Answer Capsule
Peec AI is a strong-to-good fit for companies that need to track brand mentions, citations, and competitor positioning inside Perplexity responses. Two of the seven platforms in this study named Peec AI during the ranking stage, and both ranked it first, giving it an average listed rank of 1.0. The strongest reason to consider it is that Peec AI explicitly separates "used" sources from "cited" sources and reports Perplexity citation data daily, which matches the buyer's four stated criteria. The main limitation is that self-serve plans cap tracking at three AI engines and 50 prompts on Starter, and most supporting evidence is vendor-published rather than independently audited.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (grok, openai) |
| Share of included platform responses | 28.6% |
| Average listed rank | 1.0 |
| Best listed rank | 1 |
| Relevant product/model/plan | Peec AI AI Visibility platform; Starter plan with Perplexity selected |
| Overall use-case fit | Strong (openai, grok, google); Good (anthropic, perplexity); Uncertain (deepseek); Weak (kimi) |
| Research date | 2026-09-19 |
Why Peec AI Qualified for This Study
Questions This Section Answers
- Is Peec AI a good choice for Perplexity Visibility Tracking Tools?
- How many AI platforms named Peec AI when ranking Perplexity visibility tracking tools?
Peec AI qualified because it was named during the ranking stage by two of the seven platforms in this study, grok and openai, and both placed it at rank 1 [1]. That gives it a 28.6% share of included platform responses and an average listed rank of 1.0. The remaining five platforms did not name Peec AI in their ranking output but did evaluate it during the fit-research stage, which is why the fit ratings below cover all seven platforms.
The entity is a company-owned product: Peec AI operates an "AI Visibility" platform that tracks brand visibility, position, sentiment, share of voice, competitors, prompts, and cited sources across AI engines including Perplexity [2]. Because the ranking-stage identity merge and product labeling were flagged in the deterministic audit, buyers should treat the exact plan name and commercial account details as requiring verification against Peec AI's official contract.
The Product, Model, Plan, or Service Most Relevant to Perplexity Visibility Tracking Tools
Questions This Section Answers
- Which Peec AI plan should a buyer choose if they need Perplexity citation tracking?
- Does the Peec AI Starter plan include Perplexity as a tracked engine?
The relevant offering is the Peec AI AI Visibility platform, with the Starter plan as the entry point when Perplexity is selected as one of the tracked engines. Peec AI's product page describes visibility, position, sentiment, share of voice, competitor, prompt, and cited-source tracking across AI engines including Perplexity [3]. Perplexity is explicitly listed among supported AI environments on Peec AI's product and instructions pages [4].
Self-serve plans let buyers pick three engines from a core set of six: ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini [6]. That means selecting Perplexity on Starter leaves only two slots for other engines. Peec AI also reports query-fanout analysis for Perplexity, showing related searches and their occurrence counts [7]. One independent review describes Peec AI as using UI scraping to simulate real browser sessions and capture the same responses users see, rather than relying only on API estimates [8].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Peec AI does well for Perplexity citation and source analysis?
- Does Peec AI track Perplexity citations separately from brand mentions?
Platforms broadly agreed on four capabilities. First, citation tracking and source analysis: Peec AI tracks citation rate separately from mention rate because Perplexity often cites a domain without naming the brand [11]. It distinguishes whether content was "used" to inform an answer versus explicitly "cited" with a URL [13], and it identifies exact source URLs and categorizes them by type such as editorial, corporate, and user-generated content [14]. Peec AI's own documentation describes separating background sources from body citations within a chat [15].
Second, competitor benchmarking: the platform reports side-by-side visibility, position, sentiment, and share of voice against competitors [16], and it calculates a "gap score" for prompts where competitors are cited and the buyer is not [18].
Third, historical monitoring: Peec AI runs prompts daily on every plan and compares week-over-week results to separate real movement from noise [19], tracking mention rate, average position, citation count, and sentiment per prompt [20].
Fourth, Perplexity coverage: Perplexity is listed as a tracked engine across multiple platform responses [22]. Independent reviews also describe Peec AI as including Citation Intelligence, Response Position Analysis, Share of Voice, Sentiment Analysis, and Competitive Benchmarking [24].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do any AI platforms say Peec AI lacks Perplexity citation tracking?
- How reliable is the evidence that Peec AI tracks Perplexity citations accurately?
The platforms disagreed sharply on one point. Kimi reported that Peec AI "does not offer citation tracking at all" and cannot detect when Perplexity lists a URL in its source panel [25]. That directly conflicts with openai, anthropic, grok, google, and perplexity, which all describe citation and source tracking as core features [26]. The kimi finding is a single-source claim that contradicts the majority position and should be treated as an outlier requiring direct verification with Peec AI.
Deepseek reported an uncertain fit, noting that its official-site retrieval failed and that no public source confirmed the Starter plan's existence, contents, or price [31]. Deepseek's research date was 2026-06-13, three months earlier than the authoritative run date of 2026-09-19, which may explain the retrieval gap.
Pricing conflicts are material. Reported Starter prices include $95/month [32], €85/month monthly or €70/month annual [35], and a historical $89/month for 25 prompts [36]. Peec AI's pricing page regionalizes currency and some structures between USD and EUR [37]. One source states Peec retired an older €89/€199/€499 structure [38]. Additional-engine add-on fees also conflict: $35/month on Starter [39] versus €25/month on Starter [40].
Sentiment depth is disputed. One reviewer describes sentiment as "just a number with no conversation context" [41], while Peec AI's product page does not explicitly describe sentiment depth or a Perplexity-only breakdown.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Peec AI show which specific URLs Perplexity cites for a given prompt?
- Can Peec AI benchmark a brand against competitors inside Perplexity responses?
Peec AI's feature set maps directly onto the buyer's four criteria. For citation tracking, it reports the most-cited sources for tracked prompts and provides domain- and URL-level source analytics, including citation gaps where competitors are cited and the buyer is not [42]. It shows which client pages get cited in Perplexity responses and which get skipped [43], and it indicates whether a client was retrieved in Perplexity, not just mentioned [44].
For source analysis, citation analysis shows the exact sources an engine pulled and sorts them into types like editorial, corporate, and user-generated content [45]. Peec AI's documentation describes tracking model response status, location, sentiment, mentions, fanout queries, and distinguishing background sources from body citations [46].
For competitor benchmarking, the platform reports share of voice, the percentage of tracked prompts returning a mention of the brand versus a competitor [47], and provides brand mention gap analysis with a "gap score" representing priority opportunities [48].
For historical monitoring, prompts run daily on every plan with week-over-week comparison [49], and one source reports archiving up to 100 historical chat responses per prompt [46].
Optimization support includes prioritized recommendations for content gaps and citation opportunities based on competitive source gaps [50]. Reporting integrations include CSV exports, Looker Studio, and API access [52], plus Model Context Protocol integrations to automate reports inside Claude and Notion [53].
A stated technical limitation: Peec AI says AI models only see HTML content and may not see pages behind paywalls or content dependent on JavaScript, so source visibility may not reflect all potentially relevant content [42].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Peec AI cost per month for a Starter plan that includes Perplexity?
- Are there setup, add-on, or cancellation fees with Peec AI?
Reported self-serve pricing is tiered by prompt volume. Starter is reported at $95/month for 50 prompts, three selected models, one project, unlimited users, and daily tracking [54]. Pro is reported at $245/month for 150 prompts, and Advanced at $495/month for 350 prompts [56]. European pricing is reported at €85/€205/€425 monthly, dropping to €70/€180/€360 billed annually [59]. Annual billing is reported to provide roughly a 15% discount [60].
Add-on engine fees conflict across sources: $35/month on Starter, $85/month on Pro, and $165/month on Advanced [61], versus €25/month on Starter, €55/month on Pro, and €115/month on Advanced [62]. Peec AI's agency plans are structured around monthly credits rather than prompts [63].
Contract terms are documented in Peec AI's Terms of Use. The stated service level is a target of 99% monthly availability at the provider's network interface, excluding scheduled maintenance, force majeure, and third-party interruptions (official:C3). Monthly subscriptions can be terminated at any time effective at the end of the current payment cycle; 12-month subscriptions require 30 days' notice effective at the end of the 12-month cycle; indefinite-term contracts can be terminated for convenience with 30 days' notice to the end of a calendar month (official:C3). Payments are due within 14 days of invoice, prices are net of VAT, and early termination of a fixed term does not automatically trigger a refund unless termination resulted from Peec AI's fault (official:C3). Governing law is the Federal Republic of Germany (official:C3). A 7-day free trial is reported in multiple sources [60].
Pricing confidence is moderate: the official pricing page returned an HTML-too-large failure during retrieval, so the figures above come from platform-reported and independent sources rather than a verified checkout page.
Best Suited For
Questions This Section Answers
- Who gets the most value from Peec AI for Perplexity visibility tracking?
- Is Peec AI worth it for agencies managing multiple client brands?
Peec AI is best suited to in-house SEO, content, and marketing teams tracking a defined set of Perplexity prompts, and to companies needing URL- and domain-level citation analysis with competitor comparisons (openai fit assessment). It also fits teams wanting daily historical visibility, position, sentiment, and share-of-voice monitoring, and buyers who want recommendations about content, citation, and competitive gaps rather than raw monitoring alone (openai fit assessment).
Agencies managing multiple clients are a stated target: Peec AI markets multi-project Perplexity tracking with white-label reporting, and agency plans are structured around monthly credits [64]. Unlimited user seats on all plans support collaboration without a separately reported seat fee [65]. Independent reviews highlight direct Slack access to the founding team as an advantage at this price tier [66].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Peec AI for Perplexity visibility tracking?
- Is Peec AI a poor fit for teams that need AI traffic attribution or content execution?
Peec AI is probably not the right choice for organizations requiring a large, unrestricted Perplexity query corpus at the entry tier, since Starter caps at 50 prompts and one project (openai fit assessment). It is also not a content-generation or publishing platform; Peec AI positions itself as analytics and visibility software (openai fit assessment). One independent review states Peec AI "stops at diagnosis" and does not write content, build authority signals, or implement technical optimizations [67].
Teams needing AI traffic attribution or a connection between Perplexity citations and website visits or leads should look elsewhere: Peec AI does not estimate AI traffic and cannot connect a citation to a visit or a lead [69]. Buyers requiring audited independent validation of measurement methodology, or guaranteed correlation with traffic and revenue, are also outside the fit (openai fit assessment). Organizations needing all six AI engines included without add-on fees on entry-level plans should compare alternatives (anthropic fit assessment). Buyers needing SOC 2 Type II compliance or custom data handling should note that API access, SSO, unlimited projects, custom prompt tracking, and all-model coverage sit on Enterprise [70].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Peec AI for a buyer who needs more than three AI engines at entry level?
- When should a buyer choose a lower-cost Perplexity tracking tool instead of Peec AI?
Another option may be better in several defined situations. If the buyer needs all six AI engines without add-on fees at entry level, competitors offer broader coverage at entry pricing (anthropic fit assessment). If the buying committee prioritizes execution support such as content optimization, PR outreach, or technical SEO alongside monitoring, Peec AI's diagnostic-only scope is a gap [71]. If budget is extremely cost-sensitive, lower-cost Perplexity-focused alternatives exist, with one cited example starting at $29/month (anthropic fit assessment).
If the buyer needs AI traffic attribution or ROI connection between Perplexity visibility and business outcomes, a different tool is required [73]. If the requirement is Enterprise-grade SLA, compliance certifications such as SOC 2 or HIPAA, or custom data handling, Peec AI's self-serve tiers do not cover it [74]. If deep source forensics, Reddit intelligence, crawler analytics, or opinionated action queues are primary requirements, other vendors specialize there (anthropic fit assessment). One independent review also notes Peec AI lacks the massive pre-indexed prompt datasets that broader SEO platforms offer [75].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Peec AI about Perplexity citation data before signing a contract?
- Which Peec AI plan details need written confirmation before purchase?
Several items require direct confirmation because public sources conflict or are incomplete. Confirm whether Starter provides URL-level and domain-level Perplexity citation data, or whether any citation views are gated to a higher tier (openai questions). Confirm how the 50-prompt allowance counts prompts, models, and days, and whether query-fanout analytics are available on Starter specifically for Perplexity (openai questions). Confirm how long historical Perplexity responses, citations, and competitor data are retained, and whether raw responses, citations, timestamps, and source URLs can be exported on Starter (openai questions).
Confirm the exact current price in your region, since USD and EUR figures differ and the pricing page regionalizes currency [76]. Confirm whether the additional-model fee applies if Perplexity is one of the three selected models, and whether models can be changed mid-billing-period [78]. Confirm cancellation, renewal, refund, overage, and price-change terms in writing, since the Terms of Use allow Peec AI to modify terms with six weeks' notice and treat non-objection as approval (official:C3).
Confirm how Peec AI handles duplicate URLs, redirects, syndicated content, paywalls, JavaScript rendering, and unavailable citations (openai questions). Confirm whether Peec AI can provide independent validation or methodology documentation for its Perplexity measurements (openai questions). Confirm whether Perplexity responses are tracked from a consistent United States location, language, and account state (openai questions).
Final AI Consensus Verdict
The consensus across the seven platforms is a strong-to-good fit, with one dissenting weak rating and one uncertain rating. Openai, grok, and google rated Peec AI a strong fit; anthropic and perplexity rated it good; deepseek rated it uncertain due to failed official-site retrieval; kimi rated it weak based on a claim that Peec AI lacks citation tracking entirely [79], which contradicts five other platforms.
For the specific use case of tracking brand mentions, recommendations, and citations in Perplexity responses, Peec AI directly addresses all four stated criteria: citation tracking, source analysis, competitor benchmarking, and historical monitoring [80]. The Starter plan is the accessible entry point, but its 50-prompt and three-engine limits constrain larger programs. The main unresolved risks are pricing inconsistency across sources, the absence of independently audited measurement validation, and the kimi citation-tracking contradiction. Buyers should verify current pricing, plan-level citation and export access, Perplexity sampling methodology, historical retention, and commercial terms before purchase.
How This Review Was Produced
This review was produced from platform fit-research responses collected on 2026-09-19 for the topic "Best Perplexity Visibility Tracking Tools." Seven platforms contributed fit assessments: openai (gpt-5.6-luna), anthropic (claude-haiku-4-5-20251001), google (gemini-3.5-flash), grok (x-ai/grok-4.3), perplexity (perplexity/sonar), kimi (moonshotai/kimi-k2.6), and deepseek (deepseek-v4-flash). Six of the seven had search enabled; deepseek had search disabled. Two platforms, grok and openai, named Peec AI during the ranking stage, both at rank 1.
All factual claims are attributed to the platform that supplied them using parenthetical citation IDs. Company-owned sources are Peec AI's own pages; independent sources include third-party reviews and directories. No personal testing, customer interviews, or independent verification of Peec AI's measurement accuracy was performed for this review.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date: deepseek's assessment is dated 2026-06-13, while the remaining six platforms and the authoritative run are dated 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. Peec AI's official pricing page failed retrieval during this study (HTML exceeded the size limit), so pricing figures rely on platform-reported and independent sources rather than a verified checkout page. One platform's official-site retrieval also failed, and that failure was not treated as evidence of absence.
The ranking-stage identity merge and product labeling for Peec AI should be verified by the buyer against the official commercial account and contract. Platform agreement on a capability does not prove product quality or measurement accuracy. The kimi citation-tracking contradiction remains unresolved and is disclosed rather than reconciled. Most supporting evidence is vendor-published; independent comparative or audited evidence was not identified in the sources checked.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/
- AI Instructions — Peec AI: https://peec.ai/ai-instructions
- A beginner's guide to brand mention gap analysis in AI search: https://peec.ai/blog
- Peec AI vs Ahrefs Brand Radar: An objective comparison: https://peec.ai/comparison/peec-ai-vs-ahrefs-brand-radar
- AI Search Visibility Tracking for Marketing Agencies | Peec AI: https://peec.ai/for-agencies
- Pricing for Peec AI - AI Search Analytics for Marketing teams and SEO agencies: https://peec.ai/pricing
- Peec AI Agency Pricing: Plans Built for Multi-Brand Tracking: https://peec.ai/pricing-agencies
- Actions: Improve Your Brand's Visibility in AI Search: https://peec.ai/product-actions
- Actions: Improve Your Brand's Visibility in AI Search: https://peec.ai/product/actions
- Peec AI - AI Visibility and Share of Voice Tracking: https://peec.ai/product/ai-visibility
- Perplexity Visibility Tracker: Free Brand Audit | SolCrys: https://solcrys.com/perplexity-visibility-tracker/
- Perplexity Visibility Tracker: Monitor Brand Mentions & Citations | GEOflux: https://www.geoflux.ai/perplexity-visibility-tracker
- Perplexity Visibility Tracker: Monitor Your Citations & Rankings | RankZero: https://www.rankzero.io/trackers/perplexity
- Official pricing and terms source: https://peec.ai/legal/terms-of-use
Additional AI research evidence83 records
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:10-4
- AI research evidence record openai:c2
- AI research evidence record anthropic:9-13
- AI research evidence record anthropic:9-14
- AI research evidence record anthropic:21-10
- AI research evidence record anthropic:1-4
- AI research evidence record anthropic:20-22
- AI research evidence record anthropic:23-2
- AI research evidence record anthropic:13-4
- AI research evidence record google:3.2.4
- AI research evidence record anthropic:2-2
- AI research evidence record grok:web:0
- AI research evidence record google:3.2.9
- AI research evidence record anthropic:1-13
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:20-2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:11-7
- AI research evidence record kimi:searchable_perplexity_2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record grok:web:0
- AI research evidence record google:3.2.4
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:11-2
- AI research evidence record google:2.2.7
- AI research evidence record anthropic:13-2
- AI research evidence record google:1.1.6
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:18-6
- AI research evidence record google:2.1.6
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:27-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-8
- AI research evidence record anthropic:1-10
- AI research evidence record anthropic:13-4
- AI research evidence record google:3.2.4
- AI research evidence record anthropic:21-12
- AI research evidence record google:3.2.9
- AI research evidence record anthropic:1-13
- AI research evidence record openai:c3
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:24-4
- AI research evidence record google:1.2.4
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:19-2
- AI research evidence record google:2.1.3
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:16-1
- AI research evidence record google:2.1.6
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:16-4
- AI research evidence record anthropic:22-9
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:27-2
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:22-9
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:27-2
- AI research evidence record anthropic:32-4
- AI research evidence record google:1.1.8
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:10-7
- AI research evidence record kimi:searchable_perplexity_2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:1-13
Independent Sources
- Peec AI Review 2026: Features, Pricing & Verdict: https://aiagentsquare.com/agents/peec-ai
- Peec AI Review 2026: Features, Pricing and Alternatives: https://airankchecker.net
- Peec AI vs Profound (2026): Pricing, Engines & Which to Pick: https://ayzeo.com
- Peec AI Review 2026: Best for AI Visibility Monitoring? (Use Cases, Limits, Alternatives: 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
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- What Is Peec AI? Features, Pricing, and Alternatives (2026: https://geotoolbox.org
- Peec AI Review: is it worth it in 2026?: https://getairefs.com/blog/peec-ai-review/
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- Best Perplexity Rank Tracking Tools in 2026: Tested and Compared: https://www.searchable.com/blog/best-perplexity-tracking-tools
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- Peec AI Review: Is the Features & Price Worth It in 2026?: https://www.workduo.ai/blog/peec-ai-review
Additional AI research evidence83 records
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:10-4
- AI research evidence record openai:c2
- AI research evidence record anthropic:9-13
- AI research evidence record anthropic:9-14
- AI research evidence record anthropic:21-10
- AI research evidence record anthropic:1-4
- AI research evidence record anthropic:20-22
- AI research evidence record anthropic:23-2
- AI research evidence record anthropic:13-4
- AI research evidence record google:3.2.4
- AI research evidence record anthropic:2-2
- AI research evidence record grok:web:0
- AI research evidence record google:3.2.9
- AI research evidence record anthropic:1-13
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:20-2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:11-7
- AI research evidence record kimi:searchable_perplexity_2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record grok:web:0
- AI research evidence record google:3.2.4
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:11-2
- AI research evidence record google:2.2.7
- AI research evidence record anthropic:13-2
- AI research evidence record google:1.1.6
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:18-6
- AI research evidence record google:2.1.6
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:27-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-8
- AI research evidence record anthropic:1-10
- AI research evidence record anthropic:13-4
- AI research evidence record google:3.2.4
- AI research evidence record anthropic:21-12
- AI research evidence record google:3.2.9
- AI research evidence record anthropic:1-13
- AI research evidence record openai:c3
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:24-4
- AI research evidence record google:1.2.4
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:19-2
- AI research evidence record google:2.1.3
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:16-1
- AI research evidence record google:2.1.6
- AI research evidence record anthropic:10-7
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:16-4
- AI research evidence record anthropic:22-9
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:27-2
- AI research evidence record anthropic:32-4
- AI research evidence record anthropic:22-9
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:27-2
- AI research evidence record anthropic:32-4
- AI research evidence record google:1.1.8
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:10-7
- AI research evidence record kimi:searchable_perplexity_2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-4
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:1-13
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
- 39
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #7
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
25 independent · 14 company-owned
Evidence support
30 direct · 9 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 5d0a60fe0cd0c950c771fef906538c9c8bc11568597c6ee9d43c01cc3b653b21