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AI Consensus Fit Review

Peec AI AI Visibility Platform Fit Review for Measurement and Strategy

Peec AI is a good fit for companies that need recurring measurement of brand visibility, citation sources, competitor share of voice, and prioritized GEO/AEO actions across major AI answer engines.

Research: 2026-09-197 usable platform responsesRead the methodology ↗

Answer Capsule

Peec AI is a good fit for companies that need recurring measurement of brand visibility, citation sources, competitor share of voice, and prioritized GEO/AEO actions across major AI answer engines. Five of the seven platforms in this study named Peec AI during the ranking stage, and four of those five rated it a good or strong fit for this use case. Its strongest asset is citation intelligence: it separates "used" sources from "cited" sources and scores source gaps by estimated impact. The main limitation is that Peec AI diagnoses visibility problems but does not execute fixes, and it offers no historical backfill, so tracking begins only at signup.

Research Snapshot

FieldFinding
Platform mentions in ranking stage5 of 7 platforms named Peec AI (deepseek, google, grok, kimi, openai)
Share of included platform responses71.4% (5 of 7)
Average listed rank5.6
Best listed rank2 (grok)
Relevant product/model/planPeec AI AI Search Analytics platform; Starter, Pro, Advanced, and Enterprise brand plans, plus separate agency tiers
Overall use-case fitGood, with material caveats on execution, historical data, and pricing transparency
Research date2026-09-19

Why Peec AI Qualified for This Study

Questions This Section Answers

  • Is Peec AI a good choice for AI Visibility Platforms for Measurement and Strategy?
  • How many AI platforms named Peec AI in this study, and does that make it a safe pick?

Peec AI qualified because it is purpose-built for AI-search visibility measurement rather than adapted from traditional rank tracking, and because a majority of the platforms in this study surfaced it by name. Five of the seven platforms named Peec AI during ranking discovery: deepseek, google, grok, kimi, and openai. Its average listed rank was 5.6, with grok placing it second and openai placing it third [1].

The fit ratings were not unanimous. Grok rated Peec AI a strong fit, openai, google, anthropic, and perplexity rated it good, deepseek rated it mixed, and kimi rated it uncertain [3]. That spread matters: the two lowest ratings came from platforms that either could not retrieve the official site or could not confirm pricing and contract terms.

Peec AI's own product page describes visibility, position, sentiment, share of voice, competitor benchmarking, cited-source analysis, and prioritized content and citation actions [1]. Independent directories describe the same core capabilities, including brand mention monitoring and competitor benchmarking [4].

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Measurement and Strategy

Questions This Section Answers

  • Which Peec AI plan should a buyer choose for daily AI visibility tracking across multiple projects?
  • Does Peec AI's Starter plan include enough prompts and models for a competitive US brand?

The relevant product is the Peec AI AI Search Analytics platform, sold as tiered brand subscriptions (Starter, Pro, Advanced, Enterprise) plus separate agency plans [7]. For most measurement-and-strategy buyers, the decision comes down to Starter versus Pro versus Advanced, because those tiers set the prompt ceiling, project count, and reporting integrations.

Platform-reported plan structure, as described across sources:

PlanPromptsModelsProjectsNotable inclusions
Starter503 selected1Daily tracking, unlimited users
Pro1503 selected2Daily tracking, unlimited users
Advanced3503 selected5Multi-country support, Looker Studio integration
EnterpriseCustomCustomCustomSSO, API access, broader model coverage

These figures are platform-reported and appear consistently across openai, anthropic, grok, and google responses [9]. One independent review describes visible quotas of 50, 150, and 350 prompts with three chosen models and one, two, or five projects respectively [11].

Peec AI also maintains separate agency packaging. One official page snippet lists Essential, Growth, Scale, and custom agency plans [8], and grok-reported research describes agency tiers starting at $245/month [12]. The exact agency tier names and credit allocations are not consistent across sources and should be confirmed directly.

What the AI Platforms Agreed About

Questions This Section Answers

  • What does Peec AI do best for AI visibility measurement and strategy?
  • Does Peec AI track citations differently from brand mentions?

The clearest agreement was on citation tracking depth. Peec AI tracks citation rate separately from mention rate because some engines cite a domain without naming the brand [14]. It distinguishes "used" sources, meaning content that informed the answer, from "cited" sources, meaning URLs explicitly referenced [15]. Independent reviewers confirm URL-level analysis separating used from cited sources [16].

Platforms also agreed on competitor benchmarking. Peec AI provides side-by-side competitor comparisons for visibility, position, sentiment, and share of voice by engine [17], and independent reviews describe benchmarking against direct competitors and broader industry cohorts [18]. One review notes the platform shows the full AI answer with brand and competitors scored side by side [20].

Source-gap identification drew similar consensus. Peec AI's Actions module identifies domains and URLs that competitors are cited from but the buyer is not, scored by estimated impact [21]. The official documentation describes a Gap Analysis function showing sources where competitors appear but your brand does not [22]. Independent reviewers describe the Actions engine as turning citation gaps into a ranked list of next steps [23].

Daily tracking and unlimited users were also widely reported. Peec AI tracks mention rate, average position, citations, and sentiment for every prompt, updated daily [24], and unlimited users appear across all plans [25].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Peec AI's pricing reliable enough to budget from before signing a contract?
  • Does Peec AI have verified security certifications like SOC 2?

Pricing was the largest disagreement. The retrieved official pricing page confirmed Starter, Pro, Advanced, and Enterprise tiers but did not expose numerical prices [27]. A separate Peec AI-maintained reference lists Starter at $95/month, Pro at $245/month, Advanced at $495/month, and Enterprise as custom, which openai flagged as platform-reported and requiring confirmation [28]. Anthropic-reported sources list the same three figures [29], and google-reported research cites $95, $245, and $495 with annual equivalents of $80, $205, and $420 [32]. Perplexity reported materially different figures and tier names across sources, including euro-based annual discounts, and rated pricing confidence low [33]. Deepseek could not confirm any price and rated pricing confidence low [35].

Historical data drew a second disagreement. Multiple independent sources state Peec AI has no historical backfill and that tracking starts at signup [36]. One source reports that enterprise clients receive more frequent refresh cycles and deeper historical data retention, but exact retention windows are not published [39]. Kimi found no verifiable evidence of historical reporting at all [40].

API access was reported inconsistently. One source states Peec AI's API is available only on Enterprise plans and agency Scale or Comprehensive tiers, and that Starter, Pro, and Advanced users cannot programmatically access their data [41]. Peec AI's own site describes integration through a Google Looker Studio connector, REST API, or Model Context Protocol [43], without clearly stating which tiers include each.

Security and compliance were flagged as gaps. One independent review states Peec AI lacks formal SOC 2 certification but offers SSO login and a public API [44]. No supplied source documents HIPAA, SCIM, or public penetration test reports.

Prompt methodology was questioned. One independent review states the prompt methodology relies on AI-generated queries rather than real user prompts [45]. Peec AI's own documentation states its UI scraping simulates real user interactions so collected data matches what the average user sees [46], and an independent review agrees this reduces the accuracy gap that API-based monitoring inherits [47]. These two claims address different things and do not fully resolve the question of prompt realism.

Kimi's response diverges sharply from the rest. Kimi reported that the official website could not be retrieved, found no independent sources confirming the entity, and rated Peec AI uncertain, treating it as potentially unverified [40]. The deterministic identity audit notes that official-site retrieval failed for one or more mentions and that identity used an exact-name fallback with an unverified domain. This is a retrieval failure, not evidence that Peec AI does not exist, and it should be read alongside the six other platforms that retrieved and described the product.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Peec AI provide actionable GEO/AEO strategy or only dashboards?
  • Which AI engines does Peec AI monitor by default, and which cost extra?

Peec AI covers the core measurement criteria in this study, with one structural gap on execution.

Recommendation and citation tracking. Peec AI reports brand mentions, visibility, position, sentiment, share of voice, and most-cited sources for tracked prompts [48]. It tracks citation frequency, position, and sentiment with daily automated monitoring across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, and additional engines [49]. It separates used from cited sources at URL and domain level [51].

Competitor benchmarking. Side-by-side comparisons for visibility, position, sentiment, and share of voice by engine [48], plus identification of prompts where competitors are cited but the buyer is not [53].

Citation architecture and source-gap analysis. The Actions module identifies competitor-cited domains and URLs the buyer is missing, scored by estimated impact [55]. Gap Analysis filters by source type and competitive set [56], and Peec AI classifies sources as Editorial, Corporate, UGC, or Reference [57]. Citation analysis can be segmented by topic, prompt cluster, and competitive set [58]. One independent review notes the platform shows citation sources and identifies domain-level gaps but does not provide granular content gap analysis or recommend which specific content to create [59].

Historical reporting. Plans include daily tracking with trends and breakdowns by engine and prompt [48]. Public materials do not clearly specify maximum retention, and no historical backfill exists [61]. Rotating tracked prompts degrades historical continuity [63].

Actionable GEO/AEO strategy. Peec AI claims prioritized actions covering content gaps, citation opportunities, keywords, influential sources, and competitor content [48]. Independent reviewers describe recommendations pointing toward review site profiles, relevant discussions, or digital PR [65]. However, multiple independent sources state Peec AI stops at diagnosis and does not write content or implement technical optimizations [66], and that monitoring and execution are separate jobs [68]. Detecting a citation gap does not create the comparison page, improve a weak entity description, earn a third-party mention, or fix AI-bot access [69].

Platform coverage. Peec AI states it monitors ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, and Microsoft Copilot by default, with additional models and APIs depending on tier or upgrade terms [70]. Independent sources list ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, and Google AI Mode, with Deepseek, Grok, and Microsoft Copilot support varying by source and cost [49]. Base tiers restrict active tracking to three selected models, with additional engines as paid add-ons [72].

Reporting and integrations. Customizable dashboards with scheduled delivery, PDF exports, and white-label configurations for agencies [74], plus CSV exports, Looker Studio, and API access on higher tiers [75].

Data collection method. Peec AI uses UI scraping to simulate real browser sessions rather than relying on AI model APIs, which it claims captures the same responses users see [77]. An independent review confirms UI scraping and describes it as reducing the accuracy gap of API-based monitoring [79]. No independent audit, completeness rate, or collection SLA is published [81].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Peec AI cost per month, and are there setup or cancellation fees?
  • What extra fees should a buyer expect when adding AI models or countries to Peec AI?

Peec AI uses tiered subscription pricing based on tracked prompts and models, with separate brand and agency paths [82]. The official pricing page confirms the tier structure but did not expose numerical prices in the retrieved content [82].

Platform-reported prices, which require confirmation at purchase:

PlanReported monthly pricePromptsProjects
Starter$95501
Pro$2451502
Advanced$4953505
EnterpriseCustomCustomCustom

These figures appear in openai, anthropic, grok, and google responses [84]. Annual billing is reported at roughly a 15% discount, with annual equivalents around $80, $205, and $420 [87]. Perplexity reported conflicting figures and tier names across sources, including euro-denominated annual pricing, and rated pricing confidence low [89]. Deepseek could not confirm any price [91].

Additional fees reported across sources include extra AI engine models beyond the core three [87], expanded geographic coverage [93], additional projects beyond plan allocation, and API or MCP access limited to Enterprise and higher agency tiers [94]. Lower-tier plans have restrictive prompt quotas, and adding engines costs extra [92].

Contract and cancellation terms are not clearly published. Sources report monthly billing with annual discounts, a 7-day free trial, and the ability to adjust prompt and model limits at any time [87]. No supplied source establishes minimum contract duration, auto-renewal terms, cancellation notice, refunds, data-export rights at termination, or service-level commitments [82].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Peec AI for AI visibility measurement and strategy?
  • Is Peec AI a good fit for agencies managing multiple client brands?

Peec AI fits best where a team already has content, PR, and optimization capability and needs a specialized measurement layer to direct that work. The strongest fits reported across platforms:

  • In-house SEO, content, brand, and marketing teams beginning or scaling AI-search measurement [96].
  • Companies prioritizing citation and source-gap analysis and competitor benchmarking [97].
  • Teams needing daily historical monitoring across multiple AI-answer platforms [99].
  • Agencies and multi-project teams needing shared prompts, reporting, and client-oriented monitoring [96].
  • B2B SaaS companies measuring recommendation positioning and citation share of voice in AI-generated answers [101].
  • Marketing teams and SEO agencies tracking AI visibility across multiple brands and markets [102].

Unlimited users across all plans is a notable fit factor for agencies and collaborative teams [103]. White-label reporting and scheduled PDF delivery support client-facing agency workflows [100].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Peec AI for AI visibility measurement and strategy?
  • Is Peec AI suitable for enterprises that require SOC 2 or HIPAA compliance?

Peec AI is a weaker fit in several specific situations, and the platforms were largely consistent on these limits:

  • Buyers needing a full traditional SEO suite rather than an AI-search visibility specialist [105].
  • Organizations requiring independently audited measurement methodology or guaranteed platform coverage [105].
  • Teams needing extensive enterprise procurement, security, SSO, API, or custom-model requirements unless Enterprise terms are confirmed [105].
  • Companies seeking direct control over or guaranteed improvement in AI-engine rankings [105].
  • Teams seeking integrated content execution, gap analysis automation, or AI-powered content recommendations [108].
  • Enterprises requiring SOC 2 Type II compliance, HIPAA, or advanced security certifications [110].
  • Organizations needing historical backfill or baseline visibility data prior to onboarding [111].
  • Small teams or startups needing API access and custom integration without Enterprise tier pricing [113].
  • Buyers prioritizing very new or emerging AI platforms beyond ChatGPT, Perplexity, Gemini, and Claude [114].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Peec AI for a buyer who needs historical backfill or content execution?
  • When should a buyer choose a broader SEO platform or an enterprise AI-visibility vendor instead of Peec AI?

Several platforms named specific conditions where a different vendor or combination is the better call. These are platform-reported recommendations, not independently tested comparisons.

Choose a broader SEO platform when the buyer needs AI visibility combined with mature keyword, backlink, technical SEO, and web-analytics workflows in one system [115]. Choose an enterprise-focused AI-visibility vendor when procurement requires formal security documentation, contractual SLAs, extensive integrations, or independently documented measurement controls [115]. Use multiple tools when citation intelligence, traditional SEO, first-party referral analytics, and conversion attribution all need to be measured together [115].

Anthropic-reported research named specific alternatives by condition: Profound for enterprise compliance and agentic workflows, Otterly.ai or Promptmonitor for budget entry at around $29/month, Rankscale for a €20/month test start, WorkDuo for product-level insights and traffic attribution, and MaxAEO for integrated citation tracing and execution [116]. Kimi named Centium, Trakkr, SE Visible, Mentionlytics, GoVISIBLE, DeepSmith, and Meev as validated alternatives with documented recommendation tracking, competitor benchmarking, citation analysis, historical reporting, and transparent pricing [118].

Google-reported research suggested RadarKit AI or Writesonic GEO when deep content generation and automated action steps are required alongside basic visibility tracking, the Developer Marketing Hub for developer-first SaaS teams needing Reddit, DevRel, and product docs tracking, and Ahrefs Brand Radar when a brand prefers measuring visibility across a massive keyword set with existing backlink data rather than a curated manual prompt list [125].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Peec AI before signing a contract?
  • Can Peec AI demonstrate a buyer-specific report before purchase?

The platforms converged on a verification checklist. Confirm these directly with Peec AI before committing:

  • Exact models, search experiences, US locales, languages, and answer types included in Starter and Pro today [128].
  • Whether Google AI Overviews and AI Mode are measured through live production experiences, an API, sampled results, or another method [128].
  • How prompts are randomized, localized, deduplicated, and refreshed, and how answer volatility is handled [128].
  • How many months or years of historical data are retained, and whether raw answers, citations, URLs, and timestamps can be exported [128].
  • Whether source-gap analysis, URL-level citation architecture, competitor discovery, recommendations, API access, Looker Studio, SSO, and webhooks are included in the selected plan [128].
  • Exact additional-model, prompt-overage, onboarding, implementation, and support fees [128].
  • Whether plans are month-to-month, annually committed, or automatically renewing, and what the cancellation and refund rules are [128].
  • Security, privacy, data-processing, subprocessor, and retention terms for prompts, brand data, and uploaded catalogs [128].
  • Whether Peec AI can demonstrate a buyer-specific report showing citation gaps, competitor benchmarks, historical trends, and prioritized GEO/AEO actions before contracting [128].
  • The precise formula for calculating used versus cited source attribution and how the platform verifies whether content was used in answer generation [134].
  • The actual composition of tracked prompts: what percentage are real user queries versus AI-generated synthetic queries [135].
  • Whether contractual SLAs exist for daily tracking completion rate, collection consistency, or data availability uptime [136].

Final AI Consensus Verdict

Peec AI is a good fit for AI Visibility Platforms for Measurement and Strategy, with conditions. Five of seven platforms named it, four rated it good or strong, and the consensus strengths are consistent: daily cross-engine monitoring, citation tracking that separates used from cited sources, competitor benchmarking, source-gap identification scored by impact, and vendor-generated GEO/AEO actions [137].

The consensus limitations are equally consistent. Peec AI is a diagnostic layer, not an execution platform [140]. It has no historical backfill [142]. API access is reported as Enterprise-only [143]. SOC 2 Type II is reported as absent [144]. Pricing is platform-reported and inconsistent across sources [145].

Treat Peec AI as a measurement and prioritization layer, not a guaranteed ranking or revenue solution. Verify pricing, model coverage, retention, methodology, enterprise terms, and recommendation depth before purchase. For a broader view of how this vendor compares with other options evaluated for the same use case, see the AI Visibility Platforms for Measurement and Strategy consensus index.

Buyers who need a wider set of AI visibility and LLM monitoring options across categories can browse the ai visibility llm monitoring directory.

How This Review Was Produced

This review aggregates fit-research responses from seven AI platforms asked to recommend AI visibility solutions for a company needing measurement plus strategy across ChatGPT, Gemini, Claude, Perplexity, Grok, and other AI systems. The buyer criteria were recommendation and citation tracking, competitor benchmarking, citation architecture analysis, source-gap identification, historical reporting, and an actionable GEO/AEO strategy.

Five of the seven platforms named Peec AI during ranking discovery. Each platform's response was treated as platform-reported evidence, not independently verified fact. Company-owned sources are labeled as owned; directory and review sources are labeled independent or unclear. No personal testing, customer interviews, or independent verification was performed for this review.

Methodology Limitations

  • The authoritative run research date is 2026-09-19. Platform-reported research dates are provenance metadata and do not independently prove freshness. Deepseek reported a research date of 2026-01-15, roughly eight months earlier than the run date [147].
  • Platform mentions count only platforms that named the entity during ranking discovery. All seven platforms evaluated fit, but only five named Peec AI.
  • Official-site retrieval failed for one or more mentions. The deterministic identity audit notes that identity used an exact-name fallback and that the matching domain remains unverified. Kimi's uncertain rating reflects this retrieval failure rather than confirmed absence.
  • The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
  • Conflicting product names, pricing, and capabilities were not resolved by guessing. Where sources disagreed, the conflict is described and buyers are directed to verify.
  • Citations are platform-reported evidence, not independently verified facts. Claims from platforms without search enabled require explicit verification before being described as current facts.
  • No independent audit, completeness rate, or collection SLA for Peec AI's data accuracy is published in the supplied sources.
  • Peec AI's strategic recommendations are vendor-generated and were not validated against first-party analytics or customer outcomes in this research.

Sources

Company-Owned Sources

  • AI Visibility Platform | Centium: https://centium.ai/platform
  • AI Visibility Tracking | Centium: https://centium.ai/platform/visibility
  • AI Search Visibility Tracking & Analytics | DeepSmith: https://deepsmith.ai/platform/ai-visibility
  • Welcome to Peec AI - Peec.ai Docs: https://docs.peec.ai/intro-to-peec-ai
  • Understanding sources - Peec.ai Docs: https://docs.peec.ai/understanding-sources
  • GoVISIBLE | AI Visibility Platform: https://govisible.ai/
  • AI Visibility Tracker: Continuous Share-of-Answer Tracking | Meev: https://meev.ai/ai-visibility-tracker
  • Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/
  • Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/ai-instructions
  • AI Search Visibility Tracking for Marketing Agencies | Peec AI: https://peec.ai/for-agencies
  • Pricing for Peec AI - AI Search Analytics for Marketing teams and SEO agencies: https://peec.ai/pricing
  • Peec AI - AI Visibility and Share of Voice Tracking: https://peec.ai/product/ai-visibility
  • Trakkr | AI Visibility Platform for Brands & Agencies: https://trakkr.ai/
  • SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
  • AI Brand Visibility Tool - See What AI Says About You: https://www.mentionlytics.com/product/ai-visibility/
  • Additional AI research evidence147 records
    1. AI research evidence record openai:c1
    2. AI research evidence record grok:0
    3. AI research evidence record kimi:ranking_stage_note
    4. AI research evidence record anthropic:1-2
    5. AI research evidence record anthropic:1-3
    6. AI research evidence record anthropic:1-6
    7. AI research evidence record openai:c2
    8. AI research evidence record perplexity:c14
    9. AI research evidence record openai:c3
    10. AI research evidence record anthropic:9-7
    11. AI research evidence record anthropic:10-9
    12. AI research evidence record grok:2
    13. AI research evidence record google:cit_peec_pricing_company
    14. AI research evidence record anthropic:12-6
    15. AI research evidence record anthropic:15-7
    16. AI research evidence record anthropic:43-1
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:34-3
    19. AI research evidence record anthropic:34-4
    20. AI research evidence record anthropic:8-11
    21. AI research evidence record anthropic:43-3
    22. AI research evidence record anthropic:38-9
    23. AI research evidence record anthropic:11-2
    24. AI research evidence record anthropic:12-4
    25. AI research evidence record grok:3
    26. AI research evidence record google:cit_peec_review_workduo
    27. AI research evidence record openai:c3
    28. AI research evidence record openai:c2
    29. AI research evidence record anthropic:1-8
    30. AI research evidence record anthropic:8-1
    31. AI research evidence record anthropic:9-7
    32. AI research evidence record google:cit_peec_pricing_company
    33. AI research evidence record perplexity:c6
    34. AI research evidence record perplexity:c7
    35. AI research evidence record deepseek:c1
    36. AI research evidence record anthropic:29-2
    37. AI research evidence record anthropic:29-3
    38. AI research evidence record anthropic:29-4
    39. AI research evidence record anthropic:34-2
    40. AI research evidence record kimi:ranking_stage_note
    41. AI research evidence record anthropic:37-3
    42. AI research evidence record anthropic:37-4
    43. AI research evidence record anthropic:15-10
    44. AI research evidence record anthropic:21-1
    45. AI research evidence record anthropic:29-7
    46. AI research evidence record anthropic:31-5
    47. AI research evidence record anthropic:45-5
    48. AI research evidence record openai:c1
    49. AI research evidence record anthropic:1-19
    50. AI research evidence record anthropic:12-4
    51. AI research evidence record anthropic:15-7
    52. AI research evidence record anthropic:43-1
    53. AI research evidence record anthropic:1-6
    54. AI research evidence record anthropic:34-3
    55. AI research evidence record anthropic:43-3
    56. AI research evidence record anthropic:38-9
    57. AI research evidence record anthropic:38-12
    58. AI research evidence record anthropic:43-4
    59. AI research evidence record anthropic:1-2
    60. AI research evidence record openai:c3
    61. AI research evidence record anthropic:29-2
    62. AI research evidence record anthropic:29-3
    63. AI research evidence record anthropic:30-3
    64. AI research evidence record anthropic:30-4
    65. AI research evidence record anthropic:16-2
    66. AI research evidence record anthropic:5-6
    67. AI research evidence record anthropic:45-8
    68. AI research evidence record anthropic:35-2
    69. AI research evidence record anthropic:18-4
    70. AI research evidence record openai:c2
    71. AI research evidence record anthropic:9-15
    72. AI research evidence record grok:2
    73. AI research evidence record google:cit_peec_vis_dev_marketing
    74. AI research evidence record anthropic:34-5
    75. AI research evidence record anthropic:16-3
    76. AI research evidence record anthropic:15-10
    77. AI research evidence record anthropic:31-4
    78. AI research evidence record anthropic:31-5
    79. AI research evidence record anthropic:45-4
    80. AI research evidence record anthropic:45-5
    81. AI research evidence record anthropic:32-1
    82. AI research evidence record openai:c3
    83. AI research evidence record perplexity:c14
    84. AI research evidence record openai:c2
    85. AI research evidence record anthropic:1-8
    86. AI research evidence record anthropic:8-1
    87. AI research evidence record grok:2
    88. AI research evidence record google:cit_peec_pricing_company
    89. AI research evidence record perplexity:c6
    90. AI research evidence record perplexity:c7
    91. AI research evidence record deepseek:c1
    92. AI research evidence record anthropic:36-7
    93. AI research evidence record anthropic:34-2
    94. AI research evidence record anthropic:37-3
    95. AI research evidence record anthropic:37-4
    96. AI research evidence record openai:c2
    97. AI research evidence record openai:c1
    98. AI research evidence record anthropic:43-3
    99. AI research evidence record anthropic:12-4
    100. AI research evidence record anthropic:34-5
    101. AI research evidence record anthropic:1-2
    102. AI research evidence record anthropic:34-3
    103. AI research evidence record grok:3
    104. AI research evidence record google:cit_peec_review_workduo
    105. AI research evidence record openai:c2
    106. AI research evidence record anthropic:32-1
    107. AI research evidence record anthropic:37-3
    108. AI research evidence record anthropic:5-6
    109. AI research evidence record anthropic:45-8
    110. AI research evidence record anthropic:21-1
    111. AI research evidence record anthropic:29-2
    112. AI research evidence record anthropic:29-3
    113. AI research evidence record anthropic:37-4
    114. AI research evidence record anthropic:1-19
    115. AI research evidence record openai:c2
    116. AI research evidence record anthropic:5-1
    117. AI research evidence record anthropic:16-1
    118. AI research evidence record kimi:centium_visibility
    119. AI research evidence record kimi:trakkr_evidence
    120. AI research evidence record kimi:se_visible_tool
    121. AI research evidence record kimi:mentionlytics_product
    122. AI research evidence record kimi:govisible_platform
    123. AI research evidence record kimi:deepsmith_visibility
    124. AI research evidence record kimi:meev_tracker
    125. AI research evidence record google:cit_peec_review_writesonic
    126. AI research evidence record google:cit_peec_vis_dev_marketing
    127. AI research evidence record google:cit_peec_review_ahrefs
    128. AI research evidence record openai:c2
    129. AI research evidence record anthropic:34-2
    130. AI research evidence record anthropic:37-3
    131. AI research evidence record grok:2
    132. AI research evidence record perplexity:c6
    133. AI research evidence record anthropic:21-1
    134. AI research evidence record anthropic:15-7
    135. AI research evidence record anthropic:29-7
    136. AI research evidence record anthropic:32-1
    137. AI research evidence record openai:c1
    138. AI research evidence record anthropic:43-3
    139. AI research evidence record grok:0
    140. AI research evidence record anthropic:5-6
    141. AI research evidence record anthropic:45-8
    142. AI research evidence record anthropic:29-2
    143. AI research evidence record anthropic:37-3
    144. AI research evidence record anthropic:21-1
    145. AI research evidence record openai:c3
    146. AI research evidence record perplexity:c6
    147. AI research evidence record deepseek:c1

Independent Sources

  • Peec AI Review 2026: Features, Pricing & Verdict: https://aiagentsquare.com/agents/peec-ai
  • Peec AI alternatives for AI visibility monitoring in 2026: https://blog.hubspot.com/marketing/peec-ai-alternatives
  • Peec AI Review & Pricing Comparison: Evaluate Peec AI Against Profound, Scrunch AI, and Competeting AEO Tools - Cairrot: https://cairrot.com/alternatives/peec-ai-review-pricing-comparison-alternatives/
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  • Peec AI review: citation tracking for competitive intelligence and content optimisation | Discovered Labs: https://discoveredlabs.com/blog/peec-ai-review-citation-tracking
  • Peec AI Review (2026): The Best-Value AI Visibility Tracker?: https://dupple.com/learn/peec-ai-review
  • Peec AI Review 2026: Pricing & Engine Limits: https://geoptie.com/blog/peec-ai-review
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  • Understanding Peec AI Pricing: A Complete Overview: https://indexly.ai/blog/peec-ai-pricing/
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  • Profound vs PEEC AI: The Ultimate GEO Platform Battle for 2026: https://nicklafferty.com/blog/profound-vs-peec-ai/
  • Peec AI Review 2026: Pricing & Verdict | OrganiKPI: https://organikpi.com/blog/geo-ai-search/peec-ai-review/
  • Peec AI Review: Evaluating AI Search Visibility Tracking for Enterprise Brands: https://rankdots.com/blog/peec-ai
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  • Peec data accuracy, collection method and history | Trakkr: https://trakkr.ai/reviews/peec-review/data-accuracy
  • Peec AI review 2026: pricing, features, and is it worth it?: https://visible.seranking.com/blog/peec-ai-review/
  • Peec AI Review 2026 — AI Search Visibility Analytics | AI Marketers Pro: https://www.aimarketers.pro/guides/peec-ai-review
  • Peec AI Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10030058/Peec-AI/
  • Peec AI Review: Is the Features & Price Worth It in 2026?: https://www.workduo.ai/blog/peec-ai-review
  • AI visibility Tools Review : Peec AI v/s Developer Marketing Hub: https://www.youtube.com/watch?v=1EIZC_UQfrE
  • Peec.ai Review & Tutorial 2026 — Full Beginner's Guide: https://www.youtube.com/watch?v=1O0U0oemB84
  • Additional AI research evidence147 records
    1. AI research evidence record openai:c1
    2. AI research evidence record grok:0
    3. AI research evidence record kimi:ranking_stage_note
    4. AI research evidence record anthropic:1-2
    5. AI research evidence record anthropic:1-3
    6. AI research evidence record anthropic:1-6
    7. AI research evidence record openai:c2
    8. AI research evidence record perplexity:c14
    9. AI research evidence record openai:c3
    10. AI research evidence record anthropic:9-7
    11. AI research evidence record anthropic:10-9
    12. AI research evidence record grok:2
    13. AI research evidence record google:cit_peec_pricing_company
    14. AI research evidence record anthropic:12-6
    15. AI research evidence record anthropic:15-7
    16. AI research evidence record anthropic:43-1
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:34-3
    19. AI research evidence record anthropic:34-4
    20. AI research evidence record anthropic:8-11
    21. AI research evidence record anthropic:43-3
    22. AI research evidence record anthropic:38-9
    23. AI research evidence record anthropic:11-2
    24. AI research evidence record anthropic:12-4
    25. AI research evidence record grok:3
    26. AI research evidence record google:cit_peec_review_workduo
    27. AI research evidence record openai:c3
    28. AI research evidence record openai:c2
    29. AI research evidence record anthropic:1-8
    30. AI research evidence record anthropic:8-1
    31. AI research evidence record anthropic:9-7
    32. AI research evidence record google:cit_peec_pricing_company
    33. AI research evidence record perplexity:c6
    34. AI research evidence record perplexity:c7
    35. AI research evidence record deepseek:c1
    36. AI research evidence record anthropic:29-2
    37. AI research evidence record anthropic:29-3
    38. AI research evidence record anthropic:29-4
    39. AI research evidence record anthropic:34-2
    40. AI research evidence record kimi:ranking_stage_note
    41. AI research evidence record anthropic:37-3
    42. AI research evidence record anthropic:37-4
    43. AI research evidence record anthropic:15-10
    44. AI research evidence record anthropic:21-1
    45. AI research evidence record anthropic:29-7
    46. AI research evidence record anthropic:31-5
    47. AI research evidence record anthropic:45-5
    48. AI research evidence record openai:c1
    49. AI research evidence record anthropic:1-19
    50. AI research evidence record anthropic:12-4
    51. AI research evidence record anthropic:15-7
    52. AI research evidence record anthropic:43-1
    53. AI research evidence record anthropic:1-6
    54. AI research evidence record anthropic:34-3
    55. AI research evidence record anthropic:43-3
    56. AI research evidence record anthropic:38-9
    57. AI research evidence record anthropic:38-12
    58. AI research evidence record anthropic:43-4
    59. AI research evidence record anthropic:1-2
    60. AI research evidence record openai:c3
    61. AI research evidence record anthropic:29-2
    62. AI research evidence record anthropic:29-3
    63. AI research evidence record anthropic:30-3
    64. AI research evidence record anthropic:30-4
    65. AI research evidence record anthropic:16-2
    66. AI research evidence record anthropic:5-6
    67. AI research evidence record anthropic:45-8
    68. AI research evidence record anthropic:35-2
    69. AI research evidence record anthropic:18-4
    70. AI research evidence record openai:c2
    71. AI research evidence record anthropic:9-15
    72. AI research evidence record grok:2
    73. AI research evidence record google:cit_peec_vis_dev_marketing
    74. AI research evidence record anthropic:34-5
    75. AI research evidence record anthropic:16-3
    76. AI research evidence record anthropic:15-10
    77. AI research evidence record anthropic:31-4
    78. AI research evidence record anthropic:31-5
    79. AI research evidence record anthropic:45-4
    80. AI research evidence record anthropic:45-5
    81. AI research evidence record anthropic:32-1
    82. AI research evidence record openai:c3
    83. AI research evidence record perplexity:c14
    84. AI research evidence record openai:c2
    85. AI research evidence record anthropic:1-8
    86. AI research evidence record anthropic:8-1
    87. AI research evidence record grok:2
    88. AI research evidence record google:cit_peec_pricing_company
    89. AI research evidence record perplexity:c6
    90. AI research evidence record perplexity:c7
    91. AI research evidence record deepseek:c1
    92. AI research evidence record anthropic:36-7
    93. AI research evidence record anthropic:34-2
    94. AI research evidence record anthropic:37-3
    95. AI research evidence record anthropic:37-4
    96. AI research evidence record openai:c2
    97. AI research evidence record openai:c1
    98. AI research evidence record anthropic:43-3
    99. AI research evidence record anthropic:12-4
    100. AI research evidence record anthropic:34-5
    101. AI research evidence record anthropic:1-2
    102. AI research evidence record anthropic:34-3
    103. AI research evidence record grok:3
    104. AI research evidence record google:cit_peec_review_workduo
    105. AI research evidence record openai:c2
    106. AI research evidence record anthropic:32-1
    107. AI research evidence record anthropic:37-3
    108. AI research evidence record anthropic:5-6
    109. AI research evidence record anthropic:45-8
    110. AI research evidence record anthropic:21-1
    111. AI research evidence record anthropic:29-2
    112. AI research evidence record anthropic:29-3
    113. AI research evidence record anthropic:37-4
    114. AI research evidence record anthropic:1-19
    115. AI research evidence record openai:c2
    116. AI research evidence record anthropic:5-1
    117. AI research evidence record anthropic:16-1
    118. AI research evidence record kimi:centium_visibility
    119. AI research evidence record kimi:trakkr_evidence
    120. AI research evidence record kimi:se_visible_tool
    121. AI research evidence record kimi:mentionlytics_product
    122. AI research evidence record kimi:govisible_platform
    123. AI research evidence record kimi:deepsmith_visibility
    124. AI research evidence record kimi:meev_tracker
    125. AI research evidence record google:cit_peec_review_writesonic
    126. AI research evidence record google:cit_peec_vis_dev_marketing
    127. AI research evidence record google:cit_peec_review_ahrefs
    128. AI research evidence record openai:c2
    129. AI research evidence record anthropic:34-2
    130. AI research evidence record anthropic:37-3
    131. AI research evidence record grok:2
    132. AI research evidence record perplexity:c6
    133. AI research evidence record anthropic:21-1
    134. AI research evidence record anthropic:15-7
    135. AI research evidence record anthropic:29-7
    136. AI research evidence record anthropic:32-1
    137. AI research evidence record openai:c1
    138. AI research evidence record anthropic:43-3
    139. AI research evidence record grok:0
    140. AI research evidence record anthropic:5-6
    141. AI research evidence record anthropic:45-8
    142. AI research evidence record anthropic:29-2
    143. AI research evidence record anthropic:37-3
    144. AI research evidence record anthropic:21-1
    145. AI research evidence record openai:c3
    146. AI research evidence record perplexity:c6
    147. AI research evidence record deepseek:c1

Other Sources

  • Peec AI Pricing, Reviews & Features: https://www.capterra.ca/software/1076642/Peec-AI
  • Peec AI vs Profound: Pricing, Features & Limits 2026: https://www.tryanalyze.ai/blog/peec-ai-vs-profound
  • Additional AI research evidence147 records
    1. AI research evidence record openai:c1
    2. AI research evidence record grok:0
    3. AI research evidence record kimi:ranking_stage_note
    4. AI research evidence record anthropic:1-2
    5. AI research evidence record anthropic:1-3
    6. AI research evidence record anthropic:1-6
    7. AI research evidence record openai:c2
    8. AI research evidence record perplexity:c14
    9. AI research evidence record openai:c3
    10. AI research evidence record anthropic:9-7
    11. AI research evidence record anthropic:10-9
    12. AI research evidence record grok:2
    13. AI research evidence record google:cit_peec_pricing_company
    14. AI research evidence record anthropic:12-6
    15. AI research evidence record anthropic:15-7
    16. AI research evidence record anthropic:43-1
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:34-3
    19. AI research evidence record anthropic:34-4
    20. AI research evidence record anthropic:8-11
    21. AI research evidence record anthropic:43-3
    22. AI research evidence record anthropic:38-9
    23. AI research evidence record anthropic:11-2
    24. AI research evidence record anthropic:12-4
    25. AI research evidence record grok:3
    26. AI research evidence record google:cit_peec_review_workduo
    27. AI research evidence record openai:c3
    28. AI research evidence record openai:c2
    29. AI research evidence record anthropic:1-8
    30. AI research evidence record anthropic:8-1
    31. AI research evidence record anthropic:9-7
    32. AI research evidence record google:cit_peec_pricing_company
    33. AI research evidence record perplexity:c6
    34. AI research evidence record perplexity:c7
    35. AI research evidence record deepseek:c1
    36. AI research evidence record anthropic:29-2
    37. AI research evidence record anthropic:29-3
    38. AI research evidence record anthropic:29-4
    39. AI research evidence record anthropic:34-2
    40. AI research evidence record kimi:ranking_stage_note
    41. AI research evidence record anthropic:37-3
    42. AI research evidence record anthropic:37-4
    43. AI research evidence record anthropic:15-10
    44. AI research evidence record anthropic:21-1
    45. AI research evidence record anthropic:29-7
    46. AI research evidence record anthropic:31-5
    47. AI research evidence record anthropic:45-5
    48. AI research evidence record openai:c1
    49. AI research evidence record anthropic:1-19
    50. AI research evidence record anthropic:12-4
    51. AI research evidence record anthropic:15-7
    52. AI research evidence record anthropic:43-1
    53. AI research evidence record anthropic:1-6
    54. AI research evidence record anthropic:34-3
    55. AI research evidence record anthropic:43-3
    56. AI research evidence record anthropic:38-9
    57. AI research evidence record anthropic:38-12
    58. AI research evidence record anthropic:43-4
    59. AI research evidence record anthropic:1-2
    60. AI research evidence record openai:c3
    61. AI research evidence record anthropic:29-2
    62. AI research evidence record anthropic:29-3
    63. AI research evidence record anthropic:30-3
    64. AI research evidence record anthropic:30-4
    65. AI research evidence record anthropic:16-2
    66. AI research evidence record anthropic:5-6
    67. AI research evidence record anthropic:45-8
    68. AI research evidence record anthropic:35-2
    69. AI research evidence record anthropic:18-4
    70. AI research evidence record openai:c2
    71. AI research evidence record anthropic:9-15
    72. AI research evidence record grok:2
    73. AI research evidence record google:cit_peec_vis_dev_marketing
    74. AI research evidence record anthropic:34-5
    75. AI research evidence record anthropic:16-3
    76. AI research evidence record anthropic:15-10
    77. AI research evidence record anthropic:31-4
    78. AI research evidence record anthropic:31-5
    79. AI research evidence record anthropic:45-4
    80. AI research evidence record anthropic:45-5
    81. AI research evidence record anthropic:32-1
    82. AI research evidence record openai:c3
    83. AI research evidence record perplexity:c14
    84. AI research evidence record openai:c2
    85. AI research evidence record anthropic:1-8
    86. AI research evidence record anthropic:8-1
    87. AI research evidence record grok:2
    88. AI research evidence record google:cit_peec_pricing_company
    89. AI research evidence record perplexity:c6
    90. AI research evidence record perplexity:c7
    91. AI research evidence record deepseek:c1
    92. AI research evidence record anthropic:36-7
    93. AI research evidence record anthropic:34-2
    94. AI research evidence record anthropic:37-3
    95. AI research evidence record anthropic:37-4
    96. AI research evidence record openai:c2
    97. AI research evidence record openai:c1
    98. AI research evidence record anthropic:43-3
    99. AI research evidence record anthropic:12-4
    100. AI research evidence record anthropic:34-5
    101. AI research evidence record anthropic:1-2
    102. AI research evidence record anthropic:34-3
    103. AI research evidence record grok:3
    104. AI research evidence record google:cit_peec_review_workduo
    105. AI research evidence record openai:c2
    106. AI research evidence record anthropic:32-1
    107. AI research evidence record anthropic:37-3
    108. AI research evidence record anthropic:5-6
    109. AI research evidence record anthropic:45-8
    110. AI research evidence record anthropic:21-1
    111. AI research evidence record anthropic:29-2
    112. AI research evidence record anthropic:29-3
    113. AI research evidence record anthropic:37-4
    114. AI research evidence record anthropic:1-19
    115. AI research evidence record openai:c2
    116. AI research evidence record anthropic:5-1
    117. AI research evidence record anthropic:16-1
    118. AI research evidence record kimi:centium_visibility
    119. AI research evidence record kimi:trakkr_evidence
    120. AI research evidence record kimi:se_visible_tool
    121. AI research evidence record kimi:mentionlytics_product
    122. AI research evidence record kimi:govisible_platform
    123. AI research evidence record kimi:deepsmith_visibility
    124. AI research evidence record kimi:meev_tracker
    125. AI research evidence record google:cit_peec_review_writesonic
    126. AI research evidence record google:cit_peec_vis_dev_marketing
    127. AI research evidence record google:cit_peec_review_ahrefs
    128. AI research evidence record openai:c2
    129. AI research evidence record anthropic:34-2
    130. AI research evidence record anthropic:37-3
    131. AI research evidence record grok:2
    132. AI research evidence record perplexity:c6
    133. AI research evidence record anthropic:21-1
    134. AI research evidence record anthropic:15-7
    135. AI research evidence record anthropic:29-7
    136. AI research evidence record anthropic:32-1
    137. AI research evidence record openai:c1
    138. AI research evidence record anthropic:43-3
    139. AI research evidence record grok:0
    140. AI research evidence record anthropic:5-6
    141. AI research evidence record anthropic:45-8
    142. AI research evidence record anthropic:29-2
    143. AI research evidence record anthropic:37-3
    144. AI research evidence record anthropic:21-1
    145. AI research evidence record openai:c3
    146. AI research evidence record perplexity:c6
    147. AI research evidence record deepseek:c1

Verify this research

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

Study date
September 19, 2026
Platforms analyzed
7
Source records
43
Ranking mentions
5 of 7
Platform share
71%
Final consensus rank
#3

Research trail and source mix

Configured platforms

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

Source mix

26 independent · 15 company-owned · 2 unclear

Evidence support

40 direct · 3 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 4976e69835ba5ec15c6a57ba83f9b7353f28b5946215b324754b577710493bc3