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AI Consensus Fit Review

TopSlot AI Market Intelligence Platform Fit Review for Product Positioning

TopSlot is a qualified but contested fit for AI market intelligence work on product positioning.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

TopSlot is a qualified but contested fit for AI market intelligence work on product positioning. Two of seven platforms named it during ranking discovery — DeepSeek (rank 5) and Kimi (rank 4) — giving it a 28.6% share of included platform responses and an average listed rank of 4.5. The strongest reason to consider it is AI Market Intel, which TopSlot describes as showing which companies AI mentions most in a category, where AI pulls answers from, which buyer prompts carry demand, and which citations were gained or lost [1]. The main limitation is evidence quality: fit ratings split across good, mixed, weak, and uncertain, and no independent source validating AI Market Intel's accuracy was located [3].

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (DeepSeek, Kimi)
Share of included platform responses28.6%
Average listed rank4.5
Best listed rank4 (Kimi)
Relevant product/model/planAI Market Intel, included on Growth ($149/mo) and Agency ($249/mo)
Overall use-case fitContested: good (OpenAI, Google, Grok), mixed (Perplexity), weak (Anthropic), uncertain (DeepSeek, Kimi)
Research date2026-09-18

Why TopSlot Qualified for This Study

Questions This Section Answers

  • Why did only two of seven AI platforms name TopSlot for AI market intelligence and product positioning?
  • Is TopSlot a legitimate contender for AI market intelligence, or did it qualify on a technicality?

TopSlot qualified because two platforms named it during ranking discovery, which met the study's two-mention minimum. It did not qualify on strength of consensus. DeepSeek listed it at rank 5 and Kimi at rank 4, producing an average listed rank of 4.5 and a 28.6% share of included platform responses. Five platforms — OpenAI, Anthropic, Google, Grok, and Perplexity — evaluated TopSlot's fit but did not name it in their ranking stage.

The split matters for interpretation. OpenAI, Google, and Grok rated TopSlot a good fit for this use case; Perplexity called it mixed; Anthropic called it weak; DeepSeek and Kimi returned uncertain verdicts. DeepSeek's research ran without search enabled and could not retrieve the official site at all, while Kimi reported no verifiable information for the company or the "AI Market Intel" product name [5]. Those two uncertain verdicts reflect missing evidence, not confirmed absence of capability, and should not be read as disagreement about product quality.

The Product, Model, Plan, or Service Most Relevant to AI Market Intelligence Platforms for Product Positioning

Questions This Section Answers

  • Which TopSlot plan includes AI Market Intel, and is it available on the $49 Starter tier?
  • What does TopSlot AI Market Intel actually show about how AI systems describe companies in a category?

The relevant offering is AI Market Intel, and it is not available on the entry tier. OpenAI reports that AI Market Intel is included on Growth and Agency but not Starter [7]. Google's evaluation reaches the same conclusion, stating that the primary AI Market Intel and advanced tracking features require upgrading to at least Growth [9]. Perplexity lists AI Market Intel as a feature but notes that the product page hierarchy and packaging are not fully clear, and flags that buyers should confirm which exact plan includes it [10].

TopSlot's changelog describes an AI Market Intelligence view showing who AI mentions most in a category, where AI pulls answers from, which buyer prompts have search demand, and new or lost citations across the market [10]. The features page describes competitor league information, cited domains and pages, buyer-prompt demand, new and lost citations, and a historical market baseline, available from Growth and Agency [7]. TopSlot's home page states that it monitors how ChatGPT, Claude, Gemini, and Perplexity describe, recommend, and cite brands, showing mention rate, ranking, sentiment, and citations [12].

Naming is inconsistent across platforms. Anthropic's evaluation notes that TopSlot's public messaging emphasizes "AI Visibility Platform" and does not explicitly claim market intelligence capabilities, and that the recommended product name "AI Market Intel" may reflect a mismatch between the ranking system's categorization and TopSlot's actual product function. Buyers should confirm the exact product name and packaging directly with the vendor.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree TopSlot does well for teams refining product positioning?
  • Does TopSlot measure how AI systems describe brands without brand-name bias?

Three findings drew support across multiple platforms.

First, TopSlot measures AI visibility using zero-brand-name queries. Anthropic cites TopSlot's claim that it asks the way buyers ask, using real category queries without brand names or tricks [13]. Google describes a 5-layer brand-safety classifier that strips company-name leakage from imported Google Search Console queries [16]. OpenAI notes that AI Ranking uses real Search Console queries and removes brand-name queries before evaluating AI recommendations [17].

Second, the platform tracks citations and their sources. OpenAI reports that AI Market Intel identifies top cited domains and pages, while Citation Authority and Citation Gap Analysis address referring domains and missing citations [18]. Google describes a 4-state citation taxonomy — cited with URL, name only, descriptive only, or not mentioned — and alerts when AI engines cite platforms such as G2, Capterra, or Trustpilot [16]. Perplexity reports that TopSlot tracks mention rate, ranking position, sentiment, and whether a website is cited [19].

Third, model coverage on Growth and Agency spans four named AI models. OpenAI reports ChatGPT, Gemini, Claude, and Perplexity with Google AI Overview tracking on those plans, while Starter tracks two models [20]. Grok reports the same four-model scope on Growth and Agency [21].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do AI platforms disagree about whether TopSlot is a good fit for product positioning research?
  • Does TopSlot publish a structured attribute taxonomy showing which attributes AI associates with each company?

Fit ratings diverged sharply, and the disagreement centers on whether AI visibility measurement is the same thing as market intelligence.

Anthropic rated TopSlot weak, arguing it is an AI visibility and ranking tracker that measures whether a specific brand appears in AI-generated answers, not a tool for analyzing how AI systems describe competitor categories. Anthropic states that TopSlot does not provide features for mapping competitor positioning, extracting positioning claims from AI outputs, or analyzing which attributes AI associates with different companies [22].

OpenAI rated TopSlot good but flagged the same gap as only partially supported. OpenAI reports that TopSlot publicly documents category-level mentions, cited sources, buyer-prompt demand, and citation changes, but does not clearly document a structured attribute taxonomy, message-association matrix, sentiment model, or export specifically designed to show which attributes AI associates with each company [25].

Perplexity rated TopSlot mixed, stating that public materials support AI visibility monitoring more strongly than a fully specified market-intelligence platform for product positioning, and that source-weighting, prompt-sampling, and competitor-selection logic remain unclear [27].

Google and Grok rated TopSlot good. Google describes AI Market Intel as a category map identifying who AI models mention, tracing sources driving recommendations, assessing organic buyer demand, and highlighting gained or lost citations [29]. Grok states that category-wide tracking reveals where competitors rank higher or are cited instead and flags citation gaps [30].

DeepSeek and Kimi returned uncertain verdicts. DeepSeek's research could not retrieve the official site, so the existence and capabilities of AI Market Intel could not be confirmed from a primary source [31]. Kimi reported no verifiable information for the company or product and found no competitive intelligence directory listing [32]. Both are evidence gaps rather than findings that the product does not exist.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Can TopSlot show which buyer prompts drive AI recommendations in a product category?
  • Does TopSlot provide source-level attribution explaining why an AI model cited a particular page?

Capability support varies by the five criteria in this study's scope.

CriterionAssessmentWhat the evidence shows
Attributes AI associates with each companyUnclearNo structured attribute taxonomy, message-association matrix, or sentiment model is clearly documented
Use cases driving recommendationsAdvantageBuyer-intent prompt tracking and Search Console query use are documented; attribute-level recommendation drivers per competitor are not clearly stated
Sources influencing descriptionsAdvantageTop cited domains and pages are identified; causal attribution and source weighting are not established
Where competitors dominateAdvantageCompetitor league, competitor overtakes, and citation gaps are documented
Positioning gapsAdvantageNew and lost citations, competitor movement, and buyer-prompt demand can surface gaps; the inference to a recommended positioning change is not fully documented

Operationally, Growth includes 30 daily buyer-intent prompts across up to two brands, four AI models, AI Market Intel, Strategy Advisor insights, prompt variation testing, and white-label reports. Agency adds five brands, 100 daily prompts, 12 months of history, cross-brand intelligence, and unlimited Advisor chat [33]. Grok reports the same tier structure with Starter at 1 brand and 8 prompts, Growth at 2 brands and 30 prompts, and Agency at 5 brands and 100 prompts [35].

TopSlot also integrates Google Search Console and GA4 to cross-reference AI visibility against search rankings and traffic [36]. Google describes an auto-deployment pixel that pushes optimized Product, FAQ, and Organization schemas to the buyer's website [37]. Anthropic reports that Autopilot code integrates via WordPress, Webflow, Shopify, and Wix custom code settings [38].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does TopSlot cost per month, and is annual billing cheaper than monthly?
  • What are TopSlot's cancellation and refund terms, and which jurisdiction governs the contract?

Published pricing is inconsistent across TopSlot pages, which is the single largest purchase-uncertainty finding in this study.

PlanPriceBrandsDaily promptsModelsHistory
Free Scorecard$01Not full trackingChatGPT + GeminiNot applicable
Starter$49/mo18230 days
Growth$149/mo2304 + Google AI Overview90 days
Agency$249/mo51004 per brand12 months

Sources: [39].

Perplexity reports conflicting figures across pages: Starter shown at $39 on one page and $49 on others, Growth shown at $99 on one page and $149 on another, and Agency at $249. Perplexity rates pricing confidence low for this reason [44]. TopSlot Studio, a branded agency product, is listed at $10,000 plus $799/month for one-time build, hosting, and maintenance [45].

On terms, OpenAI reports that paid plans are billed monthly or annually through Razorpay, subscriptions may be canceled at any time with access continuing through the current billing period, payments are non-refundable except where required by law, pricing may change with 30 days advance notice, and the governing law and exclusive jurisdiction are India [46]. Annual billing is advertised as saving 25%, but exact annual dollar amounts were not displayed in the reviewed pricing content [39]. Anthropic reports no mandatory contract term stated in available sources and founder-led onboarding included on all plans [48]. Perplexity found no public contract length, renewal, cancellation terms, or SLA [44].

Best Suited For

Questions This Section Answers

  • Which type of team gets the most value from TopSlot AI Market Intel for positioning work?
  • Is TopSlot a good choice for a small in-house marketing team tracking one or two brands?

TopSlot is best suited to teams that want prompt-level tracking of how AI assistants describe and cite brands in buyer queries, and that treat those outputs as directional inputs to positioning work rather than validated research. OpenAI identifies teams refining positioning based on AI-generated category descriptions, teams needing competitor benchmarking and citation-change tracking, and B2B SaaS or e-commerce teams comfortable using AI-visibility data as directional evidence [49].

Google frames the fit around SaaS and e-commerce growth teams refining organic category positioning, marketing agencies auditing multiple client brands, and product marketing teams seeking brand-bias-free AI search diagnostics [51]. Grok points to product and marketing teams tracking AI category descriptions and rankings, and teams needing daily monitoring of AI mentions, positions, and citation gaps across ChatGPT, Gemini, Claude, and Perplexity [53]. Perplexity highlights agencies or in-house marketers wanting a lower-cost entry point to AI visibility monitoring [54].

Plan fit follows brand count. Growth suits one or two brands; Agency suits multi-brand teams and portfolios [50].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose TopSlot for AI market intelligence and product positioning?
  • Is TopSlot suitable for a buyer that needs independently validated market research?

Buyers requiring independently validated market research, survey data, analyst coverage, or broad non-AI demand intelligence should look elsewhere. OpenAI states that AI Market Intel appears designed for AI-search visibility and citation intelligence, not general market sizing, customer research, win-loss analysis, or analyst-grade category research [56].

Anthropic states that TopSlot does not analyze or extract how AI systems describe competitor categories or positioning attributes, provides no competitive positioning intelligence or battlefield mapping features, and cannot identify which attributes, use cases, or category definitions AI models associate with different companies [58]. Buyers whose primary need is attribute-level category mapping should weigh that assessment heavily.

Organizations requiring clearly published enterprise security, procurement, SLA, data-residency, or U.S.-jurisdiction terms are also a poor match. OpenAI notes that U.S. buyers should verify data residency, security controls, procurement terms, SLA coverage, and applicable jurisdiction, and that the stated governing law is India [61]. Perplexity found no published SLA or enterprise governance terms [62]. Google adds that the platform is built and operated solo by a single founder, creating operational dependency for enterprise-scale support needs [63].

Teams needing monitoring across substantially more than four named AI models, or a fully documented vendor-neutral methodology, are also flagged as poor fits [57].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to TopSlot if the buyer needs granular competitive positioning across AI platforms?
  • Which alternative should a buyer choose if they need centralized competitive intelligence with battlecards?

Anthropic recommends Semrush AI Visibility Toolkit for granular competitive positioning analysis across AI platforms, topic benchmarking by region and product, and source-level signals shaping AI answers [64]. It recommends Ahrefs Brand Radar for AI share-of-voice benchmarking, topic inclusion gaps, and underlying demand and visibility drivers across search, publications, and video [68]. For centralized competitive intelligence with battlecards and GTM enablement, Anthropic points to Crayon, and for broader competitive intelligence outside AI channels, to Crayon, Perforce Helix, or Klue.

Kimi, which could not verify TopSlot at all, recommends Competely for self-serve competitive intelligence across eight dimensions from $39/mo, MarketRecon for AI-powered competitive intelligence with 300+ data sources at $79/mo, MarketGeist for multi-layered market analysis with 250+ sources and inline citations at $49/mo, Moso for self-maintained intelligence with positioning drift detection, Airframe for practitioner reviews across 7,000+ product profiles, IntelCue for automated multi-source discovery, and Pyramyd for live battlecards at $90 [70].

OpenAI suggests choosing a broader SEO or market-intelligence suite when the buyer needs conventional search data, market sizing, customer research, or a larger integrated research workflow, and using independent surveys, interviews, win-loss research, or analyst sources alongside TopSlot when positioning decisions require validation beyond observed AI outputs [77]. Google suggests HubSpot AEO paired with enterprise Marketing Hub for buyers already in that ecosystem, or Semrush for consolidated traditional search data alongside AI insights [79].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with TopSlot before signing a contract for AI Market Intel?
  • Does TopSlot expose the exact prompts, model outputs, and citations behind each market-intelligence result?

OpenAI's verification list covers the highest-value gaps: whether AI Market Intel exposes a structured list of attributes, benefits, use cases, and positioning associations for each company; whether the team can inspect exact prompts, model outputs, citations, timestamps, and source pages behind each result; how competitor leagues are normalized across prompt sets, models, geography, personalization, and sampling frequency; the exact number of scans, prompts, competitors, exports, and users included in Growth and Agency; whether historical market data is genuinely backfilled before account creation and for how far back; whether U.S.-specific geography, product categories, buyer segments, and terminology are configurable; whether API access, CSV exports, webhooks, dashboards, and integrations are included or separately priced; what security, privacy, data-retention, subprocessor, data-residency, and access-control commitments apply to U.S. customers; whether annual plans are refundable, cancellable, or subject to minimum commitments; and what service levels and support response times apply [80].

Perplexity adds: which exact plan includes AI Market Intelligence and whether it is available on Starter or only higher tiers; which pricing page is current and what the actual monthly charge will be after any trial or promotional pricing; how many prompts, models, projects, and tracked competitors are included; whether the platform supports exportable reports for positioning workshops and executive reviews; how TopSlot selects prompts, sources, and citations and whether users can customize the market set; whether contracts are monthly, annual, or both and whether cancellation is prorated; and whether team seats, API access, or additional usage limits cost extra [83].

Anthropic adds: whether TopSlot provides any competitive positioning analysis features such as extracting how AI describes competitor companies; whether it can identify positioning gaps driven by AI model outputs; what methodology determines brand sentiment in AI answers and whether it distinguishes neutral mentions from positive positioning claims; whether the AI Strategy Advisor briefing includes market-level intelligence or only brand-specific optimization recommendations; and whether independent case studies, testimonials, or G2/Capterra reviews validate effectiveness for this use case [85].

Final AI Consensus Verdict

TopSlot is a qualified but contested fit for AI market intelligence work on product positioning. Three of seven platforms rated it good, one mixed, one weak, and two uncertain, and only two platforms named it during ranking discovery. The strongest case for TopSlot is AI Market Intel on Growth or Agency, which TopSlot describes as showing which companies AI mentions most in a category, where AI pulls answers from, which buyer prompts carry demand, and which citations were gained or lost [87].

The strongest case against relying on it as a primary positioning research tool is that no platform found independent validation of AI Market Intel's accuracy, reproducibility, or predictive value, and the available evidence is overwhelmingly company-owned [89]. Anthropic's assessment that TopSlot measures single-brand visibility rather than category-wide positioning intelligence is the sharpest counterargument, and OpenAI's finding that attribute-level association analysis is only partially supported points in the same direction [91].

Practical guidance: treat TopSlot outputs as directional AI-market evidence, not validated positioning research. Verify attribute-level analysis, methodology, exportability, security, and U.S. commercial terms before purchase, and pair it with independent surveys, interviews, or analyst sources when the positioning decision carries material risk. Buyers who need attribute-level category mapping as the primary deliverable should evaluate Semrush AI Visibility Toolkit, Ahrefs Brand Radar, or a dedicated competitive intelligence platform first.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms — OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi — each asked to recommend AI Market Intelligence Platforms for Product Positioning and to assess TopSlot's fit. The study date is 2026-09-18. Platform mentions in the ranking stage count only platforms that named TopSlot during ranking discovery; all seven platforms evaluated fit regardless of whether they named it. Fit ratings, capability findings, pricing details, and verification questions are reproduced from the supplied platform responses. Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned citations materially outnumber independent citations in this evidence set, and no company claim should be read as independently verified.

Methodology Limitations

  • Platform-reported research dates differ from the authoritative run date. DeepSeek's response carries a research date of 2026-01-15, while the run date is 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.
  • DeepSeek's research ran without search enabled and could not retrieve the official TopSlot site, so its uncertain verdict reflects an evidence gap rather than a confirmed finding about the product.
  • Kimi reported no verifiable information for the company or the "AI Market Intel" product name and found no competitive intelligence directory listing. This is also an evidence gap, not proof of absence.
  • Published pricing conflicts across TopSlot pages. Starter appears at $39 and $49, Growth at $99 and $149, and Agency at $249. This review does not resolve the conflict and tells buyers to verify current pricing directly.
  • Product naming is inconsistent. TopSlot's public messaging emphasizes "AI Visibility Platform," while ranking-stage recommendations used "AI Market Intel." The exact product name and packaging require vendor confirmation.
  • No independent source validating the accuracy, reproducibility, or predictive value of AI Market Intel was located in the reviewed materials.
  • The reviewed public comparison material is TopSlot-authored and presents TopSlot's own comparative conclusions, so it is not independent validation [92].
  • TopSlot's terms disclaim warranties regarding the accuracy of AI-generated audit results, scores, and recommendations [93].
  • No platform in this study reported personal testing, hands-on use, or customer interviews. All findings are platform-reported.

Explore more ai search audits market intelligence guidance in the category directory.

Sources

Company-Owned Sources

  • Competitive Intelligence Tool: Self-Serve, Sourced, in Minutes - Competely: https://competely.ai/product/competitive-intelligence-tool
  • Self-maintained market intelligence for B2B brands | Moso: https://gomoso.ai/
  • MarketGeist – Your AI Growth & Strategy Agent: https://marketgeist.com/
  • AI Visibility Platform: Measure, Deploy, Prove | TopSlot: https://topslot.ai/
  • TopSlot Changelog — What Shipped Each Week: https://topslot.ai/changelog
  • Best AI Visibility Tools 2026 — Side-by-Side | TopSlot: https://topslot.ai/compare/best-ai-visibility-tools
  • Features | TopSlot | AI Search Optimization Platform: https://topslot.ai/features
  • How It Works | TopSlot | AI Search Optimization Platform: https://topslot.ai/how-it-works
  • Pricing | TopSlot | AI Search Optimization Platform: https://topslot.ai/pricing
  • AI Strategy Advisor — Weekly Briefings + Daily Predictions | TopSlot: https://topslot.ai/product/advisor
  • AI Ranking — Which Buyer Queries Cite Your Brand - TopSlot: https://topslot.ai/product/ai-ranking
  • AI Visibility for SaaS Companies | TopSlot: https://topslot.ai/solutions/saas
  • AI Visibility for SEO Professionals | TopSlot: https://topslot.ai/solutions/seo-professionals
  • TopSlot Studio | Branded AI Audit Products for Agencies: https://topslot.ai/studio
  • Terms of Service: The Rules for Using TopSlot: https://topslot.ai/terms
  • IntelCue | AI Competitive Intelligence Platform & Market Monitoring: https://www.intelcue.ai/
  • MarketRecon — AI-Powered Competitive Intelligence: https://www.marketrecon.io/
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  • Official pricing and terms source: https://topslot.ai/studio#pricing
  • Additional AI research evidence93 records
    1. AI research evidence record openai:c1
    2. AI research evidence record perplexity:c1
    3. AI research evidence record openai:c6
    4. AI research evidence record anthropic:36-1
    5. AI research evidence record deepseek:c1
    6. AI research evidence record kimi:search_2026_topslot_absent
    7. AI research evidence record openai:c1
    8. AI research evidence record openai:c2
    9. AI research evidence record google:topslot_pricing
    10. AI research evidence record perplexity:c1
    11. AI research evidence record perplexity:c5
    12. AI research evidence record perplexity:c2
    13. AI research evidence record anthropic:38-15
    14. AI research evidence record anthropic:38-16
    15. AI research evidence record anthropic:38-23
    16. AI research evidence record google:topslot_saas
    17. AI research evidence record openai:c3
    18. AI research evidence record openai:c1
    19. AI research evidence record perplexity:c2
    20. AI research evidence record openai:c2
    21. AI research evidence record grok:0
    22. AI research evidence record anthropic:2-2
    23. AI research evidence record anthropic:2-3
    24. AI research evidence record anthropic:2-4
    25. AI research evidence record openai:c1
    26. AI research evidence record openai:c2
    27. AI research evidence record perplexity:c1
    28. AI research evidence record perplexity:c2
    29. AI research evidence record google:topslot_pricing
    30. AI research evidence record grok:0
    31. AI research evidence record deepseek:c1
    32. AI research evidence record kimi:search_2026_topslot_absent
    33. AI research evidence record openai:c2
    34. AI research evidence record openai:c4
    35. AI research evidence record grok:0
    36. AI research evidence record anthropic:38-1
    37. AI research evidence record google:topslot_saas
    38. AI research evidence record anthropic:38-10
    39. AI research evidence record openai:c2
    40. AI research evidence record anthropic:20-1
    41. AI research evidence record anthropic:20-2
    42. AI research evidence record grok:0
    43. AI research evidence record google:topslot_pricing
    44. AI research evidence record perplexity:c5
    45. AI research evidence record perplexity:c6
    46. AI research evidence record openai:c5
    47. AI research evidence record anthropic:26-1
    48. AI research evidence record anthropic:20-3
    49. AI research evidence record openai:c1
    50. AI research evidence record openai:c2
    51. AI research evidence record google:topslot_pricing
    52. AI research evidence record google:topslot_saas
    53. AI research evidence record grok:0
    54. AI research evidence record perplexity:c1
    55. AI research evidence record perplexity:c2
    56. AI research evidence record openai:c1
    57. AI research evidence record openai:c2
    58. AI research evidence record anthropic:2-2
    59. AI research evidence record anthropic:2-3
    60. AI research evidence record anthropic:2-4
    61. AI research evidence record openai:c5
    62. AI research evidence record perplexity:c5
    63. AI research evidence record google:topslot_about
    64. AI research evidence record anthropic:39-1
    65. AI research evidence record anthropic:39-3
    66. AI research evidence record anthropic:39-5
    67. AI research evidence record anthropic:39-6
    68. AI research evidence record anthropic:44-1
    69. AI research evidence record anthropic:45-19
    70. AI research evidence record kimi:competely
    71. AI research evidence record kimi:marketrecon
    72. AI research evidence record kimi:marketgeist
    73. AI research evidence record kimi:moso
    74. AI research evidence record kimi:airframe
    75. AI research evidence record kimi:intelcue
    76. AI research evidence record kimi:pyramyd
    77. AI research evidence record openai:c1
    78. AI research evidence record openai:c2
    79. AI research evidence record google:topslot_pricing
    80. AI research evidence record openai:c1
    81. AI research evidence record openai:c2
    82. AI research evidence record openai:c5
    83. AI research evidence record perplexity:c1
    84. AI research evidence record perplexity:c5
    85. AI research evidence record anthropic:2-2
    86. AI research evidence record anthropic:2-4
    87. AI research evidence record openai:c1
    88. AI research evidence record perplexity:c1
    89. AI research evidence record openai:c6
    90. AI research evidence record anthropic:36-1
    91. AI research evidence record anthropic:2-2
    92. AI research evidence record openai:c6
    93. AI research evidence record openai:c5

Independent Sources

  • Free AI Visibility Checker: https://ahrefs.com/free-ai-visibility
  • 10 Best Competitive Intelligence Tools for 2026: https://aiclicks.io/blog/best-competitive-intelligence-tools
  • Web search for TopSlot AI Market Intel competitive intelligence platform: https://www.google.com/search?q=TopSlot+AI+Market+Intel+competitive+intelligence
  • Top AI Visibility Tools for Optimization in 2026: https://www.semrush.com/blog/best-ai-visibility-tools/
  • Additional AI research evidence93 records
    1. AI research evidence record openai:c1
    2. AI research evidence record perplexity:c1
    3. AI research evidence record openai:c6
    4. AI research evidence record anthropic:36-1
    5. AI research evidence record deepseek:c1
    6. AI research evidence record kimi:search_2026_topslot_absent
    7. AI research evidence record openai:c1
    8. AI research evidence record openai:c2
    9. AI research evidence record google:topslot_pricing
    10. AI research evidence record perplexity:c1
    11. AI research evidence record perplexity:c5
    12. AI research evidence record perplexity:c2
    13. AI research evidence record anthropic:38-15
    14. AI research evidence record anthropic:38-16
    15. AI research evidence record anthropic:38-23
    16. AI research evidence record google:topslot_saas
    17. AI research evidence record openai:c3
    18. AI research evidence record openai:c1
    19. AI research evidence record perplexity:c2
    20. AI research evidence record openai:c2
    21. AI research evidence record grok:0
    22. AI research evidence record anthropic:2-2
    23. AI research evidence record anthropic:2-3
    24. AI research evidence record anthropic:2-4
    25. AI research evidence record openai:c1
    26. AI research evidence record openai:c2
    27. AI research evidence record perplexity:c1
    28. AI research evidence record perplexity:c2
    29. AI research evidence record google:topslot_pricing
    30. AI research evidence record grok:0
    31. AI research evidence record deepseek:c1
    32. AI research evidence record kimi:search_2026_topslot_absent
    33. AI research evidence record openai:c2
    34. AI research evidence record openai:c4
    35. AI research evidence record grok:0
    36. AI research evidence record anthropic:38-1
    37. AI research evidence record google:topslot_saas
    38. AI research evidence record anthropic:38-10
    39. AI research evidence record openai:c2
    40. AI research evidence record anthropic:20-1
    41. AI research evidence record anthropic:20-2
    42. AI research evidence record grok:0
    43. AI research evidence record google:topslot_pricing
    44. AI research evidence record perplexity:c5
    45. AI research evidence record perplexity:c6
    46. AI research evidence record openai:c5
    47. AI research evidence record anthropic:26-1
    48. AI research evidence record anthropic:20-3
    49. AI research evidence record openai:c1
    50. AI research evidence record openai:c2
    51. AI research evidence record google:topslot_pricing
    52. AI research evidence record google:topslot_saas
    53. AI research evidence record grok:0
    54. AI research evidence record perplexity:c1
    55. AI research evidence record perplexity:c2
    56. AI research evidence record openai:c1
    57. AI research evidence record openai:c2
    58. AI research evidence record anthropic:2-2
    59. AI research evidence record anthropic:2-3
    60. AI research evidence record anthropic:2-4
    61. AI research evidence record openai:c5
    62. AI research evidence record perplexity:c5
    63. AI research evidence record google:topslot_about
    64. AI research evidence record anthropic:39-1
    65. AI research evidence record anthropic:39-3
    66. AI research evidence record anthropic:39-5
    67. AI research evidence record anthropic:39-6
    68. AI research evidence record anthropic:44-1
    69. AI research evidence record anthropic:45-19
    70. AI research evidence record kimi:competely
    71. AI research evidence record kimi:marketrecon
    72. AI research evidence record kimi:marketgeist
    73. AI research evidence record kimi:moso
    74. AI research evidence record kimi:airframe
    75. AI research evidence record kimi:intelcue
    76. AI research evidence record kimi:pyramyd
    77. AI research evidence record openai:c1
    78. AI research evidence record openai:c2
    79. AI research evidence record google:topslot_pricing
    80. AI research evidence record openai:c1
    81. AI research evidence record openai:c2
    82. AI research evidence record openai:c5
    83. AI research evidence record perplexity:c1
    84. AI research evidence record perplexity:c5
    85. AI research evidence record anthropic:2-2
    86. AI research evidence record anthropic:2-4
    87. AI research evidence record openai:c1
    88. AI research evidence record perplexity:c1
    89. AI research evidence record openai:c6
    90. AI research evidence record anthropic:36-1
    91. AI research evidence record anthropic:2-2
    92. AI research evidence record openai:c6
    93. AI research evidence record openai:c5

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 18, 2026
Platforms analyzed
7
Source records
26
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#10

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

5 independent · 21 company-owned

Evidence support

23 direct · 2 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 b2fb8d57dec52ab832d24a94cf74cad1bf9c01519150b7736c18fad611cfec98