Answer Capsule
Wellows is a good fit, with material qualification, for companies that need recurring Perplexity citation monitoring combined with competitor comparison, content-gap discovery, and content-generation workflows. Two of the seven platforms in this study named Wellows during the ranking stage — Google and Perplexity — each at rank 6, giving an average listed rank of 6.0 and a 28.6% share of included platform responses. The strongest reason to consider it is direct Perplexity citation tracking that separates explicit citations from implicit mentions and connects detected gaps to content and outreach workflows. The main limitation is that Content Optimization and Content Scoring are beta, public pricing and plan names conflict across official pages, and most supporting evidence is company-reported rather than independently validated.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (Google, Perplexity) |
| Share of included platform responses | 28.6% |
| Average listed rank | 6.0 |
| Best listed rank | 6 |
| Relevant product/model/plan | Perplexity Visibility Tracker; Wellows Perplexity Visibility Tracker; Content Optimization feature |
| Overall use-case fit | Good, with material qualification |
| Research date | 2026-09-19 |
Why Wellows Qualified for This Study
Questions This Section Answers
- Is Wellows a good choice for Content Optimization Tools for Perplexity Visibility?
- Why did only two of seven AI platforms name Wellows in the ranking stage?
Wellows qualified because it was named during ranking discovery by two of the seven platforms studied, and because it markets a product that directly addresses the buyer's stated need: monitoring and improving how a brand appears in Perplexity answers. Google and Perplexity each placed Wellows at rank 6, producing an average listed rank of 6.0 and a best listed rank of 6. The remaining five platforms evaluated Wellows for fit but did not name it in the ranking stage, so its inclusion rests on a minority of platform responses rather than broad consensus.
The entity's relevance to this use case is specific rather than incidental. Wellows publicly describes a Perplexity Visibility Tracker that monitors when and how Perplexity cites a domain, identifies every instance where a website appears as a source, and captures the full context of each citation [1]. The tracker counts queries that result in direct citations as its primary visibility metric and also tracks implicit mentions and sentiment [3]. Google's research described the same product as tracking implicit and explicit citations, brand visibility scores, and competitor gaps [6].
Wellows also qualified because it sits inside the broader category the buyer is shopping in. The company presents itself as an AI/SEO content and visibility platform [7], and its Content Optimization feature launched in April 2026 with the stated purpose of turning existing content into citation-winning assets [8]. That combination — citation measurement plus content remediation — is what the buyer's prompt asked for.
Two caveats belong at the top of this section. First, company-owned citations materially outnumber independent citations in the supplied evidence, so most product claims here are vendor-reported rather than independently verified. Second, one platform (DeepSeek) ran without search enabled and reported a different research date of 2026-06-11, which is disclosed in the methodology limitations below.
The Product, Model, Plan, or Service Most Relevant to Content Optimization Tools for Perplexity Visibility
Questions This Section Answers
- Which Wellows product or plan does a buyer actually need for Perplexity visibility tracking?
- Is the Wellows Perplexity Visibility Tracker a standalone product or part of a paid suite?
The most relevant offering is the Perplexity Visibility Tracker, which Wellows markets as a free AI citation monitor [10]. It analyzes explicit and implicit citations, ranking position, and the queries that drive citations, and it supports session-based query refinement [12]. Wellows states the free tracker helps users see which queries cite their pages, where the brand appears, and how visibility changes relative to competitors [13].
The second relevant offering is the Content Optimization feature, which Wellows describes as identifying gaps, preventing cannibalization, benchmarking against cited sources, and generating AI-aligned recommendations [14]. Independent coverage describes it as finding pages to fix, estimating citation gain, and then letting the KIVA agent write the content [15]. Wellows positions the feature around a cannibalization-aware decision engine and line-level gap analysis drawn from 20–50 referenced URLs per prompt [16].
Whether the free tracker is a standalone product, a gated trial, or a module inside a paid suite is unresolved in the supplied evidence. Perplexity's research flagged exactly this ambiguity, noting it is unclear whether the free Perplexity tracker is a standalone product, a gated trial, or part of a paid suite [12]. DeepSeek went further and could not independently confirm that a product literally named "Perplexity Visibility Tracker" exists at all [18]. Buyers should treat the tracker's packaging as unconfirmed until Wellows states it in writing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree that Wellows does well for Perplexity visibility?
- Does Wellows track both explicit citations and implicit brand mentions in Perplexity answers?
The clearest area of agreement is that Wellows tracks Perplexity citations at a level of detail beyond simple rank position. Google's research found that Wellows differentiates between explicit links and unlinked implicit brand references inside Perplexity's citation blocks [19]. Anthropic's research found the tracker identifies every instance where a website appears as a source and captures the full context of each citation [20]. Perplexity's research found the product surfaces explicit versus implicit citations, which it described as useful for source-quality and mention-quality review [21]. Three platforms converging on the same capability is meaningful, though all three were drawing on Wellows-owned pages.
A second area of agreement is that Wellows connects measurement to execution rather than stopping at dashboards. Anthropic's research described the platform as combining citation tracking, content recommendations, content generation via the KIVA agent, and outreach opportunities in one platform rather than requiring multiple point tools [22]. Google's research described an integrated outreach engine that lets teams target third-party sites already feeding Perplexity's retrieval pipeline [24]. Grok's research described the Content Optimization feature as identifying gaps, preventing cannibalization, and benchmarking against cited sources [25].
A third point of agreement, stated by Wellows and repeated across platform research, is that traditional rank tracking does not work for Perplexity and that trackers must monitor citations instead of positions [26]. This framing is company-owned, but it is consistent with how the platforms described the product's design.
Agreement among AI platforms is not evidence of product quality. It reflects what the platforms found in the same largely vendor-controlled source pool.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How much do AI platforms disagree about whether Wellows is a strong fit for Perplexity visibility?
- Is Wellows a verified product or an unverified vendor claim for Perplexity citation tracking?
Fit ratings diverged sharply. Google and Grok rated Wellows a strong fit [27]. OpenAI, Anthropic, and Perplexity rated it a good fit with qualifications [29]. DeepSeek and Kimi both rated it uncertain [32]. That is two strong, three qualified, and two uncertain across seven platforms — a genuinely mixed picture, not a consensus.
The uncertainty from DeepSeek and Kimi centers on verifiability rather than on any negative finding. DeepSeek, which ran without search enabled, stated that the sources checked do not independently confirm the existence, capabilities, or pricing of a Perplexity-specific product [32]. Kimi reported that no independent reviews, comparisons, or feature verification were found, that no customer testimonials or case studies surfaced, and that search results for Perplexity optimization tools consistently featured competitors such as Botric, Presenc AI, Norg, FogTrail, Cognizo, and Rank++ without mentioning Wellows [33]. Kimi also could not determine whether Wellows is a genuine operational product or an early-stage offering.
Platforms also disagreed on scope. Perplexity's research concluded that Wellows is not clearly a pure Perplexity-only optimization tool, because the broader platform covers other AI engines and the most useful optimization capabilities appear bundled with wider AI visibility tracking [39]. Anthropic's research found that Perplexity monitoring requires the Starter plan at $297 per month, while Lite covers ChatGPT only and Essential adds Google AI Overviews [41]. Google's research reached the same conclusion, stating that Perplexity tracking is omitted from the $37 Lite plan and the $97 Essential plan [44]. This directly contradicts Wellows' own alternative pricing page, which lists all five engines on the lowest tier [46].
One further disagreement concerns data latency. Independent testing cited by Anthropic found that live data occasionally felt a few days behind, and that dashboard data may not perfectly reflect what users see in the ChatGPT interface due to personalization [47]. Wellows describes daily monitoring, which is consistent with a lag rather than real-time data.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Wellows score topical completeness and factual clarity, or only citation opportunities?
- Can Wellows identify which competitor pages Perplexity cites instead of mine?
Wellows covers citation monitoring and competitive coverage well, and covers topical completeness and factual clarity only partially. The buyer's stated criteria were topical completeness, factual clarity, source quality, competitive coverage, and content structure. Mapping the supplied evidence against those five criteria produces an uneven result.
| Buyer criterion | Evidence assessment | Supporting detail |
|---|---|---|
| Perplexity citation monitoring | Advantage | Tracks explicit and implicit citations, source URLs, sentiment, and query drivers |
| Competitive coverage | Advantage | Tracks up to ten competitors per plan and shows which sources Perplexity prefers instead of the buyer's |
| Topical completeness | Partial | Surfaces content gaps and themes where competitors lead, but does not directly score semantic depth |
| Content structure | Partial | Provides section-level recommendations aligned with AI interpretation; no disclosed structural scoring methodology |
| Factual clarity and source quality | Unclear | No public evidence establishes independent factual-accuracy or source-quality scoring |
On competitive coverage, the platform tracks ten competitors per plan [49] and shows when pages are cited, when competitors replace the buyer, and which passages Perplexity extracts [50]. Independent coverage confirms prompt-level competitive monitoring and sentiment tracking in Perplexity answers [51].
On topical completeness, Wellows claims to compare topic coverage and identify themes where competitors lead [52]. Independent analysis cited by Anthropic found that structured blogs with clear definitions and semantic depth are up to 28% more likely to be cited by Perplexity than loosely formatted content [53]. That finding supports the general approach, but it is a partial-strength source and does not establish that Wellows measures semantic depth directly.
On factual clarity and source quality, the evidence is weakest. Wellows reports exact citation URLs, explicit and implicit citations, sentiment, and citation opportunities [55], but public materials do not establish that the system independently verifies factual accuracy or evaluates source quality using a disclosed methodology [56]. Anthropic's research reached the same conclusion, noting the platform tracks sentiment and validates mentions versus recommendations but does not directly score topical completeness or semantic depth the way traditional NLP tools do [57].
On execution, the platform includes verified outreach contact finding with unlimited emails on every plan [59], Google Search Console integration [60], and client-ready reporting showing visibility and progress over time [61]. Higher plans include monthly strategy calls to help interpret data and refine prompts [62].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Wellows cost per month for Perplexity visibility, and which plan includes Perplexity?
- Does Wellows charge per domain, and are there volume discounts for agencies managing multiple domains?
Public Wellows pricing is inconsistent across official pages, and buyers should treat the applicable tier structure as unclear until confirmed in the purchasing flow. Two conflicting schedules appear in the supplied evidence.
The current pricing page lists Lite at $37 per domain per month, Essential at $97 per domain per month, Starter at $297 per domain per month, and Pro at $497 per domain per month, with a 7-day trial advertised [63]. Independent reviews report the same four-tier structure [64].
A separate official Wellows page lists Basic at $29 per month, Standard at $97 per month, Growth at $249 per month, and Scale at $497 per month, with unlimited projects and domains, and states that all five engines are included on every plan including the $29 tier [69]. That page also states that one credit equals one prompt asked of one AI platform on one day, that the starting setup is 40 prompts across every engine running daily on one project, and that this draws 6,000 credits a month (official:C2).
The two schedules conflict on plan names, on price points, on whether pricing is per domain or credit-based, and on whether Perplexity is gated behind a higher tier. The current pricing page says Perplexity is available on Starter and Pro [63], while the other official page states all five engines are included on every plan [69]. Buyers must resolve this before purchase.
On multi-domain economics, independent analysis states that each domain requires a full-price subscription and that managing five domains on the Starter tier costs $1,485 per month at $297 each, with no bundled rate [70]. Google's research confirms strict per-domain pricing with no volume discounts [72]. This conflicts with the credit-pool page, which states that projects never cost extra and draw on the same pool (official:C2).
On contract terms, the pricing page states that plans can be upgraded or downgraded at any time [63]. The terms of service state that subscriptions automatically renew unless canceled before the renewal date, that users may cancel at any time via account settings, that fees are non-refundable except where required by law, and that prepaid amounts may be refunded pro rata at the company's sole discretion or where required by law (official:C3). The service is provided "as is" and "as available" without warranty of any kind (official:C3). No separately published implementation, API, usage-overage, or add-on fees were verified [63]. Refund, auto-renewal timing, data export, and service-level terms beyond the terms of service were not verified.
Best Suited For
Questions This Section Answers
- Who gets the most value from Wellows for Perplexity visibility work?
- Is Wellows a good fit for agencies managing multiple client brands in Perplexity?
Wellows is best suited to marketing, SEO, brand, and growth teams that need daily Perplexity visibility and citation tracking, and to agencies managing multiple brands or offering AI-search visibility as a service [73]. The platform's combination of monitoring, competitive gaps, content opportunities, and outreach in one workflow fits teams that want to act on citation data rather than only observe it [75].
It also fits mid-market B2B companies prioritizing brand representation in AI search answers, and organizations already tracking Google Search Console data that want to layer AI citation insights on top [74]. Teams that already understand prompt structure and AI search behavior will get more from it, since independent review notes the platform works best for teams that already understand prompts [77].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Wellows for Perplexity visibility?
- Is Wellows a poor fit for buyers who need a mature, independently validated content editor?
Wellows is probably not the best choice for buyers needing a mature, independently validated content editor or detailed on-page optimization suite [78]. Content Optimization and Content Scoring are identified as beta [79], and the platform is designed for brand and prompt-level visibility rather than page-level on-page optimization, so it does not provide NLP scoring comparable to dedicated content editors [80].
It is also a poor fit for teams requiring Claude, Microsoft Copilot, Grok, DeepSeek, Qwen, or Mistral monitoring [78], for organizations needing real-time rather than daily data [78], and for solo creators or small marketers tracking a single domain on a tight budget [80]. Enterprises managing ten or more domains face per-domain pricing that scales unfavorably [82]. Buyers who require independently documented, verifiable Perplexity citation tracking before purchase, or published self-serve pricing without sales contact, should also look elsewhere [84].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Wellows for a buyer who needs on-page NLP content scoring?
- When is a cheaper or multi-engine alternative better than Wellows for Perplexity visibility?
Another option may be better in several specific situations. Buyers who want lightweight Perplexity tracking only, without content generation or outreach workflows, may prefer monitoring-focused alternatives such as Peec AI or Otterly AI [85]. Buyers managing ten or more domains, where per-domain pricing becomes cost-prohibitive, may prefer LLMrefs at $79 per month for unlimited projects, or local tools such as Local Falcon for regional visibility [86].
Buyers who prioritize on-page NLP optimization and content scoring over citation tracking may prefer Surfer SEO or Clearscope, which provide stronger page-level editing capabilities [87]. Buyers who need both traditional SEO and AI visibility in a unified platform may prefer SE Ranking, which combines AI visibility with keyword rank tracking and backlink data starting at $129 per month [87]. Buyers needing enterprise-grade analytics may prefer Profound or Semrush's Brand Radar [87]. Buyers who prioritize paid earned media or placements in authoritative third-party sites over self-optimization of existing content should also consider a different approach [88].
Kimi's research named a separate set of alternatives with documented Perplexity-specific capabilities: Botric and Presenc AI for Perplexity-specific technical optimization, FogTrail for multi-engine monitoring with content generation from $99 per month, and Norg for citation tracking with E-E-A-T scoring [89]. These are vendor-owned sources describing their own products, so the comparisons are platform-reported rather than independently tested.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Wellows before signing a contract?
- Which pricing schedule and plan names actually apply to a US buyer today?
The supplied platform research produced a consistent set of unresolved questions. Buyers should get written answers before paying.
Which plan names and prices apply to a United States buyer on the purchase date, given that official pages list both Lite/Essential/Starter/Pro and Basic/Standard/Growth/Scale [93]. Whether Perplexity is included in the selected plan, and whether pricing is per domain, per project, per credit pool, or another unit [93]. How many Perplexity prompts, regions, competitors, historical days, and response analyses are included [93]. How Perplexity citations are classified as explicit versus implicit, and whether raw responses and URLs can be exported [93]. What exactly beta Content Optimization evaluates — topical coverage, factual clarity, structure, source quality, entities, or other factors [97]. Whether the platform can distinguish direct citation from mention, and how duplicate, redirected, or inaccessible URLs are handled [93]. Whether content-generation outputs are editable, source-linked, and reviewed for factual accuracy [93]. What the cancellation, renewal, refund, data-retention, export, and support terms are (official:C3). Whether API access, white-label reporting, additional users, extra domains, or higher usage are charged separately [93]. Whether volume discounts exist for agencies managing five or more domains [98]. How the platform handles Perplexity API changes and rate limiting, and what uptime or SLA commitments apply [100]. Whether independently verifiable case studies or third-party reviews of Perplexity-visibility outcomes can be provided [101].
Final AI Consensus Verdict
Wellows is a good fit for Content Optimization Tools for Perplexity Visibility, with material qualification. It directly addresses Perplexity visibility through citation and competitor monitoring and adds content-gap, generation, and outreach workflows [102]. It should be shortlisted by teams seeking an integrated AI-visibility workflow.
It should not be treated as a fully mature content-optimization suite until the beta capabilities, measurement methodology, current pricing, and plan coverage are confirmed. Fit ratings across the seven platforms ranged from strong to uncertain, and the two uncertain ratings came from platforms that could not independently verify the product's existence, capabilities, or pricing [104]. No agency can guarantee placements in AI-generated responses, because so much depends on constantly evolving AI systems and context [106]. Buyers whose core requirement is verified Perplexity citation monitoring should require direct documentation and a demo before purchasing.
How This Review Was Produced
This review was produced from a structured multi-platform research run dated 2026-09-19. Seven AI platforms evaluated Wellows for fit against the use case "Content Optimization Tools for Perplexity Visibility": OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi. Each platform returned a fit rating, strengths, limitations, pricing findings, use-case findings, and questions to verify before buying.
Two of the seven platforms named Wellows during ranking discovery — Google and Perplexity — each at rank 6. The remaining five evaluated fit without naming the entity in the ranking stage. Fit ratings were strong for Google and Grok, good for OpenAI, Anthropic, and Perplexity, and uncertain for DeepSeek and Kimi.
All factual claims in this review are drawn from the supplied platform responses and their cited sources. Company-owned citations materially outnumber independent citations in the evidence base, so vendor claims are labeled as such throughout. No personal testing, customer interviews, or independent verification was performed. The two internal links in this review point to the Content Optimization Tools for Perplexity Visibility consensus index and to the broader ai seo content optimization category directory.
Methodology Limitations
Several limitations constrain the confidence a buyer should place in this review.
Company-owned citations materially outnumber independent citations in the supplied evidence, so most product claims are vendor-reported rather than independently verified. Platform-reported research dates differ from the authoritative run date: DeepSeek reported 2026-06-11 while the run date is 2026-09-19, and DeepSeek ran without search enabled, so its findings rest on a narrower evidence base. 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. No-search model claims require explicit verification before being described as current facts.
Public Wellows pricing, plan names, engine coverage, and pricing units conflict across official pages, and this review does not resolve those conflicts by guessing. Independent evidence confirming the advertised content-optimization and visibility outcomes was not verified. The public materials do not clearly define the exact algorithms, scoring thresholds, sampling controls, geographic controls, or reproducibility limits for Perplexity citation measurements. Independent testing cited in the evidence found data latency of a few days and noted that dashboard data may not reflect personalized results users see in the ChatGPT interface [107].
Agreement among AI platforms is not evidence of product quality. It reflects what the platforms found in a largely vendor-controlled source pool.
Sources
Company-Owned Sources
- AI Search Optimization: Rank in ChatGPT, Perplexity, Claude, Gemini, and Grok | FogTrail: https://fogtrail.ai/ai-search-optimization
- Product Guide - Norg: https://home.norg.ai/products/product-guide/index.md
- Perplexity AI Visibility Optimization | Presenc AI: https://presenc.ai/use-cases/perplexity-ai-visibility-optimization
- Content Optimizer - AI Engine Optimization Tool | Rank++: https://rankplusplus.com/feature/content-optimizer
- Wellows: https://wellows.com/
- Official Information About Wellows: https://wellows.com/ai-info/
- 7 Best Peec AI Alternatives for AI Visibility in 2026 Compared: https://wellows.com/alternatives/best-peec-ai-alternatives/
- 11 Best AI Visibility Tools for B2B Companies (2026) - Wellows: https://wellows.com/blog/ai-visibility-tools/
- Best AI Content Optimization Tools 2026 : Tested Compared & Ranked: https://wellows.com/blog/best-ai-content-optimization-tools/
- How to Rank in Perplexity AI: Get Cited, Not Ignored (2026 Guide: https://wellows.com/blog/how-to-rank-in-perplexity/
- Perplexity Search Visibility Tips: 8 Ways to Get Cited 2025: https://wellows.com/blog/perplexity-search-visibility-tips/
- Wellows Features | Brand AI Search Visibility: https://wellows.com/features/
- AI Visibility Score: Track Your Brand in AI Search | Wellows: https://wellows.com/features/ai-visibility-score/
- AI Content Optimization Without Cannibalization | Wellows: https://wellows.com/features/content-optimization/
- LLM Citation Tracking: Explicit & Implicit Citations: https://wellows.com/features/llm-citations/
- LLM Visibility Tracking Across 5 AI Platforms: https://wellows.com/features/llm-visibility/
- How We Measure AI Visibility: https://wellows.com/methodology/
- Wellows Pricing | AI Search Visibility Plans: https://wellows.com/pricing/
- AI Search Visibility for Startups – Wellows: https://wellows.com/solutions/startups/
- Perplexity Visibility Tracker – Free AI Citation Monitor: https://wellows.com/tools/perplexity-visibility-tracker/
- Perplexity Visibility & Rank Tracker: Track Brand Mentions | Botric: https://www.botric.ai/ai-optimization/perplexity
- Official pricing and terms source: https://wellows.com/terms-of-service/
Additional AI research evidence108 records
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:1-16
- AI research evidence record anthropic:1-20
- AI research evidence record google:1.2.1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:11-9
- AI research evidence record grok:web:13
- AI research evidence record anthropic:1-2
- AI research evidence record grok:web:8
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record grok:web:11
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:30-7
- AI research evidence record anthropic:30-8
- AI research evidence record deepseek:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:1-3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:35-3
- AI research evidence record google:1.3.1
- AI research evidence record grok:web:11
- AI research evidence record google:1.2.5
- AI research evidence record google:1.2.1
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-2
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:wellows-site
- AI research evidence record kimi:botric-perplexity
- AI research evidence record kimi:presenc-perplexity
- AI research evidence record kimi:norg-guide
- AI research evidence record kimi:fogtrail-optimization
- AI research evidence record kimi:rankplusplus-optimizer
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:6-1
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:16-6
- AI research evidence record google:2.1.1
- AI research evidence record google:2.1.2
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:6-3
- AI research evidence record anthropic:2-3
- AI research evidence record anthropic:35-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:8-3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:1-20
- AI research evidence record anthropic:33-8
- AI research evidence record anthropic:35-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-11
- AI research evidence record anthropic:27-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:16-6
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record google:2.1.1
- AI research evidence record google:2.1.2
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:14-8
- AI research evidence record anthropic:14-9
- AI research evidence record google:2.2.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-11
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:31-1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:16-6
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:14-9
- AI research evidence record anthropic:31-1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:14-9
- AI research evidence record anthropic:16-6
- AI research evidence record grok:web:9
- AI research evidence record kimi:botric-perplexity
- AI research evidence record kimi:presenc-perplexity
- AI research evidence record kimi:fogtrail-optimization
- AI research evidence record kimi:norg-guide
- AI research evidence record openai:c1
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:16-6
- AI research evidence record anthropic:1-15
- AI research evidence record openai:c3
- AI research evidence record anthropic:14-9
- AI research evidence record google:2.2.1
- AI research evidence record anthropic:33-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:35-1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:wellows-site
- AI research evidence record anthropic:33-8
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:33-6
Independent Sources
- AI Parabellum Directory: https://aiparabellum.com/
- Wellows AI: Features, Benefits and Review: https://aiparabellum.com/wellows-ai/
- Wellows Launches AI Content Optimization Feature to Turn Existing Content Into Citation-Winning Assets: https://apnews.com/press-release/access-newswire/wellows-launches-ai-content-optimization-feature-to-turn-existing-content-into-citation-winning-assets-f4b62ab51d54210463185a26b2ccee3c
- Wellows Enters the AI Visibility Race: What Their Perplexity Guide Reveals About Market Maturity: https://archive.authoritytech.io/articles/2026-02-02-curated-wellows-enters-the-ai-visibility-race-what-their-perplexity-guide-reveals-about-market-maturity.html
- CheckThat Wellows Pricing Guide: https://checkthat.ai/
- Wellows Pricing: Plans, Costs & What You'll Actually Pay - Wellows: https://checkthat.ai/brands/wellows/pricing
- Wellows Reviews: What Users Really Think - Wellows: https://checkthat.ai/brands/wellows/reviews
- Dageno AI Platform Comparison: https://dageno.ai/
- Independent Review of Wellows: https://echowi.ai/
- FixAEO Wellows In-Depth Review: https://fixaeo.com/
- Wellows Review (2026): Features, Pricing, Pros & Cons: https://fixaeo.com/blogs/wellows-ai-review/
- Wellows AI Review 2026: Is This AI Visibility Platform Worth It? - Radarkit: https://radarkit.ai/blog/wellows-ai-review/
- Wellows Tool Directory Profile: https://topaitools.com/
- Best Perplexity Tracking Tools 2026: Monitor Brand Visibility & Citations | Mersel AI: https://www.mersel.ai/blog/how-to-track-perplexity-ai-search-visibility
- Wellows Launches AI Search Visibility Platform for Agencies and Startups | Morningstar: https://www.morningstar.com/news/accesswire/1137891msn/wellows-launches-ai-search-visibility-platform-for-agencies-and-startups
Additional AI research evidence108 records
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:1-16
- AI research evidence record anthropic:1-20
- AI research evidence record google:1.2.1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:11-9
- AI research evidence record grok:web:13
- AI research evidence record anthropic:1-2
- AI research evidence record grok:web:8
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record grok:web:11
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:30-7
- AI research evidence record anthropic:30-8
- AI research evidence record deepseek:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:1-3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:35-3
- AI research evidence record google:1.3.1
- AI research evidence record grok:web:11
- AI research evidence record google:1.2.5
- AI research evidence record google:1.2.1
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-2
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:wellows-site
- AI research evidence record kimi:botric-perplexity
- AI research evidence record kimi:presenc-perplexity
- AI research evidence record kimi:norg-guide
- AI research evidence record kimi:fogtrail-optimization
- AI research evidence record kimi:rankplusplus-optimizer
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:6-1
- AI research evidence record anthropic:21-2
- AI research evidence record anthropic:16-6
- AI research evidence record google:2.1.1
- AI research evidence record google:2.1.2
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:6-3
- AI research evidence record anthropic:2-3
- AI research evidence record anthropic:35-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:8-3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:1-20
- AI research evidence record anthropic:33-8
- AI research evidence record anthropic:35-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-11
- AI research evidence record anthropic:27-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:16-6
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record google:2.1.1
- AI research evidence record google:2.1.2
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:14-8
- AI research evidence record anthropic:14-9
- AI research evidence record google:2.2.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-11
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:31-1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:16-6
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:14-9
- AI research evidence record anthropic:31-1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:14-9
- AI research evidence record anthropic:16-6
- AI research evidence record grok:web:9
- AI research evidence record kimi:botric-perplexity
- AI research evidence record kimi:presenc-perplexity
- AI research evidence record kimi:fogtrail-optimization
- AI research evidence record kimi:norg-guide
- AI research evidence record openai:c1
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:16-6
- AI research evidence record anthropic:1-15
- AI research evidence record openai:c3
- AI research evidence record anthropic:14-9
- AI research evidence record google:2.2.1
- AI research evidence record anthropic:33-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:35-1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:wellows-site
- AI research evidence record anthropic:33-8
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:33-6
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
- 37
- 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
15 independent · 22 company-owned
Evidence support
30 direct · 7 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 feb8e53a03c0b4286a3ce9098dad3124555ea84b79c2028d9a44639818fe6d28