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AI Consensus Fit Review

Ayzeo White-Label AI Search Audit Service Fit Review for Agencies

Ayzeo is a good fit for agencies that need branded AI search audit and visibility reporting without building measurement infrastructure internally.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

Ayzeo is a good fit for agencies that need branded AI search audit and visibility reporting without building measurement infrastructure internally. Two of the seven platforms in this study named Ayzeo during ranking discovery, and it finished 10th overall with an average listed rank of 8.0. The strongest reason to consider it is that the Pro plan bundles white-label PDF reports, citation analytics, competitor benchmarking, and GA4 integration at $149/month for three client projects. The main limitation is that the most complete agency white-label experience is split between Pro add-ons and Enterprise pricing from $6,000/month, and independent validation of measurement quality remains thin.

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 platforms
Share of included platform responses28.6%
Average listed rank8.0
Best listed rank7
Relevant product/model/planPro plan ($149/month for 3 projects); Enterprise from $6,000/month
Overall use-case fitGood
Research date2026-09-18

Why Ayzeo Qualified for This Study

Questions This Section Answers

  • Is Ayzeo a good choice for White-Label AI Search Audit Services for Agencies?
  • How many AI platforms named Ayzeo in the ranking stage for agency white-label AI search audits?

Ayzeo qualified because two of the seven platforms in this study named it during ranking discovery, and both placed it inside their top ten. Grok listed Ayzeo at rank 9 and OpenAI listed it at rank 7, producing an average listed rank of 8.0 and a best listed rank of 7. That is a 28.6% share of included platform responses, which is a minority position rather than broad consensus.

The entity is a company-level candidate: Ayzeo is a Generative Engine Optimization and AI visibility platform operated by Fyrma Inc., based in New York and Berlin [1]. Its agency positioning is explicit. Ayzeo markets itself as a white-label GEO platform for SEO agencies, with multi-project dashboards, white-label PDF reports, and competitor benchmarking [2].

Qualification here reflects relevance to the buyer prompt, not proven performance. The buyer is an agency that wants to sell AI search audits without building research and measurement infrastructure internally. Ayzeo's stated feature set maps directly onto that brief, which is why it entered the ranking stage at all.

The Product, Model, Plan, or Service Most Relevant to White-Label AI Search Audit Services for Agencies

Questions This Section Answers

  • Which Ayzeo plan should an agency choose for white-label AI search audits delivered to clients?
  • Does Ayzeo Pro include white-label reports, or do agencies need the Enterprise plan?
  • What does the Ayzeo White-Label Dashboard add-on cost on top of the Pro plan?

The relevant product is the Ayzeo Pro plan, with Enterprise as the upgrade path when a fully branded portal, custom domain, API access, self-hosting, or high project volume is required [3]. Pro is listed at $149/month billed monthly or $119/month equivalent with annual billing, and includes three projects [3]. Additional Pro projects are $49/month each [5].

Pro includes white-label PDF reports with agency logo, colors, footer text, and contact details applied per project [6]. Reports are described as containing an executive summary, AI visibility scores, citation rates, URL visit rates, mention analysis, sentiment tracking, composite scores, competitor benchmarks with industry ranking tables, 30-day trend charts, and prompt-level performance breakdowns [7].

The White-Label Dashboard is a separate capability. It costs $299/month on Pro, or $2,870/year with annual billing, and is included with Enterprise [3]. It replaces the Ayzeo logo in the dashboard sidebar and themes the dashboard UI with the agency accent color, applying to the whole subscription [8]. White-label PDF reports remain included in Pro either way [3].

Enterprise starts at $6,000/month and is described as including 300+ projects, unlimited users, custom prompt limits, full white-label PDF reports, custom domain, API access, and a dedicated account manager [9]. Self-hosted customers retain control over data residency, access logs, and update schedules [10].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Ayzeo does well for agencies selling white-label AI search audits?
  • Is Ayzeo's white-label PDF reporting included in the Pro plan according to multiple platforms?

The clearest cross-platform agreement concerns white-label PDF reporting on Pro. OpenAI, Anthropic, Grok, Perplexity, and Google all describe Pro as including branded PDF reports for client delivery [11]. This is a strong majority finding across the platforms that produced detailed responses.

A second area of agreement is the presence of citation, mention, sentiment, and competitor benchmarking features. Ayzeo states that it tracks visibility, citations, mentions, sentiment, citation rates, URLs or pages opened by AI systems, per-model results, historical trends, and prompt-level breakdowns [16]. Citation Analytics is described as showing which brands are cited alongside the client, how often they appear, and in what context [17].

A third agreement concerns agency-oriented pricing structure. Multiple platforms report a flat per-project model with unlimited team seats, where Pro covers three projects and additional projects are added at a per-project monthly fee [18]. Ayzeo's own pricing page states that pricing is flat per project, one project covers one website or client, and every plan includes unlimited team seats with no per-seat pricing (official:C2).

A fourth agreement concerns GA4 and Search Console integration on Pro. Anthropic, Google, and Perplexity all describe Pro as including GA4 and Search Console integration alongside owned-channel tracking [21]. Ayzeo states that GA4 data updates daily after an initial sync that imports 90 days of history [24].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did AI platforms disagree about whether Ayzeo is a strong or uncertain fit for agency white-label audits?
  • Did any platform fail to verify Ayzeo's pricing and white-label capabilities?

Fit ratings diverged sharply. Google and Grok rated Ayzeo a strong fit. OpenAI, Anthropic, and Perplexity rated it a good fit. DeepSeek rated it mixed. Kimi rated it uncertain. That spread is the single most important signal in this study: the same entity produced confident endorsements and near-total non-verification depending on the platform.

Kimi reported that no verifiable information about Ayzeo products, pricing, or capabilities was found in its web search conducted 2026-09-18 [26]. Kimi also stated that [27] could not be verified as accessible or informative during its research. This directly conflicts with the other six platforms, which retrieved and cited Ayzeo pages. The most likely explanation is retrieval failure on Kimi's side rather than an actual absence of public information, but the conflict is unresolved in the supplied evidence.

DeepSeek's research is also an outlier on method. Its research date is 2026-02-14, seven months before the authoritative run date of 2026-09-18, and its provenance shows search_enabled set to false [28]. DeepSeek's finding that pricing and white-label depth are not publicly documented should therefore be read as a no-search limitation, not as evidence that the information does not exist.

Pricing language conflicts across Ayzeo's own pages. Perplexity reported that public pages conflict on pricing wording, with one page associating $299/month with the white-label dashboard add-on while other pages present different wording for the same offer [29]. Capterra listings show legacy plan names — Premium at $15/month and Business at $150/month — that do not match the current Starter and Pro structure [31]. The official 2026 pricing page is the more current reference, but buyers should treat third-party directory pricing as stale.

Enterprise terms are opaque. OpenAI reported that Enterprise contract length, SLA language, implementation fees, data-retention terms, and cancellation rights are not publicly specified in the reviewed material [33]. Grok noted that exact Enterprise pricing and the full feature list require sales contact [34].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Ayzeo provide citation architecture analysis and competitor benchmarking for agency client audits?
  • How many AI prompts does Ayzeo Pro monitor per client project, and can agencies add more?
  • Which AI engines does Ayzeo track by default, and which cost extra per project?

Prompt research capacity is the most concrete constraint. Pro includes 40 monitored AI prompts per project, expandable through Prompt Packs at $15/month per pack that add 10 prompts per project per pack [35]. Starter includes 20 prompts per project, and Enterprise prompt limits are customized per account (official:C2). Anthropic flagged the 40-prompt cap as restrictive compared with competitors offering 350+ prompts [36].

Engine coverage is modular. ChatGPT and Google AI Overview are included on every plan. Claude, Perplexity, Gemini, and Grok cost $29/month per model per project, and DeepSeek is available on request at the same stated price [35]. Enterprise includes the listed model add-ons as standard [35]. Anthropic estimated that full seven-engine coverage can reach $300+/month per client across models [36].

Citation and visibility analysis is described as covering visibility rate, citation rate, mention rate, and sentiment distilled into a single composite score [38]. Ayzeo states that the Citation Analytics dashboard includes a model selector so agencies can view these metrics separately per enabled AI platform (official:C2).

Competitor benchmarking is included in Pro as standard rather than as an add-on, according to Ayzeo [39]. The platform describes industry ranking tables comparing citation rates, average positions, and mention frequency across competitors [40].

Optimization tooling extends beyond monitoring. Ayzeo states that it includes JSON-LD schema generation, LLMs.txt file creation, AI-optimized content generation, meta tag optimization, and a WordPress plugin [41]. The WordPress plugin is listed in the WordPress.org plugin directory and is described as providing technical site auditing, one-click schema fixes, IndexNow integration, and AI crawler access controls [42].

A free instant audit is available before signup. Ayzeo describes it as a 30-second technical audit flagging AI-readiness issues including HTML structure, meta tags, schema markup, content quality, and GEO factors [43].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Ayzeo Pro cost per month for an agency, and what are the add-on fees?
  • What are Ayzeo's refund, trial, and cancellation terms for agency subscriptions?
  • Is Ayzeo Enterprise at $6,000 per month worth it compared with Pro plus add-ons?

Known costs, as published on Ayzeo's pricing page and corroborated by multiple platforms:

ItemCost
Starter plan$39/month (1 project)
Pro plan$149/month (3 projects) or $119/month equivalent annual
Additional Pro projects$49/month each
Additional Starter projects$39/month each
White-Label Dashboard add-on$299/month on Pro, or $2,870/year
Additional AI model$29/month per model per project, or $280/year
Prompt Pack$15/month per pack (+10 prompts per project)
EnterpriseFrom $6,000/month, custom terms

Sources: [44].

Trial and refund terms are narrow. A 14-day Pro trial is advertised with a card required and the first charge on day 15 unless cancelled [44]. Ayzeo states that paid subscriptions have limited refunds within seven days of purchase only for technical failure or inability to perform as advertised, and that renewal charges are not eligible for refunds under any circumstances [44].

Billing mechanics. Annual billing is stated to save 20%, and upgrades or downgrades are prorated automatically [44]. Subscriptions auto-renew at the end of each billing period unless cancelled before the renewal date (official:C3). Ayzeo reserves the right to change subscription fees at any time upon notice, effective at the start of the next billing cycle (official:C3).

Agency margin context. Ayzeo states that agencies reselling AI visibility reporting charge $500 to $1,500 per client per month for monitoring, reporting, and GEO remediation [48]. That is a company-published figure, not independently verified, but it frames the per-client economics an agency would evaluate against the $49/month additional-project cost on Pro.

Best Suited For

Questions This Section Answers

  • Is Ayzeo Pro the best fit for a small agency managing three to thirty client AI search audit accounts?
  • Which agencies get the most value from Ayzeo's white-label PDF reports and GA4 integration?

Ayzeo Pro is best suited to agencies adding AI search visibility monitoring or GEO audits to existing SEO, content, PR, or digital-marketing retainers [49]. The strongest fit is an agency that already sells SEO and wants a branded audit deliverable without building its own analytics stack.

An independent review source describes Ayzeo as ideal for mid-size digital agencies with 5–30 clients that need agency-grade multi-client management, white-label PDF reports, and GA4 integration [50]. That is an independent characterization, though it is a single source and should be weighted accordingly.

Agencies serving SMB and mid-market clients are described by Ayzeo as usually better served by Pro at $149/month with white-label PDF reports, GA4 and Google Search Console integration, and owned-channels tracking [51]. Agencies that want the audit and the implementation guidance in one place benefit from the bundled optimization tooling rather than a monitoring-only tool [52].

Agencies with up to several client projects that can work within Pro's prompt and project limits are the natural entry profile [49]. Unlimited team seats on every paid plan mean no per-seat cost barrier to inviting internal staff or client stakeholders [53].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Ayzeo for white-label AI search audits delivered to agency clients?
  • Is Ayzeo a poor fit for agencies that need a fully branded client portal at a low price?

Agencies requiring a fully branded client portal, custom domain, API, self-hosting, or SLA support at a price below Enterprise are not well served by Pro [54]. The branded dashboard is a $299/month add-on on Pro, and custom domain and self-hosting sit at the Enterprise tier [55].

Agencies needing very high prompt volumes or extensive model coverage without paying per-model and prompt-pack add-ons will find the cost structure limiting [54]. Pro's 40-prompt base limit per project may be restrictive for broad, high-volume client research [57].

Buyers requiring substantial independent validation of measurement accuracy or customer outcomes before procurement should look elsewhere or negotiate a pilot [54]. The reviewed evidence is primarily Ayzeo-owned product and pricing material, and no independent test, benchmark, or third-party audit validating reported visibility, citation, or client-outcome accuracy was identified in the sources checked [58].

Agencies that need a dedicated support SLA should note that Ayzeo offers email and help desk support with no published response-time guarantees, and Capterra shows no user reviews of support quality [59]. Enterprise organizations managing 100+ brands requiring custom domain, self-hosting, or full SAML/SSO control should use the Enterprise tier rather than Pro [60].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Ayzeo for an agency that only needs AI visibility monitoring without implementation tools?
  • When is a competitor like Otterly, Profound, Scrunch, or Peec a better choice than Ayzeo for agency white-label audits?

Monitoring-only agencies may prefer Otterly.AI or Profound. Ayzeo states that Otterly.ai and Peec AI are strong monitoring platforms, with Otterly covering 6 AI engines with unlimited seats and a GEO Audit [61]. Ayzeo also states that most competitors, including Profound, Scrunch AI, Otterly.ai, and Peec AI, focus primarily on tracking and analytics [62]. These are company-authored comparisons and should be treated as vendor framing.

Agencies needing deep prompt volume analysis may prefer Scrunch AI. Anthropic reported that Scrunch AI at $250–$500/month includes more granular persona and funnel-stage breakdowns than Ayzeo [63]. Anthropic also reported that Peec AI at €180/month Pro billed annually includes stronger geo-specific data and citation-gap analysis for multi-country tracking [63].

Agencies already embedded in the Ahrefs or Semrush ecosystems may face lower switching cost with Ahrefs Brand Radar integrated into an existing Ahrefs account [63]. Ayzeo itself describes its position as a newer, smaller vendor without Ahrefs' data track record [64].

Kimi surfaced several alternative providers with published pricing that Ayzeo does not match in transparency: AEOlens Agency at $249/month with 40 AI buyer simulations across 5 models and unlimited scans [65], AI Labs Audit from €79/month with white-label premium PDF and client portal [66], Daryo89 from £25/audit with volume credits valid three years [67], MendMySEO Agency at $249/month with 15 pooled workspaces [68], and E2M Solutions white-label GEO services with month-to-month contracts [69]. These are vendor-owned pages and were surfaced by a platform that could not verify Ayzeo at all, so treat the comparison as directional.

Questions to Verify Before Buying

Questions This Section Answers

  • What should an agency confirm with Ayzeo before signing an annual contract for white-label AI search audits?
  • How can a buyer verify Ayzeo's measurement methodology and data handling before committing?

The platforms surfaced a consistent set of unresolved questions. These are the items to confirm in writing before committing to an annual term.

Measurement methodology. Ask whether prompt results come from a consistent, auditable sampling methodology and whether the agency can export raw prompt responses and timestamps [70]. Ask whether citation rates are based on AI systems opening URLs, appearing as cited sources, or both, and how those metrics are reconciled across models [70]. Ayzeo does not publish whether citation data is collected in real time via API or through scheduled polling [71].

Prompt refresh frequency. Ayzeo states that Pro includes site scan and answer refresh every second day [72]. Confirm whether Starter differs and whether manual refresh is available on the plan you buy [71].

GA4 detection accuracy. Ayzeo claims to automatically detect AI chatbot traffic from ChatGPT, Perplexity, Claude, and others, but GA4 user-agent recognition for AI bots is known to be incomplete and variable, and no independent audit of Ayzeo's detection accuracy is published [71]. Ask whether detection uses user-agent parsing, direct API calls, or another method [71].

White-label scope. Confirm whether Pro includes only white-label PDFs or whether the live dashboard can be branded without the $299/month add-on [73]. Ask whether per-project branding is applied at report export time or at dashboard view time [71].

Project counting. Confirm whether the three included projects are counted per client, per site, or per separate audit scope [73]. Ayzeo's agency page says pricing is flat and per client, while the pricing page presents projects as the billable unit; the practical interpretation is one project per client website, but this should be confirmed for multi-domain or multi-location clients [70].

Data handling and retention. Ask about data-retention, deletion, privacy, subprocessors, and client-data isolation terms [70]. Ask what happens to projects, reports, and historical data after cancellation [70].

Enterprise terms. Ask for the minimum annual commitment, price-lock policy, SLA language, implementation fees, and cancellation rights, none of which are publicly specified [74].

References. Ask for current customer references from United States agencies using the exact Pro or Enterprise workflow [70].

Final AI Consensus Verdict

Ayzeo is a good fit for agencies delivering white-label AI search audits and visibility reporting to SMB and mid-market clients. The consensus across the platforms that produced detailed responses is that Pro covers the core use-case requirements — branded PDF reports, citation analytics, competitor benchmarking, GA4 integration, and implementation tooling — at an entry price that justifies adding GEO as a service line.

That consensus is not unanimous. Fit ratings ranged from strong (Google, Grok) to good (OpenAI, Anthropic, Perplexity) to mixed (DeepSeek) to uncertain (Kimi). The uncertain and mixed ratings trace to retrieval and search limitations rather than to contradictory findings about the product, but they still mean the evidence base is thinner than the confident ratings imply.

The practical recommendation is a paid pilot on Pro, with written confirmation of white-label scope, project counting, GA4 detection method, prompt refresh cadence, and cancellation terms before any annual commitment. Agencies that need a fully branded client portal, custom domain, or API access should price Enterprise before assuming Pro is sufficient.

How This Review Was Produced

This review was produced from seven platform fit-research responses collected for the research date 2026-09-18. Each platform independently evaluated Ayzeo against the use case of White-Label AI Search Audit Services for Agencies. Two of the seven platforms named Ayzeo during ranking discovery, and only those two contributed listed ranks. All seven contributed fit assessments, feature findings, pricing findings, and verification questions.

The article reports platform agreement as unanimous, strong, majority, mixed, or limited based on the supplied responses. It does not treat platform agreement as proof of product quality. Company-owned evidence is distinguished from independent evidence throughout, and claims that lack a supporting citation are labeled platform-reported or unverified.

Methodology Limitations

Several limitations apply to this review.

Company-owned citations materially outnumber independent citations. Of the deduplicated sources, 32 are owned, 6 are independent, and 1 is unclear. Most capability claims trace back to Ayzeo's own pages and should not be described as independently verified.

Platform-reported research dates differ from the authoritative run date. DeepSeek's research is dated 2026-02-14, seven months before the 2026-09-18 run date, and its provenance shows search was not enabled. Platform-reported dates are provenance metadata and do not independently prove freshness.

Kimi could not verify Ayzeo at all. Its finding that no verifiable information exists conflicts with six other platforms that retrieved Ayzeo pages. This conflict is unresolved in the supplied evidence and is most plausibly a retrieval failure, but it is reported as supplied.

Pricing conflicts exist across sources. Capterra lists legacy plan names and prices that do not match the current Starter and Pro structure. Ayzeo's own pages contain conflicting pricing wording around the $299/month dashboard add-on. Enterprise terms are not publicly specified.

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. No personal testing, customer experience, or independent verification was performed for this review.

Explore more ai search audits market intelligence guidance in the category directory.

Sources

Company-Owned Sources

Independent Sources

  • 10 Best White-Label AI Visibility Platforms for SEO Agencies: https://indexly.ai/blog/10-best-white-label-aeo-agency/
  • AI Visibility, GEO and AEO Plugin for WordPress: Ayzeo: https://wordpress.org/plugins/ayzeo/
  • Ayzeo Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10033788/Ayzeo/
  • Top 10 Ayzeo Alternatives & Competitors in 2026 | G2: https://www.g2.com/products/ayzeo/competitors/alternatives
  • Ayzeo Reviews 2026: Details, Pricing, & Features - G2: https://www.g2.com/products/ayzeo/reviews
  • Web search results for Ayzeo white-label AI search audit services: https://www.google.com/search?q=Ayzeo+white-label+AI+search+audit+agencies
  • Additional AI research evidence74 records
    1. AI research evidence record anthropic:25-11
    2. AI research evidence record google:1.1.2
    3. AI research evidence record openai:c1
    4. AI research evidence record google:1.1.1
    5. AI research evidence record anthropic:11-2
    6. AI research evidence record anthropic:18-4
    7. AI research evidence record anthropic:18-7
    8. AI research evidence record perplexity:c4
    9. AI research evidence record anthropic:14-1
    10. AI research evidence record anthropic:14-2
    11. AI research evidence record openai:c2
    12. AI research evidence record anthropic:1-7
    13. AI research evidence record grok:3
    14. AI research evidence record perplexity:c2
    15. AI research evidence record google:1.1.2
    16. AI research evidence record openai:c3
    17. AI research evidence record anthropic:23-4
    18. AI research evidence record anthropic:1-20
    19. AI research evidence record grok:2
    20. AI research evidence record google:1.1.1
    21. AI research evidence record anthropic:39-1
    22. AI research evidence record google:1.1.9
    23. AI research evidence record perplexity:c5
    24. AI research evidence record anthropic:46-14
    25. AI research evidence record anthropic:46-16
    26. AI research evidence record kimi:search_2026_09_18
    27. AI research evidence record openai:c3
    28. AI research evidence record deepseek:c1
    29. AI research evidence record perplexity:c1
    30. AI research evidence record perplexity:c2
    31. AI research evidence record anthropic:29-2
    32. AI research evidence record google:1.1.1
    33. AI research evidence record openai:c1
    34. AI research evidence record grok:11
    35. AI research evidence record openai:c1
    36. AI research evidence record anthropic:1-20
    37. AI research evidence record anthropic:39-15
    38. AI research evidence record anthropic:23-1
    39. AI research evidence record anthropic:6-12
    40. AI research evidence record anthropic:3-4
    41. AI research evidence record anthropic:4-1
    42. AI research evidence record google:1.1.5
    43. AI research evidence record anthropic:24-3
    44. AI research evidence record openai:c1
    45. AI research evidence record anthropic:11-2
    46. AI research evidence record grok:11
    47. AI research evidence record google:1.1.1
    48. AI research evidence record anthropic:6-1
    49. AI research evidence record openai:c2
    50. AI research evidence record anthropic:9-1
    51. AI research evidence record anthropic:12-1
    52. AI research evidence record anthropic:25-7
    53. AI research evidence record anthropic:1-20
    54. AI research evidence record openai:c2
    55. AI research evidence record anthropic:12-9
    56. AI research evidence record anthropic:4-6
    57. AI research evidence record openai:c1
    58. AI research evidence record openai:c3
    59. AI research evidence record anthropic:29-2
    60. AI research evidence record anthropic:1-20
    61. AI research evidence record anthropic:25-1
    62. AI research evidence record anthropic:25-8
    63. AI research evidence record anthropic:1-20
    64. AI research evidence record anthropic:41-1
    65. AI research evidence record kimi:aeolens_2026
    66. AI research evidence record kimi:ailabsaudit_2026
    67. AI research evidence record kimi:daryo89_2026
    68. AI research evidence record kimi:mendmyseo_2026
    69. AI research evidence record kimi:e2m_2026
    70. AI research evidence record openai:c2
    71. AI research evidence record anthropic:1-20
    72. AI research evidence record perplexity:c7
    73. AI research evidence record perplexity:c1
    74. AI research evidence record openai:c1

Other Sources

  • Additional AI research evidence74 records
    1. AI research evidence record anthropic:25-11
    2. AI research evidence record google:1.1.2
    3. AI research evidence record openai:c1
    4. AI research evidence record google:1.1.1
    5. AI research evidence record anthropic:11-2
    6. AI research evidence record anthropic:18-4
    7. AI research evidence record anthropic:18-7
    8. AI research evidence record perplexity:c4
    9. AI research evidence record anthropic:14-1
    10. AI research evidence record anthropic:14-2
    11. AI research evidence record openai:c2
    12. AI research evidence record anthropic:1-7
    13. AI research evidence record grok:3
    14. AI research evidence record perplexity:c2
    15. AI research evidence record google:1.1.2
    16. AI research evidence record openai:c3
    17. AI research evidence record anthropic:23-4
    18. AI research evidence record anthropic:1-20
    19. AI research evidence record grok:2
    20. AI research evidence record google:1.1.1
    21. AI research evidence record anthropic:39-1
    22. AI research evidence record google:1.1.9
    23. AI research evidence record perplexity:c5
    24. AI research evidence record anthropic:46-14
    25. AI research evidence record anthropic:46-16
    26. AI research evidence record kimi:search_2026_09_18
    27. AI research evidence record openai:c3
    28. AI research evidence record deepseek:c1
    29. AI research evidence record perplexity:c1
    30. AI research evidence record perplexity:c2
    31. AI research evidence record anthropic:29-2
    32. AI research evidence record google:1.1.1
    33. AI research evidence record openai:c1
    34. AI research evidence record grok:11
    35. AI research evidence record openai:c1
    36. AI research evidence record anthropic:1-20
    37. AI research evidence record anthropic:39-15
    38. AI research evidence record anthropic:23-1
    39. AI research evidence record anthropic:6-12
    40. AI research evidence record anthropic:3-4
    41. AI research evidence record anthropic:4-1
    42. AI research evidence record google:1.1.5
    43. AI research evidence record anthropic:24-3
    44. AI research evidence record openai:c1
    45. AI research evidence record anthropic:11-2
    46. AI research evidence record grok:11
    47. AI research evidence record google:1.1.1
    48. AI research evidence record anthropic:6-1
    49. AI research evidence record openai:c2
    50. AI research evidence record anthropic:9-1
    51. AI research evidence record anthropic:12-1
    52. AI research evidence record anthropic:25-7
    53. AI research evidence record anthropic:1-20
    54. AI research evidence record openai:c2
    55. AI research evidence record anthropic:12-9
    56. AI research evidence record anthropic:4-6
    57. AI research evidence record openai:c1
    58. AI research evidence record openai:c3
    59. AI research evidence record anthropic:29-2
    60. AI research evidence record anthropic:1-20
    61. AI research evidence record anthropic:25-1
    62. AI research evidence record anthropic:25-8
    63. AI research evidence record anthropic:1-20
    64. AI research evidence record anthropic:41-1
    65. AI research evidence record kimi:aeolens_2026
    66. AI research evidence record kimi:ailabsaudit_2026
    67. AI research evidence record kimi:daryo89_2026
    68. AI research evidence record kimi:mendmyseo_2026
    69. AI research evidence record kimi:e2m_2026
    70. AI research evidence record openai:c2
    71. AI research evidence record anthropic:1-20
    72. AI research evidence record perplexity:c7
    73. AI research evidence record perplexity:c1
    74. AI research evidence record openai: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
39
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#10

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

6 independent · 32 company-owned · 1 unclear

Evidence support

20 direct · 2 partial

Important limitation

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Source snapshot SHA-256 2ae6f8190b4d071436e6bcea2e7297e3c0a2dbd24984a3bfbfe60a3fcdb07a63