Answer Capsule
Peec AI is a good fit for agencies that need multi-client AI-search visibility tracking, competitor benchmarking, citation analysis, and client-ready reporting. Six of the seven platforms that evaluated fit named Peec AI during the ranking stage, and it finished first overall with an average listed rank of 1.67 and a best rank of 1. The strongest reason to consider it is a purpose-built agency architecture: isolated client projects, unlimited client seats, credit-based scaling, free 7-day pitch projects, and Peec MCP reporting automation included on paid plans [1]. The main limitation is unresolved commercial detail — public pages conflict on pricing, plan entitlements, white-label scope, and security certification, so buyers must verify terms in writing before committing [1].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 6 of 7 platforms named Peec AI (anthropic, deepseek, google, grok, kimi, openai) |
| Share of included platform responses | 85.7% |
| Average listed rank | 1.67 |
| Best listed rank | 1 (google, kimi) |
| Relevant product/model/plan | Peec AI dedicated Agency plans: Essential, Growth, Scale, Comprehensive |
| Overall use-case fit | Good — strong agency architecture, conditional on pricing and entitlement verification |
| Research date | 2026-09-19 |
Why Peec AI Qualified for This Study
Questions This Section Answers
- Is Peec AI a good choice for AI Visibility Platforms for Agencies?
- How consistently did AI platforms rank Peec AI for agency AI visibility use cases?
Peec AI qualified because it was named by six of the seven platforms that evaluated fit, and it ranked first overall in the agency use case. Google and Kimi both placed it at rank 1; Anthropic, DeepSeek, Grok, and OpenAI placed it at rank 2 [6]. That is strong but not unanimous agreement — DeepSeek's assessment was explicitly mixed because its retrieval of the official agency page failed, leaving agency-specific claims unverified in its evidence set [10].
The qualification is also structural rather than incidental. Peec AI publishes a dedicated agency page and agency pricing tiers rather than repackaging brand plans, and multiple platforms cited that distinction directly [6]. Fit ratings split between "strong" (google, grok, kimi) and "good" (openai, anthropic, perplexity), with DeepSeek alone at "mixed."
This review sits inside a wider comparison of AI Visibility Platforms for Agencies, where Peec AI is one of several candidates evaluated against the same agency criteria.
The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Agencies
Questions This Section Answers
- Which Peec AI plan should an agency choose for managing multiple client workspaces?
- Does Peec AI's Agency plan include unlimited client seats and pitch projects?
The relevant offering is Peec AI's dedicated Agency plan line: Essential, Growth, Scale, and a custom Comprehensive tier. These are credit-based plans built for multi-brand tracking rather than single-brand subscriptions [12].
Peec AI's own agency page describes each client as an isolated project with its own prompts, competitors, and channels, with account managers switching clients in one click and no data mixing between clients (official:C1). The same page states every plan includes unlimited client seats with no per-seat pricing, and that every tier includes Peec MCP, API, all six channels, Looker Studio, CSV exports, and daily tracking, with only volume and advanced features scaling by tier (official:C1).
Independent reviews largely corroborate the architecture. AEO Labs called the combination of unlimited seats and per-brand projects "the most agency-shaped pricing we have seen in this category" [15]. Goodie's comparison noted that every Peec plan includes unlimited client seats so agencies do not pay per analyst or account manager [16], and that agency tiers are built around credit pools that can be split and reallocated across clients [17].
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree Peec AI does well for agencies?
- Is Peec AI's multi-client workspace model confirmed across independent reviews?
Agreement was strongest on four points.
Multi-client architecture. Platforms and independent reviews consistently describe isolated client projects, unlimited seats, and no per-seat fees [18]. This was the single most repeated strength.
Competitor benchmarking and citation analysis. Peec AI tracks visibility, position, sentiment, share of voice, competitors, and cited sources, with citation tracking identifying the exact URLs AI engines cite [18]. AI Marketers Pro called the competitive benchmarking tools "a particular highlight" [22].
Reporting and automation. Peec MCP is described as included free on every paid plan and connects Peec data to Claude, Cursor, n8n, or Make [24]. Peec documents a white-label client report workflow through MCP [27], and Looker Studio templates let agencies share read-only dashboards clients open without a Peec login [29].
Pitch projects. Every agency plan includes free 7-day pitch projects that sit outside the client project quota, convertible to a client project in three clicks while keeping the 7 days of history as a baseline [30].
Onboarding speed and usability. Independent reviews describe a clean interface and roughly 30-minute time-to-productivity [33].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- What pricing and entitlement conflicts should an agency resolve before buying Peec AI?
- Is Peec AI's white-label reporting native, or does it require MCP or Looker Studio?
Disagreement clustered around commercial and entitlement detail rather than core capability.
Pricing. Published figures diverge. One independent review cites agency pricing from $245/mo up to $1,195/mo [36]. Another lists Essential at €205 for 10,000 credits, Growth at €425 for 25,000, and Scale at €675 for 65,000 [37]. A third reports self-serve plans at $95, $245, and $495/mo with agency credit plans from $245 to $795/mo [38]. Google's assessment lists Essential at $245/month or $205/month billed annually, Growth at $495 or $420 annually, and Scale at $795 or $675 annually [39]. Perplexity converges on roughly $245, $495, and $795 for Essential, Growth, and Scale [40]. OpenAI's assessment states that current numeric prices were not consistently exposed on the reviewed agency page and rates pricing confidence as low [41].
Plan entitlements. Peec's agency page says every tier includes unlimited seats, MCP, API, all AI channels, Looker Studio, CSV, and daily tracking (official:C1). Other Peec pricing pages describe API, MCP, SSO, and some integrations as higher-tier or Comprehensive-only [41]. Perplexity's evidence says Scale and Comprehensive include API access, with Comprehensive adding dedicated support [42]. Kimi reports SSO and multi-country only on Scale [43]. Anthropic reports Looker Studio starting on an Advanced plan and multi-country starting on Pro [44]. These statements cannot all be simultaneously true, and the conflict is unresolved.
Client seat caps. Google's evidence flags a contradiction: some pages state all tiers feature unlimited client seats, while others explicitly cap direct dashboard client seats at 3 for Essential, 5 for Growth, and 7 for Scale [45]. Peec's own agency page says unlimited client seats with no per-seat fees (official:C1).
Model coverage. Anthropic reports base plans include only three AI models, with additional models as paid add-ons from €30 to €140 per model per month [46], and another source cites $35–$165/mo per additional engine with Claude and GPT-5 Search requiring Enterprise [48]. Kimi reports six channels tracked with no per-channel add-on fees and Claude not listed among them [43]. Peec's agency page states all six channels are included on every tier with no per-channel add-on fees (official:C1).
Historical data. One independent review states there is no retroactive data — only data from when tracking started [49]. Peec's agency page describes keeping 7 days of pitch-project history as a baseline on conversion [50]. Retention duration beyond week-over-week comparison was not specified in the reviewed materials [43].
Security certification. Peec states it is actively pursuing SOC 2 certification but does not offer it yet [51]. Independent reviews confirm Peec does not publicly list SOC 2 Type II as of 2026 and lacks HIPAA, SCIM, and public penetration testing reports [52]. One review notes Peec offers SSO login [55].
Agency partner economics. One review states Peec has dedicated agency tiers and pitch workspaces but no wholesale pricing programs, no white-label options, and no lead referral programs [56]. Another describes a formal Agency Partner Program with co-branded case studies, sales coaching, and a curated agency directory [57]. These are not reconciled.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Peec AI cover the prompt tracking, competitor benchmarking, and citation analysis an agency needs?
- What are Peec AI's content-access limitations for client visibility tracking?
Multi-client workspaces. Each client is an isolated project with independent prompts, competitors, and channels; account managers switch clients without separate logins [58]. Unlimited client seats are stated on every plan with no per-seat pricing [59].
Scalable prompt tracking. Agency tiers are credit-based, with published allocations of 10,000 credits for Essential, 25,000 for Growth, and 65,000 for Scale, plus a custom or unlimited Comprehensive tier [60]. One source frames Essential's 10,000 credits as roughly 111 daily prompts [63]. Google's evidence describes the credit formula as 1 credit = 1 prompt on 1 model for 1 day, or 30 credits/month [65]. Prompts run daily, which independent reviews describe as producing real trendlines rather than sporadic snapshots [66].
Competitor benchmarking. Brands can compare visibility trends against named competitors, industry averages, and percentile rankings derived from Peec's client data [68].
Citation and recommendation analysis. Peec tracks cited sources and the queries behind them, and its MCP documentation describes analysis across models, topics, countries, and dates [71]. Shopping-product recommendation analysis is described separately and may be most relevant to e-commerce clients [71]. Kimi notes that citation depth — such as author, publisher, and publication-date extraction — is less explicit than some competitors [58].
Reporting. Automated reporting, client-ready dashboards, CSV exports, Looker Studio workflows, and branded reporting through MCP are all described [71]. Reporting templates are described as organized by stakeholder audience, with white-label options for agencies [75]. Peec MCP is read-only at launch [76], and a public REST API exists at docs.peec.ai [77].
Historical and trend analysis. Week-over-week comparisons, historical periods, and trend analysis are described through agency and MCP workflows [71]. Retention duration and backfill policy were not clearly stated [71].
Coverage limitations. Peec's product documentation states that AI models primarily see HTML content and may not read paywalled or JavaScript-dependent content, which can create visibility gaps for some client content [72].
Content execution. Peec does not generate content; it focuses on monitoring and recommendations [79]. Independent reviews confirm there is no bundled content creation, optimization, or gap-closing automation [80].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Peec AI's Agency plan cost per month, and is annual billing required?
- What add-on fees should an agency budget for beyond Peec AI's headline agency tier price?
Published agency pricing is inconsistent across sources, and this is the single largest unresolved issue for buyers.
| Tier | Credits | Reported price | Source |
|---|---|---|---|
| Essential | 10,000 | ~$245/mo; €205; $205/mo annual | |
| Growth | 25,000 | ~$495/mo; €425; $420/mo annual | |
| Scale | 65,000 | ~$795/mo; €675; $675/mo annual | |
| Comprehensive | Custom/unlimited | Custom quote |
One independent review cites a wider range of $245/mo to $1,195/mo for agency pricing [81]. Another reports self-serve plans at $95, $245, and $495/mo by prompt count, with agency credit plans from $245 to $795/mo [82]. OpenAI's assessment states that current numeric prices were not consistently exposed on the reviewed agency page and rates pricing confidence as low [83]. Peec's pricing documentation states annual billing provides a 15% discount [84].
Add-on and additional fees. Anthropic reports per-model add-ons of $35–$165/month for coverage beyond a base of three models, with Claude and GPT-5 Search requiring Enterprise or Comprehensive [85]. Peec's agency page states all six channels are included on every tier with no per-channel add-on fees (official:C1). No per-seat fee is stated on the agency page [83]. Potential incremental cost may arise from higher credit volume, additional projects, higher model coverage, and custom enterprise configuration, with exact amounts unclear [83].
Contract and cancellation terms. Billing cadence is presented as monthly or annual in Peec pricing documentation, but cancellation, notice, renewal, refund, and overage terms were not clearly stated on the reviewed pages [83]. One source describes all tiers as annual with no month-to-month option visible [88], while Google's evidence describes a choice between flexible monthly or discounted annual contracts [89]. One source reports a 7-day free trial without a credit card [82]. Trial or setup-call availability appears to vary by tier, and buyers should verify whether a trial converts automatically and whether unused credits expire [83].
Best Suited For
Questions This Section Answers
- Which agencies get the most value from Peec AI's Agency plans?
- Is Peec AI worth it for a boutique agency managing 3–10 clients?
Peec AI is best suited to boutique and mid-sized GEO, AEO, SEO, content, and digital agencies managing multiple client projects [90]. Peec's own tier descriptions map Essential to agencies starting with AI Search and wanting to win first clients, Growth to boutique agencies managing 3–10 clients, and Scale to established agencies managing 11–25+ clients (official:C1).
It also fits agencies that need isolated client workspaces, unlimited team seats, recurring prompt tracking, competitor benchmarking, and branded reporting workflows [90]. Agencies that integrate Looker Studio or MCP-based custom reporting workflows are a particularly strong match [93]. Agencies that value fast onboarding and a clean interface also benefit — independent reviews describe roughly 30-minute time-to-productivity [95].
Agencies able to absorb per-model add-on costs for comprehensive LLM coverage should also consider it, provided they confirm which models are included on their chosen tier [97].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Peec AI for agency AI visibility work?
- Is Peec AI unsuitable for agencies that need SOC 2 certification or retroactive historical data?
Peec AI is probably not the best choice for enterprises requiring SOC 2 Type II certification or HIPAA compliance immediately, since Peec states it is actively pursuing SOC 2 but does not offer it yet [99].
It is also a weaker fit for agencies needing comprehensive white-label reporting without custom API or MCP integration, because native white-label portals are not clearly delineated from MCP-based workflows on lower tiers [102]. Budget-conscious agencies starting at very low entry cost should note that base plans cover a limited number of models and broader coverage requires add-ons [104].
Teams needing retroactive historical data or performance baselines prior to the tracking start date are also poorly served, since one independent review states no retroactive data is available [106]. Finally, agencies requiring bundled content creation, optimization automation, or full execution workflows should look elsewhere — Peec does not generate content and focuses on monitoring and recommendations [107].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Peec AI for an agency that needs native white-label reporting?
- When should an agency choose a different AI visibility platform instead of Peec AI?
Several platforms identified conditions under which an alternative is preferable.
Choose an alternative with independently published comparative benchmarks when procurement requires third-party validation [108]. Choose a platform with a clearly documented native white-label client portal when agencies do not want to assemble branded reporting through Looker Studio, exports, or MCP [108]. Choose a vendor with public, unambiguous API, SSO, retention, and overage terms when enterprise governance or predictable budgeting is decisive [108].
For enterprise buyers requiring SOC 2 Type II, HIPAA, or advanced security attestations immediately, one assessment positions Profound as better positioned [110]. For buyers needing retroactive historical baseline data prior to tracking start, one assessment notes Profound offers extended lookback while most competitors offer snapshots from sign-up only [112]. For budget-constrained agencies needing lower entry-level cost and broader model coverage without add-ons, one assessment points to Cairrot Starter at $39.90/month covering three engines, or Otterly AI's free trial [113].
Agencies needing bundled content creation, optimization, and task management may prefer platforms with action layers [109]. Agencies requiring crawler log analysis, technical SEO integration, or page-level readiness audits should note that Peec focuses on monitoring only [115]. Organizations needing dedicated implementation, AI strategist support, or an enterprise CSM relationship may find Peec skews toward self-serve [110]. One assessment also notes Peec lacks wholesale pricing, lead referral programs, and partner revenue share compared with some alternatives [109].
Questions to Verify Before Buying
Questions This Section Answers
- What should an agency confirm with Peec AI before signing an annual contract?
- Which Peec AI plan includes API, MCP, SSO, and white-label reporting?
The following questions are drawn from the verification lists supplied by the evaluating platforms and should be resolved in writing before purchase.
Plan entitlements. Which exact agency plan includes REST API, MCP, Looker Studio, SSO, all channels, multi-country tracking, and white-label dashboard or reporting capabilities [116]? Does Peec MCP write access require a specific tier, or is it included on all paid plans [117]? Are Claude and GPT-5 Search available on the Comprehensive agency tier, or Enterprise-only [118]?
Pricing and credits. What are the current monthly and annual prices, included projects, credit overages, minimum allocations, and credit-expiration rules [116]? How are credits calculated for each model, country, language, prompt, and daily versus weekly cadence [116]? What is the actual monthly cost for a representative use case — for example, 3 clients × 50 prompts each × 6 AI models tracked, including all model add-ons [120]?
Data and isolation. How long is historical data retained, and can raw answers, citations, sources, and trend data be exported in bulk [116]? Can client data be fully isolated by workspace, user role, permissions, and export scope [116]? Can Peec provide retroactive historical data or a longer lookback window for a new client onboarding [121]?
White-label scope. Are client-facing dashboards natively white-label, or must the agency use Looker Studio, MCP, API, or another external workflow [116]? Does "unlimited client seats" include external client logins or only internal team members [123]?
Commercial and compliance terms. What are the cancellation, renewal, refund, trial-conversion, SLA, support, and data-processing terms [116]? What is the current projected timeline for SOC 2 Type II certification, and will Peec commit to interim controls documentation [125]? Does the Agency Partner Program offer wholesale pricing discounts, referral lead passes, or revenue share, or is it co-marketing only [122]?
Coverage and references. Which AI engines, models, countries, languages, shopping surfaces, and citation types are supported today, and how quickly are new surfaces added [116]? How does Peec handle JavaScript-rendered, paywalled, or robots-restricted client content [128]? Can Peec provide an agency-specific sample report, data dictionary, API documentation, and references from comparable U.S. agencies [116]?
Final AI Consensus Verdict
Peec AI is a good fit for agencies seeking a dedicated multi-client AI-visibility platform with client isolation, scalable tracking, competitor and citation analysis, and automated reporting workflows [129]. Six of seven platforms named it, and it ranked first overall with an average listed rank of 1.67.
The recommendation remains conditional. Current pricing and feature entitlements are inconsistent across Peec's public pages, independent validation is limited, and key commercial terms — cancellation, overage, retention, and security certification — are not clearly published [129]. DeepSeek's assessment was explicitly mixed because official-site retrieval failed during its research [132].
Agencies should treat Peec AI as a strong candidate that requires direct verification of pricing, plan entitlements, white-label scope, model coverage, and SOC 2 status before signing. Where those terms resolve favorably, the agency architecture — isolated projects, unlimited seats, credit pooling, pitch projects, and free MCP reporting — is the clearest differentiator in this use case [133].
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms that evaluated Peec AI against the agency use case: Anthropic, DeepSeek, Google, Grok, Kimi, OpenAI, and Perplexity. Each platform supplied its own citations, fit rating, strengths, limitations, pricing findings, and verification questions. The study research date is 2026-09-19.
Platform-reported research dates differ: DeepSeek's assessment is dated 2026-06-11, while the other six platforms are dated 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.
Peec AI was named by six of the seven platforms during ranking discovery and finished first overall. Fit ratings split between "strong" (google, grok, kimi), "good" (openai, anthropic, perplexity), and "mixed" (deepseek).
No personal testing, hands-on trial, or independent verification was performed for this review. All findings are platform-reported evidence.
Methodology Limitations
- All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery.
- Citations are platform-reported evidence, not independently verified facts.
- The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
- Platform-reported research dates differ from the authoritative run date; DeepSeek's assessment predates the run date by roughly three months.
- Official-site retrieval failed for one or more mentions during the ranking stage, and no failed fetch was used as a verified domain key.
- Peec's agency pricing page and general pricing page were unavailable during official retrieval because the HTML exceeded the size limit, so official pricing excerpts could not be captured.
- Conflicting product names, pricing, and capabilities were not resolved by guessing; conflicts are described and buyers are directed to verify.
- Most available evidence is Peec-owned marketing, pricing, documentation, or blog content; independent validation of agency outcomes, measurement accuracy, and comparative performance was limited [135].
- No-search model claims require explicit verification before being described as current facts.
- The deterministic identity audit contains qualification notes that remain relevant to interpretation.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Peec AI for Agencies: Getting started: https://docs.peec.ai/agencies/agency-getting-started
- Peec AI for Agencies: Getting started: https://docs.peec.ai/agencies/understanding_credits
- Peec AI official materials reviewed: https://peec.ai/
- Peec AI Agency Directory and Services: https://peec.ai/agency-directory
- AI Search Analytics for Marketing Teams - Peec AI: https://peec.ai/ai-instructions
- Peec AI MCP - Peec AI: https://peec.ai/blog/peec-ai-mcp
- Peec AI Platform Comparisons: https://peec.ai/compare
- Peec AI vs Profound: Which is better? - Peec AI: https://peec.ai/comparison/peec-vs-profound
- AI Search Visibility Tracking for Marketing Agencies: https://peec.ai/for-agencies
- Peec AI MCP: https://peec.ai/mcp
- White label client report: https://peec.ai/mcp-use-cases/white-label-client-report
- Pricing for Peec AI: https://peec.ai/pricing
- Pricing for Agencies: https://peec.ai/pricing-agencies
Additional AI research evidence135 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-1
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:42-2
- AI research evidence record perplexity:c11
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-13
- AI research evidence record google:1.1.5
- AI research evidence record kimi:peec-1
- AI research evidence record deepseek:peec_agency_page
- AI research evidence record anthropic:24-9
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:10-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-7
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:32-3
- AI research evidence record openai:c5
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:29-6
- AI research evidence record anthropic:29-8
- AI research evidence record anthropic:29-9
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:18-4
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:24-1
- AI research evidence record google:2.1.5
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c15
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:23-2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:29-9
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:42-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:10-11
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:9-14
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:24-10
- AI research evidence record anthropic:24-11
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:26-9
- AI research evidence record anthropic:26-10
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:26-4
- AI research evidence record anthropic:32-10
- AI research evidence record anthropic:36-12
- AI research evidence record anthropic:36-18
- AI research evidence record google:1.3.3
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:24-1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:46-5
- AI research evidence record kimi:peec-1
- AI research evidence record google:2.1.5
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-7
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:18-4
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:42-10
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:41-14
- AI research evidence record google:1.3.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record google:1.3.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-10
- AI research evidence record anthropic:46-5
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:42-8
- AI research evidence record google:1.2.6
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:10-11
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-2
- AI research evidence record perplexity:c11
- AI research evidence record deepseek:peec_agency_page
- AI research evidence record anthropic:24-9
- AI research evidence record kimi:peec-1
- AI research evidence record openai:c6
Independent Sources
- Peec AI review: pricing, features & alternatives: https://agenticseotools.com/tools/peec-ai/
- Peec AI AEO Platform Review (2026): Compare Pricing & Features with Competing AEO Tools: https://cairrot.com/alternatives/peec-ai-review-pricing-comparison-alternatives/
- Peec AI Review: Features, Pricing & Alternatives (2026: https://coldiq.com/tools/peec-ai
- What Is Peec AI? Features, Pricing, and Alternatives (2026: https://geotoolbox.ai/blog/what-is-peec-ai
- Goodie vs. Peec AI: AEO Platform Comparison | Goodie: https://higoodie.com/blog/goodie-vs-peec-ai-aeo-tool-comparison/
- Understanding Peec AI Pricing: A Complete Overview: https://indexly.ai/blog/peec-ai-pricing/
- Profound vs Peec AI (2026): Neutral Comparison, Verified Pricing: https://metricusapp.com/blog/profound-vs-peec/
- Profound vs PEEC AI: The Ultimate GEO Platform Battle for 2026: https://nicklafferty.com/blog/profound-vs-peec-ai/
- Peec AI: features, pricing & how it compares to Publive AXP: https://publive.co/peec-ai-vs-publive-axp
- Peec AI Review (2026): Features, Pricing, and Fit: https://sevisible.com/peec-ai-review
- Peec AI MCP server: official, agent-fit 7/10 | TMB: https://thatmarketingbuddy.com/mcp/peec
- Peec AI Pricing: Plans, Prompt Limits & Agency Credits - Trakkr: https://trakkr.ai/reviews/peec-review/pricing
- 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 — AI Search Visibility Analytics | AI Marketers Pro: https://www.aimarketers.pro/guides/peec-ai-review
- Peec AI Review (2026): Pricing, Features, and Is It Worth It?: https://www.aipeekaboo.com/blog/peec-ai-review
- Peec AI review: My honest thoughts about this AI tracker | Marketer Milk: https://www.marketermilk.com/blog/peec-ai-review
- Peec AI Review 2026: Is It The Right GEO Tool For Your Brand?: https://www.scalenut.com/blogs/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 evidence135 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-1
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:42-2
- AI research evidence record perplexity:c11
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-13
- AI research evidence record google:1.1.5
- AI research evidence record kimi:peec-1
- AI research evidence record deepseek:peec_agency_page
- AI research evidence record anthropic:24-9
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:10-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-7
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:32-3
- AI research evidence record openai:c5
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:29-6
- AI research evidence record anthropic:29-8
- AI research evidence record anthropic:29-9
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:18-4
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:24-1
- AI research evidence record google:2.1.5
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c15
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:23-2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:29-9
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:42-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:10-11
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:9-14
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:24-10
- AI research evidence record anthropic:24-11
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:26-9
- AI research evidence record anthropic:26-10
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:26-4
- AI research evidence record anthropic:32-10
- AI research evidence record anthropic:36-12
- AI research evidence record anthropic:36-18
- AI research evidence record google:1.3.3
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:24-1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:46-5
- AI research evidence record kimi:peec-1
- AI research evidence record google:2.1.5
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-7
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:18-4
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:42-10
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:41-14
- AI research evidence record google:1.3.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record google:1.3.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-10
- AI research evidence record anthropic:46-5
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:42-8
- AI research evidence record google:1.2.6
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:10-11
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-2
- AI research evidence record perplexity:c11
- AI research evidence record deepseek:peec_agency_page
- AI research evidence record anthropic:24-9
- AI research evidence record kimi:peec-1
- AI research evidence record openai:c6
Other Sources
- Profound vs. Peec AI: Which AEO platform is right for your brand?: https://www.tryprofound.com/articles/profound-vs-peec-ai
Additional AI research evidence135 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-1
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:42-2
- AI research evidence record perplexity:c11
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-13
- AI research evidence record google:1.1.5
- AI research evidence record kimi:peec-1
- AI research evidence record deepseek:peec_agency_page
- AI research evidence record anthropic:24-9
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:10-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-7
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:26-1
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:32-3
- AI research evidence record openai:c5
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:29-6
- AI research evidence record anthropic:29-8
- AI research evidence record anthropic:29-9
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:18-4
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:24-1
- AI research evidence record google:2.1.5
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c15
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:23-2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:29-9
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:42-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:10-11
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:9-14
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:24-10
- AI research evidence record anthropic:24-11
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:26-9
- AI research evidence record anthropic:26-10
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:26-4
- AI research evidence record anthropic:32-10
- AI research evidence record anthropic:36-12
- AI research evidence record anthropic:36-18
- AI research evidence record google:1.3.3
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:24-1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:46-5
- AI research evidence record kimi:peec-1
- AI research evidence record google:2.1.5
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-7
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:18-4
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:42-10
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record anthropic:41-14
- AI research evidence record google:1.3.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-8
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:18-14
- AI research evidence record google:1.3.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-10
- AI research evidence record anthropic:46-5
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:41-14
- AI research evidence record anthropic:42-8
- AI research evidence record google:1.2.6
- AI research evidence record kimi:peec-1
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:42-10
- AI research evidence record anthropic:10-11
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:42-2
- AI research evidence record perplexity:c11
- AI research evidence record deepseek:peec_agency_page
- AI research evidence record anthropic:24-9
- AI research evidence record kimi:peec-1
- AI research evidence record openai:c6
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
- 33
- Ranking mentions
- 6 of 7
- Platform share
- 86%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
19 independent · 13 company-owned · 1 unclear
Evidence support
27 direct · 5 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 25b94d3294cf5719839dcff97b7c58484b4095ed5fd30c909cc1d16730a0fadf