Answer Capsule
Peec AI is a strong fit for U.S. AI search agencies that need a repeatable, multi-client AI visibility audit layer rather than a managed consulting engagement. Three of the seven platforms in this study named Peec AI during ranking discovery — deepseek, kimi, and openai — each at rank 2, giving it an average listed rank of 2.0 and a 42.9% share of included platform responses. The strongest reason to consider it is its agency-specific architecture: unlimited client seats, isolated client workspaces, daily prompt tracking across six AI channels, citation and source analysis, competitor benchmarking, and Looker Studio, API, MCP, and CSV reporting paths [1]. The main limitation is that Peec AI is measurement software, not a managed audit service, and its public pricing, tier-level feature gates, model coverage, and contract terms conflict across sources and require direct verification [4].
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 7 included platforms (deepseek, kimi, openai) |
| Share of included platform responses | 42.9% |
| Average listed rank | 2.0 |
| Best listed rank | 2 |
| Relevant product/model/plan | Agency tier — Essential, Growth, or Scale — with Peec MCP, API, Looker Studio, CSV exports, multi-client projects, and daily tracking |
| Overall use-case fit | Strong, conditional on verifying price, tier gates, model coverage, and contract terms |
| Research date | 2026-09-18 |
Why Peec AI Qualified for This Study
Questions This Section Answers
- Is Peec AI a good choice for AI Search Agencies for AI Visibility Audits?
- How many AI platforms named Peec AI during ranking discovery for AI visibility audits?
Peec AI qualified because three of the seven included platforms named it during ranking discovery for AI visibility audits, and all three placed it at rank 2. That produces an average listed rank of 2.0, a best listed rank of 2, and a 42.9% share of included platform responses. The platforms that named it were deepseek, kimi, and openai.
Qualification is not the same as endorsement. All seven included platforms evaluated Peec AI's fit for this use case, but only three named it during the ranking stage. The remaining four platforms — anthropic, google, grok, and perplexity — produced fit research without placing Peec AI in their ranking output. Their fit ratings still matter: anthropic, deepseek, grok, and kimi rated the fit "strong," google rated it "good," and perplexity rated it "mixed."
The ranking-stage evidence also produced three different descriptions of the relevant plan. One platform pointed to an agency tier with MCP, API, and Looker Studio integration; another pointed to Growth or Scale; a third referenced a Starter plan at €89/month or higher for API and Looker Studio access. That third description does not match the current agency page, which presents Essential, Growth, Scale, and Custom annual configurations without public monetary prices [7]. Buyers should treat the €89/month Starter reference as unverified for agency use.
This review sits inside a broader comparison of AI Search Agencies for AI Visibility Audits, where Peec AI is one of several providers evaluated against the same audit criteria.
The Product, Model, Plan, or Service Most Relevant to AI Search Agencies for AI Visibility Audits
Questions This Section Answers
- Which Peec AI plan should an agency choose for multi-client AI visibility audits?
- Does Peec AI's agency tier include API, MCP, and Looker Studio access for client reporting?
The relevant offering is the Peec AI agency tier, most commonly described as Essential, Growth, or Scale, with a Custom tier for enterprise agencies. The agency page presents these as annual configurations defined by credits: Essential at 10,000 credits, Growth at 25,000 credits, Scale at 65,000 credits, and Custom at unlimited credits [8]. Growth is positioned for roughly 3–10 clients and Scale for roughly 11–25+ clients [8].
Every agency tier is described as including unlimited client seats, Peec MCP, API, all six channels, Looker Studio, CSV exports, and daily tracking, with no per-seat fees [9]. The agency page states that only volume (credits, projects, pitch projects) and advanced features (API, multi-country, SSO) scale with tier (official:C1). That statement conflicts with other page sections suggesting API, multi-country, SSO, and advanced features may be gated by tier, so the inclusion list should be confirmed in the order form [8].
Each client is an isolated project with its own prompts, competitors, and channels, and account managers switch clients without separate logins (official:C1). Every agency plan also includes free 7-day pitch projects that sit outside the paying-client quota and convert to a client project in three clicks [12].
For agencies that want to compare this structure against other providers in the category, the ai search geo agencies directory lists the wider field.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Peec AI does well for AI visibility audits?
- Is Peec AI's citation tracking strong enough to anchor an agency audit deliverable?
The platforms broadly agreed on four things: agency-specific architecture, multi-platform daily tracking, citation and source analysis, and reporting integrations.
On agency architecture, the agreement was strong. The agency page describes unlimited client workspaces with no per-seat fees, isolated per-client projects, and one-click client switching (official:C1). Multiple platforms repeated this: unlimited client seats and isolated workspaces [13], agency-first design rather than retrofitted brand plans [14], and unlimited client workspaces with no per-seat fees [15].
On coverage, the agency page states that agency plans track six channels: ChatGPT, Claude, Perplexity, Google AI Overviews, Google AI Mode, and Gemini [16]. Independent reviews describe standard coverage as ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, and Microsoft Copilot [17]. The two lists overlap but are not identical, and the exact contracted model list should be confirmed.
On citation analysis, agreement was strong and specific. Peec AI distinguishes sources used by an AI system from URLs explicitly cited in the visible answer, and reports source usage at domain and URL level [18]. Independent reviews describe the same "used vs. cited" differentiation as a core differentiator [19], and citation rate — the percentage of tracked prompts where an LLM cites your site — is described as the primary KPI the platform is built to track [20].
On reporting, the agency page describes a Data Studio (Looker Studio) template that can be cloned per client and shared as read-only links clients open without a Peec login, plus CSV exports and API feeds into BigQuery, Tableau, or Power BI (official:C1). MCP is described as connecting visibility data to Claude, Cursor, n8n, or Make for scheduled reporting loops [15].
Agreement among AI platforms does not establish product quality. These are largely company-owned claims repeated across platform responses, and company-owned citations materially outnumber independent ones in this evidence set.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is Peec AI's agency pricing actually published, or does it require a custom quote?
- Does Peec AI include sentiment tracking and API access on all agency tiers?
Disagreement clustered around pricing, tier gates, sentiment, and model coverage.
Pricing produced the widest spread. One platform reported agency pricing starting at $245/month and rising to $1,195/month with a roughly 15–16% monthly-to-annual discount [22]. Another reported Essential at €205/month, Growth at €425/month, and Scale at €675/month [23]. Another reported Essential $245/month, Growth $495/month, and Scale $795/month [24]. Another reported the same USD figures [25]. The current agency page presents the same tier names with credit volumes but no public monetary prices [26]. The €89/month Starter figure appears only in a competitor comparison table [27] and was not verified on the agency page.
Tier gates were unresolved. One source says API, MCP, and SSO are Comprehensive-only, while the agency page says every paid plan includes MCP [29]. One source says Looker Studio is available from Growth up, another says it requires Advanced or Enterprise, and the agency page says all tiers include it [29]. Developer documentation notes the Peec Customer API is in beta and limited to Enterprise plans [31], while the agency page states API is included on Essential and above (official:C1). These conflicts are unresolved in the supplied evidence.
Sentiment tracking was disputed. Peec's own materials claim sentiment tracking [32], while a competitor comparison table states Peec tracks citations only, not sentiment [27].
Model coverage varied by source. One review says Starter, Pro, and Advanced customers choose three models from a set including ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini [34]. Another says full model access including Claude Sonnet, GPT-5 Search, and DeepSeek is restricted to Enterprise, with add-ons at €35–€165/month [35]. One platform reported Claude tracking as "will be added soon" with no confirmed launch date [36]. Another reported custom tiers supporting up to 11 models [37].
Security posture was reported as incomplete. As of 2026, Peec does not publicly list SOC 2 Type II or other enterprise security certifications [38].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Peec AI cover all seven audit criteria an agency needs for AI visibility audits?
- Can Peec AI produce client-ready dashboards without per-seat costs?
Peec AI covers all seven configured audit criteria, with the strongest evidence on citation tracking and the weakest on historical depth.
| Audit criterion | Assessment | Evidence |
|---|---|---|
| Multi-platform coverage | Advantage | Six channels tracked daily with no per-channel add-on fees |
| Prompt tracking | Advantage | Daily execution per model; mention rate, average position, citations, sentiment per prompt |
| Recommendation and mention measurement | Advantage | Visibility, position, sentiment, share of voice, mention frequency, and AI shopping/product recommendation metrics where applicable |
| Citation tracking | Advantage | Used vs. cited source differentiation at domain and URL level |
| Competitor benchmarking | Advantage | Same-prompt comparison of visibility, position, sentiment, and share of voice |
| Historical trend reporting | Mixed | Daily tracking and week-over-week comparison stated; total retention depth not specified |
| Executive-ready dashboards | Advantage, with caveats | Looker Studio templates, CSV, API, MCP; no native white-label portal |
The Actions feature prioritizes content, editorial, reference-site, and UGC opportunities based on citation and competitor gaps [39]. Independent reviews characterize this as prioritization rather than execution: Peec tells you what is happening but does little to fix it, with no content generation and no audit that hands you specific changes [40]. A separate review notes the platform lacks automated execution or writing agents, requiring manual workflow completion [41].
Reporting has a documented limitation. White-label reporting is not natively available as an in-platform branded portal; agencies build custom Looker Studio templates or use Enterprise API access [42]. The Looker Studio connector requires Google Data Studio knowledge, which may challenge teams without BI expertise [42]. ROI attribution is described as limited and requiring custom engineering, with no native click-to-visibility or revenue-attribution pipeline [42]. The agency page does describe a documented MCP workflow that groups funnel events by AI origin across page view, CTA click, signup, verification, and upgrade to produce a weekly attribution report (official:C1) — a company claim that should be tested against a real client dataset.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Peec AI's agency tier cost per month, and is the price publicly listed?
- Are there setup, add-on, or overage fees beyond the Peec AI agency plan price?
Pricing is the least settled part of this evaluation. The current agency page presents Essential, Growth, Scale, and Custom as annual configurations defined by credits — 10,000, 25,000, 65,000, and unlimited respectively — without exposing monetary prices [43]. Independent and platform-reported figures vary widely.
| Source type | Essential | Growth | Scale | Custom |
|---|---|---|---|---|
| Independent review | €205/mo (~111 prompts, 3 projects) | €425/mo (~277 prompts, 10 projects) | €675/mo (~722 prompts, 25 projects) | Not stated |
| Independent review | $245/mo | — | Up to $1,195/mo | Not stated |
| Platform-reported | $245/mo | $495/mo | $795/mo | Custom |
| Platform-reported | $245/mo | $495/mo | $795/mo | Custom |
| Competitor comparison | €89/mo "Starter" | Not stated | Not stated | Quote-based |
Additional fees reported include extra AI model add-ons at €35/month (Starter), €85/month (Pro), and €165/month (Advanced) [44], or $30–$140/month per model on self-serve tiers [45]. One source states no per-channel add-on fees apply to the agency offering [43]. Multi-country tracking is reported as included on Pro and above [44], while the agency page lists multi-country as an advanced feature that scales with tier (official:C1).
Contract terms are also inconsistent. One source reports monthly billing available with a 15% premium versus annual contracts, credit allocations that stay with a project until reassigned, no monthly burn or expiration on unused credits, and no documented minimum term [44]. Another reports no long-term contracts and cancel-anytime terms for agency plans [46]. The agency page labels displayed configurations as annual [43]. Cancellation, renewal, refund, overage, unused-credit rollover, data-retention, and downgrade terms were not located on the reviewed public pages [43].
Agency-side costs are not included in the software price: Looker Studio administration, API data pipelines, reporting automation, analysis, and consulting are separate [43]. Pricing confidence across the supplied evidence ranges from low to high depending on the platform, which is itself a signal that buyers should obtain a written quote before committing.
Best Suited For
Questions This Section Answers
- Which agencies get the most value from Peec AI for AI visibility audits?
- Is Peec AI worth it for an agency managing 3–25 clients across multiple AI platforms?
Peec AI is best suited to boutique and mid-sized agencies running recurring, multi-client AI visibility audits. The strongest fits reported across platforms:
- Agencies managing roughly 3–25+ clients that need daily automated tracking across six AI channels [47].
- Teams that need citation source analysis and prompt-level visibility metrics for client reporting [49].
- Agencies building client-ready dashboards through Looker Studio without per-seat costs [47].
- Agencies using free 7-day pitch projects to run competitive AI visibility audits before prospect meetings [51].
- Teams piping AI visibility data into Claude, n8n, or custom workflows through MCP and API [52].
- Agencies focused on GEO/AEO optimization for brands seeking AI-driven traffic opportunities [47].
The common thread is repeatability. Peec AI's value compounds when the same prompt library runs daily across many clients and the agency supplies its own interpretation, recommendations, and implementation.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Peec AI for AI visibility audits?
- Is Peec AI suitable for agencies that need content production or managed consulting?
Peec AI is probably not the right choice for buyers whose audit need is really an execution or consulting need.
- Agencies seeking AI-powered content creation or publishing workflows. Peec is measurement-only, not execution-oriented [54].
- Enterprises requiring SOC 2 Type II or advanced security certifications. Peec lacks public security attestations as of 2026 [56].
- Organizations needing white-label reporting without custom configuration or Enterprise API access [54].
- Agencies wanting ROI attribution without custom engineering; native traffic attribution is limited [54].
- Teams tracking 500+ daily prompts without escalating to custom contracts; prompt limits fill quickly at scale [54].
- Buyers requiring fully automated diagnostic guidance and content recommendations beyond citation insights [55].
- Single-brand SMBs seeking a low-cost entry point, where entry pricing is higher than some alternatives [57].
- Agencies requiring integrated Google SERP or backlink analysis; Peec is AI-visibility-only [57].
The platform's own terms reinforce this boundary: the service monitors and analyzes prompts, sentiment, incorporated content, and citations, but does not guarantee improved visibility or provide strategic advice beyond expressly described functionality [59].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Peec AI for an agency that needs content execution alongside AI visibility tracking?
- When should an agency choose a managed audit provider instead of Peec AI software?
Several alternatives were named for specific buyer situations.
- When the buyer needs AI-native content generation or publishing, Writesonic GEO, Copysmith, or integrated content-plus-visibility platforms were suggested [60].
- When white-label reporting is the core requirement, Profound's custom Enterprise tier or platforms with native white-label dashboards were suggested [60].
- When SOC 2 Type II and enterprise security certifications are mandatory, Profound, Cairrot, or enterprise-grade competitors were suggested [60].
- When a native SEO-to-AI pipeline is needed, Semrush, Ahrefs Brand Radar, or SEO-native AEO add-ons were suggested [60].
- When tracking 1,000+ daily prompts cost-effectively, custom contracts or volumetric platforms such as geotoolbox, Scrunch, or AthenaHQ were suggested [60].
- When one-platform execution is required, Writesonic, Scrunch, or Indexly were suggested [60].
- When page-level AEO readiness diagnostics are needed, Profound, Scrunch, or diagnostic-focused tools were suggested [60].
- When a lower entry price is the priority, Optiseo at $79/month or Appearly from $49/month were named [61].
- When a one-time human-delivered audit is preferred over a subscription, TriRank's $399 one-time audit with execution was named [62].
- When simple per-prompt pricing matters, SE Visible at $49–$149/month with specific prompt limits was named [63].
- When a low-cost one-off audit is enough, VisibAI's free audit, €29 one-off, and €79 Pro tiers were named [64].
These are platform-reported alternatives, not independently benchmarked comparisons. Buyers should evaluate them against the same criteria used here.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Peec AI before signing an agency contract?
- Which Peec AI tier details are unresolved in public sources?
The supplied evidence leaves several items unresolved. Buyers should get written answers before signing.
- What is the exact annual and monthly-equivalent price for Essential, Growth, Scale, and Custom for a U.S. agency? [65]
- Is the €89/month Starter price still available, and does it include agency rights, API access, Looker Studio, MCP, and multi-client projects? [66]
- Which models and channels are included in the quoted tier, and which require paid upgrades? [67]
- How are credits consumed by prompts, models, geographies, reruns, exports, and historical queries? [68]
- What are the maximum client projects, prompts, competitors, countries, and users for the selected tier? [65]
- How long is historical data retained, and can the agency export raw chats, sources, citations, and trend data after cancellation? [65]
- What are API quotas, rate limits, authentication requirements, webhooks, and MCP security controls? [70]
- Are Looker Studio dashboards genuinely white-label and shareable without Peec logins for all client projects? [68]
- What are the annual renewal, cancellation, refund, downgrade, overage, and unused-credit policies? [65]
- How does Peec validate citation accuracy, sentiment classification, position ranking, and geographic/model reproducibility? [72]
- Can the platform distinguish retrieved, used, and visibly cited sources consistently across each model? [72]
- What U.S. data-processing, privacy, subprocessor, and client-data terms apply to agency and client projects? [65]
- Is API access included on Essential, Growth, and Scale, or restricted to Enterprise? [70]
- Is sentiment scoring applied per response or only at aggregate prompt level? [66]
- What is the current timeline for SOC 2 Type II or other enterprise certifications? [74]
Final AI Consensus Verdict
Peec AI is a strong fit for U.S. AI search agencies conducting AI visibility audits, with one material qualification: the fit is conditional on verifying price, tier gates, model coverage, and contract terms before purchase.
Three of seven included platforms named Peec AI during ranking discovery, all at rank 2, producing an average listed rank of 2.0 and a 42.9% share of included platform responses. Fit ratings across all seven platforms were strong for anthropic, deepseek, grok, kimi, and openai; good for google; and mixed for perplexity. The mixed rating came from unresolved conflicts about which agency plan includes API, Looker Studio, and MCP access.
The strongest evidence supports the core audit workflow: six-channel daily tracking, prompt-level mention and position measurement, used-versus-cited source analysis, competitor benchmarking, and Looker Studio, API, MCP, and CSV reporting paths [75]. The clearest limitation is scope: Peec AI measures visibility but does not generate content, execute fixes, or attribute traffic to visibility gains without custom engineering [78].
Buyers should treat the pricing table in this review as a range of platform-reported figures, not a settled price list, and should obtain a written quote covering credits, model inclusions, API limits, data retention, and cancellation terms before committing.
How This Review Was Produced
This review was produced from a structured multi-platform research run dated 2026-09-18. Seven platforms — anthropic, deepseek, google, grok, kimi, openai, and perplexity — were asked to recommend AI search agencies for AI visibility audits and to evaluate Peec AI's fit for that use case. Three platforms named Peec AI during ranking discovery; all seven produced fit research.
Platform-reported dates are provenance metadata and do not independently prove freshness. All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned citations materially outnumber independent citations in this evidence set, so company claims are not described as independently verified. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.
Methodology Limitations
- Public pricing is not transparent enough to calculate cost per client, prompt, model, or audit [81].
- The agency page contains duplicated and partly inconsistent statements about which features are included in every tier versus which advanced features scale by tier [81].
- Peec AI is measurement software, not a substitute for independent strategy, content production, digital PR, technical implementation, or client-side validation [82].
- No independent source reviewed here validates Peec's accuracy, model coverage, recommendation quality, or customer outcomes [81].
- AI-platform behavior is dynamic; daily prompt sampling is not the same as measuring all real-world AI interactions [83].
- Exact geographic controls, historical retention, export limits, API rate limits, and model-specific methodology remain unclear [81].
- Conflicting public information exists on whether API, Looker Studio, and MCP are included on agency plans or only on higher tiers [84].
- Sentiment tracking depth is disputed between Peec's own materials and a competitor comparison table [85].
- No verified public SLA, security, or contract-term detail was found in the checked sources [84].
- Platform coverage for the exact AI search and recommendation surfaces relevant to audits is not fully documented in the sources reviewed [84].
- One platform's research ran without search enabled, so its claims are model-reported rather than retrieved.
Sources
Company-Owned Sources
- Introduction to Peec API - Peec.ai Docs: https://docs.peec.ai/mintlify-assets/_mintlify/favicons/peecai-b61a1960/zMn2L1kVVj65q3Df/_generated/favicon/android-chrome-192x192.png
- VisibAI — AI Visibility Audit | Check if ChatGPT knows you exist: https://getvisibai.com/
- AI Visibility Dashboard - Optiseo: https://optiseo.com/ai-visibility-dashboard/
- Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/
- Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/ai-instructions
- AI Search Visibility Tracking for Marketing Agencies | Peec AI: https://peec.ai/for-agencies
- Terms of Use for Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/legal/terms-of-use
- AI Search Analytics for Marketing Teams - Peec AI: https://peec.ai/pricing
- Peec AI Agency Pricing: Plans Built for Multi-Brand Tracking: https://peec.ai/pricing-agencies
- Actions: Improve Your Brand's Visibility in AI Search | Peec AI: https://peec.ai/product-actions
- White label client report - Peec AI MCP Use Case: https://peec.ai/product/agent-analytics
- Peec AI - AI Visibility and Share of Voice Tracking: https://peec.ai/product/ai-visibility
- AEO / AI Visibility Audit — $399 one-time | TriRank: https://trirankai.com/audit
- SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
Additional AI research evidence87 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record kimi:peec-agency-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:20-6
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record deepseek:peec-agencies
- AI research evidence record kimi:peec-agency-1
- AI research evidence record anthropic:1-20
- AI research evidence record anthropic:1-4
- AI research evidence record deepseek:peec-agencies
- AI research evidence record kimi:peec-agency-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:28-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:37-6
- AI research evidence record anthropic:33-2
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:4-3
- AI research evidence record anthropic:16-1
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c15
- AI research evidence record openai:c1
- AI research evidence record deepseek:optiseo
- AI research evidence record kimi:optiseo-compare-1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c3
- AI research evidence record google:1.2.2
- AI research evidence record openai:c2
- AI research evidence record deepseek:peec-agencies
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:1-4
- AI research evidence record kimi:peec-agency-1
- AI research evidence record google:1.3.5
- AI research evidence record anthropic:20-6
- AI research evidence record openai:c4
- AI research evidence record anthropic:5-9
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:1-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record google:1.3.5
- AI research evidence record deepseek:peec-agencies
- AI research evidence record anthropic:1-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-20
- AI research evidence record kimi:peec-agency-1
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:1-4
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:20-6
- AI research evidence record deepseek:optiseo
- AI research evidence record kimi:peec-agency-1
- AI research evidence record openai:c5
- AI research evidence record anthropic:1-4
- AI research evidence record deepseek:optiseo
- AI research evidence record kimi:trirank-audit-1
- AI research evidence record kimi:se-visible-1
- AI research evidence record kimi:visibai-1
- AI research evidence record openai:c1
- AI research evidence record deepseek:optiseo
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:1-4
- AI research evidence record deepseek:peec-agencies
- AI research evidence record google:1.2.2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record kimi:optiseo-compare-1
- AI research evidence record anthropic:20-6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:37-6
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:1-4
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:peec-agencies
- AI research evidence record deepseek:optiseo
- AI research evidence record anthropic:20-6
Independent Sources
- Peec AI - Awesome MCP Servers: https://api.peec.ai/mcp
- Peec AI Review & Pricing Comparison: https://cairrot.com/alternatives/peec-ai-review-pricing-comparison-alternatives/
- 7 Best Peec AI Alternatives for B2B SaaS (2026 Pricing Compared: https://derivatex.agency/blog/peec-ai-alternatives-b2b-saas/
- Peec AI review: citation tracking for competitive intelligence and content optimisation: https://discoveredlabs.com/blog/peec-ai-review-citation-tracking
- What Is Peec AI? Features, Pricing, and Alternatives (2026: https://geotoolbox.ai/blog/what-is-peec-ai
- Peec AI Review (2026) - Pricing, Features, Pros & Cons: https://trakkr.ai/reviews/peec-review
- 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
- What Is Peec AI? AI Search Analytics Platform - Ansvisor: https://www.ansvisor.com/ai-visibility-glossary/peec-ai
- Best AI Citation Tracking Tools for AI Visibility (2026: https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-citation-tracking
- PEEC AI Review & Alternatives | Best AI Search Monitoring Tool?: https://www.youtube.com/watch?v=nCn5ZvpVcGg
- Peec AI Review (2026): Is It the Best AI Search Analytics Tool?: https://www.youtube.com/watch?v=WgMxltfg6es
Additional AI research evidence87 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record kimi:peec-agency-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:20-6
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record deepseek:peec-agencies
- AI research evidence record kimi:peec-agency-1
- AI research evidence record anthropic:1-20
- AI research evidence record anthropic:1-4
- AI research evidence record deepseek:peec-agencies
- AI research evidence record kimi:peec-agency-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:28-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:37-6
- AI research evidence record anthropic:33-2
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:4-3
- AI research evidence record anthropic:16-1
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c15
- AI research evidence record openai:c1
- AI research evidence record deepseek:optiseo
- AI research evidence record kimi:optiseo-compare-1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c3
- AI research evidence record google:1.2.2
- AI research evidence record openai:c2
- AI research evidence record deepseek:peec-agencies
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:1-4
- AI research evidence record kimi:peec-agency-1
- AI research evidence record google:1.3.5
- AI research evidence record anthropic:20-6
- AI research evidence record openai:c4
- AI research evidence record anthropic:5-9
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:1-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record google:1.3.5
- AI research evidence record deepseek:peec-agencies
- AI research evidence record anthropic:1-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-20
- AI research evidence record kimi:peec-agency-1
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:1-4
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:20-6
- AI research evidence record deepseek:optiseo
- AI research evidence record kimi:peec-agency-1
- AI research evidence record openai:c5
- AI research evidence record anthropic:1-4
- AI research evidence record deepseek:optiseo
- AI research evidence record kimi:trirank-audit-1
- AI research evidence record kimi:se-visible-1
- AI research evidence record kimi:visibai-1
- AI research evidence record openai:c1
- AI research evidence record deepseek:optiseo
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:1-4
- AI research evidence record deepseek:peec-agencies
- AI research evidence record google:1.2.2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record kimi:optiseo-compare-1
- AI research evidence record anthropic:20-6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:37-6
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:1-4
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:peec-agencies
- AI research evidence record deepseek:optiseo
- AI research evidence record anthropic:20-6
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 27
- 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
12 independent · 15 company-owned
Evidence support
25 direct · 2 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 4b509e38170486d8df1932fb3e5308de86eda9e0dc0be64da8700e44d7a672ca