Answer Capsule
Peec AI is a good fit for AI Brand Visibility Tracking Tools, with one platform rating it strong, four rating it good, and one unable to verify the product at all. Four of seven platforms named Peec AI during ranking discovery, a 57% share of included platform responses, at an average listed rank of 4.0 and a best rank of 2. Its strongest case is purpose-built prompt-level monitoring of mentions, position, sentiment, citations, and competitors across major generative-search engines, with daily tracking and published tiered pricing. The main limitation is that standard plans cap at three AI models, historical data begins only after tracking starts, and no independent source verified measurement accuracy.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 4 of 7 platforms (deepseek, grok, openai, perplexity) |
| Share of included platform responses | 57.1% |
| Average listed rank | 4.0 |
| Best listed rank | 2 |
| Relevant product/model/plan | Peec AI AI Search Visibility Tracking; brand plans Starter, Pro, Advanced, Enterprise; agency plans Essential, Growth, Scale, Comprehensive |
| Overall use-case fit | Strong (2 platforms); Good (4 platforms); Uncertain (1 platform) — 7 platforms analyzed |
| Research date | 2026-09-19 |
Why Peec AI Qualified for This Study
Questions This Section Answers
- Is Peec AI a good choice for AI Brand Visibility Tracking Tools?
- How many AI platforms recommended Peec AI for AI brand visibility tracking?
Peec AI qualified because it is purpose-built for the exact use case rather than adapted from legacy SEO tooling. It publicly positions itself as an AI search visibility and brand monitoring tool that tracks how brands appear, are cited, and are recommended inside AI assistants and generative answers [1]. Its official product page states it measures the percentage of AI responses that mention a brand, which maps directly to visibility tracking [2].
Four of the seven included platforms named Peec AI during ranking discovery: deepseek, grok, openai, and perplexity. That is a 57.1% share of included platform responses. Listed ranks ranged from 2 (deepseek, grok) to 5 (openai) and 7 (perplexity), producing an average listed rank of 4.0.
Platform fit ratings split across the field: google and grok rated Peec AI a strong fit, while anthropic, deepseek, openai, and perplexity rated it good. Kimi rated it uncertain because its official-site retrieval failed and it found no third-party coverage during its search window [3]. That single uncertain rating reflects a retrieval failure, not a documented product defect, and should be read alongside the six platforms that did retrieve supporting material.
Peec AI was founded in January 2025 by Marius Meiners, Daniel Drabo, and Tobias Siwonia, backed by Singular, 20VC, and Antler, according to independent journalism [4]. The company describes itself as tracking brand performance across ChatGPT, Perplexity, and Gemini [5].
The Product, Model, Plan, or Service Most Relevant to AI Brand Visibility Tracking Tools
Questions This Section Answers
- Which Peec AI plan should a buyer choose for tracking 50 to 350 prompts across AI search engines?
- Does Peec AI's Starter plan include enough prompts and models for a small brand's AI visibility tracking?
The relevant product is Peec AI AI Search Visibility Tracking, sold as tiered self-serve brand plans plus separate agency plans. The brand tiers most platforms described are Starter, Pro, and Advanced, with a custom Enterprise tier [6].
Company-reported brand plan structure:
| Plan | Reported price | Prompts | Projects | Models |
|---|---|---|---|---|
| Starter | $95/month | 50 | 1 | 3 |
| Pro | $245/month | 150 | 2 | 3 |
| Advanced | $495/month | 350 | 5 | 3 |
| Enterprise | Custom | Custom | Custom | Up to 11–13 (conflicting) |
Agency plans are credit-based and reported at Essential $245/month, Growth $495/month, and Scale $795/month, with Comprehensive custom [7]. Peec's agency materials describe multi-client projects, unlimited client seats, CSV exports, Looker Studio, API access, daily tracking, and pitch projects [8].
Peec AI executes each prompt once every 24 hours on every selected model, providing daily tracked data [10]. All plans reportedly include unlimited users [11]. The platform uses UI scraping rather than APIs for most tracked engines, simulating real browser sessions so data reflects what actual users see [12].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Peec AI does well for AI brand visibility tracking?
- Does Peec AI track citations and competitor visibility across ChatGPT, Perplexity, and Google AI Overviews?
Agreement was strong, though not unanimous, on core tracking capability. Platforms consistently described Peec AI as monitoring brand mentions, visibility, position, sentiment, citations, and competitor benchmarks across major generative-search engines.
On engine coverage, Peec's company materials state supported channels include ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Microsoft Copilot [14]. Independent reviews corroborate tracking across ChatGPT, Perplexity, and Google AI Overviews [15], and Peec publishes dedicated pages for Gemini and Google AI Mode visibility tracking [16].
On citation analysis, multiple platforms converged. Peec's sources and citations feature identifies URLs and domains cited by AI engines, supporting citation-gap and source-influence analysis [14]. One independent review called citations analysis one of the platform's strongest areas, including regional visibility breakdowns and identification of specific cited domains [18]. Another described mapping the specific domains, sources, and URLs that LLMs retrieve and cite during query execution [19].
On competitive benchmarking, platforms agreed Peec shows how a brand stacks up against specific competitors for each tracked prompt [20]. One review noted auto-suggested competitor discovery that identifies rivals mentioned at least twice alongside the user's brand [19].
On pricing transparency, most platforms reported the same tier structure and starting price. Independent sources list Starter at $95/month, Pro at $245/month, and Advanced at $495/month [21]. Annual billing is reported to save approximately 15% [24].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about Peec AI's pricing and model coverage?
- Is Peec AI's pricing verified, or is it only company-reported?
Pricing conflicts are the most material disagreement. Some sources quote USD ($95 Starter) while others list EUR (€70–€85 Starter), and monthly versus annual rates differ [25]. One independent review cites a prior entry price and prior prompt limits that differ from Peec's 2026 public materials, indicating plans and limits have changed over time [27]. Perplexity reported public sources variously listing brand plans at $89/$199/$499 versus $95/$245/$495, and described pricing confidence as low [28]. Deepseek could not verify official pricing at all and rated its pricing confidence low [29].
Model coverage conflicts also surfaced. Peec's pricing page reportedly states up to 11 LLM models on Enterprise, while the AI-instructions page lists 13 models [31]. Peec's public materials describe six default channels, while higher-tier model coverage and the exact availability of every named engine should be verified in the buyer's account and contract [33].
Model add-on pricing varies across sources: €25–€30/month for Starter, €55–€70/month for Pro, and €115–€165/month for Advanced [31]. One review reported add-on models at $30, $70, or $140/month depending on tier [34]. Exchange rate and billing-cycle timing may explain the variance.
Compliance status is unresolved. Multiple independent reviews state Peec AI does not publicly list SOC 2 Type II compliance, but no official absence confirmation was found [31]. Buyers with mandatory certification requirements should inquire directly.
Kimi's uncertainty is a distinct case: its official-site retrieval failed, and it found no third-party coverage of Peec AI as an AI visibility tool during its searched timeframe [35]. Kimi's research date matched the run date, so this appears to be a retrieval or indexing failure rather than evidence the product does not exist.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Peec AI track AI shopping recommendations and product carousel visibility?
- Can Peec AI export visibility data to Looker Studio or connect through an MCP server?
Core visibility tracking. Peec AI reports brand mention or visibility frequency, position, sentiment, citation counts or cited sources, and competitive benchmarks across tracked prompts [36]. One independent review describes visibility measured as share of chats mentioning the brand, position, sentiment on a 0–100 scale, competitor share of voice, and cited sources grouped by type [37].
Prompt coverage and trend monitoring. Current public brand plans list 50 prompts on Starter, 150 on Pro, and 350 on Advanced, with daily tracking and one, two, and five projects respectively [38]. Peec auto-suggests prompts matched to customer search intent and brand context, and organizes prompts by tags such as personas and funnel stage [39]. One limitation: AI-generated onboarding prompts sometimes require manual cleanup due to overlapping or redundant suggestions [39].
Recommendations and shopping visibility. Peec states its shopping feature can track whether catalog products appear in AI shopping recommendations, including recommendation status, win rate, position, cited price, and competing products; the public description identifies ChatGPT's product carousel as the current shopping coverage [36]. One review describes comparing quoted prices to actual prices and measuring winning rates [40].
Citation and source analysis. The sources and citations feature identifies URLs and domains cited by AI engines [36]. One review notes regional visibility breakdowns and identification of specific cited domains [41].
Actionable recommendations. Peec Actions turns visibility data into opportunity-scored recommendations grouped into owned pages, editorial coverage, reference sites, and UGC communities [42]. One review describes ranking citation gaps into recommendations [43].
Integrations. Peec ships a native MCP server, described as one of the first AI visibility trackers to do so [44]. The MCP surface reportedly exposes 27 tools including visibility queries, Actions recommendations, and batch prompt and topic management [39]. CSV export is available on all plans; Looker Studio and REST API access are reported on Pro and above [39]. Some features, such as prompt suggestions, reportedly remained HTTP-API-only as of April 2026 [39].
Data collection methodology. Peec uses UI scraping rather than APIs, simulating real browser sessions [45]. This avoids API sanitization and works for platforms without public APIs, but AI answers are personalized and non-deterministic, so single-prompt results may diverge from live user experience and should be treated as benchmarks over time [46].
Multi-brand and agency support. Peec supports multi-brand tracking, letting agencies monitor AI Mode visibility, sentiment, and citations separately for each client from one dashboard [47]. Agency plans include centralized billing and flexible prompt allocation across client projects [39].
Language and geography. One independent review calls unlimited countries and languages at no extra cost a genuine differentiator [48]. Peec is described as supporting 115+ languages [39].
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 do extra AI models cost on Peec AI's Starter, Pro, and Advanced plans?
Company-reported brand pricing is Starter $95/month, Pro $245/month, Advanced $495/month, and Enterprise custom [49]. Company-reported agency pricing is Essential $245/month, Growth $495/month, Scale $795/month, and Comprehensive custom [50]. Annual billing is reported by Peec as saving approximately 15%, subject to confirmation [49].
Add-on model costs are the most commonly cited pricing gotcha. All self-serve brand plans reportedly cap at three chosen models from six core engines, with fourth and fifth models costing €25–€115/month depending on tier [50]. One review reported add-on models at $30, $70, or $140/month depending on subscription tier [51]. Claude, DeepSeek, GPT-5 Search, Qwen, and Mistral are described as Enterprise-only [50].
No separately verified mandatory setup, implementation, overage, or model-usage fees were found [49]. Potential add-ons, custom integrations, extra model coverage, or enterprise services are unclear and should be confirmed in the order form [49].
Contract and cancellation terms are not fully documented publicly. Publicly retrieved sources did not verify minimum contract duration, renewal terms, cancellation notice, refund policy, or treatment of unused prompt or credit capacity [49]. Peec's Terms of Use grant a limited, non-exclusive, non-transferable right to use the service during the contract term, and the customer retains all rights to uploaded data and materials [52]. One review reports a free 7-day trial with no credit card required [53].
Pricing confidence varies by platform: high from anthropic, grok, and google; moderate from openai; low from deepseek and perplexity [50]. Buyers should reconfirm at checkout because pricing can change.
Best Suited For
Questions This Section Answers
- Who gets the most value from Peec AI for AI brand visibility tracking?
- Is Peec AI a good fit for agencies managing multiple client brands?
Peec AI is best suited to US brands beginning structured AI-search visibility measurement, and to marketing, SEO, content, and brand teams needing daily prompt tracking and competitor benchmarking [57]. It fits agencies needing multi-client projects, reporting exports, and API or Looker Studio integration [58].
Specific fits supported by the research:
- In-house SEO and content teams building an AI search visibility baseline with 50–350 tracked prompts [59].
- Marketing agencies managing multiple client accounts with multi-brand tracking and client-facing reporting [60].
- Brands tracking visibility across multiple languages and global regions at no extra cost [61].
- Teams valuing native MCP integration and API access for connecting visibility data into existing workflows [62].
- Ecommerce brands interested in AI shopping-recommendation monitoring, subject to confirming availability and coverage [63].
- Organizations prioritizing clean UI, unlimited seats, and fast onboarding over deep analytics depth [59].
One independent review concluded Peec AI is worth considering when a team needs a dedicated, clean monitoring product for 50–350+ prompts, several models, multiple projects, daily tracking, and citation-source analysis [64].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Peec AI for AI brand visibility tracking?
- Is Peec AI unsuitable for buyers who need content creation or traffic attribution?
Peec AI is probably not the best fit for buyers requiring comprehensive historical visibility data before the subscription start date. An independent hands-on review reports that Peec's timeline only contains data collected after tracking begins and does not provide retroactive history for periods before signup [65].
It is also a weaker fit for teams needing unrestricted model coverage on lower-cost plans. Standard plans are hard-capped at three AI models, with fourth and fifth models requiring paid add-ons [66].
Organizations seeking a fully managed content-production or ranking-improvement service should look elsewhere. Peec AI is a monitoring and analytics platform only; it does not create, edit, publish, or optimize content, and does not execute digital PR or outreach [67]. One independent review characterizes it as more monitoring-oriented than an end-to-end optimization and content platform [68].
Buyers needing direct traffic or revenue attribution from AI search mentions are also a poor fit. Peec AI does not offer built-in end-to-end traffic attribution connecting AI mentions to website visits or leads [66]. One review notes there is no native Google Analytics connector yet [66].
Enterprise buyers requiring custom governance, integrations, SSO, or support without negotiating an Enterprise contract should weigh alternatives [69]. Buyers requiring SOC 2 Type II, HIPAA, or PCI-DSS certifications may be disqualified, since these are not publicly listed [66].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Peec AI for a buyer who needs four or more AI models on an entry-tier plan?
- When should a buyer choose an execution-oriented GEO platform instead of Peec AI?
Choose a more enterprise-oriented platform when the buyer needs deeper governance, larger-scale historical datasets, broader model coverage, extensive workflow controls, or custom integrations without relying on a bespoke Peec contract [70]. One platform specifically named Profound as an enterprise-grade option with deeper data, and Ahrefs Brand Radar as offering broader model coverage on entry tiers [71].
Choose an execution-oriented GEO or content platform when the primary requirement is automated recommendations, content creation, experimentation, or implementation rather than measurement [70]. Named alternatives for end-to-end content execution include Scalenut, Ahrefs, Evertune, and Scrunch AI [71].
Choose a lower-cost specialist when the buyer needs only a small number of prompts and engines and does not need competitor, citation, agency, or reporting depth [70]. One platform named Track My Visibility at $50/month Starter for minimal scope [71]. Another comparison found Peec AI has more developed analytics, better coverage for global markets, and stronger integrations than Track My Visibility [72].
Choose a tool with direct traffic attribution when linking AI visibility to website visits matters. One platform named WorkDuo for AI visibility plus real traffic linkage [71].
Choose a broad SEO suite plus AI visibility when the buyer wants one stack. Legacy SEO platforms with AI-visibility add-ons may fit better for buyers who also need backlinks, technical audits, and rank tracking [73].
Choose a vendor with published stable pricing and mature procurement documentation when audited enterprise SLAs are required [73].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Peec AI before signing a contract?
- Which AI engines and model versions does Peec AI actually track on the selected plan?
The platforms surfaced a consistent verification list. Buyers should confirm the following before committing:
- Which exact AI engines, model versions, search interfaces, and US-localized experiences are included in the selected plan [74].
- Whether Google AI Overviews, Google AI Mode, ChatGPT recommendations, and citations are measured consistently for the buyer's target prompts [74].
- How prompts are sampled, refreshed, deduplicated, localized, and categorized, and whether the buyer can upload or bulk-edit prompt sets [74].
- Whether one prompt consumes capacity separately for each model and tracking frequency, and what happens when limits are exceeded [74].
- Whether raw responses, citations, timestamps, competitor results, and historical trend data can be exported [74].
- Whether API, Looker Studio, CSV, MCP, SSO, multi-country tracking, and white-label reporting are included in the proposed tier or priced separately [74].
- Minimum term, renewal, cancellation, refund, data-retention, and unused-credit policies [74].
- What independent validation or service-level commitments exist for citation detection, sentiment classification, recommendation tracking, and data availability [74].
- For ecommerce use, which catalogs, product feeds, countries, currencies, and shopping surfaces are supported beyond the stated ChatGPT product carousel [74].
- The exact cancellation notice period and auto-renewal behavior, since public terms do not specify these [75].
- Current pricing in the buyer's billing region, since Peec quotes prices in both USD and EUR [75].
- SOC 2 Type II, HIPAA, or PCI-DSS compliance status if certifications are mandatory for procurement [75].
- Whether prompts and historical data are retained after the 7-day free trial if the buyer upgrades [75].
Final AI Consensus Verdict
Peec AI is a good fit for AI Brand Visibility Tracking Tools. Six of seven platforms that evaluated fit rated it good or strong; one rated it uncertain because its official-site retrieval failed. Four of seven platforms named it during ranking discovery at an average listed rank of 4.0.
The strongest reason to consider it is direct alignment with the use case: prompt-level monitoring of mentions, visibility, position, sentiment, citations, sources, and competitors across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Microsoft Copilot, with daily tracking and published tiered pricing starting at a company-reported $95/month [76].
The main limitations are consistent across platforms: a three-model cap on standard plans with paid add-ons for additional engines, no retroactive historical data before tracking begins, monitoring-only scope without content execution, no built-in traffic or revenue attribution, and no publicly listed SOC 2 Type II compliance [78].
Buyers should trial it and verify current pricing, model coverage, historical-data behavior, measurement methodology, and contractual terms before treating it as an enterprise-wide system of record [77]. AI answers are dynamic and model-specific; Peec measurement should not be treated as a guaranteed ranking, traffic, or revenue outcome [77].
How This Review Was Produced
This review evaluates Peec AI only for the AI Brand Visibility Tracking Tools use case. It is not a broad company review. The research ran on 2026-09-19 across seven included platforms: anthropic, deepseek, google, grok, kimi, openai, and perplexity.
Each platform was asked which AI brand visibility tracking tools it would recommend and why. Platforms that named Peec AI during ranking discovery were counted in the platform mention statistics. All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery.
Platform fit ratings were: google strong, grok strong, anthropic good, deepseek good, openai good, perplexity good, and kimi uncertain. Citations are platform-reported evidence, not independently verified facts. Company-owned sources are labeled as owned; independent reviews, directories, and journalism are labeled as independent.
Methodology Limitations
Several limitations apply to this review.
Platform-reported research dates differ from the authoritative run date. Deepseek reported a research date of 2026-06-20, while the run research date is 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.
Official-site retrieval was incomplete. The peec.ai homepage retrieval failed because the HTML exceeded the size limit, and one platform's official-site retrieval failed entirely. The entity and domain match was supplied by the ranking context and should be treated as identity information to verify.
Pricing conflicts were not resolved. Sources quote prices in both USD and EUR, and monthly versus annual rates differ. Model add-on pricing varies across sources. These figures are company-reported or review-reported and should be reconfirmed at checkout.
No independent source verified measurement accuracy, sampling methodology, regional localization quality, or the reliability of product-recommendation tracking. Public evidence is predominantly company-reported or review-based.
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 uncertain rating reflects a retrieval failure, not a documented product defect. Missing research should not be interpreted as disagreement.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Astiva AI Product: Detect, Diagnose, Displace, Prove AI Visibility: https://astiva.ai/product
- 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 Visibility Tracking for Marketing Agencies | Peec AI: https://peec.ai/for-agencies
- Gemini visibility tracker: https://peec.ai/gemini-visibility-tracker
- Terms of Use for Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/legal/terms-of-use
- 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
- AI Visibility and Share of Voice Tracking - Peec AI: https://peec.ai/product/ai-visibility
- Trakkr | AI Visibility Platform for Brands & Agencies: https://trakkr.ai/
- Peec AI - Product, Agency Plans, and Enterprise Comparison Guide: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF_0hMehkA-gP_dY6yN5gXRbriqaciS6D8m2rfxcMbBOuhXZFdMw3JbnJSL1gE6Wcq2bRB0ycjQx1jGJvv1ZQpQqM6vZyrWfJsixj7SKRMU5S1M1CsDoxLlFB4=
- SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
- Track your brand across every AI platform: https://withmaya.ai/product/ai-visibility-tracking
- AI Brand Visibility Tool - See What AI Says About You: https://www.mentionlytics.com/product/ai-visibility/
Additional AI research evidence80 records
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:search-failed-1
- AI research evidence record anthropic:10-11
- AI research evidence record anthropic:13-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c3
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:13-8
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:8-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-1
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:8-11
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:8-6
- AI research evidence record anthropic:6-9
- AI research evidence record anthropic:19-1
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:17-4
- AI research evidence record openai:c4
- AI research evidence record perplexity:c7
- AI research evidence record deepseek:c2
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:41-3
- AI research evidence record openai:c2
- AI research evidence record google:1.3.3
- AI research evidence record kimi:search-failed-1
- AI research evidence record openai:c2
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:8-11
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:38-1
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:8-2
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:16-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.3.3
- AI research evidence record anthropic:28-8
- AI research evidence record anthropic:23-6
- AI research evidence record grok:1
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:c7
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:16-8
- AI research evidence record anthropic:44-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:9-11
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:4-4
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:5-10
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c4
- AI research evidence record anthropic:4-4
Independent Sources
- Peec AI Review 2026: Features, Pricing & Verdict: https://aiagentsquare.com/agents/peec-ai
- 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 & 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 Review (2026): The Best-Value AI Visibility Tracker?: https://dupple.com/learn/peec-ai-review
- 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
- Peec AI Review 2026: Pricing & Engine Limits - Geoptie: 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 2026: Pricing, Limits & Top Alternatives (Hands-On) - MaxAEO Blog: https://maxaeo.ai/blog/peec-ai-review-2026-best-for-ai-visibility-monitoring-use-cases-limits-alternatives/
- Peec AI MCP Server | Awesome MCP Servers: https://mcpservers.org/servers/docs-peec-ai-mcp-introduction
- Peec AI Review 2026: Pricing & Verdict | OrganiKPI: https://organikpi.com/blog/geo-ai-search/peec-ai-review/
- Peec AI Review 2026: Pricing & Verdict | OrganiKPI: https://organikpi.com/blog/reviews/peec-ai-review/
- Peec AI review — pricing, features, alternatives: https://theanswerenginereport.com/tools/peec-ai
- Track My Visibility vs Peec AI: Best AI Search Visibility Tool: https://trackmyvisibility.com/blogs/product/track-my-visibility-vs-peec-ai/
- Peec AI Architecture and Generative Engine Optimization Workflow Review: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEiiJTz8fWBUvZX0SznMbrDQOb3h1cHkI8UrMfnKVc2k36VNHpLopTVX_mbpH6tbXIDylUatZbzbuYbmxAxMqMaRJjmPTkbtXFYLMI36s7K67YdRNGGYoW0ABZymCIMllNmTHgXf6kO
- AI Search Visibility Metrics and Workflows in Peec AI: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEO75QMF918CrCWo8yPfBfy2xNdIaZG_Vu3x_JgZTVFwotRLuGU42eX_C3gbO7zPMB2w_KkcFjmwkbyyTKXZEPtapP2llvXbBciVg8QYtor8cDiJq8wqIw67vSnJXJB7ANU-iHT61_KAcY6kUYI
- Peec AI Search Visibility Feature Mapping & Pricing Updates: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGhfAFHBBXZqAW0R9eIWgUcALKeV15aWuSCEpaDsT2dGxnXffWUMlfLpGbfUR7pwdBnkvRzXnkOix6G2-KuUFDvfW_nb2rzXuTPAcAAnqW32q8NhHwjMJaRk-xVx3TtLwZL6qHEtDY=
- 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 Is It Worth It?: https://www.aipeekaboo.com/blog/peec-ai-review
- Peec AI Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10030058/Peec-AI/
- Peec AI – AI tool directory listing: https://www.futurepedia.io/tool/peec-ai
- Peec AI Pricing Overview - G2: https://www.g2.com/products/peec-ai/pricing
- Peec AI review: My honest thoughts about this AI tracker: https://www.marketermilk.com/blog/peec-ai-review
- Peec AI listing: https://www.toolify.ai/tool/peec-ai
- Peec AI Review: Does it live up to the AI visibility hype?: https://www.tryprofound.com/blog/peec-ai-review
- Peec AI Review: Is the Features & Price Worth It in 2026?: https://www.workduo.ai/blog/peec-ai-review
Additional AI research evidence80 records
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:search-failed-1
- AI research evidence record anthropic:10-11
- AI research evidence record anthropic:13-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c3
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:13-8
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:8-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-1
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:8-11
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:8-6
- AI research evidence record anthropic:6-9
- AI research evidence record anthropic:19-1
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:17-4
- AI research evidence record openai:c4
- AI research evidence record perplexity:c7
- AI research evidence record deepseek:c2
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:41-3
- AI research evidence record openai:c2
- AI research evidence record google:1.3.3
- AI research evidence record kimi:search-failed-1
- AI research evidence record openai:c2
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:8-11
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:38-1
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:8-2
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:16-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.3.3
- AI research evidence record anthropic:28-8
- AI research evidence record anthropic:23-6
- AI research evidence record grok:1
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:c7
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:16-8
- AI research evidence record anthropic:44-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:9-11
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:4-4
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:5-10
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c4
- AI research evidence record anthropic:4-4
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
- 44
- Ranking mentions
- 4 of 7
- Platform share
- 57%
- Final consensus rank
- #3
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
29 independent · 15 company-owned
Evidence support
36 direct · 7 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 3e2ec94bc4db2929e26d6bf4241859775d5c84fc0d992a81af450ab3eb84a255