record google:3.1.1
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record google:2.2.5
- AI research evidence record google:3.2.5
- AI research evidence record google:3.3.1
- AI research evidence record google:3.2.1
- AI research evidence record anthropic:18-1
- AI research evidence record kimi:unverified-1
- AI research evidence record google:2.2.5
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record google:3.2.1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:19-6
- AI research evidence record anthropic:19-7
- AI research evidence record anthropic:26-1
- AI research evidence record google:2.1.1
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:18-1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record google:3.1.1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:19-2
- AI research evidence record google:3.2.5
- AI research evidence record google:2.2.5
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record google:3.3.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record google:2.2.2
- AI research evidence record openai:c2
- AI research evidence record deepseek:c1
- AI research evidence record google:2.1.8
- AI research evidence record google:2.1.9
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:1-2
- AI research evidence record kimi:unverified-1
- AI research evidence record anthropic:36-3
- AI research evidence record google:2.1.1
- AI research evidence record grok:1
- AI research evidence record google:3.1.1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record google:3.2.1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record anthropic:34-8
- AI research evidence record kimi:aeolens-1
- AI research evidence record kimi:ailabs-1
- AI research evidence record kimi:mendmyseo-1
- AI research evidence record google:2.1.1
- AI research evidence record google:3.2.1
- AI research evidence record google:2.2.5
- AI research evidence record grok:1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:1-5
- AI research evidence record anthropic:18-1
- AI research evidence record grok:1
- AI research evidence record google:2.1.1
- AI research evidence record kimi:unverified-1
- AI research evidence record openai:c6
- AI research evidence record anthropic:1-2
- AI research evidence record openai:c7
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:4-1
- AI research evidence record kimi:aeolens-1
- AI research evidence record kimi:ailabs-1
- AI research evidence record kimi:mendmyseo-1
- AI research evidence record anthropic:36-3
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record google:3.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record google:3.2.5
- AI research evidence record grok:1
- AI research evidence record google:3.1.1
- AI research evidence record google:2.2.1
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:unverified-1
- AI research evidence record anthropic:18-1
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- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 27
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #7
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
3 independent · 24 company-owned
Evidence support
26 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 6c6a69ab4456dce4e4b1363566ee1c3a3eb17b5ac9ecd9ea36a9af7b90bcb9e1