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AI Consensus Fit Review

Peec AI Multi-Platform AI Visibility Monitoring Tool Fit Review

Peec AI is a good fit for companies that want one platform to track brand visibility, mentions, citations, competitor performance, prompt-level results, and historical trends across several leading AI platforms.

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

Answer Capsule

Peec AI is a good fit for companies that want one platform to track brand visibility, mentions, citations, competitor performance, prompt-level results, and historical trends across several leading AI platforms. Three of seven platforms named it during the ranking stage (deepseek, google, perplexity), a 42.9% share, at an average listed rank of 3.67 and a best rank of 1. The strongest reason to consider it is a purpose-built AI-search monitoring stack with daily prompt tracking, citation-source analysis, competitor share-of-voice, and agency workspaces. The main limitation is that self-serve plans cover only three AI models by default, with broader coverage costing add-ons or Enterprise pricing.

Research Snapshot

FieldValue
Platform mentions in ranking stage3 of 7 platforms
Share of included platform responses42.9%
Average listed rank3.67
Best listed rank1 (deepseek)
Relevant product/model/planPeec AI Starter, Pro, and Advanced brand plans; Agency Essential, Growth, and Scale; Enterprise for custom coverage
Overall use-case fitGood (five platforms rated good or strong; two rated uncertain)
Research date2026-09-19

Why Peec AI Qualified for This Study

Questions This Section Answers

  • Is Peec AI a good choice for Multi-Platform AI Visibility Monitoring Tools?
  • Why did only three of seven AI platforms name Peec AI in the ranking stage?

Peec AI qualified because it is positioned specifically as an AI-search visibility platform rather than a general SEO suite, and because multiple independent reviewers describe it as doing the core monitoring job cleanly with readable reporting, fast setup, and unlimited seats [1]. Its marketed scope covers tracking brand presence across generative AI platforms, which matches the buyer need more directly than general-purpose tools [3].

Three of the seven included platforms named Peec AI during ranking discovery: deepseek (rank 1), google (rank 4), and perplexity (rank 6). The remaining four platforms evaluated Peec AI's fit but did not name it in their ranked recommendations, so the 42.9% mention share reflects ranking-stage visibility only, not a quality judgment.

Fit ratings diverged across platforms: google rated it "strong," openai, anthropic, grok, and perplexity rated it "good," and deepseek and kimi rated it "uncertain." The two uncertain ratings came from platforms that could not retrieve or verify primary-source details, not from evidence of poor performance.

The Product, Model, Plan, or Service Most Relevant to Multi-Platform AI Visibility Monitoring Tools

Questions This Section Answers

  • Which Peec AI plan should a buyer choose if they need multi-platform AI visibility monitoring across more than three AI models?
  • Is the Peec AI Agency Growth plan better than the Starter plan for a company tracking several client brands?

The relevant offering is Peec AI's brand and agency subscription tiers rather than a single SKU. For non-agency buyers, the highest relevant self-serve brand plan is Advanced, with Enterprise for custom coverage [4]. For agencies, the Growth plan is the most-cited recommendation across platforms [4].

Peec's pricing materials describe tracking across multiple AI-search channels and identify ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot, Perplexity, and Gemini as supported channels in current product documentation [4]. Standard brand plans allow selection of three models; broader coverage is associated with higher or custom tiers [4].

Independent reviews describe the same core structure: Starter, Pro, and Advanced brand tiers, plus credit-based agency plans [7]. One platform reported that the official pricing page mentions unlimited projects, custom prompt setup, and up to 13 tracked LLM models, which conflicts with the three-model self-serve descriptions elsewhere [10]. That conflict is unresolved in the supplied evidence.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Peec AI does well for multi-platform AI visibility monitoring?
  • Does Peec AI track citations, competitor share of voice, and prompt-level results across AI platforms?

Agreement was strong, though not unanimous, on four capabilities.

Multi-platform prompt tracking. Peec AI runs tracked prompts against major AI engines and reports how often a brand appears in answers and how it is described [11]. Prompts rerun every 24 hours, producing a trend line rather than a one-off snapshot [12]. Multiple platforms independently described daily tracking as standard [13].

Visibility, position, sentiment, and share of voice. The dashboard shows three core metrics: Visibility (share of chats where the brand is mentioned), Position (rank in AI answers), and Sentiment (how AI frames the brand) [15]. Peec also tracks visibility, position, and share of voice against competitors [16].

Citation and source analysis. Peec tracks the specific URLs that AI answers are built from [17] and provides source analytics with domain and URL detail views [18]. One platform noted that citation-level tracking was not fully verified from the official pages it retrieved [19], so this finding rests mainly on company-owned documentation and independent reviews.

Competitor benchmarking. One of Peec AI's standout capabilities is analyzing and benchmarking brand performance against direct competitors within AI search environments [20].

Unlimited seats. Peec AI allows unlimited users across the full range of plans from Starter through Enterprise, removing per-seat friction for larger teams and agencies [21].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How much does Peec AI actually cost per month, and why do sources disagree on the price?
  • Does Peec AI monitor more than three AI models on self-serve plans, or is that Enterprise-only?

Pricing conflicts. Reported prices diverge materially. One independent review states self-serve plans run $80/month for Starter, $205/month for Pro, and $420/month for Advanced if billed annually [23]. Another states €85/month Starter, €205 Pro, and €425 Advanced month-to-month, dropping to €70, €180, and €360 on annual billing [24]. A third reports $95/month Starter, $245 Pro, and $495 Advanced [25]. Google's platform reported official marketing guides listing Starter at $89/month, Pro at $199/month, and Enterprise at $499/month [26], and noted that some public reviews cite $95/month for the same tier. The official pricing page reviewed by openai confirmed plan structures and included capacities but did not expose all numeric prices in the captured text [27]. Currency framing (USD vs. EUR) and billing method (monthly vs. annual) appear to account for part of the variance, but the supplied evidence does not reconcile it.

Model coverage. Self-serve plans include exactly three models by default, and each additional model costs €25–€115/month depending on plan [28]. One platform reported add-on pricing of €30 to €140 per model per month [29]; another reported roughly $20–35/month per engine [30]. Enterprise-tier models such as Claude, DeepSeek, Qwen, GPT-5 Search, and Mistral are described as reserved for the Enterprise plan, and it is unclear whether they can be purchased as add-ons to standard plans [29].

Data collection methodology. Peec AI documentation does not explicitly state whether monitoring relies solely on official APIs or also reads from AI platforms' web interfaces. Reviewers report a possible web-scraping layer, but this is not formally confirmed by the vendor [31]. One platform described the method as running tracked prompts in the AI engines and capturing the actual responses returned [32].

Identity and verification gaps. One platform could not retrieve the official site and found no independent sources documenting Peec AI's capabilities, concluding that its fit is uncertain and that all claims require proof [34]. Another platform's official-site retrieval also failed, leaving identity and domain details unverified [35]. These are retrieval failures, not evidence of absence.

Enterprise security. As of 2026, Peec AI does not publicly list SOC 2 Type II certification or other enterprise security certifications. It is GDPR-compliant as a German company but lacks attestations many North American enterprise procurement teams require [36].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Peec AI track product recommendations inside AI shopping answers, or only brand mentions?
  • Can Peec AI export visibility data into Looker Studio, an API, or an AI agent workflow?

Multi-platform coverage. Peec AI tracks visibility across six core AI engines — ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini — on all plans, with additional engines requiring Enterprise tier [38]. One platform reported that Peec AI distinguished itself as the strongest enterprise platform for tracking across ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Microsoft Copilot, DeepSeek, Grok, and Llama [40]; that claim is platform-reported and not independently validated in the supplied evidence.

Mentions and citations. Peec monitors how often brands appear in AI responses, their position in answers, and the specific URLs and sources cited by AI engines [41].

Competitor performance. The platform includes share-of-voice metrics showing the percentage of brand mentions compared to competitors, plus competitive performance tracking within AI-generated answers [43].

Prompt-level granularity. Starter includes 50 prompts, Pro 150, and Advanced 350 [45]. Agencies use a credit-based system with flexible prompt allocation per client project, where one credit equals one prompt tracked on one AI model for one day [46].

Recommendation tracking. AI Shopping Analytics launched in June 2026 and tracks product-level visibility in AI shopping recommendations, showing which products appear, win rate, position, and competing products shown alongside [47]. It currently covers ChatGPT's product carousel [48]. One platform reported the feature covers ChatGPT, Perplexity, and Gemini shopping [47]; the supplied evidence does not fully reconcile the platform list.

Historical trends. Prompts rerun every 24 hours, or weekly on higher agency tiers, showing visibility trends over time [49].

Integrations and exports. Peec integrates with BI stacks through a Google Looker Studio connector, a REST API, and the Model Context Protocol to feed visibility data into AI agents such as Claude [50]. One platform reported that API access and SSO are locked behind the Enterprise tier, limiting data portability for agencies and data-driven teams [52].

Agency workflow. Agency offerings are designed around multiple client projects, centralized billing, unlimited client seats, client reporting, exports, and dashboards [53].

Known content limitation. Peec's documentation states that AI models generally see HTML content and may not access paywalled or JavaScript-dependent content, which can make measured visibility incomplete for sites whose important information is not crawlable HTML [53].

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 happens to prepaid Peec AI fees if a buyer cancels a fixed-term contract early?

Public pricing shows separate brand and agency tracks. The official pricing page confirms Starter, Pro, Advanced, and custom Enterprise brand tiers, while agency materials describe Essential, Growth, Scale, and Comprehensive tiers [54]. The official page reviewed did not expose all numeric prices in the captured text [54].

PlanReported priceReported capacitySource
Brand Starter~$95/mo or €70/mo annual50 prompts, 3 models, 1 project,
Brand Pro~$245/mo or €180/mo annual150 prompts, 3 models, 2 projects,
Brand Advanced~$495/mo or €360/mo annual350 prompts, 3 models, 5 projects, multi-country,
Agency Essential€205/mo annual10,000 credits
Agency Growth~$495/mo or €425/mo annual25,000 credits, ~277 prompts, 10 projects,
Agency Scale€675/mo annual65,000 credits
Additional AI model€25–€115/mo by tierOne extra model from the core six

Annual billing is advertised as offering a 15% discount [54]. Additional-model charges are described in Peec's documentation and vary by plan [55]. One platform reported a free 7-day trial with no credit card required [56]; another reported a 7-day free trial without specifying terms [57].

Contract terms are restrictive on early exit. Upon termination or expiration, Peec AI deactivates the customer's account and ceases providing the service [58]. Fees paid in advance for periods after termination are refunded pro rata only if the termination was due to Peec AI's fault or an uncured breach by Peec AI; otherwise there is no automatic refund for early termination of a fixed term [59]. EU Data Act provisions allow customers to switch providers with two months' prior written notice [56].

The reviewed public materials do not clearly state minimum contract duration, cancellation notice, refund policy, data export period after cancellation, or overage treatment [54]. Buyers should verify whether annual billing is prepaid and whether prompt or credit overages are automatically charged [54].

Best Suited For

Questions This Section Answers

  • Is Peec AI worth it for an agency managing multiple client brands with unlimited user seats?
  • Which buyer situation makes Peec AI the best fit for multi-platform AI visibility monitoring?

Peec AI is best suited to marketing and SEO teams monitoring a brand and competitors across multiple AI-search channels, agencies managing multiple client workspaces, reports, and prompt sets, and companies needing daily tracking, prompt-level analysis, citation-source visibility, and trend comparisons [60].

Agencies with unlimited-user needs and marketing teams focused on visibility reporting rather than end-to-end optimization are well-positioned for Peec AI [61]. Brands tracking product visibility in AI shopping recommendations across ChatGPT and other platforms are also a fit [62]. Teams already using MCP-compatible AI tools such as Claude or n8n that want to pipe visibility data directly into workflows are another match [64].

The platform also suits buyers who value readable dashboards and quick setup without extensive integration overhead [61]. One platform summarized the fit as strong for teams whose main question is how they show up in AI search [65].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Peec AI for Multi-Platform AI Visibility Monitoring Tools?
  • Is Peec AI a poor fit for a buyer who needs content generation or traffic attribution?

Peec AI is probably not the best fit for buyers requiring hands-on optimization features beyond reporting and recommendations [66]. It identifies gaps and surfaces opportunities but does not help close them; the buyer's team writes the content [68]. One review described the platform as excelling at diagnosis but offering no treatment [67].

Teams needing direct traffic attribution from AI search to website conversions are also a weaker match. The platform does not connect AI visibility to actual website traffic or conversions, and reviewers note this creates an incomplete ROI picture [70]. One reviewer argued that attribution data, or an honest statement that it will never come, is missing, and that buyers currently assume a visibility tool will eventually connect to pipeline [72].

Organizations requiring SOC 2 Type II or advanced security certifications for enterprise procurement should look elsewhere [75]. Buyers demanding unlimited tracking of all current and future AI engines without paid add-ons are also poorly matched, since self-serve plans cover three models and additional models carry per-model fees [77]. Buyers seeking content generation or on-page implementation tools built into one platform should consider alternatives [70].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Peec AI for a buyer who needs built-in content generation and on-page optimization?
  • When should a buyer choose an enterprise custom-monitoring vendor instead of Peec AI?

A broader SEO platform with an AI-visibility add-on may be better when the buyer also needs extensive keyword, backlink, technical SEO, content, and site-audit capabilities [79]. An enterprise custom-monitoring vendor may be better when the buyer requires many models, large-scale API access, formal SLAs, SSO, procurement support, or bespoke sampling [79]. A more narrowly priced starter tool may be better when the buyer only needs a small number of prompts and platforms and does not need agency workspaces or detailed source analytics [79].

Specific alternative triggers reported by platforms include: needing built-in content generation, on-page optimization, or implementation tools in a single platform [80]; needing direct GA4 integration and traffic attribution connecting AI search visibility to revenue [81]; requiring SOC 2 Type II as a procurement requirement [82]; preferring broader API access and SSO on standard plans without upgrading to Enterprise [83]; operating on an extremely constrained budget while needing wider AI model coverage at entry tier [84]; and needing weekly or on-demand tracking frequency rather than daily standard [85].

One platform recommended choosing another tool if fully verified coverage of a larger set of AI engines from a low-cost plan is required, if API, SSO, or custom data export are mandatory without enterprise pricing, or if contract clarity and published cancellation terms are required before purchase [86]. Another recommended alternatives when documented multi-platform coverage of 8–10 AI engines is required, when verified daily monitoring with email or Slack alerts is needed, when transparent self-serve pricing under $500/month is required, when citation URL-level analysis is critical, or when white-label agency reporting is needed [87]. Those alternative recommendations are platform-reported and reference competitor products not evaluated in this review.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Peec AI about model coverage and pricing before signing a contract?
  • Does Peec AI track product-level recommendations, and can raw prompt answers and cited URLs be exported?

The supplied research surfaces a consistent verification list. Buyers should confirm which exact models and AI-search surfaces are included in the selected plan in the United States, and whether the plan tracks recommendations and product-level results for their category or only general brand mentions [88].

Methodology questions matter. Buyers should ask how prompts are sampled, localized, personalized, refreshed, and deduplicated, and how Peec distinguishes model-generated citations, retrieved sources, recommendations, and inferred visibility [88]. One platform specifically flagged that Peec's exact data-collection method — official APIs versus reading AI platform web interfaces — is not formally documented and should be verified directly with the vendor [89].

Commercial terms require confirmation. Buyers should verify exact monthly and annual prices, additional-model fees, prompt or credit overages, taxes, and renewal terms, plus whether there is a minimum commitment, cancellation notice, refund policy, or annual prepayment requirement [88]. They should also confirm whether API, Looker Studio, CSV, MCP, SSO, white-label reporting, and custom branding are included in the quoted tier [88].

Data handling questions include the historical retention period, whether raw prompt answers and cited URLs can be exported, and what happens to data and exports after cancellation [88]. Finally, buyers should request a representative sample report for their prompts, competitors, countries, and AI platforms before purchase [88].

Final AI Consensus Verdict

Peec AI is a good fit for Multi-Platform AI Visibility Monitoring Tools, with meaningful caveats. Five of seven platforms rated the fit good or strong; two rated it uncertain because they could not retrieve or verify primary-source details. Three platforms named it during ranking discovery.

The strongest case for Peec AI is a purpose-built monitoring stack: daily prompt tracking across major AI engines, visibility and share-of-voice metrics, citation-source analysis, competitor benchmarking, historical trends, unlimited seats, and agency workspaces [91]. The AI Shopping Analytics feature extends this to product-level recommendation tracking [96].

The main constraints are consistent across platforms: self-serve plans cover only three AI models with paid add-ons for more [98]; the platform reports on visibility but does not execute optimization [100]; there is no native traffic attribution to website conversions [102]; API and SSO appear gated to Enterprise [104]; and no public SOC 2 Type II certification is listed [105]. Pricing is reported inconsistently across sources and should be confirmed directly.

For agencies and marketing teams whose primary need is recurring, prompt-level visibility reporting across several AI platforms, Peec AI matches the requirement. For buyers who need integrated optimization, traffic attribution, or enterprise security attestations, the fit is weaker. This review compares Peec AI against the wider field tracked in the Multi-Platform AI Visibility Monitoring Tools consensus index, and the broader ai visibility llm monitoring category directory lists related tooling.

How This Review Was Produced

This review was produced from a structured multi-platform research run dated 2026-09-19. Seven AI platforms evaluated Peec AI's fit for Multi-Platform AI Visibility Monitoring Tools: openai, anthropic, google, grok, deepseek, perplexity, and kimi. Each platform returned a fit assessment, use-case findings, pricing and terms, strengths, limitations, and questions to verify before buying.

Three platforms named Peec AI during ranking discovery (deepseek, google, perplexity). All seven platforms evaluated fit. Fit ratings were: google strong; openai, anthropic, grok, and perplexity good; deepseek and kimi uncertain.

All platform outputs are labeled platform-reported and were not independently verified by the writer stage. Citations reference the supplied source catalog and preserve the original platform and citation IDs.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. Six platforms reported 2026-09-19; deepseek reported 2026-02-14, so its findings may be stale relative to the others.

One platform ran without search enabled (deepseek), so its conclusions rest on model knowledge rather than retrieved sources. Official-site retrieval failed for at least one platform, and the deterministic identity audit used an exact-name fallback with an unverified domain association.

Pricing sources conflict in both currency and amount, and the official pricing page reviewed did not expose all numeric prices in the captured text. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts.

No independent source reviewed here validates Peec's visibility methodology, response sampling, citation precision, or historical-data completeness. AI-platform agreement on a capability does not prove product quality. Missing research was not treated as disagreement.

Sources

Company-Owned Sources

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  • Peec AI for Agencies: Getting started: https://docs.peec.ai/agencies/agency-getting-started
  • AI Visibility - GrackerAI: https://gracker.ai/ai-visibility
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  • Multi-Engine LLM Monitoring - LLM Metrix: https://llmmetrix.com/features/multi-engine-monitoring
  • Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/
  • Peec AI instructions and agency workflow documentation: https://peec.ai/ai-instructions
  • Terms of Use for Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/legal/terms-of-use
  • Pricing for Peec AI: https://peec.ai/pricing
  • Peec AI Agency Pricing: Plans Built for Multi-Brand Tracking: https://peec.ai/pricing-agencies
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  • Additional AI research evidence105 records
    1. AI research evidence record anthropic:1-10
    2. AI research evidence record anthropic:1-11
    3. AI research evidence record deepseek:peec-home
    4. AI research evidence record openai:c1
    5. AI research evidence record grok:web:11
    6. AI research evidence record openai:c2
    7. AI research evidence record anthropic:24-1
    8. AI research evidence record grok:web:1
    9. AI research evidence record perplexity:c5
    10. AI research evidence record perplexity:c1
    11. AI research evidence record anthropic:1-13
    12. AI research evidence record anthropic:1-14
    13. AI research evidence record grok:web:1
    14. AI research evidence record perplexity:c3
    15. AI research evidence record anthropic:18-9
    16. AI research evidence record anthropic:14-2
    17. AI research evidence record anthropic:6-5
    18. AI research evidence record openai:c2
    19. AI research evidence record perplexity:c2
    20. AI research evidence record anthropic:12-9
    21. AI research evidence record anthropic:22-4
    22. AI research evidence record anthropic:22-5
    23. AI research evidence record anthropic:1-1
    24. AI research evidence record anthropic:20-1
    25. AI research evidence record anthropic:24-1
    26. AI research evidence record google:peec_official
    27. AI research evidence record openai:c1
    28. AI research evidence record anthropic:25-13
    29. AI research evidence record anthropic:20-9
    30. AI research evidence record grok:web:1
    31. AI research evidence record anthropic:20-12
    32. AI research evidence record anthropic:36-2
    33. AI research evidence record anthropic:36-3
    34. AI research evidence record kimi:peec_unverified
    35. AI research evidence record deepseek:peec-home
    36. AI research evidence record anthropic:9-5
    37. AI research evidence record anthropic:9-6
    38. AI research evidence record anthropic:25-10
    39. AI research evidence record anthropic:20-9
    40. AI research evidence record anthropic:16-1
    41. AI research evidence record anthropic:6-9
    42. AI research evidence record anthropic:21-11
    43. AI research evidence record anthropic:12-9
    44. AI research evidence record anthropic:14-2
    45. AI research evidence record anthropic:24-1
    46. AI research evidence record anthropic:30-2
    47. AI research evidence record anthropic:28-12
    48. AI research evidence record anthropic:30-7
    49. AI research evidence record anthropic:1-14
    50. AI research evidence record anthropic:13-3
    51. AI research evidence record anthropic:13-4
    52. AI research evidence record anthropic:26-14
    53. AI research evidence record openai:c2
    54. AI research evidence record openai:c1
    55. AI research evidence record openai:c2
    56. AI research evidence record anthropic:20-1
    57. AI research evidence record grok:web:5
    58. AI research evidence record anthropic:37-1
    59. AI research evidence record anthropic:37-3
    60. AI research evidence record openai:c1
    61. AI research evidence record anthropic:1-11
    62. AI research evidence record anthropic:28-12
    63. AI research evidence record anthropic:30-7
    64. AI research evidence record anthropic:13-3
    65. AI research evidence record anthropic:1-10
    66. AI research evidence record anthropic:6-13
    67. AI research evidence record anthropic:17-13
    68. AI research evidence record anthropic:11-11
    69. AI research evidence record anthropic:11-12
    70. AI research evidence record anthropic:18-1
    71. AI research evidence record anthropic:21-6
    72. AI research evidence record anthropic:36-10
    73. AI research evidence record anthropic:36-11
    74. AI research evidence record anthropic:36-12
    75. AI research evidence record anthropic:9-5
    76. AI research evidence record anthropic:9-6
    77. AI research evidence record anthropic:20-9
    78. AI research evidence record anthropic:25-13
    79. AI research evidence record openai:c1
    80. AI research evidence record anthropic:6-13
    81. AI research evidence record anthropic:21-6
    82. AI research evidence record anthropic:9-5
    83. AI research evidence record anthropic:26-14
    84. AI research evidence record anthropic:20-9
    85. AI research evidence record anthropic:1-14
    86. AI research evidence record perplexity:c1
    87. AI research evidence record kimi:peec_unverified
    88. AI research evidence record openai:c1
    89. AI research evidence record anthropic:20-12
    90. AI research evidence record anthropic:26-14
    91. AI research evidence record anthropic:1-13
    92. AI research evidence record anthropic:1-14
    93. AI research evidence record anthropic:14-2
    94. AI research evidence record anthropic:22-4
    95. AI research evidence record openai:c2
    96. AI research evidence record anthropic:28-12
    97. AI research evidence record anthropic:30-7
    98. AI research evidence record anthropic:20-9
    99. AI research evidence record anthropic:25-13
    100. AI research evidence record anthropic:6-13
    101. AI research evidence record anthropic:11-11
    102. AI research evidence record anthropic:18-1
    103. AI research evidence record anthropic:21-6
    104. AI research evidence record anthropic:26-14
    105. AI research evidence record anthropic:9-5

Independent Sources

  • Peec AI: Multi-language AI visibility tracking – AI Search Tools: https://ai-search-tools.com/peec-ai
  • 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/
  • Peec AI Review 2026: Best for AI Visibility Monitoring? (Use Cases, Limits, Alternatives) | Discovered Labs: https://discoveredlabs.com/blog/peec-ai-review-best-for-ai-visibility-monitoring-use-cases-limits-alternatives
  • Peec AI launches AI Shopping Analytics as product recommendations move inside ChatGPT: https://finance.yahoo.com/technology/ai/articles/peec-ai-launches-ai-shopping-080000983.html
  • My Peec AI Review for AI Search Visibility Updated August 2026: https://generatemore.ai/blog/peec-ai-review
  • Peec AI Review 2026: Pricing & Engine Limits: https://geoptie.com/blog/peec-ai-review
  • What Is Peec AI? Features, Pricing, and Alternatives (2026: https://geotoolbox.ai/blog/what-is-peec-ai
  • Peec AI review: simple AI-search visibility tracking from $95 a month: https://stackmerit.com/ai-tools/peec-review
  • Peec AI review — pricing, features, alternatives: https://theanswerenginereport.com/tools/peec-ai
  • Peec AI review 2026: pricing, features, and is it worth it?: https://visible.seranking.com/blog/peec-ai-review/
  • Peec AI Review (2026): Pricing, Features, and Who It Is For | AEO Labs: https://www.aeolabs.ai/blog/peec-ai-review
  • Peec AI Review (2026): Pricing, Features, and Is It Worth It?: https://www.aipeekaboo.com/blog/peec-ai-review
  • Peec AI Pricing, Reviews & Features: https://www.capterra.ca/software/1076642/Peec-AI
  • Peec AI Review & Pricing 2026: Clean Reporting, Nothing More: https://www.get-ryze.ai/blog/peec-ai-review-pricing-2026
  • Peec AI Review 2026: Features, Pricing, Pros & Cons, and Alternatives | LovedByAI: https://www.lovedby.ai/blog/peec-ai-review
  • Peec AI review for agencies (2026): is it worth it for client AI visibility? | Rankability Blog: https://www.rankability.com/blog/peec-ai-review/
  • Peec AI vs Profound: Pricing, Features & Limits 2026: https://www.tryanalyze.ai/blog/peec-ai-vs-profound
  • Peec AI Review: Is the Features & Price Worth It in 2026?: https://www.workduo.ai/blog/peec-ai-review
  • Peec.ai Review & Tutorial 2026 — Full Beginner's Guide: https://www.youtube.com/watch?v=1O0U0oemB84
  • A Demo of Peec AI for B2B Marketers with Malte Landwehr: https://www.youtube.com/watch?v=48urhIFhxfA
  • PEEC AI Review – The Future of AI Search & AI Visibility Tools: https://www.youtube.com/watch?v=e79za6r_pWY
  • Additional AI research evidence105 records
    1. AI research evidence record anthropic:1-10
    2. AI research evidence record anthropic:1-11
    3. AI research evidence record deepseek:peec-home
    4. AI research evidence record openai:c1
    5. AI research evidence record grok:web:11
    6. AI research evidence record openai:c2
    7. AI research evidence record anthropic:24-1
    8. AI research evidence record grok:web:1
    9. AI research evidence record perplexity:c5
    10. AI research evidence record perplexity:c1
    11. AI research evidence record anthropic:1-13
    12. AI research evidence record anthropic:1-14
    13. AI research evidence record grok:web:1
    14. AI research evidence record perplexity:c3
    15. AI research evidence record anthropic:18-9
    16. AI research evidence record anthropic:14-2
    17. AI research evidence record anthropic:6-5
    18. AI research evidence record openai:c2
    19. AI research evidence record perplexity:c2
    20. AI research evidence record anthropic:12-9
    21. AI research evidence record anthropic:22-4
    22. AI research evidence record anthropic:22-5
    23. AI research evidence record anthropic:1-1
    24. AI research evidence record anthropic:20-1
    25. AI research evidence record anthropic:24-1
    26. AI research evidence record google:peec_official
    27. AI research evidence record openai:c1
    28. AI research evidence record anthropic:25-13
    29. AI research evidence record anthropic:20-9
    30. AI research evidence record grok:web:1
    31. AI research evidence record anthropic:20-12
    32. AI research evidence record anthropic:36-2
    33. AI research evidence record anthropic:36-3
    34. AI research evidence record kimi:peec_unverified
    35. AI research evidence record deepseek:peec-home
    36. AI research evidence record anthropic:9-5
    37. AI research evidence record anthropic:9-6
    38. AI research evidence record anthropic:25-10
    39. AI research evidence record anthropic:20-9
    40. AI research evidence record anthropic:16-1
    41. AI research evidence record anthropic:6-9
    42. AI research evidence record anthropic:21-11
    43. AI research evidence record anthropic:12-9
    44. AI research evidence record anthropic:14-2
    45. AI research evidence record anthropic:24-1
    46. AI research evidence record anthropic:30-2
    47. AI research evidence record anthropic:28-12
    48. AI research evidence record anthropic:30-7
    49. AI research evidence record anthropic:1-14
    50. AI research evidence record anthropic:13-3
    51. AI research evidence record anthropic:13-4
    52. AI research evidence record anthropic:26-14
    53. AI research evidence record openai:c2
    54. AI research evidence record openai:c1
    55. AI research evidence record openai:c2
    56. AI research evidence record anthropic:20-1
    57. AI research evidence record grok:web:5
    58. AI research evidence record anthropic:37-1
    59. AI research evidence record anthropic:37-3
    60. AI research evidence record openai:c1
    61. AI research evidence record anthropic:1-11
    62. AI research evidence record anthropic:28-12
    63. AI research evidence record anthropic:30-7
    64. AI research evidence record anthropic:13-3
    65. AI research evidence record anthropic:1-10
    66. AI research evidence record anthropic:6-13
    67. AI research evidence record anthropic:17-13
    68. AI research evidence record anthropic:11-11
    69. AI research evidence record anthropic:11-12
    70. AI research evidence record anthropic:18-1
    71. AI research evidence record anthropic:21-6
    72. AI research evidence record anthropic:36-10
    73. AI research evidence record anthropic:36-11
    74. AI research evidence record anthropic:36-12
    75. AI research evidence record anthropic:9-5
    76. AI research evidence record anthropic:9-6
    77. AI research evidence record anthropic:20-9
    78. AI research evidence record anthropic:25-13
    79. AI research evidence record openai:c1
    80. AI research evidence record anthropic:6-13
    81. AI research evidence record anthropic:21-6
    82. AI research evidence record anthropic:9-5
    83. AI research evidence record anthropic:26-14
    84. AI research evidence record anthropic:20-9
    85. AI research evidence record anthropic:1-14
    86. AI research evidence record perplexity:c1
    87. AI research evidence record kimi:peec_unverified
    88. AI research evidence record openai:c1
    89. AI research evidence record anthropic:20-12
    90. AI research evidence record anthropic:26-14
    91. AI research evidence record anthropic:1-13
    92. AI research evidence record anthropic:1-14
    93. AI research evidence record anthropic:14-2
    94. AI research evidence record anthropic:22-4
    95. AI research evidence record openai:c2
    96. AI research evidence record anthropic:28-12
    97. AI research evidence record anthropic:30-7
    98. AI research evidence record anthropic:20-9
    99. AI research evidence record anthropic:25-13
    100. AI research evidence record anthropic:6-13
    101. AI research evidence record anthropic:11-11
    102. AI research evidence record anthropic:18-1
    103. AI research evidence record anthropic:21-6
    104. AI research evidence record anthropic:26-14
    105. AI research evidence record anthropic:9-5

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
40
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#2

Research trail and source mix

Configured platforms

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

Source mix

25 independent · 15 company-owned

Evidence support

36 direct · 4 partial

Important limitation

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

Source snapshot SHA-256 512df03074f5eeae7e58c7cdd7ddded78cd50920635a8b003d42d93fa61e40ce