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AI Consensus Fit Review

Wellows AI Visibility Platform Fit Review for Historical Trend Tracking

Wellows is a good fit for companies that need historical, prompt-level citation and visibility comparisons across major AI answer platforms.

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

Answer Capsule

Wellows is a good fit for companies that need historical, prompt-level citation and visibility comparisons across major AI answer platforms. Two of the seven platforms in this study named Wellows during the ranking stage — Google and Kimi — giving it a 28.6% share of included platform responses, an average listed rank of 4.5, and a best listed rank of 3. The strongest reason to consider it is its Citation Performance History feature, which Wellows says stores daily snapshots and supports date-to-date, prompt-level citation diffs. The main limitation is that public pricing, plan names, and historical retention terms conflict across Wellows' own pages and remain unverified by independent evidence.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (Google, Kimi)
Share of included platform responses28.6%
Average listed rank4.5
Best listed rank3 (Kimi)
Relevant product/model/planCitation Performance History feature; Wellows AI Overviews Tracker
Overall use-case fitGood (per OpenAI, Anthropic, Perplexity); Strong (per Google, Grok); Uncertain (per DeepSeek, Kimi)
Research date2026-09-19

Why Wellows Qualified for This Study

Questions This Section Answers

  • Is Wellows a good choice for AI visibility platforms for historical trend tracking?
  • How many AI platforms named Wellows in this historical trend tracking study?

Wellows qualified because it was named by two of the seven platforms during ranking discovery and because its publicly documented feature set maps directly to the study's criteria: historical recommendation data, citation trends, competitor movement, prompt-level changes, platform differences, and snapshots that are not overwritten by newer results. Google ranked Wellows at position 6 and Kimi ranked it at position 3, producing an average listed rank of 4.5 and a best listed rank of 3. The remaining five platforms evaluated Wellows' fit but did not name it during ranking discovery, so their fit ratings are recorded separately from the mention count.

The entity's relevant products are the Citation Performance History feature and the Wellows AI Overviews Tracker. Wellows describes Citation Performance History as daily snapshot-based date comparison with prompt-level citation diffs, platform, region, competitor, topic, intent, mention-type, and sentiment filters, plus exports [1]. Wellows also states that it tracks ChatGPT, Google AI Overview, Google AI Mode, Perplexity, and Gemini, with per-platform competitor comparisons refreshed every 24 hours [2].

Fit ratings across the seven platforms were split: Google and Grok rated Wellows a strong fit, OpenAI, Anthropic, and Perplexity rated it a good fit, and DeepSeek and Kimi rated it uncertain. That spread is itself a finding — the disagreement centers on evidence quality and pricing clarity rather than on whether the historical-tracking feature exists.

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

Questions This Section Answers

  • Which Wellows feature should a buyer evaluate first for month-by-month AI visibility trend tracking?
  • Does Wellows' Citation Performance History support prompt-level citation diffs between two dates?

The most relevant product is the Citation Performance History feature, supported by the Wellows AI Overviews Tracker. Wellows states that Citation Performance History stores daily snapshots, permits comparison of any two dates, and shows citation score, total citations, tracked prompts, and prompt-level new-versus-lost citation changes [3]. Wellows also says each date is retained as a fixed snapshot captured every 24 hours and that historical comparisons use the captured snapshot rather than reconstructing prior results [3].

Independent and company-adjacent descriptions align on the mechanics. A review on godofprompt.ai describes a Historical Overview feature for analyzing past performance and how Citation Score, explicit mentions, and implicit opportunities change over time, with historical data available from the date the user began using Wellows [4]. A startuptalky.com review describes a historical performance table showing each query's topic, intent, mention type, citation count, and citation score [6]. Wellows' own features page states that every plan includes full access to historical data [7], and its pricing page repeats that claim [8].

The AI Overviews Tracker is the second relevant surface. Wellows describes it as tracking how citations appear within Google AI Overviews and tying daily movement to performance monitoring [9], and as monitoring citations across ChatGPT, Perplexity, Gemini, and AI Mode in addition to Google [10]. One Wellows page describes the AI Overviews Tracker as completely free [11], which conflicts with the paid plan structure described elsewhere — a discrepancy buyers should resolve directly.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Wellows does well for historical AI visibility trend tracking?
  • Does Wellows preserve daily snapshots so older AI citation results are not overwritten?

The platforms broadly agreed on three points: daily snapshotting, date-to-date comparison, and prompt-level change visibility.

On daily snapshots, Wellows states that it snapshots citation data daily across ChatGPT, Google AI Overview, Google AI Mode, Perplexity, and Gemini [12], and that monitoring is daily across all plans [14]. Google's response describes automatic snapshots every 24 hours with older results preserved rather than overwritten [15]. Grok's response describes daily monitoring with full historical access on all plans and Performance History preserving date-specific data for before/after comparisons [16].

On date-to-date comparison, Wellows says users pick primary and compare dates, filter by platform, and see citation and visibility score changes per platform or combined [18]. It also says the comparison surfaces citation spikes and declines on specific prompts with new-versus-lost citation details [19]. Perplexity's response cites a Wellows blog stating Performance History allows selecting past dates and seeing exact snapshots, with all-time history on every plan [20].

On prompt-level change visibility, Wellows says users can drill into individual prompts to identify citations gained or lost between selected dates [21]. Google's response describes a prompt-level "diff" that isolates which prompts changed and which citations were lost [15].

Agreement here is strong but not unanimous in depth. DeepSeek's response states that no reviewed Wellows page documents prompt-level history or change logs across time, so that criterion was unverified in its review [23]. Kimi's response states that no verifiable information about Wellows products was found in its search results at all [25]. Those two responses are the source of the "uncertain" ratings and should be read as evidence gaps, not as contradictions of the company's claims.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Wellows uncertain for historical trend tracking?
  • Is Wellows' historical snapshot retention period documented anywhere publicly?

The sharpest disagreement is about verifiability, not capability. Google and Grok rated Wellows a strong fit [26]. OpenAI, Anthropic, and Perplexity rated it good while flagging pricing and retention gaps [28]. DeepSeek and Kimi rated it uncertain because their searches did not surface enough public documentation to confirm the historical-data mechanics [31].

Retention is the clearest unresolved question. OpenAI's response states that the reviewed sources do not establish how long historical snapshots are retained or whether snapshots are cryptographically or independently protected from overwrite [33]. Anthropic's response states that no published data retention cutoff or maximum historical lookback window exists, and that the buyer must verify whether data is retained one year, indefinitely, or subject to rotation [34]. Perplexity's response reaches the same conclusion [37]. Grok's response notes that exact credit-to-prompt conversion and long-term data retention policies are not fully detailed in public pages [38].

Platform coverage is a second area of uncertainty. Wellows publicly lists five platforms [39]. Anthropic's response notes that Microsoft Copilot is listed by some third-party reviewers but remained unverified on the Wellows platform as of testing [40]. Google's response states that Claude, Grok, DeepSeek, and Copilot are absent from historical tracking [41].

A third uncertainty is competitive-intelligence depth. One independent review states that missing prompt volume data, shallow competitive intelligence, and inconsistent pricing transparency make it hard to recommend beyond the Lite tier [42], and that Wellows does not provide prompt volume data, making it harder to know whether tracked prompts have meaningful audience demand [43]. Another independent review praises Wellows for making AI citation tracking approachable but notes that depth beyond monitoring is limited [44].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Which Wellows capabilities matter most for tracking competitor movement in AI answers over time?
  • Can Wellows export historical citation comparisons for client or board reporting?

Wellows' documented capabilities map to the study criteria as follows.

Historical recommendation and citation data. Wellows states that Citation Performance History stores daily snapshots, permits comparison of any two dates, and shows citation score, total citations, tracked prompts, and prompt-level new-versus-lost citation changes [45]. It also states that each tracked prompt and response is coded positive, neutral, or negative, showing sentiment distribution across prompts [46].

Competitor movement. Wellows states that tracked competitors are included in snapshots and can be compared across dates, including competitor standing and prompt-specific movement [45]. Google's response describes benchmarking against real competitors and tracking competitor citations and gaps over time [47]. Independent reviewers, however, describe competitive intelligence as shallow relative to alternatives [49].

Prompt-level changes. Wellows claims users can drill into individual prompts to identify citations gained or lost between selected dates [45]. It also states that gap analysis tells which structural changes are needed and Performance History shows whether pages earn citations after changes are implemented [51].

Platform differences. Wellows publicly lists ChatGPT, Google AI Overview, Google AI Mode, Perplexity, and Gemini, with per-platform visibility and competitor comparisons refreshed every 24 hours [52]. Google's response notes that AI Mode is tracked as a distinct surface that many other visibility tools do not separate [54].

Snapshots not overwritten. Wellows claims each date is retained as a fixed snapshot captured every 24 hours and that historical comparisons use the captured snapshot rather than reconstructing prior results [45]. This claim is company-reported and was not independently validated in the reviewed sources.

Reporting and export. Wellows states that historical comparisons can be filtered by platform, region, competitor, topic, intent, mention type, and sentiment, then exported for client or leadership reporting [45]. It also states that Prompts and Responses tabs support CSV export and that Performance History enables date-vs-date comparison export [55].

Refresh cadence. Monitoring is described as daily or every 24 hours, not real time [45]. This suits trend reporting but may miss intra-day volatility.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Wellows cost per month for historical AI visibility tracking, and are there setup fees?
  • Does Wellows charge per domain, and how does that affect an agency tracking multiple clients?

Wellows' public pricing conflicts across its own pages, and buyers should treat every figure below as requiring direct confirmation.

The current pricing page lists Lite at $37 per domain/month, Essential at $97 per domain/month, Starter at $297 per domain/month, and Pro at $497 per domain/month, with a 7-day trial [57]. A separate Wellows information page describes Basic, Standard, Growth, and Scale plans priced at $29, $97, $249, and $497 per month using credit pools of 1,800, 6,500, 18,000, and 36,000 credits, and states that the older plan names are retired [58]. The retrieved pricing page excerpt shows Basic at $29 with 1,800 credits, Standard at $97 with 6,500 credits, Growth at $249 with 15,000 credits, and Scale at $497 with 15,000 credits, and states that all five engines are included on every plan with unlimited projects (official:C2).

Independent sources add further variation. One review lists Lite at $37 per domain per month with one answer engine (ChatGPT), 40 prompts, 2 content generations, and 1,200 responses analyzed [59]. Another lists $37 for Lite, $97 for Essential, $297 for Starter with Gemini, Perplexity, and AI Mode added, and $497 for Pro with 1,000 prompts [61]. A third states that every plan includes a 7-day free trial and nothing more, with no permanent free tier [62]. One directory states that each domain requires a full-price subscription with no publicly documented volume discounts, and that managing five domains on the Starter tier costs $1,485/month [63]. Another review notes that the $37 Lite plan does not appear consistently on Wellows' own website as of July 2026, with third-party listings showing $37–$79.99/month [65].

On contract terms, the pricing page states that plans can be upgraded or downgraded at any time [57]. Anthropic's response states monthly billing on all published plans, no annual contract or annual discount published, a 7-day free trial with full platform access, and no setup fees published [66]. The retrieved terms-of-service excerpt states that subscriptions automatically renew unless canceled before the renewal date, 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 reviewed sources do not clearly state cancellation timing, refunds after trial, annual-contract requirements, renewal terms, or historical-data treatment after cancellation [58].

Best Suited For

Questions This Section Answers

  • Which type of buyer gets the most value from Wellows for historical AI visibility trend tracking?

Wellows is best suited to marketing, SEO, brand, and agency teams that need defensible before-and-after AI visibility reporting [67]. It fits buyers tracking citation movement and competitors across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, and Gemini [68]. It also fits teams that need prompt-level explanations for changes rather than only aggregate visibility scores [69].

Anthropic's response narrows this further to single-domain brands optimizing for AI citation presence, agencies serving individual clients, teams focused on measuring citation gains rather than volume-based demand, organizations needing day-by-day visibility tracking with historical snapshots, and companies using monthly or campaign-level comparison workflows [70]. Google's response frames the best fit as comparing AI visibility on any two arbitrary dates using daily snapshot baselines and auditing historical changes across the five tracked engines [72].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Wellows for historical AI visibility trend tracking?

Wellows is probably not the right choice for buyers requiring real-time monitoring, independently audited data reliability, or guaranteed preservation of every historical response [73]. It is also a poor fit for organizations needing broad platform coverage beyond the five platforms publicly listed by Wellows [74].

Anthropic's response adds agencies managing 10 or more client domains, buyers requiring prompt volume or search demand estimation, organizations seeking comprehensive enterprise AI intelligence, teams new to AI visibility without existing SEO or marketing infrastructure, and buyers needing a free or near-free tier beyond the 7-day trial [76]. Google's response adds companies seeking historical trend tracking on Claude, Grok, DeepSeek, or Microsoft Copilot, multi-brand agencies on a tight budget, and buyers looking for traditional SEO keyword ranking histories rather than AI citation tracking [79].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Wellows for a buyer who needs more than five AI engines tracked historically?
  • When should a buyer choose a lower-cost AI visibility tracker instead of Wellows?

Choose another platform when independent third-party validation, formal data-retention commitments, or audit-grade historical evidence is mandatory [80]. Choose a broader multi-platform observability vendor when the buyer requires platforms not listed by Wellows or wants real-time, event-level monitoring [81]. Choose a lower-cost or more specialized tracker when only one platform, a small prompt set, or basic historical charts are needed [82].

Anthropic's response names specific alternatives: Profound for deeper prompt-level data, prompt volume, 10+ AI engines, and documented enterprise outcomes [83]; Radarkit for a lower entry price of $29/month with live browser session emulation [84]. Kimi's response names Presenc AI for daily snapshots and indefinite prompt history with multi-year trend lines [86], Meev for mention rate per prompt with timestamped history [87], SE Visible for daily refreshed real-browser data with roughly 30,000 checks per month on the Basic plan from $99 [88], Vazi for weekly automated scans with full historical data at $29/month flat pricing [89], DeepSmith for 7, 30, and 90-day trend ranges [90], and Rankscale for 17+ engines tracked [91]. These are platform-reported alternatives from a response that also stated it could not verify Wellows itself, so treat the comparison as directional.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Wellows about historical data retention before signing a contract?
  • Which Wellows plan names and prices are actually current on the purchase date?

The following questions come from the platform research and should be answered in writing before purchase.

Which plan names, prices, billing unit, and credit allowances are effective on the purchase date [92]? Is the quoted price per domain, per project, per workspace, or per credit pool, and are there overage charges [93]? How many historical days or months are retained, and does retention continue after cancellation or downgrade [95]? Are historical snapshots immutable, versioned, and exportable with timestamps, raw responses, citations, prompts, region, and platform metadata [97]? How are AI-platform model changes, outages, answer regeneration, localization, and citation-format changes handled [92]? Can the buyer lock prompt sets and competitor lists, and is every change logged so trend comparisons remain comparable [98]? What exact platforms, regions, languages, and answer modes are included in the selected plan [99]? Are exports available in CSV, API, or raw-response form, and are there limits or additional fees [101]? What are the cancellation, refund, renewal, support, and data-deletion terms (official:C3)? Can Wellows provide a trial demonstration showing that an older snapshot remains unchanged after newer data is collected [97]?

Final AI Consensus Verdict

Wellows is a good fit for historical AI citation and visibility trend tracking, especially when the buyer values daily fixed snapshots, prompt-level change analysis, competitor movement, platform segmentation, and exportable reporting [102]. It should not be treated as an audit-grade or real-time monitoring system without verifying retention, immutability, raw-data access, platform coverage, and current commercial terms [105].

The consensus is qualified rather than clean. Two platforms rated it strong, three rated it good, and two rated it uncertain. The uncertainty traces to evidence gaps — conflicting public pricing, undocumented retention windows, and limited independent validation — not to documented feature failures. Buyers who need month-over-month AI visibility trend tracking and can resolve the pricing and retention questions directly with the vendor will find the feature set aligned with the use case. Buyers who need audit-grade historical evidence, real-time monitoring, or coverage beyond five AI platforms should evaluate alternatives first.

How This Review Was Produced

This review aggregates fit-research responses from seven AI platforms — OpenAI, Anthropic, Google, Grok, Kimi, DeepSeek, and Perplexity — each asked to recommend AI Visibility Platforms for Historical Trend Tracking and to assess Wellows against the study criteria. The study date is 2026-09-19. Two platforms named Wellows during ranking discovery; all seven evaluated its fit. Fit ratings, strengths, limitations, pricing findings, and verification questions were taken from the supplied platform responses and their cited sources. Company-owned citations materially outnumber independent citations in the underlying evidence, so company claims are labeled as company-reported throughout. No personal testing, customer interviews, or independent verification of Wellows' data integrity was performed for this review.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date: DeepSeek's response is dated 2026-06-12 while the remaining six are dated 2026-09-19, so DeepSeek's findings may be less current [107]. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned citations materially outnumber independent citations, so company claims should not be read as independently verified. Kimi's response stated that no verifiable information about Wellows products was found in its search results, which is an evidence gap rather than a finding that the products do not exist [108]. DeepSeek's response was produced without search enabled, so its conclusions rest on a narrower evidence base [107]. Public pricing, plan names, and billing units conflict across Wellows' own pages and third-party listings, and this review does not resolve those conflicts. Historical retention length, snapshot immutability controls, audit logs, and data-correction policies are not publicly specified in the reviewed sources. Wellows states that AI visibility tracking cannot guarantee citations, rankings, or traffic and does not predict exact AI responses, so all findings are observational [109].

Explore more ai visibility llm monitoring guidance in the category directory.

Sources

Company-Owned Sources

  • AI Visibility Tracker for ChatGPT & AI Overviews: https://ai-visibility.keyword.com/
  • AI Search Visibility Tracking & Analytics: https://deepsmith.ai/platform/ai-visibility
  • AI Visibility Tracker: Continuous Share-of-Answer Tracking: https://meev.ai/ai-visibility-tracker
  • Vazi — AI Visibility Tracking for Brands: https://vazi.io/
  • Visibility Tracker — See Every AI Answer: https://viali.ai/product/visibility-tracking/
  • SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
  • AI Visibility Platform for ChatGPT, Perplexity & AI Overviews: https://visiby.net/ai-visibility-platform
  • Official Information About Wellows | AI Visibility Platform: https://wellows.com/ai-info/
  • Wellows AI Overviews Tracker: https://wellows.com/ai-overviews-tracker/
  • How to Optimize for Google AI Overviews for Better: https://wellows.com/blog/ai-overviews-optimization/
  • 11 Best AI Visibility Tools for B2B Companies (2026) - Wellows: https://wellows.com/blog/ai-visibility-tools/
  • Generative Engine Optimization with Wellows: https://wellows.com/blog/generative-engine-optimization
  • How Does Google AI Visibility Tracking Fix the Search Console Blind Spot in AI Overviews: https://wellows.com/blog/google-ai-visibility-tracking/
  • How Agencies Monitor Mentions in AI Search - Wellows: https://wellows.com/blog/how-agencies-monitor-mentions-ai-search/
  • Wellows vs Peec AI: Intelligence Gap or Execution Gap?: https://wellows.com/blog/wellows-vs-peec-ai/
  • Wellows Features | Brand AI Search Visibility: https://wellows.com/features/
  • Wellows Citation Performance History: https://wellows.com/features/citation-performance-history
  • LLM Citation Tracking: Explicit & Implicit Citations | Wellows: https://wellows.com/features/llm-citations/
  • LLM Visibility Tracking Across 5 AI Platforms | Wellows: https://wellows.com/features/llm-visibility/
  • Citation Performance History for AI Visibility | Wellows: https://wellows.com/features/performance-history/
  • AI Prompt Tracking Across ChatGPT, Gemini & Beyond | Wellows: 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/
  • AI Overviews Tracker by Wellows — Track Google AI Citations: https://wellows.com/tools/ai-overviews-tracker/
  • Official pricing and terms source: https://wellows.com/terms-of-service/
  • Additional AI research evidence109 records
    1. AI research evidence record openai:citation_performance_history
    2. AI research evidence record openai:llm_visibility
    3. AI research evidence record openai:citation_performance_history
    4. AI research evidence record anthropic:8-2
    5. AI research evidence record anthropic:8-4
    6. AI research evidence record anthropic:11-7
    7. AI research evidence record anthropic:10-3
    8. AI research evidence record anthropic:24-9
    9. AI research evidence record anthropic:1-1
    10. AI research evidence record anthropic:1-4
    11. AI research evidence record perplexity:c1
    12. AI research evidence record anthropic:2-2
    13. AI research evidence record anthropic:13-6
    14. AI research evidence record anthropic:10-12
    15. AI research evidence record google:1.1.1
    16. AI research evidence record grok:web:6
    17. AI research evidence record grok:web:11
    18. AI research evidence record anthropic:13-7
    19. AI research evidence record anthropic:2-16
    20. AI research evidence record perplexity:c6
    21. AI research evidence record openai:citation_performance_history
    22. AI research evidence record openai:prompt_tracking
    23. AI research evidence record deepseek:c1
    24. AI research evidence record deepseek:c2
    25. AI research evidence record kimi:web_search_2026
    26. AI research evidence record google:1.1.1
    27. AI research evidence record grok:web:9
    28. AI research evidence record openai:official_information
    29. AI research evidence record anthropic:25-5
    30. AI research evidence record perplexity:c3
    31. AI research evidence record deepseek:c1
    32. AI research evidence record kimi:web_search_2026
    33. AI research evidence record openai:citation_performance_history
    34. AI research evidence record anthropic:10-3
    35. AI research evidence record anthropic:24-9
    36. AI research evidence record anthropic:8-4
    37. AI research evidence record perplexity:c6
    38. AI research evidence record grok:web:6
    39. AI research evidence record openai:llm_visibility
    40. AI research evidence record anthropic:22-6
    41. AI research evidence record google:1.2.2
    42. AI research evidence record anthropic:41-1
    43. AI research evidence record anthropic:41-4
    44. AI research evidence record anthropic:44-3
    45. AI research evidence record openai:citation_performance_history
    46. AI research evidence record anthropic:7-3
    47. AI research evidence record google:1.3.5
    48. AI research evidence record google:1.4.2
    49. AI research evidence record anthropic:41-1
    50. AI research evidence record openai:prompt_tracking
    51. AI research evidence record anthropic:3-13
    52. AI research evidence record openai:llm_visibility
    53. AI research evidence record anthropic:3-2
    54. AI research evidence record google:1.1.1
    55. AI research evidence record anthropic:7-6
    56. AI research evidence record openai:official_information
    57. AI research evidence record openai:pricing_page
    58. AI research evidence record openai:official_information
    59. AI research evidence record anthropic:21-5
    60. AI research evidence record anthropic:21-6
    61. AI research evidence record anthropic:22-1
    62. AI research evidence record anthropic:23-12
    63. AI research evidence record anthropic:19-3
    64. AI research evidence record anthropic:19-4
    65. AI research evidence record anthropic:25-3
    66. AI research evidence record anthropic:24-9
    67. AI research evidence record openai:citation_performance_history
    68. AI research evidence record openai:llm_visibility
    69. AI research evidence record openai:prompt_tracking
    70. AI research evidence record anthropic:2-6
    71. AI research evidence record anthropic:4-7
    72. AI research evidence record google:1.1.1
    73. AI research evidence record openai:official_information
    74. AI research evidence record openai:llm_visibility
    75. AI research evidence record anthropic:22-6
    76. AI research evidence record anthropic:19-3
    77. AI research evidence record anthropic:41-4
    78. AI research evidence record anthropic:23-12
    79. AI research evidence record google:1.2.2
    80. AI research evidence record openai:official_information
    81. AI research evidence record openai:llm_visibility
    82. AI research evidence record openai:pricing_page
    83. AI research evidence record anthropic:41-6
    84. AI research evidence record anthropic:45-2
    85. AI research evidence record anthropic:45-8
    86. AI research evidence record kimi:presenc_ai
    87. AI research evidence record kimi:meev
    88. AI research evidence record kimi:se_visible
    89. AI research evidence record kimi:vazi
    90. AI research evidence record kimi:deepsmith
    91. AI research evidence record kimi:rankscale
    92. AI research evidence record openai:official_information
    93. AI research evidence record openai:pricing_page
    94. AI research evidence record anthropic:19-3
    95. AI research evidence record anthropic:10-3
    96. AI research evidence record anthropic:24-9
    97. AI research evidence record openai:citation_performance_history
    98. AI research evidence record anthropic:4-13
    99. AI research evidence record openai:llm_visibility
    100. AI research evidence record anthropic:22-6
    101. AI research evidence record anthropic:7-6
    102. AI research evidence record openai:citation_performance_history
    103. AI research evidence record anthropic:2-7
    104. AI research evidence record google:1.1.1
    105. AI research evidence record openai:official_information
    106. AI research evidence record anthropic:10-3
    107. AI research evidence record deepseek:c1
    108. AI research evidence record kimi:web_search_2026
    109. AI research evidence record anthropic:37-2

Independent Sources

  • Wellows Pricing: Plans, Costs & What You'll Actually Pay: https://checkthat.ai/brands/wellows/pricing
  • Wellows Reviews: What Users Really Think: https://checkthat.ai/brands/wellows/reviews
  • Wellows Review 2026: Per-Domain Pricing and Outreach: https://echowi.ai/blog/wellows-review/
  • Wellows Review 2026 & Pricing Analysis: https://fixaeo.com/blog/wellows-review
  • Wellows Review (2026): Features, Pricing, Pros & Cons: https://fixaeo.com/blogs/wellows-ai-review/
  • Wellows Review: An Exploration Of This AI Ranking Optimization Tool: https://godofprompt.ai/blog/wellows-review-an-exploration-of-this-ai-ranking/
  • Wellows Review: Is it Worth It?: https://godofprompt.ai/wellows-review
  • Web search results for AI visibility platforms - no Wellows mention: https://presenc.ai/use-cases/historical-ai-brand-mention-trends
  • Wellows AI Review 2026: Is This AI Visibility Platform Worth It? - Radarkit: https://radarkit.ai/blog/wellows-ai-review/
  • Best 5 Wellows Alternatives for AI SEO and GEO: https://radarkit.ai/blog/wellows-alternatives/
  • Wellows Review: AI Visibility Platform to Grow Your Brand in AI Search: https://startuptalky.com/wellows-review-ai-search-visibility-platform/
  • Wellows Review: Does It Truly Show How AI Sees Your Brand: https://www.allaboutai.com/ai-reviews/wellows/
  • Additional AI research evidence109 records
    1. AI research evidence record openai:citation_performance_history
    2. AI research evidence record openai:llm_visibility
    3. AI research evidence record openai:citation_performance_history
    4. AI research evidence record anthropic:8-2
    5. AI research evidence record anthropic:8-4
    6. AI research evidence record anthropic:11-7
    7. AI research evidence record anthropic:10-3
    8. AI research evidence record anthropic:24-9
    9. AI research evidence record anthropic:1-1
    10. AI research evidence record anthropic:1-4
    11. AI research evidence record perplexity:c1
    12. AI research evidence record anthropic:2-2
    13. AI research evidence record anthropic:13-6
    14. AI research evidence record anthropic:10-12
    15. AI research evidence record google:1.1.1
    16. AI research evidence record grok:web:6
    17. AI research evidence record grok:web:11
    18. AI research evidence record anthropic:13-7
    19. AI research evidence record anthropic:2-16
    20. AI research evidence record perplexity:c6
    21. AI research evidence record openai:citation_performance_history
    22. AI research evidence record openai:prompt_tracking
    23. AI research evidence record deepseek:c1
    24. AI research evidence record deepseek:c2
    25. AI research evidence record kimi:web_search_2026
    26. AI research evidence record google:1.1.1
    27. AI research evidence record grok:web:9
    28. AI research evidence record openai:official_information
    29. AI research evidence record anthropic:25-5
    30. AI research evidence record perplexity:c3
    31. AI research evidence record deepseek:c1
    32. AI research evidence record kimi:web_search_2026
    33. AI research evidence record openai:citation_performance_history
    34. AI research evidence record anthropic:10-3
    35. AI research evidence record anthropic:24-9
    36. AI research evidence record anthropic:8-4
    37. AI research evidence record perplexity:c6
    38. AI research evidence record grok:web:6
    39. AI research evidence record openai:llm_visibility
    40. AI research evidence record anthropic:22-6
    41. AI research evidence record google:1.2.2
    42. AI research evidence record anthropic:41-1
    43. AI research evidence record anthropic:41-4
    44. AI research evidence record anthropic:44-3
    45. AI research evidence record openai:citation_performance_history
    46. AI research evidence record anthropic:7-3
    47. AI research evidence record google:1.3.5
    48. AI research evidence record google:1.4.2
    49. AI research evidence record anthropic:41-1
    50. AI research evidence record openai:prompt_tracking
    51. AI research evidence record anthropic:3-13
    52. AI research evidence record openai:llm_visibility
    53. AI research evidence record anthropic:3-2
    54. AI research evidence record google:1.1.1
    55. AI research evidence record anthropic:7-6
    56. AI research evidence record openai:official_information
    57. AI research evidence record openai:pricing_page
    58. AI research evidence record openai:official_information
    59. AI research evidence record anthropic:21-5
    60. AI research evidence record anthropic:21-6
    61. AI research evidence record anthropic:22-1
    62. AI research evidence record anthropic:23-12
    63. AI research evidence record anthropic:19-3
    64. AI research evidence record anthropic:19-4
    65. AI research evidence record anthropic:25-3
    66. AI research evidence record anthropic:24-9
    67. AI research evidence record openai:citation_performance_history
    68. AI research evidence record openai:llm_visibility
    69. AI research evidence record openai:prompt_tracking
    70. AI research evidence record anthropic:2-6
    71. AI research evidence record anthropic:4-7
    72. AI research evidence record google:1.1.1
    73. AI research evidence record openai:official_information
    74. AI research evidence record openai:llm_visibility
    75. AI research evidence record anthropic:22-6
    76. AI research evidence record anthropic:19-3
    77. AI research evidence record anthropic:41-4
    78. AI research evidence record anthropic:23-12
    79. AI research evidence record google:1.2.2
    80. AI research evidence record openai:official_information
    81. AI research evidence record openai:llm_visibility
    82. AI research evidence record openai:pricing_page
    83. AI research evidence record anthropic:41-6
    84. AI research evidence record anthropic:45-2
    85. AI research evidence record anthropic:45-8
    86. AI research evidence record kimi:presenc_ai
    87. AI research evidence record kimi:meev
    88. AI research evidence record kimi:se_visible
    89. AI research evidence record kimi:vazi
    90. AI research evidence record kimi:deepsmith
    91. AI research evidence record kimi:rankscale
    92. AI research evidence record openai:official_information
    93. AI research evidence record openai:pricing_page
    94. AI research evidence record anthropic:19-3
    95. AI research evidence record anthropic:10-3
    96. AI research evidence record anthropic:24-9
    97. AI research evidence record openai:citation_performance_history
    98. AI research evidence record anthropic:4-13
    99. AI research evidence record openai:llm_visibility
    100. AI research evidence record anthropic:22-6
    101. AI research evidence record anthropic:7-6
    102. AI research evidence record openai:citation_performance_history
    103. AI research evidence record anthropic:2-7
    104. AI research evidence record google:1.1.1
    105. AI research evidence record openai:official_information
    106. AI research evidence record anthropic:10-3
    107. AI research evidence record deepseek:c1
    108. AI research evidence record kimi:web_search_2026
    109. AI research evidence record anthropic:37-2

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
41
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

13 independent · 28 company-owned

Evidence support

35 direct · 6 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 3398846a0eff0d431c2a7213443403bd45b3d0745b80a8da5d6db5ae168f01ec