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AI Consensus Fit Review

Peec AI AI Citation Solution Fit Review for Competitive Citation Analysis

Peec AI is a good fit for competitive citation analysis, with caveats.

Research: 2026-09-176 usable platform responsesRead the methodology ↗

Answer Capsule

Peec AI is a good fit for competitive citation analysis, with caveats. All six platforms that named it in the ranking stage included it, and it finished first overall with an average listed rank of 4.33 and a best rank of 1. Its strongest asset is citation-source analysis: it reports which domains and URLs AI engines cite, segments sources by type, and surfaces competitor citation gaps with opportunity scoring. The main limitation is that Peec AI is monitoring-only. It does not execute content changes, and it does not attribute citations to traffic, leads, or revenue. Pricing is inconsistent across public sources, and one platform could not verify the product at all.

Research Snapshot

FieldFinding
Platform mentions in ranking stage6 of 6 included platforms named Peec AI (platform_share 1.0)
Share of included platform responses100%
Average listed rank4.33
Best listed rank1 (grok)
Relevant product/model/planPeec AI AI-search visibility monitoring platform; Starter plan for initial competitive citation analysis
Overall use-case fitGood, with material verification gaps
Research date2026-09-17

Ranks by platform: grok 1, anthropic 2, deepseek 4, perplexity 4, openai 6, kimi 9. Fit ratings split as strong (grok), good (anthropic, openai, perplexity), mixed (deepseek), and uncertain (kimi).

Why Peec AI Qualified for This Study

Questions This Section Answers

  • Is Peec AI a good choice for AI Citation Solutions for Competitive Citation Analysis?
  • How many AI platforms named Peec AI during the ranking stage for competitive citation analysis?

Peec AI qualified because every included platform named it during ranking discovery, and it placed first in the final ranking. That is a consensus signal about relevance to the use case, not proof of product quality.

The platform's own positioning supports the match. Peec AI describes competitor benchmarking, source and citation analysis, source classification, Gap Analysis, and query fanouts as published product capabilities [1]. It also publishes positioning around prioritized actions for content gaps and citation opportunities [2].

Independent reviews describe the same core: brand tracking across engines with visibility share, ranking position, and sentiment for chosen prompts, plus citation analysis showing the exact sources an engine pulled, sorted into editorial, corporate, and user-generated types [3]. One review describes citation gaps surfaced as prioritized lists filterable by prompt category and competitor [4].

The company is also a real, funded entity rather than a listing artifact. Peec AI was founded in January 2025 by Marius Meiners, Daniel Drabo, and Tobias Siwonia, backed by Singular, 20VC, and Antler, with leadership including former enterprise SEO leaders [5].

One qualification matters. The deterministic identity audit flagged conflicting official domains and required an exact-name fallback before peec.ai was recovered by web search. Buyers should verify the contracting legal entity and billing domain directly.

The Product, Model, Plan, or Service Most Relevant to AI Citation Solutions for Competitive Citation Analysis

Questions This Section Answers

  • Which Peec AI plan should a buyer choose to start competitive citation analysis?
  • Does Peec AI's Starter plan include citation analysis and competitor benchmarking?

The relevant offering is the Peec AI AI-search visibility monitoring platform, with the Starter plan as the entry point for initial competitive citation analysis. Platforms named several variants, including "AI visibility monitoring solution," "Peec AI Competitive Gap Analysis Platform," and "Peec AI visibility analytics platform."

Starter is the plan most platforms pointed to. According to the official pricing page, Starter covers 50 prompts, 3 selected models, 1 project, daily tracking, and unlimited users [6]. Higher usage generally requires Pro, Advanced, or Enterprise pricing [6].

Citation analysis is not gated to top tiers. One independent review states that citation analysis is available on all paid plans, tracking citations across ChatGPT, Perplexity, and Google AI Overviews, with additional engines such as Claude, Gemini, DeepSeek, Grok, Copilot, and AI Mode sold as paid add-ons [7]. Another review reports all engines included in plans rather than sold as add-ons [8]. Those two claims conflict, and the conflict is not resolved in the supplied evidence.

The core workflow for this use case is: track prompts, see which domains and URLs each engine cites, compare against named competitors on the same prompts, and review gap lists ranked by opportunity. Peec AI's published Gap Analysis identifies sources where competitors are cited but the tracked brand is not, with ranking intended to prioritize opportunities [9].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Peec AI does well for competitive citation analysis?
  • Does Peec AI track cited domains and URLs at the source level?

Agreement was strong on citation-source tracking, competitor benchmarking, and daily monitoring. Five of six platforms described these as advantages; kimi could not verify any capability.

On citation tracking, platforms converged. Peec AI reports which domains and URLs AI engines access or cite and provides competitor-oriented source and citation analysis [10]. It tracks domains retrieved, retrieval rate, and citation rate at domain and URL level, and distinguishes used versus cited citations [11]. It surfaces specific domains and URLs that AI platforms cite when answering questions [13].

On competitor benchmarking, platforms agreed the platform compares brand visibility and share of voice against competitors on the same tracked prompts, with competitors suggested from repeated co-mentions or added manually [10]. Dashboards show competitor logos alongside brand data for win/loss visualization [14].

On source classification, Peec AI sorts sources into editorial, corporate, UGC, reference, and owned-website categories [10]. Independent reviews describe the same segmentation by editorial, corporate, and user-generated content types [15].

On cadence, the platform executes each tracked prompt once every 24 hours on every selected model [16]. One independent review reports UI scraping that simulates real browser sessions, capturing the same responses users see [14].

On prioritization, Peec AI states it generates prioritized actions from content gaps and citation opportunities ranked by potential impact [17]. An independent review describes an Actions feature clustering citation data into Owned Media and Earned Media with opportunity scores of Low, Medium, or High based on citation frequency and competitive gaps [13].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Peec AI's engine coverage three models or six, and does that change the cost?
  • How reliable is Peec AI's citation data if no independent accuracy audit exists?

Disagreement was concentrated in four areas: engine coverage, pricing, execution depth, and verification.

Engine coverage. One group of sources says base plans include three selectable models with extras sold as add-ons. The official pricing page states three selected models on Starter [18]. One independent review reports three active AI models per plan with extra models at +$30/month (Starter), +$70/month (Pro), and +$140/month (Advanced) [19]. Another reports additional engines at €25/month (Starter), €55/month (Pro), and €115/month (Advanced) [20]. A third reports €20–30/month per engine [21]. A competing group says all engines are included: one review states Peec AI tracks ChatGPT, Gemini, Claude, Perplexity, Google AI Mode, and Microsoft Copilot with all engines included rather than sold as add-ons [22]. Another says base plans include six engines [23]. The most recent official pricing page states three engines per self-serve plan with add-ons available [24]. This is unresolved and directly affects cost.

Pricing. Starter is reported at $95/month by multiple sources [23]. One independent review reports $89 [29]. The official pricing page retrieved for this assessment displayed plan features without a visible price [18]. An official comparison page previously displayed $85 [30]. EUR pricing is reported at €70–€360/month on annual billing and roughly €82–€420 on monthly billing, with a note that this replaced an earlier €89/€199/€499 structure verified August 28, 2026 [20]. One review lists Pro at $245 and Advanced at $495 [25]; another lists Pro at €180 and Advanced at €360 on annual billing [20]. Currency and tier naming do not reconcile cleanly.

Execution depth. Platforms agreed Peec AI is monitoring-first, but framed the consequence differently. One review states Peec AI is strong for measuring visibility rather than improving it, and that buyers whose job extends past measurement should weigh alternatives [31]. Another describes Peec as a strong specialist platform whose main limitation is that monitoring and execution are different jobs [32]. A third describes Peec as monitoring-first, focused on analytics rather than content creation or optimization workflows [33].

Verification. Kimi could not retrieve the official website and rated fit uncertain, finding no independent or company-provided documentation of competitor citation architecture mapping, source overlap measurement, or missing authority source identification [34]. Deepseek rated fit mixed, noting that no independent third-party evidence on Peec AI's citation-analysis capabilities was located and that all capability claims trace to the company's own site [35]. Deepseek's research date was 2026-06-30, earlier than the other platforms.

Attribution. One independent review states Peec AI does not offer built-in end-to-end AI referral attribution linking mentions to visits or leads, and is a monitoring and analytics tool rather than a traffic or ROI attribution platform [36]. No supplied source contradicts this.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Peec AI measure source overlap and identify missing authority sources for competitors?
  • Can Peec AI export citation data for competitive analysis?

Cited domain and URL comparison. Peec AI reports which domains and URLs AI engines access or cite, with competitor-oriented source and citation analysis [37]. It tracks domains retrieved, retrieval rate, and citation rate at domain and URL level, distinguishing used versus cited citations [38].

Repeated supporting sources. Source classification into editorial, corporate, UGC, reference, and owned-website categories supports analysis of which source types repeatedly support competitors [37]. Independent reviews describe the same segmentation [40].

Competitor citation architecture. Gap Analysis identifies sources where competitors are cited but the tracked brand is not, ranked to prioritize opportunities [37]. Citation gaps appear as prioritized lists filterable by prompt category and competitor [41]. One review notes gap analysis shows citation rates vary by content structure, not domain authority alone [41].

Source overlap. This is the weakest-verified criterion. No supplied source documents a dedicated source-overlap metric. Deepseek explicitly found no public documentation confirming dedicated source-overlap scoring or missing-authority-source gap reports against competitors [42]. Kimi reached the same conclusion [43]. Treat overlap analysis as something to verify in a trial.

Missing authority sources. Gap Analysis is the closest documented feature, identifying sources where competitors are cited and the brand is not [37]. Whether this constitutes a formal "missing authority source" report is not established.

Prioritization. Peec AI states it generates prioritized actions from content gaps and citation opportunities ranked by potential impact [44]. The Actions feature clusters citation data into Owned Media and Earned Media with Low, Medium, or High opportunity scores [45]. One review notes the Actions feature was cited as beta in July–August 2026 reviews, with general availability unclear [45].

Reporting and exports. Outputs include CSV exports, a Looker Studio connector, API access on higher tiers, and Model Context Protocol integration for Claude and n8n [46]. Multi-brand dashboards support agency client-facing reporting [48].

Multi-language and multi-country. Citation tracking across multiple languages and countries is supported on all plans at no extra cost [49].

Technical blind spots. Peec AI's published guidance states that AI models only see HTML content and may not access pages behind paywalls or dependent on JavaScript, so citation analysis can omit otherwise relevant sources [37].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Peec AI cost per month for competitive citation analysis, and is the Starter price $85, $89, or $95?
  • Are there add-on fees for extra AI engines beyond the three included models?

Pricing is the least reliable part of the public record. Multiple figures appear for the same plan, and the official pricing page retrieved for this assessment did not visibly show a price [50].

Source typeStarterProAdvancedNotes
Official pricing pageNot visibly displayedNot displayedNot displayed50 prompts, 3 models, 1 project, daily tracking, unlimited users
Official comparison page$85 (historical)——Contributes to inconsistency
Independent reviews$95/month$245/month$495/month50/150/350 prompts, 3 models
Independent review$89/month——
Independent review (EUR)€70 annual / ~€82 monthly€180 annual / ~€212 monthly€360 annual / ~€420 monthlyReplaced earlier €89/€199/€499 structure, verified August 28, 2026
Agency plans———Agency Essential €245, Growth €495, Scale €795 per month

Add-on fees. Extra AI engines are reported at €25/month (Starter), €55/month (Pro), and €115/month (Advanced) [51]. Another source reports +$30/month (Starter), +$70/month (Pro), and +$140/month (Advanced) per additional model [52]. A third reports €20–30/month [53]. These do not reconcile.

Discounts and billing. Annual billing receives a 15% discount according to the official pricing page [50]. One independent review states annual billing is approximately 15% off [54].

Contract terms. Self-serve plans support month-to-month and annual billing, with a 7-day free trial [52]. No published lock-in or early termination penalties were found, but cancellation, refund, renewal, data-retention, and export terms were not verified from the reviewed sources [50]. One platform notes public sources do not clearly state minimum term, auto-renewal, cancellation timing, or refund policy [55].

Enterprise. Enterprise pricing is custom and not published [56].

Unlimited users. All plans include unlimited user seats [57].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Peec AI for competitive citation analysis?
  • Is Peec AI worth it for agencies managing multiple brands?

Peec AI fits marketing, SEO, GEO, and content teams comparing their brand with named competitors across tracked AI-search prompts [58]. It fits buyers prioritizing competitor citation gaps and repeatable source-opportunity workflows [58].

It fits organizations wanting daily monitoring rather than a one-time citation audit [60]. It fits agencies managing multi-brand AI visibility monitoring with client-facing reporting, since multi-brand dashboards and unlimited seats reduce per-client friction [61].

It fits brands with existing content execution capabilities that can act on citation opportunity data independently [63]. It fits teams that want clean, focused AI search monitoring over integrated content creation or technical optimization [65].

It fits teams needing multi-language and multi-country citation tracking without extra fees [66].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Peec AI for competitive citation analysis?
  • Is Peec AI suitable for buyers who need citation-to-revenue attribution?

Peec AI is probably not the best choice for buyers needing an independently validated, exhaustive index of every AI citation across all generative-answer and recommendation systems [67]. No supplied source provides a controlled validation of Peec AI's citation completeness or ranking accuracy [68].

It is not suited to teams requiring strong proof that a citation caused traffic, leads, revenue, or recommendation conversion. One independent review confirms Peec AI does not offer built-in end-to-end AI referral attribution [69].

It is not suited to organizations expecting built-in content execution, technical SEO recommendations, or automated optimization workflows [70].

It is not suited to buyers needing enterprise-grade infrastructure, SOC 2 compliance, or white-glove onboarding at startup pricing [73]. It is not suited to companies seeking a single platform combining AI visibility monitoring with traditional SEO suite features such as site audits and crawl analysis [74].

It is not suited to very new websites or content-light brands with limited content assets to optimize based on citation insights [75].

It is not suited to buyers who need published, self-serve pricing before evaluation, given the pricing inconsistencies documented above [76].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Peec AI for a buyer who needs content execution alongside citation monitoring?
  • Which Peec AI alternative is better for a buyer who needs citation-to-traffic attribution?

Choose a more enterprise-oriented platform when the buyer needs larger-scale prompt coverage, deeper historical data, extensive integrations, or contractual service commitments [77]. Profound and AthenaHQ are named as enterprise-grade alternatives with published compliance and infrastructure standards [78].

Choose an execution-layer platform when the buyer needs built-in content creation, technical SEO recommendations, or automated workflow execution. LovedByAI, MaxAEO, and Profound are named as offering execution layers alongside monitoring [78]. Omnia is described as adding an action layer that Peec lacks, turning citation data into executable content briefs, publisher outreach lists, and technical recommendations [78].

Choose an attribution platform when the buyer needs to connect AI visibility to website traffic or pipeline conversion. WorkDuo and AthenaHQ are named as offering traffic attribution and recommendation workflows not found in Peec's monitoring-only model [78].

Choose a specialized research or audit workflow when the buyer needs a one-time exhaustive comparison of citation URLs across a narrowly controlled prompt set [77].

Choose a lower-frequency option when weekly or on-demand tracking suffices. LLM Pulse and other alternatives offer lower-frequency plans at lower price points for slower-moving competitive landscapes [78].

Choose a traditional SEO suite when the buyer needs site audit, crawl, and technical recommendations alongside AI visibility. Semrush, Ahrefs, and Screaming Frog bundle AEO monitoring with those features [78]. Ahrefs Brand Radar monitors 243M+ real search queries across six engines without per-engine add-on costs, though citation analysis depth differs from Peec [78].

Choose a dedicated citation-graph tool when the buyer needs exact cited URLs per competitor and computed source overlap as a primary workflow [79]. Named alternatives include Cited at $79–$499/month with 3–8 competitors tracked [80], Web Cited at $49–$99/month with 2–4 competitors and 95% confidence intervals [81], Citingly at $49/month entry with citation forensics [82], and CiteMe with rival audits on the same prompts [83].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Peec AI before signing a contract for competitive citation analysis?
  • Does Peec AI expose every cited URL and source-overlap calculation in exportable form?

Confirm the current Starter price in US dollars and whether the 15% annual discount applies to Starter [84]. Confirm which exact AI platforms and models are included in Starter, and whether Google AI Overviews, ChatGPT, Claude, Gemini, Perplexity, and recommendation or shopping surfaces are included [84].

Confirm whether the product exposes every cited URL, source-overlap calculation, repeated-source frequency, competitor citation architecture, and downloadable raw data [86]. Confirm how citations are distinguished from URLs merely retrieved or used internally by an AI system [88].

Confirm prompt, model, project, country, historical-retention, API, export, and refresh-rate limits [84]. Confirm whether competitor lists, aliases, regions, languages, and prompt sets can be customized [86].

Confirm cancellation, renewal, refund, data-retention, and data-export terms [84]. Confirm what evidence supports the Gap Score or potential-impact prioritization [91].

Confirm whether the Actions feature is generally available or still in beta [92]. Confirm whether Peec AI can connect citation visibility to first-party analytics, CRM, or conversion data [93].

Confirm the data collection methodology, including whether it relies solely on UI scraping, whether any official APIs are used, and how rate limiting or response variance is handled [94]. Confirm whether SOC 2 certification, data residency, or GDPR compliance is available and at what tier [95].

Confirm the contracting legal entity and billing domain, given the identity normalization conflict flagged in this study [96].

Final AI Consensus Verdict

Peec AI is a good fit for AI Citation Solutions for Competitive Citation Analysis, with verification conditions attached. All six included platforms named it in the ranking stage, and it placed first overall. The strongest reason to consider it is citation-source analysis: it reports which domains and URLs AI engines cite, segments sources by type, and surfaces competitor citation gaps with opportunity scoring [97].

The main limitation is scope. Peec AI is monitoring-only. It does not execute content changes, and it does not attribute citations to traffic, leads, or revenue [100]. Buyers with strong internal execution capabilities get the most from it; buyers expecting an end-to-end platform will not.

Three unresolved issues should shape any purchase decision. Engine coverage on base plans is disputed between three-model and six-engine accounts, and the difference changes total cost [102]. Starter pricing appears as $85, $89, and $95 across sources, with the official pricing page showing no visible price [104]. Source-overlap measurement and missing-authority-source reporting are not documented in any supplied source [107].

Treat Peec AI as an analytics and monitoring layer rather than a complete, independently verified citation index or an attribution system. Confirm current pricing, coverage, limits, identity, and data methodology before purchase.

How This Review Was Produced

This review synthesizes fit-research responses from six AI platforms that evaluated Peec AI against the use case "AI Citation Solutions for Competitive Citation Analysis." The study date is 2026-09-17. Platforms were anthropic (claude-haiku-4-5-20251001), deepseek (deepseek-v4-flash), grok (x-ai/grok-4.3), kimi (moonshotai/kimi-k2.6), openai (gpt-5.6-luna), and perplexity (perplexity/sonar).

All six platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. All six named Peec AI, giving a platform_share of 1.0. The ranking stage also included a seventh configured platform (google) that did not supply a fit-research response in this dataset.

Each platform supplied its own citations, which are preserved as platform-reported evidence. Company-owned sources are labeled as such in the Sources section, as are independent sources and sources with unclear ownership. No personal testing, customer experience, or independent verification was performed for this review.

This article is one entry in the broader AI Citation Solutions for Competitive Citation Analysis consensus index, which compares multiple providers against the same use case.

The category directory for this research area is ai citation authority building.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. Deepseek's research date was 2026-06-30; all other platforms reported 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.

The deterministic identity audit flagged conflicting official domains and required an exact-name fallback. Official-site retrieval failed for one or more mentions, and no failed fetch was used as a verified domain key. The matching reported domain was retained for downstream research but remains unverified. Buyers should verify the contracting legal entity and billing domain.

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.

Kimi's official website retrieval failed, and kimi rated fit uncertain on that basis. Deepseek's research ran without search enabled, so its findings rest on a single company-owned source. Neither outcome should be read as disagreement with the other platforms; missing research is not evidence against a capability.

Pricing conflicts were not resolved by guessing. Where sources disagree, this review describes the conflict and directs buyers to verify. No supplied source provides a controlled validation of Peec AI's citation completeness, ranking accuracy, or source-overlap methodology.

Sources

Company-Owned Sources

  • Competition Tracking - CiteMetrix: https://citemetrix.com/docs/competition-tracking/
  • Citingly — AI Brand Intelligence Platform: https://citingly.com/
  • Welcome to Peec AI - Peec.ai Docs: https://docs.peec.ai/intro-to-peec-ai
  • Use Cases - Peec.ai Docs: https://docs.peec.ai/mcp/use-cases
  • Metrics overview - Peec.ai Docs: https://docs.peec.ai/metrics-overview
  • Understanding your performance - Peec.ai Docs: https://docs.peec.ai/understanding-your-performance
  • Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/
  • Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/ai-instructions
  • Google AI Mode visibility tracker - Peec AI: https://peec.ai/ai-mode-visibility-tracker
  • AI Search Blog: https://peec.ai/blog
  • Peec AI vs Semrush AI Visibility Toolkit: https://peec.ai/comparison/peec-vs-semrush
  • 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
  • Peec AI - AI Visibility and Share of Voice Tracking: https://peec.ai/product/ai-visibility
  • Citation Monitor | Weekly AI Citation Tracking from $49/mo | Web Cited: https://web-cited.com/citation-monitor/
  • GEO podium, Share of Model, citation alerts and new-entrant detection: https://www.citeme.io/features/competitive-monitoring
  • Additional AI research evidence108 records
    1. AI research evidence record openai:c2
    2. AI research evidence record openai:c3
    3. AI research evidence record anthropic:citation-2
    4. AI research evidence record anthropic:citation-3
    5. AI research evidence record anthropic:citation-21
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:citation-5
    8. AI research evidence record anthropic:citation-16
    9. AI research evidence record openai:c2
    10. AI research evidence record openai:c2
    11. AI research evidence record grok:1
    12. AI research evidence record grok:2
    13. AI research evidence record anthropic:citation-7
    14. AI research evidence record anthropic:citation-3
    15. AI research evidence record anthropic:citation-2
    16. AI research evidence record anthropic:citation-23
    17. AI research evidence record openai:c3
    18. AI research evidence record openai:c1
    19. AI research evidence record anthropic:citation-14
    20. AI research evidence record anthropic:citation-17
    21. AI research evidence record anthropic:citation-5
    22. AI research evidence record anthropic:citation-16
    23. AI research evidence record anthropic:citation-4
    24. AI research evidence record anthropic:citation-13
    25. AI research evidence record anthropic:citation-10
    26. AI research evidence record anthropic:citation-18
    27. AI research evidence record grok:5
    28. AI research evidence record perplexity:c1
    29. AI research evidence record grok:2
    30. AI research evidence record openai:c5
    31. AI research evidence record anthropic:citation-8
    32. AI research evidence record anthropic:citation-9
    33. AI research evidence record anthropic:citation-22
    34. AI research evidence record kimi:peec-unverified-1
    35. AI research evidence record deepseek:c1
    36. AI research evidence record anthropic:citation-26
    37. AI research evidence record openai:c2
    38. AI research evidence record grok:1
    39. AI research evidence record grok:2
    40. AI research evidence record anthropic:citation-2
    41. AI research evidence record anthropic:citation-3
    42. AI research evidence record deepseek:c1
    43. AI research evidence record kimi:peec-unverified-1
    44. AI research evidence record openai:c3
    45. AI research evidence record anthropic:citation-7
    46. AI research evidence record anthropic:citation-11
    47. AI research evidence record anthropic:citation-23
    48. AI research evidence record anthropic:citation-20
    49. AI research evidence record anthropic:citation-5
    50. AI research evidence record openai:c1
    51. AI research evidence record anthropic:citation-17
    52. AI research evidence record anthropic:citation-14
    53. AI research evidence record anthropic:citation-5
    54. AI research evidence record anthropic:citation-16
    55. AI research evidence record perplexity:c1
    56. AI research evidence record anthropic:citation-4
    57. AI research evidence record anthropic:citation-11
    58. AI research evidence record openai:c2
    59. AI research evidence record openai:c3
    60. AI research evidence record anthropic:citation-23
    61. AI research evidence record anthropic:citation-20
    62. AI research evidence record anthropic:citation-11
    63. AI research evidence record anthropic:citation-8
    64. AI research evidence record anthropic:citation-9
    65. AI research evidence record anthropic:citation-22
    66. AI research evidence record anthropic:citation-5
    67. AI research evidence record openai:c2
    68. AI research evidence record openai:c4
    69. AI research evidence record anthropic:citation-26
    70. AI research evidence record anthropic:citation-8
    71. AI research evidence record anthropic:citation-9
    72. AI research evidence record anthropic:citation-22
    73. AI research evidence record anthropic:citation-6
    74. AI research evidence record anthropic:citation-25
    75. AI research evidence record anthropic:citation-15
    76. AI research evidence record deepseek:c1
    77. AI research evidence record openai:c2
    78. AI research evidence record anthropic:citation-6
    79. AI research evidence record deepseek:c1
    80. AI research evidence record kimi:cited-pricing
    81. AI research evidence record kimi:web-cited-monitor
    82. AI research evidence record kimi:citingly-pricing
    83. AI research evidence record kimi:citeme-competitive
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:citation-13
    86. AI research evidence record openai:c2
    87. AI research evidence record deepseek:c1
    88. AI research evidence record grok:1
    89. AI research evidence record anthropic:citation-25
    90. AI research evidence record perplexity:c1
    91. AI research evidence record openai:c3
    92. AI research evidence record anthropic:citation-7
    93. AI research evidence record anthropic:citation-26
    94. AI research evidence record anthropic:citation-3
    95. AI research evidence record anthropic:citation-6
    96. AI research evidence record kimi:peec-unverified-1
    97. AI research evidence record openai:c2
    98. AI research evidence record anthropic:citation-2
    99. AI research evidence record anthropic:citation-7
    100. AI research evidence record anthropic:citation-8
    101. AI research evidence record anthropic:citation-26
    102. AI research evidence record anthropic:citation-13
    103. AI research evidence record anthropic:citation-16
    104. AI research evidence record openai:c1
    105. AI research evidence record openai:c5
    106. AI research evidence record grok:2
    107. AI research evidence record deepseek:c1
    108. AI research evidence record kimi:peec-unverified-1

Independent Sources

  • 14 Peec AI Alternatives for AI Search Visibility Tracking (2026: https://blog.timsoulo.com/14-peec-ai-alternatives-for-ai-search-visibility-tracking-2026/
  • Peec AI Review: Is the Features & Price Worth It in 2026?: https://cairrot.com/alternatives/peec-ai-review-pricing-comparison-alternatives/
  • Peec AI review: citation tracking for competitive intelligence and content optimisation: https://discoveredlabs.com/blog/peec-ai-review-citation-tracking
  • Peec AI, the AI visibility monitoring company, assembles a team to decode how ChatGPT and other LLMs recommend brands: https://finance.yahoo.com/technology/ai/articles/peec-ai-ai-visibility-monitoring-150000183.html
  • My Peec AI Review for AI Search Visibility Updated August 2026: https://generatemore.ai/blog/peec-ai-review
  • What Is Peec AI? Features, Pricing, and Alternatives (2026: https://geotoolbox.ai/blog/what-is-peec-ai
  • Peec AI Review: is it worth it in 2026?: https://getairefs.com/blog/peec-ai-review/
  • Peec AI vs Searchable: Which is Better?: https://scrunch.com/aeo-tools/compare/peec-ai-vs-searchable/
  • Peec AI Review (2026): Pricing, Features, and Who It Is For: https://www.aeolabs.ai/blog/peec-ai-review
  • Peec AI Software Pricing, Alternatives & More 2026: https://www.capterra.com/p/10030058/Peec-AI/
  • Peec AI Review & Pricing 2026: Clean Reporting, Nothing More: https://www.get-ryze.ai/blog/peec-ai-review-pricing-2026
  • Peec AI Citation Analysis Review (2026: https://www.getaiso.com/evaluate-peec-ai-citation-analysis
  • Peec AI Review 2026: Features, Pricing, Pros & Cons, and Alternatives: https://www.lovedby.ai/blog/peec-ai-review
  • 10 Best Peec AI Competitor Tools for 2026 - Omnia: https://www.useomnia.com/blog/peec-ai-competitor-tools
  • Peec AI Review: Is the Features & Price Worth It in 2026?: https://www.workduo.ai/blog/peec-ai-review
  • Additional AI research evidence108 records
    1. AI research evidence record openai:c2
    2. AI research evidence record openai:c3
    3. AI research evidence record anthropic:citation-2
    4. AI research evidence record anthropic:citation-3
    5. AI research evidence record anthropic:citation-21
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:citation-5
    8. AI research evidence record anthropic:citation-16
    9. AI research evidence record openai:c2
    10. AI research evidence record openai:c2
    11. AI research evidence record grok:1
    12. AI research evidence record grok:2
    13. AI research evidence record anthropic:citation-7
    14. AI research evidence record anthropic:citation-3
    15. AI research evidence record anthropic:citation-2
    16. AI research evidence record anthropic:citation-23
    17. AI research evidence record openai:c3
    18. AI research evidence record openai:c1
    19. AI research evidence record anthropic:citation-14
    20. AI research evidence record anthropic:citation-17
    21. AI research evidence record anthropic:citation-5
    22. AI research evidence record anthropic:citation-16
    23. AI research evidence record anthropic:citation-4
    24. AI research evidence record anthropic:citation-13
    25. AI research evidence record anthropic:citation-10
    26. AI research evidence record anthropic:citation-18
    27. AI research evidence record grok:5
    28. AI research evidence record perplexity:c1
    29. AI research evidence record grok:2
    30. AI research evidence record openai:c5
    31. AI research evidence record anthropic:citation-8
    32. AI research evidence record anthropic:citation-9
    33. AI research evidence record anthropic:citation-22
    34. AI research evidence record kimi:peec-unverified-1
    35. AI research evidence record deepseek:c1
    36. AI research evidence record anthropic:citation-26
    37. AI research evidence record openai:c2
    38. AI research evidence record grok:1
    39. AI research evidence record grok:2
    40. AI research evidence record anthropic:citation-2
    41. AI research evidence record anthropic:citation-3
    42. AI research evidence record deepseek:c1
    43. AI research evidence record kimi:peec-unverified-1
    44. AI research evidence record openai:c3
    45. AI research evidence record anthropic:citation-7
    46. AI research evidence record anthropic:citation-11
    47. AI research evidence record anthropic:citation-23
    48. AI research evidence record anthropic:citation-20
    49. AI research evidence record anthropic:citation-5
    50. AI research evidence record openai:c1
    51. AI research evidence record anthropic:citation-17
    52. AI research evidence record anthropic:citation-14
    53. AI research evidence record anthropic:citation-5
    54. AI research evidence record anthropic:citation-16
    55. AI research evidence record perplexity:c1
    56. AI research evidence record anthropic:citation-4
    57. AI research evidence record anthropic:citation-11
    58. AI research evidence record openai:c2
    59. AI research evidence record openai:c3
    60. AI research evidence record anthropic:citation-23
    61. AI research evidence record anthropic:citation-20
    62. AI research evidence record anthropic:citation-11
    63. AI research evidence record anthropic:citation-8
    64. AI research evidence record anthropic:citation-9
    65. AI research evidence record anthropic:citation-22
    66. AI research evidence record anthropic:citation-5
    67. AI research evidence record openai:c2
    68. AI research evidence record openai:c4
    69. AI research evidence record anthropic:citation-26
    70. AI research evidence record anthropic:citation-8
    71. AI research evidence record anthropic:citation-9
    72. AI research evidence record anthropic:citation-22
    73. AI research evidence record anthropic:citation-6
    74. AI research evidence record anthropic:citation-25
    75. AI research evidence record anthropic:citation-15
    76. AI research evidence record deepseek:c1
    77. AI research evidence record openai:c2
    78. AI research evidence record anthropic:citation-6
    79. AI research evidence record deepseek:c1
    80. AI research evidence record kimi:cited-pricing
    81. AI research evidence record kimi:web-cited-monitor
    82. AI research evidence record kimi:citingly-pricing
    83. AI research evidence record kimi:citeme-competitive
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:citation-13
    86. AI research evidence record openai:c2
    87. AI research evidence record deepseek:c1
    88. AI research evidence record grok:1
    89. AI research evidence record anthropic:citation-25
    90. AI research evidence record perplexity:c1
    91. AI research evidence record openai:c3
    92. AI research evidence record anthropic:citation-7
    93. AI research evidence record anthropic:citation-26
    94. AI research evidence record anthropic:citation-3
    95. AI research evidence record anthropic:citation-6
    96. AI research evidence record kimi:peec-unverified-1
    97. AI research evidence record openai:c2
    98. AI research evidence record anthropic:citation-2
    99. AI research evidence record anthropic:citation-7
    100. AI research evidence record anthropic:citation-8
    101. AI research evidence record anthropic:citation-26
    102. AI research evidence record anthropic:citation-13
    103. AI research evidence record anthropic:citation-16
    104. AI research evidence record openai:c1
    105. AI research evidence record openai:c5
    106. AI research evidence record grok:2
    107. AI research evidence record deepseek:c1
    108. AI research evidence record kimi:peec-unverified-1

Other Sources

  • Peec AI Pricing 2026, Explained: https://getintel.ai/blog/peec-ai-pricing-2026/
  • Additional AI research evidence108 records
    1. AI research evidence record openai:c2
    2. AI research evidence record openai:c3
    3. AI research evidence record anthropic:citation-2
    4. AI research evidence record anthropic:citation-3
    5. AI research evidence record anthropic:citation-21
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:citation-5
    8. AI research evidence record anthropic:citation-16
    9. AI research evidence record openai:c2
    10. AI research evidence record openai:c2
    11. AI research evidence record grok:1
    12. AI research evidence record grok:2
    13. AI research evidence record anthropic:citation-7
    14. AI research evidence record anthropic:citation-3
    15. AI research evidence record anthropic:citation-2
    16. AI research evidence record anthropic:citation-23
    17. AI research evidence record openai:c3
    18. AI research evidence record openai:c1
    19. AI research evidence record anthropic:citation-14
    20. AI research evidence record anthropic:citation-17
    21. AI research evidence record anthropic:citation-5
    22. AI research evidence record anthropic:citation-16
    23. AI research evidence record anthropic:citation-4
    24. AI research evidence record anthropic:citation-13
    25. AI research evidence record anthropic:citation-10
    26. AI research evidence record anthropic:citation-18
    27. AI research evidence record grok:5
    28. AI research evidence record perplexity:c1
    29. AI research evidence record grok:2
    30. AI research evidence record openai:c5
    31. AI research evidence record anthropic:citation-8
    32. AI research evidence record anthropic:citation-9
    33. AI research evidence record anthropic:citation-22
    34. AI research evidence record kimi:peec-unverified-1
    35. AI research evidence record deepseek:c1
    36. AI research evidence record anthropic:citation-26
    37. AI research evidence record openai:c2
    38. AI research evidence record grok:1
    39. AI research evidence record grok:2
    40. AI research evidence record anthropic:citation-2
    41. AI research evidence record anthropic:citation-3
    42. AI research evidence record deepseek:c1
    43. AI research evidence record kimi:peec-unverified-1
    44. AI research evidence record openai:c3
    45. AI research evidence record anthropic:citation-7
    46. AI research evidence record anthropic:citation-11
    47. AI research evidence record anthropic:citation-23
    48. AI research evidence record anthropic:citation-20
    49. AI research evidence record anthropic:citation-5
    50. AI research evidence record openai:c1
    51. AI research evidence record anthropic:citation-17
    52. AI research evidence record anthropic:citation-14
    53. AI research evidence record anthropic:citation-5
    54. AI research evidence record anthropic:citation-16
    55. AI research evidence record perplexity:c1
    56. AI research evidence record anthropic:citation-4
    57. AI research evidence record anthropic:citation-11
    58. AI research evidence record openai:c2
    59. AI research evidence record openai:c3
    60. AI research evidence record anthropic:citation-23
    61. AI research evidence record anthropic:citation-20
    62. AI research evidence record anthropic:citation-11
    63. AI research evidence record anthropic:citation-8
    64. AI research evidence record anthropic:citation-9
    65. AI research evidence record anthropic:citation-22
    66. AI research evidence record anthropic:citation-5
    67. AI research evidence record openai:c2
    68. AI research evidence record openai:c4
    69. AI research evidence record anthropic:citation-26
    70. AI research evidence record anthropic:citation-8
    71. AI research evidence record anthropic:citation-9
    72. AI research evidence record anthropic:citation-22
    73. AI research evidence record anthropic:citation-6
    74. AI research evidence record anthropic:citation-25
    75. AI research evidence record anthropic:citation-15
    76. AI research evidence record deepseek:c1
    77. AI research evidence record openai:c2
    78. AI research evidence record anthropic:citation-6
    79. AI research evidence record deepseek:c1
    80. AI research evidence record kimi:cited-pricing
    81. AI research evidence record kimi:web-cited-monitor
    82. AI research evidence record kimi:citingly-pricing
    83. AI research evidence record kimi:citeme-competitive
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:citation-13
    86. AI research evidence record openai:c2
    87. AI research evidence record deepseek:c1
    88. AI research evidence record grok:1
    89. AI research evidence record anthropic:citation-25
    90. AI research evidence record perplexity:c1
    91. AI research evidence record openai:c3
    92. AI research evidence record anthropic:citation-7
    93. AI research evidence record anthropic:citation-26
    94. AI research evidence record anthropic:citation-3
    95. AI research evidence record anthropic:citation-6
    96. AI research evidence record kimi:peec-unverified-1
    97. AI research evidence record openai:c2
    98. AI research evidence record anthropic:citation-2
    99. AI research evidence record anthropic:citation-7
    100. AI research evidence record anthropic:citation-8
    101. AI research evidence record anthropic:citation-26
    102. AI research evidence record anthropic:citation-13
    103. AI research evidence record anthropic:citation-16
    104. AI research evidence record openai:c1
    105. AI research evidence record openai:c5
    106. AI research evidence record grok:2
    107. AI research evidence record deepseek:c1
    108. AI research evidence record kimi:peec-unverified-1

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
6
Source records
37
Ranking mentions
6 of 6
Platform share
100%
Final consensus rank
#1

Research trail and source mix

Configured platforms

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

Source mix

18 independent · 17 company-owned · 2 unclear

Evidence support

26 direct · 11 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 7c69705d661d615b653fdd7ce0d910d20afef65e29028996d0b3446ed9584bdb