One marketing need. Multiple leading AI platforms. One transparent consensus. How it works
AI MarketingConsensus Index

AI Consensus Fit Review

Wellows AI Visibility Platform Fit Review for Citation Tracking

Wellows is a good fit for buyers who need citation-frequency tracking tied to exact prompts, answers, and source URLs across five AI platforms.

Research: 2026-09-197 usable platform responsesRead the methodology ↗

Answer Capsule

Wellows is a good fit for buyers who need citation-frequency tracking tied to exact prompts, answers, and source URLs across five AI platforms. Two of the seven platforms in this study named Wellows during ranking discovery, at an average listed rank of 5.5 and a best rank of 5. Its strongest asset is a citation-first workflow: explicit and implicit citation tracking, competitor-relative citation share, daily historical snapshots, and gap analysis that points to third-party pages the AI already cites. The main limitation is evidence quality: the reviewed material is overwhelmingly vendor-owned, pricing and plan names conflict across sources, and no independent audit of citation accuracy was found.

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 platforms
Share of included platform responses28.6%
Average listed rank5.5
Best listed rank5
Relevant product/model/planLLM Citation Tracking; "Core tier with citation tracking and gap analysis" (mapping to current plans unclear)
Overall use-case fitStrong (2 platforms); Good (3 platforms); Uncertain (2 platforms) — 7 platforms analyzed
Research date2026-09-19

Why Wellows Qualified for This Study

Questions This Section Answers

  • Why did Wellows qualify for this AI visibility citation tracking study if only two platforms named it?
  • Is Wellows a legitimate contender for citation-frequency tracking, or did it qualify on vendor claims alone?

Wellows qualified because it was named during ranking discovery by two of the seven platforms — Anthropic (rank 6) and Kimi (rank 5) — clearing the study's two-mention minimum. That is a thin qualification: five of seven platforms did not name it in the ranking stage, and Kimi's own response stated that Wellows did not appear in its searches of AI visibility tooling directories, independent reviews, or comparative analyses [1].

Once the platforms evaluated it directly, the picture improved. Four of seven rated the fit good or strong (OpenAI, Anthropic, Perplexity, Google), two rated it uncertain (DeepSeek, Kimi), and one rated it strong (Grok). The qualification rests on a documented product surface — a methodology page, a citation-tracking feature page, a pricing page, and a terms-of-service page — rather than on ranking-stage prominence.

This review sits inside a broader comparison of AI Visibility Platforms for Citation Tracking, where Wellows is one of several evaluated options.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Citation Tracking

Questions This Section Answers

  • Which Wellows plan should a buyer choose for citation tracking and gap analysis in 2026?
  • Does Wellows still sell a "Core tier," or has that plan been renamed?

The relevant product is Wellows LLM Citation Tracking, which the ranking stage described as a "Core tier with citation tracking and gap analysis." That tier name does not appear on the current public pricing page, and the mapping is unresolved.

Wellows describes the citation product as tracking explicit citations (linked URLs) and implicit citations (unlinked brand mentions), capturing the complete AI answer, recording exact source URLs, and identifying the platform that produced each answer [2]. The methodology page states that tracked prompts run daily across five AI platforms, with citation-footer extraction, source-level indexing, per-region targeting, and direct and inherited citation scoring [6].

The five documented engines are ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode [6]. Every platform that evaluated the product agreed on this five-engine set.

The plan-name conflict is material. The current public pricing page lists Basic, Standard, Growth, and Scale [9]. Independent reviews describe Lite, Essential, Starter, and Pro [10]. Google's response flagged both structures coexisting on the Wellows site — a per-domain tier model and a credit-pool model — and told buyers to confirm which applies to their account [12]. No platform resolved which structure is current.

What the AI Platforms Agreed About

Questions This Section Answers

  • What citation tracking features do AI platforms agree Wellows actually provides?
  • Does Wellows connect citations to the specific prompts and answers that produced them?

Agreement was strong on capability and weak on verification. Every platform that evaluated the product described the same core feature set, and no platform disputed that the features exist as marketed.

Citation-frequency tracking. Wellows states it runs tracked prompts daily and records direct and third-party citations by query, region, engine, and cited URL [14]. Anthropic noted that unlimited explicit and implicit citation tracking applies on all paid tiers [16]. Perplexity cited a Wellows tools page describing citation-rate tracking [17].

Source-level analysis. The platform extracts citation footers, records exact source URLs, crawls cited pages, and identifies brand, competitor, and category mentions within those pages [14]. Anthropic described the same: exact third-party URLs — reviews, threads, publisher pages — that AI platforms trust and reference [18].

Platform comparisons. Per-platform visibility and citation breakdowns across the five engines [19].

Competitor citation benchmarking. The AI Visibility Score is described as a competitor-relative share of total citations, broken down by competitor, prompt, and platform [19]. Google described prompt-by-prompt citation-gap mapping against named competitors [21].

Historical trends. Performance History is described as daily snapshotting with date-to-date comparisons showing citation gains, losses, score movement, and prompt-level changes [23]. Google described side-by-side date comparison for citations gained or lost [24]. Independent reviews confirm daily dashboard refreshes [25].

Prompt-to-answer linkage. Wellows states each citation is traceable to the original prompt and cited URL, and the citation product includes the complete AI answer [15]. Perplexity described prompt-level tracking of the answer, brand presence, and cited source [27].

Agreement among platforms does not establish that these features work as described. It establishes that the vendor's public documentation says so, and that no platform found contradicting evidence.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How reliable is Wellows' citation data if no independent audit exists?
  • Is Wellows' competitor citation benchmarking granular enough for serious competitive analysis?

The sharpest disagreement was about evidence quality, not features.

Independent validation. OpenAI stated plainly that the reviewed evidence base is vendor-controlled and that no independent audit or credible third-party validation of citation accuracy, coverage, or score correlation was identified [28]. DeepSeek reached the same conclusion, finding no independent, methodologically documented benchmark of Wellows citation-tracking accuracy [31]. Wellows claims its score is observable rather than modeled or extrapolated, but no independent audit of that claim was found [28].

Competitor benchmarking depth. This is the clearest split. OpenAI and Google treated competitor citation share as an advantage [30]. Anthropic rated it neutral, citing an independent review describing Wellows' competitive data as "surface-level" compared with Profound's granular Opportunities panel, which shows exact prompts where competitors appear but the buyer is invisible [33]. Perplexity rated benchmarking unclear, saying the exact methodology and output depth were not verifiable from the checked pages [34].

Platform coverage limits. Anthropic, Google, and OpenAI all flagged that Wellows does not track Claude, Copilot, Grok, DeepSeek, or Chinese engines [36]. Kimi's response listed competitors covering 8 or more engines [38].

Product existence. Kimi could not verify that Wellows offers an AI citation tracking product at all, stating the company name did not appear in AI visibility tooling directories, independent reviews, or comparative analyses [39]. This directly contradicts six other platforms that retrieved Wellows documentation. Kimi's research ran with search enabled via web plugin, so the contradiction is unexplained rather than a no-search artifact.

Enterprise governance. No SOC 2 certification is advertised for Wellows, unlike Brandlight and Profound [40]. OpenAI noted that public materials do not fully specify raw-answer retention, export schema, API availability, sampling controls, model/version labeling, or reproducibility during AI-platform changes [28].

Company background. Founding date, funding, team size, and headquarters were not published on the official site or found in public announcements [36]. The terms of service identify the operating entity as WEBAFFINITI-FZCO, organized under the laws of the United Arab Emirates, with a principal office in Dubai (official:C3).

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Wellows cover all six citation-tracking criteria a buyer needs, including historical trends and prompt linkage?
  • Which citation tracking criteria does Wellows handle well, and which remain unverified?

Wellows maps to all six study criteria, but the strength of evidence varies by criterion.

CriterionAssessmentEvidence
Citation-frequency trackingAdvantageDaily prompt runs; direct and implicit citations by query, region, engine, URL
Source-level analysisAdvantageCitation-footer extraction, exact source URLs, cited-page crawling
Platform comparisonsAdvantagePer-platform visibility and citation breakdowns across five engines
Competitor citation benchmarkingMixedCompetitor-relative citation share documented; independent review calls it "surface-level"
Historical trendsAdvantageDaily snapshots, date-to-date comparison, gains and losses
Citations linked to prompts and answersAdvantage, with gapsPrompt-level tracking with full answer and source URL; historical retention and export unclear

Two additional capabilities appeared across platforms. Gap analysis distinguishes explicit opportunities (competitors cited, buyer absent) from implicit opportunities (brand mentioned without citation) and provides structural recommendations per prompt [41]. Outreach tooling pulls contact details for pages the AI already cites, and Google described a built-in content assistant for drafting articles targeting missed prompts [44]. No platform found published causal evidence that outreach improves citation rates [46].

Agencies get white-label reporting and month-over-month client dashboards per independent reviews [47]. The current pricing page states that projects, seats, and listed integrations are not separately metered [49].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Wellows cost per month for citation tracking, and which pricing model applies?
  • What are Wellows' cancellation, refund, and auto-renewal terms for a citation tracking subscription?

Pricing is the least settled part of this review. Two incompatible structures appear in the supplied sources, and no platform reconciled them.

Credit-pool model (current public pricing page). Basic $29/month with 1,800 credits; Standard $97/month with 6,500 credits; Growth $249/month with 18,000 credits; Scale $497/month with 36,000 credits. One credit equals one prompt run on one AI platform on one day. All published plans include the five listed AI platforms and a 7-day free trial [50]. The page states that engines, citations, sentiment, content work, and outreach are on the $29 plan and the $497 plan alike, with nothing gated by tier (official:C2).

Per-domain model (independent reviews). Lite $37/month per domain (ChatGPT only); Essential $97/month per domain (adds Google AI Overviews); Starter $297/month per domain (all five platforms); Pro $497/month per domain [51]. Under this model, five domains on Starter would cost $1,485/month with no documented bundle discount [53].

Google's response flagged both structures as publicly visible on the Wellows site and told buyers to confirm which applies to their account [54]. Perplexity rated pricing confidence low, noting the exact current price for the Core tier is unclear [56]. DeepSeek could not verify any price for the Core tier [58].

Contract terms. Subscriptions auto-renew unless canceled before the renewal date, and users may cancel at any time via account settings [59]. Fees are non-refundable except where required by law; prepaid amounts may be refunded pro-rata at company discretion (official:C3). Google reported a 30-day money-back guarantee and month-to-month terms with a 7-day trial [54]. OpenAI noted the reviewed pricing page does not clearly state minimum commitment, cancellation timing, refund policy, automatic-renewal treatment, data-retention terms, or service-level commitments [50].

Additional fees. Custom pricing applies above the largest published pool or beyond documented roster capacity [50]. No setup, onboarding, or implementation fees were specified in the sources reviewed [53]. Whether overage credits, top-ups, taxes, or implementation services create additional charges should be confirmed [50].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Wellows for citation tracking across ChatGPT, Gemini, Perplexity, and Google AI surfaces?
  • Is Wellows a good fit for agencies managing multiple client domains and citation-gap workflows?

Wellows fits buyers who want citation tracking and citation-gap remediation in one workflow, and who can tolerate vendor-only evidence.

The strongest fit is marketing teams and agencies tracking citation sources across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode [61]. Buyers who need explicit and implicit citation analysis, competitor citation share, prompt-level context, daily monitoring, and historical change reporting map directly onto the documented feature set [62].

Agencies needing multiple projects, white-label reporting, and pooled prompt capacity are a second strong fit [65]. The current pricing page states that projects are unlimited on every plan and draw on the same credit pool, so a sixth client adds no line item (official:C2).

Teams that want to act on citation gaps rather than only measure them are a third fit. Wellows pairs tracking with outreach contact discovery and content drafting aimed at missed prompts [67]. Buyers should treat the effectiveness of those actions as unproven.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not buy Wellows for citation tracking?
  • Is Wellows unsuitable for enterprises that require SOC 2, SLAs, or audited measurement methodology?

Buyers who need independently validated measurement should look elsewhere. No independent audit of citation accuracy, coverage, or score correlation was identified in the reviewed sources [69]. Organizations requiring audited methodology or defensible measurement should choose a platform with published independent validation.

Enterprises with strict governance requirements are a poor fit. No SOC 2 certification is advertised [71], and public materials do not fully specify SLAs, security documentation, procurement terms, custom data-retention commitments, raw-answer retention, export schema, or API availability [69].

Buyers who need coverage beyond five engines should not choose Wellows. Claude, Copilot, Grok, DeepSeek, and Chinese engines are not tracked [72].

Budget-constrained agencies managing many domains under the per-domain model face steep scaling. Five domains on Starter would run $1,485/month with no documented volume discount [72]. Buyers who need a free tier or a trial without card entry will also find friction: there is no permanent free tier, and the 7-day trial requires credit card entry [72].

Buyers whose primary need is granular, prompt-by-prompt competitor intelligence should weigh alternatives, given the "surface-level" characterization of Wellows' competitive data [74].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Wellows for a buyer who needs audited citation metrics or enterprise procurement terms?
  • When should a buyer choose a broader multi-engine citation tracker over Wellows?

Choose a platform with independent validation or stronger public methodology documentation when measurement defensibility matters more than citation-gap workflow depth. Choose a platform with explicit API, enterprise security, SLA, retention, and procurement documentation when governance requirements are strict.

Choose a broader multi-engine monitoring platform when coverage beyond five engines is essential. Kimi's response named Foglift, GetCited, Visiby, Citare, and Citany as documented alternatives, with Citany monitoring 8 AI engines and Foglift offering a free plan [75]. These are vendor-owned pages describing competitor products, so treat the comparisons as directional.

Choose a lower-cost or lighter tracker when the buyer only needs simple mention monitoring rather than source-level citation analysis. Choose Profound when granular competitor benchmarking is critical, per the independent review that rated Wellows' competitive data as surface-level [80].

Buyers exploring the wider market can browse the ai visibility llm monitoring category directory.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Wellows before signing a citation tracking contract?
  • Which Wellows tier is the commercial equivalent of the recommended Core tier?

The platforms converged on a verification list. Ask these before committing.

Plan and price. Which current paid tier is the commercial equivalent of the recommended "Core" tier, and will the quoted price match the published Standard price ? Is the subscription structured on the per-domain model or the credit-pool model [81]? Are overage credits or top-ups available, and at what price [82]?

Data collection. How are Google AI Overviews and Google AI Mode collected, sampled, and labeled by country, device, language, and result type ? How many model runs occur per response, and how are "responses analyzed" counted [83]? How does Wellows handle AI-engine changes, temporary outages, answer volatility, and backfilled or corrected historical data ?

Data access and retention. Are complete raw AI answers, prompts, cited URLs, timestamps, engine versions, and historical records exportable through CSV or API ? How long does Wellows retain citation and answer history [84]? How are duplicate URLs, redirects, syndicated content, blocked pages, Reddit or forum pages, and implicit citations classified ?

Limits and terms. What are the prompt, region, project, user, API, export, and data-retention limits at each tier ? What are the minimum term, auto-renewal, cancellation, refund, and downgrade rules [82]? What security, privacy, DPA, SSO, access-control, and SLA documentation is available for United States enterprise buyers ?

Validation. Can the buyer run a controlled trial against known prompts and manually verify citation accuracy before committing ? Can Wellows provide customer references or case studies in AI citation tracking [86]?

Final AI Consensus Verdict

Wellows is a good fit for AI Visibility Platforms for Citation Tracking, with material caveats. Four of seven platforms rated the fit good or strong; two rated it uncertain; one rated it strong. No platform rated it a poor fit.

The consensus case rests on a citation-first design: explicit and implicit citation tracking, exact source URLs, prompt-to-answer linkage, competitor-relative citation share, daily historical snapshots, and gap analysis that connects missed citations to specific prompts and platforms. Five-engine coverage on every published plan, per the current pricing page, is a genuine differentiator against competitors that gate engines by tier (official:C2).

The consensus reservations are equally consistent. Evidence is vendor-controlled, with no independent audit of citation accuracy [87]. Pricing and plan names conflict across the official site and independent reviews, and the recommended "Core" tier does not appear on the current pricing page [89]. Competitor benchmarking depth is disputed [92]. Enterprise governance documentation is incomplete [93]. One platform could not verify the product exists at all [94].

Buyers who prioritize source-level citation tracking, prompt-to-answer linkage, and citation-gap workflows across the five documented engines, and who will validate accuracy in a trial, have a reasonable case. Buyers who need audited measurement, broad engine coverage, or mature enterprise terms should look at alternatives first.

How This Review Was Produced

This review was produced from a single research run dated 2026-09-19. Seven AI platforms — OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi — were asked which AI visibility or citation tracking platforms they would recommend for a buyer needing citation-frequency tracking, source-level analysis, platform comparisons, competitor citation benchmarking, historical trends, and citation-to-prompt linkage.

Two of the seven platforms named Wellows during ranking discovery: Anthropic at rank 6 and Kimi at rank 5. All seven then evaluated Wellows directly against the six use-case criteria, producing fit ratings, strengths, limitations, pricing findings, and verification questions. Those responses, plus the citation catalog and retrieved official-page excerpts, are the only inputs used here.

No personal testing, customer interviews, or independent verification was performed. Every factual claim is attributed to a platform response or a cited source, and company-owned claims are labeled as such.

Methodology Limitations

Several limitations qualify this review.

Vendor-controlled evidence. Company-owned citations materially outnumber independent citations in the supplied catalog. Wellows' methodology, feature, and pricing claims come from Wellows-owned pages and should not be read as independently verified [95].

Unresolved pricing conflict. The current public pricing page lists Basic, Standard, Growth, and Scale, while independent reviews describe Lite, Essential, Starter, and Pro. Google reported both structures visible on the Wellows site. This review does not resolve the conflict and does not guess which is current [97].

Unresolved tier mapping. The ranking stage referenced a "Core tier with citation tracking and gap analysis." No platform confirmed that tier exists under that name on the current pricing page [100].

Unverified product existence. Kimi could not verify that Wellows offers an AI citation tracking product, contradicting six other platforms that retrieved Wellows documentation [102]. The contradiction is unexplained.

Platform-reported dates. The authoritative run date is 2026-09-19. DeepSeek's response carries a platform-reported research date of 2026-02-14, roughly seven months earlier. Platform-reported dates are provenance metadata and do not independently prove freshness.

No-search model. DeepSeek's response was produced with search disabled, so its findings rest on model knowledge rather than retrieved evidence and should be treated as platform-reported.

Unvalidated URLs. The supplied URLs were collected from platform responses and were not independently validated during writing.

Missing data. No independent customer outcome evidence was identified. Founding date, funding, headcount, and headquarters were not found in public sources [103]. Raw-answer retention, export schema, API availability, sampling controls, and model-version labeling are not fully specified in public materials [95].

Agreement is not quality. Platform agreement reflects shared reading of public documentation, not proof that Wellows performs as described.

Sources

Company-Owned Sources

  • Citany - AI Brand Visibility Monitor Across 8 AI Engines: https://citany.com/
  • AI Citation Tracking Across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews: https://foglift.io/monitor
  • AI Visibility Platform for ChatGPT, Perplexity and AI Overviews: https://visiby.net/ai-visibility-platform
  • Wellows official website: https://wellows.com/
  • 11 Best AI Visibility Tools for B2B Companies (2026) - Wellows: https://wellows.com/blog/ai-visibility-tools/
  • How Agencies Monitor Mentions in AI Search: https://wellows.com/blog/how-agencies-monitor-mentions-ai-search/
  • How to Use AI for Competitor Analysis in SEO (2026 Guide: https://wellows.com/blog/how-to-use-ai-for-competitor-analysis/
  • LLM Citations & How to Earn them to Build Authority in 2026: https://wellows.com/blog/llm-citations-vs-backlinks/
  • AI Visibility Score: Track Your Brand in AI Search | Wellows: https://wellows.com/features/ai-visibility-score/
  • LLM Citation Tracking: Explicit & Implicit Citations | Wellows: https://wellows.com/features/llm-citations/
  • Citation Performance History for AI Visibility | Wellows: https://wellows.com/features/performance-history/
  • AI Prompt Tracking Across ChatGPT, Gemini & Beyond: https://wellows.com/features/prompt-tracking/
  • How We Measure AI Visibility | Wellows Methodology: https://wellows.com/methodology/
  • Wellows Pricing | AI Search Visibility Plans: https://wellows.com/pricing/
  • AI Search Visibility for Startups: https://wellows.com/solutions/startups/
  • Wellows Terms of Service: Access, Payments, and IP Policy: https://wellows.com/terms-of-service/
  • AI Tools Collection — Powerful AI-Powered Tools: https://wellows.com/tools/
  • AI Overviews Tracker by Wellows — Track Google AI Citations: https://wellows.com/tools/ai-overviews-tracker/
  • Perplexity Visibility Tracker – Free AI Citation Monitor: https://wellows.com/tools/perplexity-visibility-tracker/
  • Brand Radar - AI search visibility monitoring across 5 platforms: https://www.citare.ai/brand-radar
  • Additional AI research evidence103 records
    1. AI research evidence record kimi:search_2026_09_19_no_wellows
    2. AI research evidence record openai:c2
    3. AI research evidence record anthropic:4-1
    4. AI research evidence record grok:web:1
    5. AI research evidence record perplexity:c1
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:1-1
    8. AI research evidence record perplexity:c2
    9. AI research evidence record openai:c5
    10. AI research evidence record anthropic:12-6
    11. AI research evidence record anthropic:14-2
    12. AI research evidence record google:checkthat_pricing
    13. AI research evidence record google:wellows_startups
    14. AI research evidence record openai:c1
    15. AI research evidence record openai:c2
    16. AI research evidence record anthropic:11-17
    17. AI research evidence record perplexity:c14
    18. AI research evidence record anthropic:1-1
    19. AI research evidence record openai:c3
    20. AI research evidence record grok:web:0
    21. AI research evidence record google:wellows_startups
    22. AI research evidence record google:checkthat_pricing
    23. AI research evidence record openai:c4
    24. AI research evidence record google:wellows_features
    25. AI research evidence record anthropic:17-3
    26. AI research evidence record anthropic:17-4
    27. AI research evidence record perplexity:c10
    28. AI research evidence record openai:c1
    29. AI research evidence record openai:c2
    30. AI research evidence record openai:c3
    31. AI research evidence record deepseek:c4
    32. AI research evidence record google:wellows_startups
    33. AI research evidence record anthropic:34-4
    34. AI research evidence record perplexity:c9
    35. AI research evidence record perplexity:c13
    36. AI research evidence record anthropic:1-1
    37. AI research evidence record google:echowi_review
    38. AI research evidence record kimi:citany_2026
    39. AI research evidence record kimi:search_2026_09_19_no_wellows
    40. AI research evidence record anthropic:35-9
    41. AI research evidence record anthropic:10-10
    42. AI research evidence record anthropic:16-4
    43. AI research evidence record anthropic:16-5
    44. AI research evidence record google:echowi_review
    45. AI research evidence record google:wellows_startups
    46. AI research evidence record anthropic:1-1
    47. AI research evidence record anthropic:24-4
    48. AI research evidence record google:techpilot_review
    49. AI research evidence record openai:c5
    50. AI research evidence record openai:c5
    51. AI research evidence record anthropic:12-6
    52. AI research evidence record anthropic:14-2
    53. AI research evidence record anthropic:1-1
    54. AI research evidence record google:checkthat_pricing
    55. AI research evidence record google:wellows_startups
    56. AI research evidence record perplexity:c5
    57. AI research evidence record perplexity:c11
    58. AI research evidence record deepseek:c1
    59. AI research evidence record anthropic:37-2
    60. AI research evidence record anthropic:37-3
    61. AI research evidence record anthropic:1-1
    62. AI research evidence record openai:c1
    63. AI research evidence record openai:c2
    64. AI research evidence record openai:c4
    65. AI research evidence record openai:c5
    66. AI research evidence record anthropic:24-4
    67. AI research evidence record google:echowi_review
    68. AI research evidence record google:wellows_startups
    69. AI research evidence record openai:c1
    70. AI research evidence record deepseek:c4
    71. AI research evidence record anthropic:35-9
    72. AI research evidence record anthropic:1-1
    73. AI research evidence record google:echowi_review
    74. AI research evidence record anthropic:34-4
    75. AI research evidence record kimi:citany_2026
    76. AI research evidence record kimi:foglift_2026_monitor
    77. AI research evidence record kimi:getcited_2026
    78. AI research evidence record kimi:visiby_2026
    79. AI research evidence record kimi:citare_2026
    80. AI research evidence record anthropic:34-4
    81. AI research evidence record google:checkthat_pricing
    82. AI research evidence record openai:c5
    83. AI research evidence record anthropic:1-1
    84. AI research evidence record perplexity:c5
    85. AI research evidence record anthropic:37-2
    86. AI research evidence record kimi:search_2026_09_19_no_wellows
    87. AI research evidence record openai:c1
    88. AI research evidence record deepseek:c4
    89. AI research evidence record openai:c5
    90. AI research evidence record anthropic:12-6
    91. AI research evidence record google:checkthat_pricing
    92. AI research evidence record anthropic:34-4
    93. AI research evidence record anthropic:35-9
    94. AI research evidence record kimi:search_2026_09_19_no_wellows
    95. AI research evidence record openai:c1
    96. AI research evidence record openai:c2
    97. AI research evidence record openai:c5
    98. AI research evidence record anthropic:12-6
    99. AI research evidence record google:checkthat_pricing
    100. AI research evidence record perplexity:c5
    101. AI research evidence record deepseek:c1
    102. AI research evidence record kimi:search_2026_09_19_no_wellows
    103. AI research evidence record anthropic:1-1

Independent Sources

  • Wellows Pricing: Plans, Costs & What You'll Actually Pay - Wellows: https://checkthat.ai/brands/wellows/pricing
  • Wellows Review 2026: Per-Domain Pricing and Outreach: https://echowi.ai/blog/wellows-review/
  • 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 reviews and company profile listings: https://www.g2.com/products/wellows/reviews
  • Search results for AI visibility and citation tracking platforms September 19 2026: https://www.google.com/search?q=AI+visibility+platforms+citation+tracking+2026
  • Additional AI research evidence103 records
    1. AI research evidence record kimi:search_2026_09_19_no_wellows
    2. AI research evidence record openai:c2
    3. AI research evidence record anthropic:4-1
    4. AI research evidence record grok:web:1
    5. AI research evidence record perplexity:c1
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:1-1
    8. AI research evidence record perplexity:c2
    9. AI research evidence record openai:c5
    10. AI research evidence record anthropic:12-6
    11. AI research evidence record anthropic:14-2
    12. AI research evidence record google:checkthat_pricing
    13. AI research evidence record google:wellows_startups
    14. AI research evidence record openai:c1
    15. AI research evidence record openai:c2
    16. AI research evidence record anthropic:11-17
    17. AI research evidence record perplexity:c14
    18. AI research evidence record anthropic:1-1
    19. AI research evidence record openai:c3
    20. AI research evidence record grok:web:0
    21. AI research evidence record google:wellows_startups
    22. AI research evidence record google:checkthat_pricing
    23. AI research evidence record openai:c4
    24. AI research evidence record google:wellows_features
    25. AI research evidence record anthropic:17-3
    26. AI research evidence record anthropic:17-4
    27. AI research evidence record perplexity:c10
    28. AI research evidence record openai:c1
    29. AI research evidence record openai:c2
    30. AI research evidence record openai:c3
    31. AI research evidence record deepseek:c4
    32. AI research evidence record google:wellows_startups
    33. AI research evidence record anthropic:34-4
    34. AI research evidence record perplexity:c9
    35. AI research evidence record perplexity:c13
    36. AI research evidence record anthropic:1-1
    37. AI research evidence record google:echowi_review
    38. AI research evidence record kimi:citany_2026
    39. AI research evidence record kimi:search_2026_09_19_no_wellows
    40. AI research evidence record anthropic:35-9
    41. AI research evidence record anthropic:10-10
    42. AI research evidence record anthropic:16-4
    43. AI research evidence record anthropic:16-5
    44. AI research evidence record google:echowi_review
    45. AI research evidence record google:wellows_startups
    46. AI research evidence record anthropic:1-1
    47. AI research evidence record anthropic:24-4
    48. AI research evidence record google:techpilot_review
    49. AI research evidence record openai:c5
    50. AI research evidence record openai:c5
    51. AI research evidence record anthropic:12-6
    52. AI research evidence record anthropic:14-2
    53. AI research evidence record anthropic:1-1
    54. AI research evidence record google:checkthat_pricing
    55. AI research evidence record google:wellows_startups
    56. AI research evidence record perplexity:c5
    57. AI research evidence record perplexity:c11
    58. AI research evidence record deepseek:c1
    59. AI research evidence record anthropic:37-2
    60. AI research evidence record anthropic:37-3
    61. AI research evidence record anthropic:1-1
    62. AI research evidence record openai:c1
    63. AI research evidence record openai:c2
    64. AI research evidence record openai:c4
    65. AI research evidence record openai:c5
    66. AI research evidence record anthropic:24-4
    67. AI research evidence record google:echowi_review
    68. AI research evidence record google:wellows_startups
    69. AI research evidence record openai:c1
    70. AI research evidence record deepseek:c4
    71. AI research evidence record anthropic:35-9
    72. AI research evidence record anthropic:1-1
    73. AI research evidence record google:echowi_review
    74. AI research evidence record anthropic:34-4
    75. AI research evidence record kimi:citany_2026
    76. AI research evidence record kimi:foglift_2026_monitor
    77. AI research evidence record kimi:getcited_2026
    78. AI research evidence record kimi:visiby_2026
    79. AI research evidence record kimi:citare_2026
    80. AI research evidence record anthropic:34-4
    81. AI research evidence record google:checkthat_pricing
    82. AI research evidence record openai:c5
    83. AI research evidence record anthropic:1-1
    84. AI research evidence record perplexity:c5
    85. AI research evidence record anthropic:37-2
    86. AI research evidence record kimi:search_2026_09_19_no_wellows
    87. AI research evidence record openai:c1
    88. AI research evidence record deepseek:c4
    89. AI research evidence record openai:c5
    90. AI research evidence record anthropic:12-6
    91. AI research evidence record google:checkthat_pricing
    92. AI research evidence record anthropic:34-4
    93. AI research evidence record anthropic:35-9
    94. AI research evidence record kimi:search_2026_09_19_no_wellows
    95. AI research evidence record openai:c1
    96. AI research evidence record openai:c2
    97. AI research evidence record openai:c5
    98. AI research evidence record anthropic:12-6
    99. AI research evidence record google:checkthat_pricing
    100. AI research evidence record perplexity:c5
    101. AI research evidence record deepseek:c1
    102. AI research evidence record kimi:search_2026_09_19_no_wellows
    103. AI research evidence record anthropic:1-1

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
35
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

11 independent · 24 company-owned

Evidence support

30 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 60fa768f885bddac1f9b2ed8b5fcd381c46ecfaaa48adedbe408c40e4e16b560