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AI Consensus Fit Review

Peec AI AI Citation Partner Fit Review for Source Intelligence, Strategy, and Execution

Peec AI is a good fit for the measurement half of an AI citation program and a mixed fit for the strategy-and-execution half.

Research: 2026-09-177 usable platform responsesRead the methodology ↗

Answer Capsule

Peec AI is a good fit for the measurement half of an AI citation program and a mixed fit for the strategy-and-execution half. Three of seven platforms named Peec AI during ranking discovery (google, openai, perplexity), placing it at an average listed rank of 6.0 and a best listed rank of 5. Its strongest reason to consider it is direct source and citation intelligence: domain- and URL-level tracking of which pages influence AI answers, competitor citation benchmarking, and daily multi-engine monitoring. Its main limitation is that public evidence describes an analytics and monitoring platform, not a managed GEO strategy or content-execution service, so buyers must supply their own implementation capacity [1].

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (google, openai, perplexity)
Share of included platform responses42.9%
Average listed rank6.0
Best listed rank5
Relevant product/model/planAgency or Enterprise Plan; Peec AI AI Search Analytics platform
Overall use-case fitGood for source intelligence and citation measurement; mixed for managed strategy and execution
Research date2026-09-17

Why Peec AI Qualified for This Study

Questions This Section Answers

  • Is Peec AI a good choice for AI Citation Partners for Source Intelligence, Strategy, and Execution?
  • How many AI platforms recommended Peec AI for source intelligence and GEO strategy work?

Peec AI qualified because it was named during ranking discovery by three of the seven included platforms — google, openai, and perplexity — which is 42.9% of included platform responses. Its listed ranks were 6 (google), 5 (openai), and 7 (perplexity), giving an average listed rank of 6.0 and a best listed rank of 5. It reached a final rank of 4 in the normalized ranking.

The qualification rests on capability alignment rather than popularity. Peec AI's official materials describe AI-search monitoring, source analytics, domain and URL detail, competitor analysis, product and shopping-source visibility, crawlability and crawl insights, reporting, API access, SSO, and agency or enterprise capabilities [3]. Its agency materials describe tracking mention rate, average position, citation count, sentiment, multiple AI platforms, reporting, analytics integrations, and agency workflows [4].

Independent reviews add that Peec AI distinguishes between sources (URLs accessed by AI) and citations (URLs explicitly referenced), analyzing both to understand which websites influence AI answers [5]. That distinction maps directly onto the study's requirement to identify which domains and pages influence AI answers.

Qualification is not the same as proven performance. One platform (kimi) could not verify Peec AI's product existence, pricing, or feature documentation from public sources and rated the fit uncertain, noting that the official website could not be verified during its research [6]. That dissent is preserved in this review rather than averaged away.

The Product, Model, Plan, or Service Most Relevant to AI Citation Partners for Source Intelligence, Strategy, and Execution

Questions This Section Answers

  • Which Peec AI plan should a buyer choose if they need multi-brand citation tracking for an agency?
  • Does Peec AI's Agency or Enterprise Plan include hands-on GEO strategy and content execution?

The relevant offering is the Peec AI AI Search Analytics platform, accessed through an Agency or Enterprise Plan. Every platform that named Peec AI in the ranking stage pointed to the same product family: the AI Search Analytics platform plus an Agency or Enterprise Plan [7].

For this use case, the Agency tier matters because the buyer needs multi-brand or multi-project citation intelligence. Peec AI's agency pricing page describes plans built for multi-brand tracking with credit-based allocation [12]. Agency materials describe tracking mention rate, average position, citation count, sentiment, multiple AI platforms, reporting, analytics integrations, and agency workflows [13].

The Enterprise tier matters for coverage and controls. Public materials associate broader model access, API access, and SSO with higher-tier or custom arrangements [7]. One platform reported that Enterprise tiers support up to 11 models including Claude, Mistral, and DeepSeek, while self-serve plans track three models by default [14].

What the plan does not appear to include is execution. Public evidence describes analytics, monitoring, diagnostics, integrations, and reporting rather than hands-on content, digital PR, or implementation services [7]. One independent review states plainly that Peec AI excels at diagnosis but offers no treatment — it identifies gaps but does not explain why or provide actionable execution steps [16]. Another notes the monitoring-to-execution gap is a normal limitation for specialist analytics tools [15].

What the AI Platforms Agreed About

Questions This Section Answers

  • What does Peec AI actually measure for AI citation and source intelligence?
  • Which AI platforms does Peec AI track citations across?

Agreement was strongest on measurement capability. Six of seven platforms rated Peec AI a good fit for source intelligence and citation monitoring (openai, anthropic, google, grok, perplexity, and — with caveats — deepseek rated it mixed rather than poor). The shared findings:

Citation and source intelligence. Peec AI reports citation counts and provides source analytics with domain and URL detail views [17]. It distinguishes sources from citations and analyzes both [19]. It classifies sources into types such as editorial, corporate, and user-generated content [20].

Competitor citation measurement. The platform tracks competitor visibility and citations, provides competitor suggestions, and supports comparative visibility and position analysis [17]. Share of voice is described as a core metric showing the percentage of tracked prompts returning your brand versus competitors [22].

Multi-engine coverage. Public materials identify coverage for ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Microsoft Copilot [17]. One review reports tracking across ChatGPT, Gemini, Google AI Overviews, DeepSeek, Claude, Grok, and Microsoft Copilot [23]. Another states all six engines are included in plans rather than sold as paid add-ons [24] — a claim that conflicts with other sources describing per-model add-ons, and which buyers should verify.

Recurring monitoring. Daily or weekly tracking, historical comparisons, automated reporting, shareable dashboards, API access, Looker Studio connectivity, webhooks, and crawl insights support recurring measurement [17]. One review reports daily updates on visibility [25].

Reporting and export. CSV exports, Looker Studio connector, and API access on higher tiers are documented [26].

Agreement on these points does not prove product quality. It reflects that multiple platforms retrieved similar vendor and review material.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Peec AI a full AI citation partner or only a monitoring tool?
  • How reliable is Peec AI's citation data given private and enterprise AI conversations are invisible?

The sharpest disagreement was about scope. Openai, anthropic, google, grok, and perplexity rated the fit good while noting the execution gap. Deepseek rated it mixed, stating that public evidence does not substantiate Peec AI as a full strategy-and-execution partner and that execution appears to remain with the buyer or agency [28]. Kimi rated it uncertain, reporting no verifiable public documentation of citation tracking capabilities, no third-party reviews or case studies found, and an unverified official website [30].

Pricing was the second fault line. Openai reported low pricing confidence, noting the official pricing page confirms custom Enterprise pricing but does not clearly expose exact agency dollar prices, and that independent sources report different currencies, plan labels, model counts, and agency allowances [31]. Anthropic reported moderate confidence with tiered figures of $95, $245, and $495 per month for brand plans and agency plans starting at $245 [33]. Perplexity reported agency plans at $245, $495, and $795 per month [34]. Google reported high confidence with Starter at $95/month, Pro at $245/month, Advanced at $495/month, and Enterprise starting at $499/month on some standard options [35]. Grok reported Starter ~$95/month, Pro ~$245/month, Advanced ~$495/month, and agency tiers starting around €205/month [36]. Deepseek reported that public list pricing was not verified at all [29].

Model coverage was the third uncertainty. Sources disagree on whether API access is included on all plans or only Advanced and Enterprise [37]. Sources also disagree on whether all engines are included or sold as add-ons [33].

Measurement scope was a fourth. Private ChatGPT conversations, enterprise deployments, and offline LLM instances are invisible to Peec AI, so citation rates should be treated as a floor estimate [39]. One review reports citation volatility with 40–60% of cited domains changing monthly for some categories [40].

Data collection method was a fifth. Multiple sources report Peec AI uses UI scraping rather than APIs, capturing responses actual users see [41], but Peec's official documentation does not explicitly confirm this, and one source recommends confirming the collection method directly with Peec if it matters for procurement or compliance.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Can Peec AI map which specific domains and pages influence AI answers for a GEO program?
  • Does Peec AI identify authority gaps and citation opportunities against competitors?

Peec AI covers most of the intelligence requirements in this use case and only part of the execution requirement.

Use-case requirementPeec AI assessmentEvidence
Identify which domains and pages influence AI answersAdvantageDomain and URL detail views; sources vs citations distinction
Measure its citations and competitor citationsAdvantageCitation counts, competitor visibility, share of voice
Map the category's citation architectureAdvantageSource classification into editorial, corporate, UGC types
Understand how citations relate to recommendationsAdvantage, narrowShopping-source visibility and product-level tracking for AI shopping recommendations
Identify authority gapsAdvantageShows sources appearing in competitor answers but not your own; reveals where competitors receive third-party support
Develop a GEO strategyNeutralPrompt suggestions, topic suggestions, visibility-lift analysis, crawlability audits support prioritization, but no complete managed GEO strategy is established
Execute improvements over timeLimitationAnalytics and recommendations only; no content generation or automated execution

Additional capabilities reported by platforms include an Actions module with optimization recommendations tied to sources shaping AI answers, such as ensuring a profile exists on a regularly cited review site [43]. One platform reported a brand perception module using Market and Objections views to evaluate what AI models say about a brand and recurring objections [44]. Another reported integration with Google Analytics to display AI referrals with click-to-conversion and revenue metrics [45] — a claim that conflicts with other sources stating Peec AI does not offer built-in ROI attribution [46]. Buyers should treat the attribution claim as platform-reported and unverified.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Peec AI cost per month for an Agency or Enterprise plan?
  • Are there setup, add-on, or cancellation fees with Peec AI?

Pricing is the least settled part of this review. Publicly visible figures conflict across sources, and the official pricing page did not expose exact agency dollar amounts in the retrieved material [48].

SourceReported figuresConfidence
AnthropicStarter $95/mo, Pro $245/mo, Advanced $495/mo; Agency Pro $245/mo and up; extra engines €20–30/mo (Starter), €55/mo (Pro), €115/mo (Advanced); annual billing 15% discount; 7-day free trialModerate
PerplexityBrand plans $95/$245/$495 per month; agency plans $245/$495/$795 per month; Enterprise custom; some sources report 15% annual discountModerate
GoogleStarter $95/mo ($80 annual), Pro $245/mo ($205 annual), Advanced $495/mo ($420 annual); Enterprise starts at $499/mo on some standard options; model add-ons $30/mo (Starter), $70/mo (Pro), $140/mo (Advanced)High
GrokStarter ~$95/mo, Pro ~$245/mo, Advanced ~$495/mo; Enterprise custom; agency tiers start ~€205/mo; extra models ~$30–165/mo per modelModerate
OpenaiIndependent reports describe agency tiers of approximately $245, $495, and $795 per month; figures conflict and should be verifiedLow
DeepseekPublic list pricing not verified; Agency/Enterprise tiers appear quote-basedLow

Contract terms are similarly unsettled. Anthropic reports month-to-month and annual billing with a 15% discount, no multi-year contract requirement mentioned, a 7-day free trial, and no per-user seat fees [49]. Openai reports that annual billing discounts are mentioned but exact current discount, cancellation, renewal, refund, and minimum-commitment terms should be confirmed in the order form, and that Enterprise term length, usage commitments, service levels, data-retention terms, and renewal provisions are unclear [48]. Deepseek reports billing cycle, minimum term, cancellation, and SLA terms were not verified from public sources [50].

Additional fees are also unclear. Openai lists potential costs for higher prompt or credit volumes, additional models, custom integrations, enterprise requirements, implementation, onboarding, data-transfer, premium support, and overages as unclear [51]. Anthropic reports no setup, onboarding, or implementation fees and no per-user seat fees, with API access on Advanced and Enterprise plans [49].

Peec announced pricing changes in March 2026 and stated that agency and enterprise plans received project-level flexibility, but the announcement does not independently establish current exact prices or contract terms [48]. Treat every figure above as platform-reported and verify on the live pricing page before purchase.

Best Suited For

Questions This Section Answers

  • Who gets the most value from Peec AI for AI citation source intelligence?
  • Is Peec AI worth it for an agency managing multiple client brands?

Peec AI is best suited to buyers who already have execution capacity and need the intelligence layer.

  • Agencies or internal teams monitoring multiple brands and client projects [52].
  • B2B marketing teams tracking citation drift and authority gaps across AI platforms [54].
  • Content and PR teams identifying which third-party domains — editorial, reference, UGC — influence AI answers [56].
  • Teams needing daily multi-engine citation monitoring across ChatGPT, Perplexity, Gemini, Claude, and related surfaces [58].
  • Organizations developing GEO strategy with data-driven insights and needing to connect monitoring to existing analytics stacks via API or Looker Studio [60].
  • Teams requiring multi-region, multi-language citation tracking [62].

The common thread is that these buyers can act on findings. Peec AI surfaces opportunities but does not execute improvements; users must implement recommendations through separate content and PR efforts [63].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Peec AI for an end-to-end AI citation program?

  • Is Peec AI suitable for a brand-new website with little existing SEO traffic?

  • Buyers seeking a fully managed GEO strategy and implementation service rather than software [64].

  • Teams expecting an all-in-one content creation or execution platform [66].

  • Organizations needing built-in ROI attribution from AI visibility to traffic, leads, or pipeline [68].

  • Very new websites with minimal existing SEO traffic or domain authority; one review notes Peec AI is more useful for sites with decent SEO traffic and that very new startups may not see enough data or value early on [70].

  • Buyers requiring SOC 2 Type II certification or advanced enterprise data governance; no evidence of certification was found in public sources [71].

  • Teams unable to invest in separate content, PR, or SEO resources to execute on citation recommendations [72].

  • Organizations requiring real-time CRM or customer-journey integration; one platform reports Peec AI lacks built-in Salesforce or HubSpot integrations [71].

  • Buyers who need verified published pricing, SLAs, or contractual commitments before procurement [73].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Peec AI when the buyer needs managed GEO execution?
  • When is a cheaper AI citation tool a better choice than Peec AI?

Several platforms named specific conditions under which a different option serves the buyer better.

  • Managed execution is required. Choose a managed GEO, digital PR, content, or technical SEO provider when the buyer needs implementation ownership rather than measurement software [75]. One platform points to MaxAEO or Profound for teams needing end-to-end content execution that integrates visibility monitoring with content optimization and prioritized remediation workflows [76].
  • Budget is the primary constraint. One platform reports OtterlyAI provides weekly URL-level citation analysis starting at $29/month, offering a more affordable entry than Peec AI at $95/month [77].
  • ROI attribution is critical. One platform points to WorkDuo or Semrush for AI visibility tracking bundled with traffic attribution and pipeline measurement [78].
  • Enterprise governance or compliance is required. One platform positions Profound as the enterprise standard with custom pricing, SOC 2 focus, and dedicated account management, noting no evidence of SOC 2 certification for Peec AI [77].
  • Deep product-level insight is needed. One platform reports WorkDuo surfaces which specific products get recommended and which competitors appear alongside them, beyond brand-level citation tracking [77].
  • Very new websites dominate the portfolio. One platform suggests established SEO tools like Ahrefs Brand Radar may provide better early-stage guidance for emerging domains with low citation rates [79].
  • Query volume is extremely high. One platform notes teams tracking 1,000+ distinct buyer prompts may face cost inefficiency with Peec's prompt-based pricing, and volume-based tools may be more economical [77].
  • Automated content generation or edge delivery is required. One platform points to platforms like Profound or MaxAEO for native content generation, and Publive AXP for edge CDN routing that serves token-optimized content directly to AI search scrapers [80].
  • Verified public pricing is a shortlisting requirement. One platform advises considering tools with published pricing tiers when the buyer needs verified public pricing before shortlisting [81].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Peec AI before signing a contract?
  • Which AI platforms and models are actually included in the quoted Peec AI plan?

Platforms converged on a verification checklist. These questions are drawn from the supplied research and should be answered in writing before purchase.

Coverage and scope

  • Which exact AI platforms, models, search modes, countries, languages, and recommendation surfaces are included in the proposed Agency or Enterprise plan [82]?
  • Which specific AI models and versions does Peec AI monitor — does it track major model updates or only engine names [83]?
  • How does Peec AI handle prompt localization and language support for multi-region tracking, and are there additional fees for non-English markets [83]?

Data granularity and export

  • Are source domains, exact cited URLs, citation positions, and answer snapshots exportable through the dashboard, CSV, API, or webhook [82]?
  • Is citation data page/URL-level or domain-level, and can it be exported for authority-gap analysis [85]?
  • How does Peec AI distinguish organic citations from shopping-source visibility and other recommendation placements [82]?

Billing and contract

  • What are the precise monthly price, annual discount, minimum term, renewal, cancellation, refund, overage, and custom-integration terms [86]?
  • How are prompts, models, tracking frequency, credits, projects, and client accounts counted for billing [82]?
  • For the Agency plan, how are credits calculated and allocated across multiple brands, and can credits roll over month-to-month or expire [83]?

Service scope and governance

  • Does Peec provide hands-on GEO strategy, content recommendations, implementation, digital PR, or technical remediation, or only software and support [82]?
  • What validation, sampling, reproducibility, and data-retention controls support reported visibility and citation metrics [82]?
  • Does Peec AI have SOC 2 Type II certification or other data governance certifications, and what data-processing, hosting, subprocessor, security, and SSO terms apply to United States enterprise customers [83]?
  • What is Peec AI's historical uptime SLA, and is there a service credit or refund policy if the platform is unavailable [83]?

Final AI Consensus Verdict

Peec AI is a good fit for the source-intelligence and measurement portion of an AI citation program and a mixed fit for buyers who want a single partner to deliver strategy and execution. Six of seven platforms rated the fit good or mixed-good; one rated it uncertain because it could not verify the product from public sources.

The strongest case for Peec AI is citation and source intelligence: domain- and URL-level tracking of which pages influence AI answers, source classification, competitor citation benchmarking, share-of-voice measurement, authority-gap detection, and daily multi-engine monitoring [87]. The strongest case against treating it as a complete partner is that public evidence describes analytics, monitoring, diagnostics, integrations, and reporting rather than hands-on content, digital PR, or implementation services [87].

Buyers should treat pricing, model coverage, API inclusion, contract terms, and compliance status as unverified until confirmed in writing. Public figures conflict across sources, and the official pricing page did not expose exact agency dollar amounts in the retrieved material [91].

How This Review Was Produced

This review aggregates fit-research responses from seven AI platforms — openai, anthropic, google, grok, perplexity, deepseek, and kimi — each of which independently evaluated Peec AI against the use case "AI Citation Partners for Source Intelligence, Strategy, and Execution." The study date is 2026-09-17.

Ranking statistics reflect the ranking-discovery stage: three of seven platforms named Peec AI (google, openai, perplexity), producing a 42.9% platform share, an average listed rank of 6.0, a best listed rank of 5, and a final rank of 4. Platform mentions count only platforms that named the entity during ranking discovery; all included platforms evaluated fit.

Each platform's response included a fit rating, use-case findings, strengths, limitations, pricing and terms, and questions to verify before buying. This review preserves those findings, including disagreements, and labels vendor-origin claims as company-owned evidence. The consensus index for this category is available at AI Citation Partners for Source Intelligence, Strategy, and Execution.

Buyers exploring the broader category can review the ai citation authority building directory for related fit reviews and vendor comparisons.

Methodology Limitations

  • All citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
  • Platform-reported research dates differ from the authoritative run date. Deepseek reported a research date of 2026-01-15; the other six platforms reported 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
  • Deepseek's research ran with search disabled, so its findings rest on model knowledge rather than retrieved sources.
  • Official-site retrieval failed for Peec AI during normalization; the reported domain [93] was retained but remains unverified as the canonical key. Identity was established through exact-name fallback, which indicates possible matching error.
  • One platform (kimi) could not verify Peec AI's product existence, pricing, or feature documentation and rated the fit uncertain. That dissent is preserved rather than resolved.
  • Pricing figures conflict across sources on currency, plan labels, model counts, agency allowances, and add-on costs. No figure in this review should be treated as established.
  • Public evidence does not independently validate Peec's reported visibility, citation, or business-impact metrics. One customer testimonial claims a 5x year-over-year increase in traffic from LLMs, but Peec AI marketing materials acknowledge the platform does not include built-in ROI attribution, suggesting those results required external measurement.
  • No evidence of SOC 2 Type II certification was found in public sources; buyers requiring compliance should ask directly.
  • AI-platform agreement on a finding does not prove product quality. It reflects that multiple platforms retrieved similar vendor and review material.

Sources

Company-Owned Sources

  • Welcome to Peec AI - Peec.ai Docs: https://docs.peec.ai/intro-to-peec-ai
  • Citation Source Intelligence — three layers | GEO Tracker AI: https://geotrackerai.com/docs/concepts/citation-source-intelligence
  • Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/
  • Pricing update: More value for everyone: https://peec.ai/blog/pricing-update
  • AI Search Visibility Tracking for Marketing Agencies: https://peec.ai/for-agencies
  • Pricing for Peec AI - AI Search Analytics for Marketing Teams and SEO Agencies: https://peec.ai/pricing
  • Peec AI Agency Pricing: Plans Built for Multi-Brand Tracking: https://peec.ai/pricing-agencies
  • unseat.ai - Citation Engineering platform: https://unseat.ai/
  • Citations Intelligence — Sources Behind AI Answers: https://viali.ai/product/citations-source-intelligence/
  • AI SEO & Generative Engine Optimization (GEO) Tool: https://www.citedintel.com/
  • Cited for Enterprise | AI Search Visibility Across Markets: https://www.citedintel.com/for/enterprise
  • AI Citation Tracking Software for Brands: https://www.frictionai.co/product/ai-source-citation-tracking
  • Source Intelligence: Map Your Third-Party AI Citations: https://www.getcited.in/blog/source-intelligence-third-party-ai-citations
  • Citation Intelligence: Find Your Hidden Earned Media: https://www.spyglasses.io/en/citation-intelligence
  • Additional AI research evidence93 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:cit_4_diagnosis_not_treatment
    3. AI research evidence record openai:c1
    4. AI research evidence record openai:c2
    5. AI research evidence record anthropic:cit_23_sources_citations
    6. AI research evidence record kimi:unverified-identity
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:cit_1_competitor_benchmarking
    9. AI research evidence record perplexity:c2
    10. AI research evidence record grok:web:6
    11. AI research evidence record deepseek:c3
    12. AI research evidence record perplexity:c3
    13. AI research evidence record openai:c2
    14. AI research evidence record google:citation_3
    15. AI research evidence record anthropic:cit_26_execution_gap
    16. AI research evidence record anthropic:cit_4_diagnosis_not_treatment
    17. AI research evidence record openai:c1
    18. AI research evidence record openai:c2
    19. AI research evidence record anthropic:cit_23_sources_citations
    20. AI research evidence record anthropic:cit_12_source_classification
    21. AI research evidence record grok:web:0
    22. AI research evidence record anthropic:cit_3_share_of_voice
    23. AI research evidence record anthropic:cit_5_multi_engine
    24. AI research evidence record anthropic:cit_16_all_engines_included
    25. AI research evidence record anthropic:cit_7_daily_updates
    26. AI research evidence record anthropic:cit_12_reporting_integrations
    27. AI research evidence record anthropic:cit_22_data_export
    28. AI research evidence record deepseek:c1
    29. AI research evidence record deepseek:c3
    30. AI research evidence record kimi:unverified-identity
    31. AI research evidence record openai:c3
    32. AI research evidence record openai:c4
    33. AI research evidence record anthropic:cit_16_all_engines_included
    34. AI research evidence record perplexity:c2
    35. AI research evidence record google:citation_3
    36. AI research evidence record grok:web:6
    37. AI research evidence record anthropic:cit_12_reporting_integrations
    38. AI research evidence record openai:c1
    39. AI research evidence record anthropic:cit_3_monitoring_limits
    40. AI research evidence record anthropic:cit_4_citation_drift
    41. AI research evidence record anthropic:cit_3_ui_scraping
    42. AI research evidence record anthropic:cit_4_real_world_accuracy
    43. AI research evidence record anthropic:cit_8_actions_module
    44. AI research evidence record google:citation_2
    45. AI research evidence record google:citation_1
    46. AI research evidence record anthropic:cit_8_no_roi_attribution
    47. AI research evidence record anthropic:cit_24_limited_roi_attribution
    48. AI research evidence record openai:c3
    49. AI research evidence record anthropic:cit_16_all_engines_included
    50. AI research evidence record deepseek:c3
    51. AI research evidence record openai:c1
    52. AI research evidence record openai:c1
    53. AI research evidence record anthropic:cit_1_competitor_benchmarking
    54. AI research evidence record anthropic:cit_4_citation_drift
    55. AI research evidence record anthropic:cit_23_authority_opportunities
    56. AI research evidence record anthropic:cit_12_source_classification
    57. AI research evidence record grok:web:0
    58. AI research evidence record anthropic:cit_5_multi_engine
    59. AI research evidence record anthropic:cit_7_daily_updates
    60. AI research evidence record anthropic:cit_12_reporting_integrations
    61. AI research evidence record anthropic:cit_22_data_export
    62. AI research evidence record anthropic:cit_16_all_engines_included
    63. AI research evidence record anthropic:cit_26_execution_gap
    64. AI research evidence record openai:c1
    65. AI research evidence record deepseek:c1
    66. AI research evidence record anthropic:cit_4_diagnosis_not_treatment
    67. AI research evidence record grok:web:7
    68. AI research evidence record anthropic:cit_8_no_roi_attribution
    69. AI research evidence record anthropic:cit_24_limited_roi_attribution
    70. AI research evidence record anthropic:cit_24_brand_new_websites
    71. AI research evidence record anthropic:cit_16_all_engines_included
    72. AI research evidence record anthropic:cit_26_execution_gap
    73. AI research evidence record deepseek:c3
    74. AI research evidence record openai:c3
    75. AI research evidence record openai:c1
    76. AI research evidence record anthropic:cit_8_actions_module
    77. AI research evidence record anthropic:cit_16_all_engines_included
    78. AI research evidence record anthropic:cit_24_limited_roi_attribution
    79. AI research evidence record anthropic:cit_24_brand_new_websites
    80. AI research evidence record google:citation_4
    81. AI research evidence record deepseek:c3
    82. AI research evidence record openai:c1
    83. AI research evidence record anthropic:cit_16_all_engines_included
    84. AI research evidence record anthropic:cit_22_data_export
    85. AI research evidence record deepseek:c3
    86. AI research evidence record openai:c3
    87. AI research evidence record openai:c1
    88. AI research evidence record anthropic:cit_23_sources_citations
    89. AI research evidence record anthropic:cit_4_citation_gaps
    90. AI research evidence record anthropic:cit_4_diagnosis_not_treatment
    91. AI research evidence record openai:c3
    92. AI research evidence record deepseek:c3
    93. AI research evidence record anthropic:cit_2_geo_strategy

Independent Sources

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 17, 2026
Platforms analyzed
7
Source records
34
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#4

Research trail and source mix

Configured platforms

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

Source mix

20 independent · 14 company-owned

Evidence support

25 direct · 4 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 8fecec468f56e5c62b67821791ebc73cdfb5b6ded66bbf960eb6dacefde78012