Answer Capsule
Peec AI is a good fit for the diagnostic layer of AI Authority Building Solutions for Third-Party Corroboration, and a weak fit as a standalone solution. Two of seven platforms named Peec AI during ranking discovery — Google and Grok — and both placed it in their top six. The strongest reason to consider it is source-level citation intelligence: Peec AI separates sources an AI engine accessed from citations it displayed, classifies them by type, and scores competitor corroboration gaps. The main limitation is structural: every platform that reviewed it agreed Peec AI measures third-party corroboration but does not create, earn, or place it. Buyers need a separate execution capability.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (Google, Grok) |
| Share of included platform responses | 28.6% |
| Average listed rank | 4.5 |
| Best listed rank | 3 (Grok) |
| Relevant product/model/plan | Peec AI Brand/Agency Plan; Starter for smaller brand teams |
| Overall use-case fit | Good as a measurement and diagnostic layer; mixed-to-weak as an end-to-end authority-building solution |
| Research date | 2026-09-17 |
Why Peec AI Qualified for This Study
Questions This Section Answers
- Is Peec AI a good choice for AI Authority Building Solutions for Third-Party Corroboration?
- How many AI platforms recommended Peec AI for third-party corroboration tracking?
Peec AI qualified because two of the seven included platforms named it during ranking discovery, and both placed it inside their top six recommendations for this use case. Google ranked it sixth; Grok ranked it third [1]. That is a minority of the panel, not a consensus endorsement, and the ranking stage is discovery evidence rather than verified capability evidence.
The entity also qualified because the product's stated function maps directly onto the diagnostic half of this use case. Peec AI publicly positions itself as AI search analytics and monitoring for marketing teams, not as a managed authority-building or outreach service [3]. That positioning is what made it relevant to a study about identifying citation architecture and corroboration gaps — and it is also the reason several platforms downgraded its fit.
Five of the seven platforms did not name Peec AI in their ranking responses. Their fit research still evaluated it, and their verdicts ranged from "mixed" to "uncertain." DeepSeek and Kimi both reported that no retrievable source in their search results mentioned Peec AI at all, and both labeled the ranking-stage recommendation unverified [5]. That conflict is disclosed rather than resolved below.
The Product, Model, Plan, or Service Most Relevant to AI Authority Building Solutions for Third-Party Corroboration
Questions This Section Answers
- Which Peec AI plan should a buyer choose for tracking third-party citations across multiple AI platforms?
- Does Peec AI's Starter plan include enough AI models for third-party corroboration tracking?
The relevant offer is the Peec AI Brand plan family — Starter, Pro, and Advanced — plus a separate Agency pricing track for multi-client work. Platforms consistently pointed to Starter as the entry point for smaller brand teams and to the Agency plans for multi-brand corroboration tracking [7].
The capability that matters for this use case is source and citation tracking. Peec AI distinguishes between sources an AI engine accessed and citations explicitly shown in the answer, and it reports URLs, domains, source classifications, and separate brand visibility versus source visibility [10]. Independent reviews describe the same distinction and note that citation rate is the primary KPI the platform is built to track [12].
A second relevant capability is gap analysis. Peec AI describes gap analysis that identifies sources where competitors are cited but the tracked brand is not, including URL- and domain-level views and gap scoring [10]. Google's research describes a one-click gap analysis tool that filters prompts for instances where competitors are cited but the buyer's brand is missing [14]. Independent reviews describe a Gap Score that ranks third-party sites by urgency using retrieval frequency, citation rate, and competitor presence [15].
Model coverage is the main plan-level constraint. Peec AI states that brand plans cover ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot, Perplexity, and Gemini, while self-serve tiers generally allow selection of three models and charge for additional models [10]. Independent reviews report the same three-model default and paid add-ons [16]. One review notes an inconsistency between Peec's pricing page and its AI-instructions page on the exact enterprise model count and recommends getting the number in writing from sales [18].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Peec AI does well for third-party corroboration?
- Does Peec AI show which third-party sources AI systems actually cite?
The clearest cross-platform agreement is that Peec AI is strong at source-level citation intelligence. Google, Grok, OpenAI, Anthropic, and Perplexity all described source or citation tracking as a core strength, though with different levels of detail and confidence [19].
Platforms agreed on the accessed-versus-cited distinction. Peec AI reports both the sources an AI model accessed and the citations explicitly referenced in response text, which lets a buyer separate "the engine read this" from "the engine showed this to the user" [24]. Independent reviews confirm the platform shows which specific URLs are cited by AI when mentioning a brand or its competitors [26].
Platforms agreed on corroboration-gap discovery. Peec AI surfaces third-party citations and produces a prioritized list for investment [27]. High Gap Scores are described as a way to prioritize which third-party sites to target with authority-building campaigns [28]. Google's research frames the same feature as pointing out immediate third-party authority building opportunities [29].
Platforms agreed on the measurement window. All plans include daily prompt execution, which supports before-and-after trend measurement after authority work [30]. Peec AI also integrates with Google Analytics through an AI Referrals feature and processes server logs through Crawl Insights to correlate LLM bot activity with referral traffic [31].
Platforms agreed on the execution gap. This is the strongest consensus in the entire evidence set. Independent reviews state that Peec AI is monitoring-only and does not help with execution of authority-building [33]; that it is not built for content creation, content optimization, technical audits, or full SEO execution [34]; that it is report-only and watching dashboards does not move citation position [35]; and that it tells you where you are not appearing but does not create content or build the authority needed to change that [36]. Google's research states Peec AI reports and recommends but does not generate content [37].
Agreement among AI platforms is not evidence of product quality. It is evidence that these platforms surfaced similar public material.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did some AI platforms rate Peec AI as uncertain for third-party corroboration?
- Is Peec AI's fit for third-party corroboration verified or unverified?
Fit ratings diverged sharply. Grok rated Peec AI a "strong" fit. OpenAI, Google, and Perplexity rated it "good." Anthropic rated it "mixed." DeepSeek and Kimi both rated it "uncertain" [38].
The uncertainty was a retrieval failure, not a negative finding. DeepSeek reported that none of its eight crawled sources mentioned Peec AI by name, that the official website was not successfully retrieved, and that the ranking-stage recommendation therefore remained unverified [43]. Kimi reported the same: the official website could not be fetched, no independent source documented Peec AI's approach to citation architecture or corroboration gap analysis, and the euro-denominated pricing raised questions about US-market availability [44]. The deterministic audit confirms that official-site retrieval failed for at least one mention because the HTML exceeded the size limit, and that the matching domain was retained for downstream research but remains unverified.
Pricing conflicts are unresolved. Public sources report brand pricing at approximately $95, $245, and $495 per month on monthly billing, with annual billing reducing the monthly equivalent by roughly 15% [45]. Other sources report euro figures of €85, €205, and €425 [48]. One review notes the pricing page is regionally adjusted and a visitor sees different numbers based on geography [48]. Another reports a €70–€360 monthly range on annual billing [49]. Grok reported Starter pricing variably as roughly $85–103 per month or €85–95 per month [38].
Add-on pricing also conflicts. OpenAI reports additional model add-ons at approximately $35/month Starter, $85/month Pro, and $165/month Advanced [39]. Anthropic reports $30/month Starter, $70/month Pro, and $140/month Advanced [46]. Google reports roughly $30, $70, and $140 by tier [40]. These are not reconcilable from the supplied evidence.
Agency tier naming conflicts. OpenAI describes Essential, Growth, Scale, and Comprehensive agency tiers [50]. Perplexity reports agency pricing at about $245/month Essential, $495/month Growth, and $795/month Scale [51]. Anthropic describes Agency Starter at €85–€95/month and Agency Growth/Scale at €245–€495+/month [46]. Grok reports Agency Essential at $245/month with a credit model where one prompt times one model times one day equals one credit [52].
Contract terms are largely unverified. Anthropic reports month-to-month billing with no long-term contract requirement, a 15% annual discount, prorated upgrades, a free 7-day trial with no credit card required, and project data remaining intact after cancellation [46]. Perplexity states that no long-term contract or cancellation terms were clearly verified in its reviewed sources [41]. Google notes the official pricing page does not prominently publish trial duration, though third-party reviews widely cite seven days [53].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What Peec AI features help identify third-party corroboration gaps?
- Can Peec AI measure whether third-party authority work changed AI citations?
Peec AI's relevant capabilities cluster into four areas: source architecture mapping, gap discovery, multi-platform tracking, and change measurement.
Source architecture mapping. The platform reports URLs, domains, source classifications, and citation behavior, and separates brand visibility from source visibility [54]. Google's research describes categorization of citation sources into Corporate, Editorial, UGC, and Other buckets, ranked by usage percentage and average citation volume [55]. Independent reviews describe domain categorization into editorial, corporate, and user-generated types, plus URL-level page types such as article, listicle, comparison, and review [56].
Gap discovery. Gap analysis identifies sources where competitors are cited but the tracked brand is not, with URL- and domain-level views and gap scoring [54]. An Actions feature converts citation gaps into a ranked list of actionable recommendations [57]. Independent reviews caution that Actions is "promising but early" and directional rather than prescriptive, and that specific recommendations require supplemental content analysis before execution [58].
Multi-platform tracking. Peec AI tracks brand visibility, position, citations, and sentiment across ChatGPT, Perplexity, Google AI Overviews, Gemini, Microsoft Copilot, and Claude, with three models selectable on standard plans and additional models as paid add-ons [59]. It also tracks product recommendations in AI shopping features, including product position, win rate, and competing products shown [60].
Change measurement. Daily prompt execution supports trendlines rather than snapshots [61]. AI Referrals connects Google Analytics to show AI-referred sessions with engagement, conversions, and revenue broken down by landing page, country, and device [62]. Crawl Insights processes server logs from Cloudflare, WordPress, and similar sources to analyze LLM bot crawls [63].
What it does not do. Peec AI does not create content, coordinate outreach, build reviews on third-party platforms, or execute citations [64]. It does not implement schema markup or entity structure optimization [67]. It has no native CRM integration, pipeline tracking, or revenue attribution [68]. It does not directly track information consistency or whether claims across cited sources align [69].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Peec AI cost per month for third-party corroboration tracking?
- What extra fees should a buyer expect beyond the Peec AI base plan price?
Reported brand pricing is approximately $95/month for Starter, $245/month for Pro, and $495/month for Advanced on monthly billing, with annual billing reported to reduce the monthly equivalent by about 15% [70]. Euro-denominated figures of €85, €205, and €425 appear in other sources, and at least one review states the pricing page adjusts by region [73].
| Plan | Reported monthly price | Reported prompts | Reported projects | Reported models |
|---|---|---|---|---|
| Starter (Brand) | ~$95 / €85 | 50 | 1 | 3 selected |
| Pro (Brand) | ~$245 / €205 | 150 | 2 | 3 selected |
| Advanced (Brand) | ~$495 / €425 | 350 | 5 | 3 selected |
| Agency Essential | ~$245 | Credit-based | Multi-client | Not specified |
| Agency Growth | ~$495 | Credit-based | Multi-client | Not specified |
| Agency Scale | ~$795 | Credit-based | Multi-client | Not specified |
| Enterprise / Comprehensive | Custom | Custom | Custom | Up to 11 or 13, disputed |
Additional model add-ons are reported at approximately $30–$35/month on Starter, $70–$85/month on Pro, and $140–$165/month on Advanced, depending on which source is used [74]. Multi-country tracking is reported at three countries per project on Pro, with Advanced supporting more at an unclear count [71]. Google reports that Starter is restricted to one country [76].
Contract terms are inconsistently documented. Anthropic reports month-to-month billing with no long-term contract, a 15% annual discount, prorated upgrades, a free 7-day trial with no credit card required, and preserved project data after cancellation [71]. Perplexity states that no long-term contract or cancellation terms were clearly verified in its reviewed sources [77]. OpenAI states that cancellation, refunds, renewal, trial, and minimum-commitment terms were not verified [74].
Implementation, consulting, managed authority-building, and third-party placement costs are not established by any reviewed source [74]. Buyers should treat all pricing figures as platform-reported and reconfirm them directly, because public sources present annual and monthly billing differently and currency varies by region.
Best Suited For
Questions This Section Answers
- Who gets the most value from Peec AI for third-party corroboration work?
- Is Peec AI a good fit for agencies managing multiple clients' AI citations?
Peec AI is best suited to teams that already have execution capacity and need a diagnostic layer. OpenAI's assessment names marketing, SEO, GEO, and agency teams monitoring third-party citations across multiple AI answer platforms, plus companies that need URL- and domain-level evidence for prioritizing external editorial, review, directory, community, or reference-site work [78].
Anthropic's assessment is narrower: teams that already have in-house AEO or content execution capacity and need accurate daily visibility tracking, citation source mapping, and corroboration gap analysis to inform strategy [79]. It also names agencies managing multiple clients who need per-client prompt and project organization with unlimited seats and comparative benchmarking [80].
Grok's assessment names companies needing to identify citation gaps and third-party corroboration sources, and to monitor changes in AI citations after GEO efforts [81]. Google's assessment names agencies and marketing teams who already have a functioning execution layer — PR, content creators, SEO editors — ready to act on its insights [82].
The common thread across all four: the buyer must be able to act on the findings. Peec AI supplies the map; the buyer supplies the road.
Probably Not Best Suited For
Questions This Section Answers
- Who should not buy Peec AI for third-party corroboration?
- Is Peec AI suitable for a team with no content or PR execution capability?
Peec AI is probably not the right purchase for buyers who need the platform itself to build third-party corroboration. OpenAI states it is not best for buyers seeking guaranteed third-party placements, public-relations execution, link building, or managed authority campaigns [83]. Anthropic states it is not best for teams without dedicated AEO execution capacity seeking a single platform to diagnose, plan, and execute end-to-end [84].
It is also a poor fit for buyers who need causal proof. OpenAI states it is not best for teams needing causal proof that a specific outreach or content change directly caused more recommendations or revenue [83]. Anthropic states it is not best for organizations expecting the platform to validate ROI by connecting visibility changes to revenue, and notes there is no native CRM integration or pipeline tracking [85].
Buyers who need broad model coverage without add-ons should look elsewhere. OpenAI names organizations requiring broad model coverage without paid model add-ons or a custom enterprise arrangement as a poor fit [83]. Google names teams requiring extensive out-of-the-box geographic and multilingual tracking on lower tiers [86].
Early-stage sites are a weak fit. Anthropic notes that early-stage or very new websites where citation velocity is too low to establish reliable trends within the tracking window are not well served, and that the 7-day trial is tight for understanding citation velocity [85].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Peec AI when a buyer needs third-party coverage actually created?
- When should a buyer choose an integrated platform or agency over Peec AI?
Choose a managed agency or an integrated platform when the buyer needs execution, not measurement. OpenAI recommends choosing a managed digital PR, editorial outreach, or specialized GEO agency when the buyer needs third-party coverage creation and execution rather than measurement [87]. Anthropic recommends platforms that combine diagnosis, strategic planning, content creation, and execution — naming Shadow, Wellows, MaxAEO, Scalenut, and Profound — or managed agency services [88].
Choose a broader enterprise search-intelligence or custom analytics solution when the buyer needs many models, extensive API governance, SSO, bespoke data retention, or global-scale monitoring [87]. Perplexity recommends a more transparent enterprise analytics platform when confirmed API, SSO, reporting, or governance requirements must be settled upfront [90].
Choose a lower-cost or simpler tool when the objective is basic visibility tracking rather than AI citation analysis [90]. Anthropic names Otterly.AI and LLM Pulse as comparable-coverage options at lower entry price points, and notes Otterly.AI's per-prompt pricing is more predictable for variable-size teams [91].
Choose a platform with controlled experimentation or stronger attribution instrumentation when the buyer must connect individual authority interventions to downstream conversions [87]. Anthropic notes Scrunch AI offers GA4 integration for pipeline linkage [91].
Choose a documented authority-building program when the buyer wants transparent, published methodology. DeepSeek and Kimi both point to AI Authority Method, AuthorityPrompt, and Adam Silva Consulting as alternatives with published pricing and documented capability descriptions [92]. These are company-owned sources describing their own services, not independent evaluations.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Peec AI before signing a contract?
- Which Peec AI plan details are disputed across public sources?
Confirm the exact model list on the quoted plan. Ask whether ChatGPT, Google AI Overviews, Google AI Mode, Copilot, Perplexity, and Gemini are all included, or only three selected models, and what each additional model costs [98].
Confirm pricing in your region and currency. Public sources report both USD and EUR figures, and at least one review states the pricing page adjusts by region [100]. Ask whether the advertised rate requires annual billing.
Confirm the enterprise model count in writing. One review notes an inconsistency between Peec's pricing page claiming up to 11 LLM models and its AI-instructions page listing 13, and recommends getting the exact count from sales [102].
Confirm how sources, citations, mentions, and recommendations are defined and deduplicated, and what sampling frequency, geographic controls, prompt limits, retention period, and historical backfill are provided [98].
Confirm export and integration scope. Ask whether raw response text, cited URLs, accessed-but-uncited URLs, timestamps, model, geography, and prompt-level results can be exported, and whether API, MCP, Looker Studio, SSO, white-label, and client reporting are included in the quoted plan [98].
Confirm contract mechanics. Ask about trial length, annual commitment, cancellation, renewal, refund, overage, setup, support, and implementation fees, since these were not verified in the reviewed sources [98].
Confirm whether Peec provides any managed outreach or authority-building service, or whether all external coverage work must be executed separately [98].
Confirm the scraping methodology's stability. Peec AI describes UI scraping for most tracked engines and states that AI models cannot read behind paywalls or load JavaScript-dependent content, so coverage may differ from what an engine can access in other contexts [98].
Final AI Consensus Verdict
Peec AI is a good fit for the diagnostic and measurement layer of AI Authority Building Solutions for Third-Party Corroboration, and a weak fit as a standalone solution. Two of seven platforms named it during ranking discovery, and fit ratings across the panel ranged from strong to uncertain, with the uncertainty driven by retrieval failures rather than negative findings.
The consensus position across every platform that reviewed it is the same: Peec AI identifies which third-party sources AI systems cite, maps corroboration gaps, and measures citation changes daily, but does not create content, conduct outreach, build third-party presence, or prove that a specific authority intervention caused a citation change. Buyers with in-house execution capacity get a specialist monitoring tool at a reported entry price of about $95 per month. Buyers expecting diagnosis-through-execution should look at integrated platforms or managed agencies instead.
Purchase should be conditioned on confirming current model coverage, regional pricing, data access, and contractual terms directly with Peec AI, because public sources conflict on all four.
How This Review Was Produced
This review was produced from seven AI platform research responses collected on 2026-09-17. Each platform independently evaluated Peec AI's fit for AI Authority Building Solutions for Third-Party Corroboration, supplied its own citations, and reported its own fit rating. Two platforms named Peec AI during ranking discovery; all seven produced fit research.
The article synthesizes those responses without adding outside facts. Where platforms disagreed, both positions are reported. Where sources conflicted on pricing, plan names, or model counts, the conflict is disclosed rather than resolved. Company-owned sources are distinguished from independent sources throughout, and the Sources section groups them accordingly.
No personal testing, customer interviews, or independent verification was performed. All capability claims are platform-reported.
Methodology Limitations
Platform mentions in the ranking stage count only platforms that named Peec AI during ranking discovery, not platforms that evaluated it. Five of seven platforms did not name it, and two of those reported that no retrievable source mentioned Peec AI at all.
Official-site retrieval failed for at least one mention because the HTML exceeded the size limit. The matching domain was retained for downstream research but remains unverified. The supplied URLs were collected from platform responses and were not independently validated.
Pricing figures conflict across sources on currency, billing presentation, add-on costs, and agency tier names. No source was treated as authoritative. Contract, cancellation, refund, renewal, trial, and minimum-commitment terms were not verified by any platform.
No independent causal study was found showing that Peec AI usage increases citations, recommendations, or revenue. No independent evidence reviewed verifies that Peec AI itself builds or secures third-party corroboration placements. Metrics reported by the platform show association and movement, not causation.
Platform-reported dates are provenance metadata and do not independently prove freshness. Agreement among AI platforms is not evidence of product quality.
Explore more ai citation authority building guidance in the category directory.
Sources
Company-Owned Sources
- Third-Party Validation: The 6.5x Multiplier | AI Advisory: https://aiadvisoryhq.com/learn/third-party-validation.html
- Solutions — AuthorityPrompt: https://authorityprompt.com/solutions
- AI Visibility for Enterprises — AuthorityPrompt: https://authorityprompt.com/solutions/enterprises
- The Proven AI Authority Blueprint: Engineering AI Trust: https://bighouseenterprise.com/proven-ai-authority-blueprint/
- Peec AI for Agencies: Getting started: https://docs.peec.ai/agencies/agency-getting-started
- Understanding sources - Peec.ai Docs: https://docs.peec.ai/understanding-sources
- Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/
- Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/ai-instructions
- How to get the most out of sources in Peec AI: https://peec.ai/blog/how-to-get-the-most-out-of-sources-in-peec-ai
- AI Search Visibility Tracking for Marketing Agencies: https://peec.ai/for-agencies
- Pricing for Peec AI - AI Search Analytics for Marketing teams: https://peec.ai/pricing
- Peec AI Agency Pricing: Plans Built for Multi-Brand Tracking: https://peec.ai/pricing-agencies
- Peec AI - AI Visibility and Share of Voice Tracking: https://peec.ai/product/ai-visibility
- AI Authority Audit: Engineer Your Brand Recognition: https://theaiauthoritymethod.com/
- Frequently Asked Questions | AI Authority Method: https://theaiauthoritymethod.com/faq/
- AI Authority Solutions: Engineer Your Algorithmic Authority: https://theaiauthoritymethod.com/solutions/
- Peec AI: features, pricing & how it compares to Publive AXP: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFCHfv74u23t0mXBXPIN5q68JtdFO0UcWE5a9TEf3crpc7IcXbyGM1O7upxM2plEc00sF1HHJw1vnRRPmcnjV-nzW5hmep-Rk1PEaaBPaK-TVvEsLY3lmgYUZIUvNo
- Peec AI vs Ahrefs Brand Radar: An objective comparison: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGH-SG55XsZxFbANZhG0AHqpSdos06nJMdVNhWp57Icvhz86g5qCg3daJXkRSi089Kzncywddek-9da4Pb4qVsEWNaSq4F17HNBKH4f-5QUqMAfAm5h9qd5LqeiLp7euAEWv-Hb96ymiLE7zTHaMA==
- AI Authority Building — 90-Day Citation Program | Adam Silva Consulting: https://www.adamsilvaconsulting.com/services/authority-building
Additional AI research evidence103 records
- AI research evidence record google:cit_1_2_5
- AI research evidence record grok:0
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:peec-unverified-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-1
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:29-2
- AI research evidence record grok:11
- AI research evidence record google:cit_1_2_7
- AI research evidence record anthropic:31-10
- AI research evidence record anthropic:7-16
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:25-1
- AI research evidence record google:cit_1_1_2
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-12
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:34-2
- AI research evidence record grok:11
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:31-10
- AI research evidence record google:cit_1_2_7
- AI research evidence record anthropic:24-5
- AI research evidence record google:cit_1_1_1
- AI research evidence record google:cit_1_2_9
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:40-13
- AI research evidence record anthropic:41-2
- AI research evidence record google:cit_1_2_5
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record google:cit_1_2_5
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:37-2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:peec-unverified-1
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:25-1
- AI research evidence record openai:c5
- AI research evidence record perplexity:c2
- AI research evidence record grok:1
- AI research evidence record google:cit_1_2_9
- AI research evidence record openai:c1
- AI research evidence record google:cit_1_1_2
- AI research evidence record anthropic:1-12
- AI research evidence record anthropic:12-3
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:7-16
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:24-5
- AI research evidence record google:cit_1_1_1
- AI research evidence record google:cit_1_2_9
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:39-6
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:29-10
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:21-1
- AI research evidence record openai:c1
- AI research evidence record google:cit_1_2_5
- AI research evidence record google:cit_1_2_8
- AI research evidence record perplexity:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:1-1
- AI research evidence record grok:0
- AI research evidence record google:cit_1_2_5
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:1-1
- AI research evidence record google:cit_1_2_8
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:30-4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:1-1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c6
- AI research evidence record deepseek:c8
- AI research evidence record kimi:aiauthoritymethod-1
- AI research evidence record kimi:authorityprompt-1
- AI research evidence record kimi:adamsilva-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:21-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:25-1
- AI research evidence record perplexity:c3
Independent Sources
- Peec AI Brand Authority: Monitoring vs. Execution | AI Growth Agent: https://aigrowthagent.co/articles/peec-ai-brand-authority-execution/
- Peec AI Review 2026: Worth $100/Month? | Authoricy: https://authoricy.com/blog/peec-ai-review
- Authority Radar vs Peec AI 2026: https://authorityradar.com/blog/authority-radar-vs-peec-ai
- Peec AI alternatives for AI visibility monitoring in 2026 | HubSpot: https://blog.hubspot.com/marketing/peec-ai-alternatives
- 14 Peec AI Alternatives for AI Search Visibility Tracking (2026) | Timsoulo: https://blog.timsoulo.com/14-peec-ai-alternatives-for-ai-search-visibility-tracking-2026/
- 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: citation tracking for competitive intelligence and content optimisation | Discovered Labs: https://discoveredlabs.com/blog/peec-ai-review-citation-tracking
- My Peec AI Review for AI Search Visibility Updated August 2026: https://generatemore.ai/blog/peec-ai-review
- What Is Peec AI? Features, Pricing, and Alternatives (2026) | Geotoolbox: https://geotoolbox.ai/blog/what-is-peec-ai
- Peec AI Review 2026: Pricing, the Three-Model Cap, and Who It Fits: https://linkeddit.com/blog/peec-ai-review
- Peec AI Review 2026: Pricing, Features and Verdict | NBound Research: https://nboundmarketing.com/research/ai-visibility/peec-ai/
- Peec AI Review 2026: Pricing & Verdict | OrganiKPI: https://organikpi.com/blog/reviews/peec-ai-review/
- AI search engines cite Reddit, YouTube, and LinkedIn most: Study: https://searchengineland.com/ai-search-engines-cite-reddit-youtube-and-linkedin-most-study-473138
- Peec AI Review 2026: The Most Accurate AEO Tool on the Market? | The Prompt Insider: https://thepromptinsider.com/ai-tools/peec-ai-review-2026-is-this-the-most-accurate-aeo-tool/
- Peec.ai Review & Tutorial 2026 — Full Beginner's Guide: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYGqJzfeMbD8AgUqSc7tOkIR_QgyLzaNvp3AO68JqLyCsVbByjV679Q-jELaoheF6Lj-R5tBIFZM8iyY6B08CcoP2_iufti6SXYr6qp2kZt7z2otZ_zcnemT_C8WHydPKuQJ
- Peec AI Review & Pricing 2026: Clean Reporting, Nothing More: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFRc2nt5oqDXEe_VGptXBmtQgMMb3cCAiyJrZJp3b-yVo0rkZXT3YfIyp3qHY4WRCKRHedyld3veiOUzuizXx971L7XaADquUJFYcPM-r8NjuxPgwKwiiu8uN4nJ7hRWgQ8ECpeDq7aCUyo9fYGLg
- KIME vs Peec AI: which AI visibility platform to pick: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGLNzmV7FVnXy1s7VZyb11kTfSXKjnB8-nBzyxp7AAOzkjB0dLDW9x4FIFgVbo7BTsj4jf4UfTyv_9P41wVHymnxTu9hW5XsnpCT3BIhMF7Ew8b-jPYV4GgUuZugTcKwJdJ
- Peec AI review 2026: pricing, features, and is it worth it? | SE Ranking: https://visible.seranking.com/blog/peec-ai-review/
- Wellows vs Peec AI: Intelligence Gap or Execution Gap? | Wellows: https://wellows.com/blog/wellows-vs-peec-ai/
- Peec AI Review 2026: AI Search Visibility Tracking for Brand | Work-Management: https://work-management.org/marketing/peec-ai-review/
- Peec AI Review (2026): Pricing, Features, and Who It Is For | AEO Labs: https://www.aeolabs.ai/blog/peec-ai-review
- Peec AI Review (2026): Pricing, Features, and Is It Worth It? | AI Peekaboo: 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 Reviews 2026: Details, Pricing, & Features: https://www.g2.com/products/peec-ai/reviews
- Peec AI Review & Pricing 2026: Clean Reporting, Nothing: https://www.get-ryze.ai/blog/peec-ai-review-pricing-2026
- Peec AI Review 2026: Is It The Right GEO Tool For Your Brand? | Scalenut: https://www.scalenut.com/blogs/peec-ai-review
- The 10 Best AI Visibility Platforms: Official Guide 2026 | Shadow: https://www.shadow.inc/resources/best-ai-visibility-tools
- Peec AI Review: Is the Features & Price Worth It in 2026? | Workduo: https://www.workduo.ai/blog/peec-ai-review
Additional AI research evidence103 records
- AI research evidence record google:cit_1_2_5
- AI research evidence record grok:0
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record kimi:peec-unverified-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-1
- AI research evidence record grok:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:29-2
- AI research evidence record grok:11
- AI research evidence record google:cit_1_2_7
- AI research evidence record anthropic:31-10
- AI research evidence record anthropic:7-16
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:25-1
- AI research evidence record google:cit_1_1_2
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-12
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:34-2
- AI research evidence record grok:11
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:31-10
- AI research evidence record google:cit_1_2_7
- AI research evidence record anthropic:24-5
- AI research evidence record google:cit_1_1_1
- AI research evidence record google:cit_1_2_9
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:40-13
- AI research evidence record anthropic:41-2
- AI research evidence record google:cit_1_2_5
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record google:cit_1_2_5
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:37-2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:peec-unverified-1
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:21-1
- AI research evidence record anthropic:25-1
- AI research evidence record openai:c5
- AI research evidence record perplexity:c2
- AI research evidence record grok:1
- AI research evidence record google:cit_1_2_9
- AI research evidence record openai:c1
- AI research evidence record google:cit_1_1_2
- AI research evidence record anthropic:1-12
- AI research evidence record anthropic:12-3
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:7-16
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:24-5
- AI research evidence record google:cit_1_1_1
- AI research evidence record google:cit_1_2_9
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:39-6
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:29-10
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:21-1
- AI research evidence record openai:c1
- AI research evidence record google:cit_1_2_5
- AI research evidence record google:cit_1_2_8
- AI research evidence record perplexity:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:1-1
- AI research evidence record grok:0
- AI research evidence record google:cit_1_2_5
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:1-1
- AI research evidence record google:cit_1_2_8
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-2
- AI research evidence record anthropic:30-4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:1-1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c6
- AI research evidence record deepseek:c8
- AI research evidence record kimi:aiauthoritymethod-1
- AI research evidence record kimi:authorityprompt-1
- AI research evidence record kimi:adamsilva-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:21-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:25-1
- AI research evidence record perplexity:c3
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
- 49
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #6
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
30 independent · 19 company-owned
Evidence support
44 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 23cf1b8cc4a59bab9eb6067252c9a3b87649f6332d6c82f080cb6e60511d0749