Answer Capsule
MyTelescope is a qualified but not unanimous fit for AI market intelligence on new market entry. Two of six platforms named it during the ranking stage (anthropic, perplexity), at an average listed rank of 1.5 and a best rank of 1. The strongest reason to consider it is its combination of multi-source search demand signals, share-of-search competitor tracking, and an MCP integration that pipes demand data into Claude workflows. The main limitation is evidence quality: company-owned citations dominate, the 83% market-share correlation claim is not independently substantiated in the reviewed materials, and current 2026 pricing, plan scope, and contract terms are inconsistent across sources.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 6 included platforms (anthropic, perplexity) |
| Share of included platform responses | 33.3% |
| Average listed rank | 1.5 |
| Best listed rank | 1 |
| Relevant product/model/plan | MyTelescope Platform or MCP integration; Starter or Growth plan; Enterprise for custom deployments |
| Overall use-case fit | Good for demand-led category screening; uncertain for full market-entry diligence |
| Research date | 2026-09-18 |
Why MyTelescope Qualified for This Study
Questions This Section Answers
- Is MyTelescope a good choice for AI Market Intelligence Platforms for New Market Entry?
- How many AI platforms recommended MyTelescope for new market entry research?
MyTelescope qualified because it operates in the exact data domain this use case requires: search demand signals, share of search, trend detection, and AI-answer visibility. Two of the six included platforms named it during ranking discovery — anthropic at rank 2 and perplexity at rank 1 — giving it an average listed rank of 1.5 and a best rank of 1. The remaining four platforms (openai, deepseek, grok, kimi) evaluated its fit but did not name it in the ranking stage, so the mention count should not be read as broad consensus.
The company describes itself as a demand intelligence platform that aggregates signals from Google, TikTok, YouTube, Amazon, Pinterest, Bing, Instagram, X, eBay, Perplexity, App Store, Google Play, and Etsy [1]. It positions trend forecasting, product-level demand, category demand, competitor share tracking, and AI-search visibility as supported use cases [3]. Those capabilities map directly onto the buyer prompt's requirements: most-recommended brands, dominant competitors, influential cited sources, buyer prompts, category terminology, citation architecture, and visibility gaps.
Independent directory and journalism coverage exists but is thin. CB Insights describes the tool as built to forecast sales, revenue, and market share, differentiating it from AI solutions focused on content creation [7]. MRWeb covered its trendspotting and forecasting launch [8], and a Cision press release covered the 83% forecasting claim [9]. Serchen and Crunchbase list company details [10]. None of these independently validate performance.
The Product, Model, Plan, or Service Most Relevant to AI Market Intelligence Platforms for New Market Entry
Questions This Section Answers
- Which MyTelescope plan should a buyer choose for new market entry research, Starter or Growth?
- Does MyTelescope's MCP integration work with Claude for category demand analysis?
The relevant offering is the MyTelescope Platform, delivered either as a direct dashboard or through an MCP integration that connects demand data into Claude and other LLMs [12]. For new market entry work, the platform's category setup, Real-interest index, month-over-month change tracking, and forecasting functions are the core modules [15].
Plan guidance from the platforms converges on Starter or Growth, with Enterprise reserved for custom deployments. Starter is listed at $199/month for 2,500 credits and Growth at $499/month for 7,000 credits [17]. Openai's assessment recommends Starter for structured exploration and Growth for repeated competitor, trend, agent, and analytics work [17]. Anthropic's assessment recommends the platform via MCP integration or direct dashboard under a credit-based model [19].
The MCP integration is the differentiator most consistently cited. It plugs real demand data from Google, TikTok, Amazon, and other sources directly into a Claude workflow [20]. A skill file instructs Claude how and when to use MyTelescope [22]. Openai notes the workflow is attractive for Claude-centered teams but that public evidence does not establish equivalent feature parity across other LLMs or a conventional standalone API [12].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree MyTelescope does well for new market entry research?
- Is MyTelescope's search demand data useful for screening a new product category?
The strongest agreement is that MyTelescope is relevant to demand-led category screening. Openai, anthropic, perplexity, and grok all rated it a good or strong fit for evaluating whether a new category shows measurable demand (openai, anthropic, perplexity, grok). All four describe the same core mechanism: aggregated search demand signals used to triangulate category interest, competitor momentum, and trend direction.
Platforms also agree on the source list. Multiple responses independently cite the same 13 platforms — Google, TikTok, YouTube, Amazon, Pinterest, Bing, Instagram, X, eBay, Perplexity, App Store, Google Play, and Etsy [23]. This is company-published information repeated across responses, not independent verification.
There is broad agreement that the MCP/Claude integration is a practical advantage for AI-native teams [26]. Openai frames it as reduced workflow friction; perplexity frames it as fitting analyst workflows; grok frames it as enabling natural-language queries on new categories.
Platforms also agree on the monthly data refresh as a shared limitation. Openai, anthropic, and grok all note that monthly updates may be insufficient for fast-moving markets [30]. One independent review states daily updates, which conflicts with the vendor's own monthly statement [32].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do some AI platforms rate MyTelescope as uncertain for new market entry?
- Is MyTelescope's 83% market share correlation claim independently verified?
Fit ratings diverged materially. Grok rated MyTelescope a strong fit. Openai, anthropic, and perplexity rated it good. Deepseek and kimi rated it uncertain. That spread reflects differences in how much weight each platform placed on company-owned versus independent evidence.
The 83% correlation claim is the central unresolved issue. MyTelescope states an 83% correlation with market share across 40+ validated categories [33]. Independent outlets repeated the claim at launch [36], but no reviewed source provides the validation study, methodology, sample composition, or independent replication. Openai explicitly flags this as unsubstantiated in reviewed public materials [38]. Perplexity labels it a platform claim requiring independent verification [35].
Pricing conflicts are unresolved. Research.com lists Pro at $99/month and Team at $299/month [39]. The current vendor pricing page lists Basic at $25/month, Starter at $199/month, and Growth at $499/month [38]. Grok notes the discrepancy between mytelescope.io and mytelescope.ai pages and states it is unclear which is current (grok). Deepseek and kimi both report that no verifiable published US pricing was confirmed (deepseek, kimi).
Two domains appear in results — mytelescope.ai and mytelescope.io — and perplexity states the relationship between them is unclear from the sources checked (perplexity). Deepseek notes that information is dominated by the vendor's own site and that independent corroboration is missing (deepseek). Kimi could not verify whether a dedicated new-market-entry workflow exists or whether the use case is served through general competitive intelligence features (kimi).
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Can MyTelescope identify dominant competitors and cited sources for a new product category?
- Does MyTelescope support US geographic granularity for market entry analysis?
For identifying most-recommended brands and dominant competitors, MyTelescope offers share-of-search tracking, competitor comparison, and brand momentum monitoring [41]. Grok reports that users set up categories with keywords and receive a Real-interest index, month-over-month changes, and curve tags [44].
For influential cited sources and citation architecture, the AI-visibility workflow is designed to show which sources AI models cite, how often a brand appears versus competitors, and which prompts produce wins or losses [45]. This directly matches the buyer prompt's citation-architecture requirement, though openai notes the full prompt library, model sampling methodology, citation-attribution rules, and reproducibility are not publicly detailed [45].
For buyer prompts and category terminology, vendor materials reference monitoring prompts and queries used with AI assistants (deepseek). Kimi could not confirm that important buyer prompts and category terminology are delivered as structured outputs (kimi).
For geographic coverage, grok reports support for geo-specific settings including US regions down to city level, with validated correlations in US-relevant categories such as CPG, automotive, and restaurants [46]. Anthropic reports multi-country tracking with explicit geo and language settings [47]. Openai cautions that source availability varies by market and instructs buyers to verify US applicability at the category, state, language, and source level [48].
For data history, one independent review reports Google at 48 months, Bing at 24 months, and other sources at approximately 12 months [49]. This matters for new categories with limited historical volume.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does MyTelescope cost per month, and are there setup or cancellation fees?
- What happens to MyTelescope credits if a buyer cancels or does not use them?
Current published monthly pricing is Free (500 one-time credits), Basic at $25/month for 250 credits, Starter at $199/month for 2,500 credits, Growth at $499/month for 7,000 credits, and Enterprise at custom pricing [50]. One-time credit packs run $50 for 250 credits, $100 for 500, $200 for 1,200, and $400 for 3,000 [50]. Yearly billing adds 15% extra credits when paying upfront [52].
Conflicts and gaps are significant. Research.com lists Pro at $99/month and Team at $299/month, which does not match the current vendor page [53]. Deepseek and kimi both report that no verifiable published US pricing was confirmed for Starter, Growth, or Enterprise (deepseek, kimi). Openai rates pricing confidence as moderate; anthropic rates it low; deepseek and kimi rate it low (openai, anthropic, deepseek, kimi).
Additional costs are unclear. Openai notes that additional credit purchases may be required when monthly credits are exhausted, that Claude or another connected LLM may involve separate subscription or usage charges not stated as included, and that Enterprise custom integrations may create negotiated costs [50]. Anthropic states credits roll over month to month and never expire, and that credit packs are one-time purchases (anthropic, official:C2). Openai states annual prepayment terms and cancellation rights should be verified before purchase [50]. Perplexity reports no clear public cancellation, auto-renewal, overage, or minimum-term terms were found (perplexity).
Credit consumption is a forecasting risk. Openai notes that credit consumption and the number of credits used by different query types may make ongoing costs difficult to forecast [50]. Anthropic recommends testing to understand consumption rate (anthropic).
Best Suited For
Questions This Section Answers
- Who gets the most value from MyTelescope for new market entry research?
- Is MyTelescope best for consumer categories or B2B market entry?
MyTelescope is best suited for companies testing whether a new consumer-facing category has measurable search demand. Openai, anthropic, perplexity, and grok all identify demand-led category screening as the primary fit (openai, anthropic, perplexity, grok). Product-marketing and growth teams comparing competitor interest, category terminology, and emerging demand signals are the clearest users [54].
Teams already operating in Claude are a strong secondary fit. The MCP integration reduces workflow friction for AI-native analysts [56]. Buyers who want a low-friction entry tier before committing budget also fit: the free 500 credits require no credit card [59].
Companies performing early due diligence on new product category viability, and brands evaluating share of search and competitive positioning before entry, are also named as suitable (anthropic, perplexity). Grok specifically frames the fit for US companies using Claude or similar AI for demand forecasting and category analysis (grok).
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose MyTelescope for new market entry research?
- Is MyTelescope suitable for B2B or regulated market entry decisions?
Enterprise market-entry decisions requiring audited market size, primary interviews, regulatory analysis, channel economics, or detailed country-by-country forecasts are not a good fit (openai). Anthropic states the platform is less ideal for B2B, regulated, or non-search-driven market entries, including enterprise software, government contracts, and regulated industries (anthropic). Kimi notes buyers needing structured entry mode scoring, regulatory analysis, and phased rollout planning should look elsewhere (kimi).
Buyers requiring independently validated AI-answer citation monitoring across all major generative-search systems should not rely on it alone (openai). Deepseek states buyers who need documented, independently verified US pricing and contractual terms before purchase should treat MyTelescope as a paid-pilot candidate only (deepseek).
Teams needing guaranteed real-time data, a documented API/SLA at standard-plan pricing, or broad non-search datasets are also poorly matched (openai). Grok notes buyers requiring daily real-time updates or non-search panel or survey-based intelligence should look elsewhere (grok). Anthropic adds that organizations requiring detailed customer interview synthesis or qualitative entry research are not well served (anthropic).
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to MyTelescope for audited market sizing or primary research?
- When should a buyer choose a purpose-built market entry platform over MyTelescope?
Use a broader market-research or competitive-intelligence platform when the decision requires audited market sizing, financial data, primary research, distribution analysis, or regulatory and channel assessment (openai). Use a specialized SEO, search-volume, or social-listening platform when the priority is higher-frequency monitoring, larger keyword datasets, or transparent source-level metrics (openai).
Use a dedicated generative-engine-optimization visibility platform when reproducible cross-model prompt testing, citation tracking, and historical AI-answer benchmarking matter more than broad demand signals (openai). Kimi names specific alternatives: Fluxel for structured entry mode analysis with a six-dimension decision matrix and go/no-go recommendations [60], NEUTRUM for 360-degree GTM strategy with demand measurement to village level and channel/gatekeeper identification [61], Nutri.Markets for a $399 one-time International Expansion Scorecard [62], MarketGeist Starter at $49/month for market reports and trend alerts [63], and Deepbeez for customs and tariff-based trade intelligence across 180+ countries [64].
Perplexity suggests a third-party category intelligence vendor when more independently validated market sizing is preferred, or an API-first data product with transparent usage limits and enterprise terms (perplexity). Anthropic suggests traditional BI platforms like Tableau or Power BI may suffice when AI/LLM integration requirements are limited (anthropic).
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with MyTelescope before signing a contract?
- Which MyTelescope data sources and AI models are included in the plan a buyer is considering?
Buyers should confirm which of the 13 sources provide usable US data for the specific product category and at what geographic granularity [65]. They should ask how search demand, social interest, commerce activity, and app-store signals are normalized and deduplicated [65]. They should confirm exactly which AI models, answer surfaces, prompts, locations, languages, and sampling frequency are included in AI-visibility and citation analysis [66].
On cost, buyers should ask how many credits each query type, agent run, dashboard action, and AI-visibility audit consumes, whether unused monthly credits roll over, and whether credit-pack credits expire or remain usable after cancellation [67]. They should confirm annual commitment, renewal, cancellation, refund, implementation, and enterprise-support terms [67].
On evidence, buyers should ask whether the vendor can provide the methodology and underlying evidence for the claimed 83% correlation with market share [67]. They should confirm whether a current SOC 2 report, DPA, data-retention controls, subprocessor list, and model-training restrictions exist, since the reviewed pages state alignment with SOC 2 standards but do not establish a current attestation [67]. They should also confirm whether a documented API exists in addition to MCP, with rate limits, authentication, uptime, and SLA terms [70].
Final AI Consensus Verdict
MyTelescope is a good, qualified fit for demand-led new-category screening, competitor discovery, trend detection, and AI-search visibility analysis — particularly for Claude-centered US marketing or product teams. It is not a complete market-entry intelligence suite. Treat it as an input to market-entry diligence rather than a replacement for market sizing, primary research, financial analysis, or regulatory and channel assessment (openai).
The consensus is not unanimous. Two of six platforms named it in ranking, with fit ratings ranging from strong (grok) to good (openai, anthropic, perplexity) to uncertain (deepseek, kimi). The strongest reason to consider it is the combination of multi-source demand signals, share-of-search tracking, and MCP delivery into Claude. The main limitation is evidence quality: company-owned citations materially outnumber independent ones, the 83% correlation claim is unsubstantiated in reviewed materials, and current 2026 pricing and contract terms conflict across sources.
A practical path is to start with the free credits or the Basic or Starter plan, then move to Growth only after confirming source coverage, credit economics, AI-visibility methodology, and export or API requirements [71]. Buyers can compare this assessment against the full AI Market Intelligence Platforms for New Market Entry index before committing budget.
How This Review Was Produced
This review was produced from six platform fit-research responses collected for the AI Market Intelligence Platforms for New Market Entry use case, plus an entity ranking statistics block and a citation source catalog. The authoritative run research date is 2026-09-18. Platform mentions in the ranking stage count only platforms that named MyTelescope during ranking discovery; all six included platforms evaluated fit. Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations, and company claims are not described here as independently verified. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Readers can browse the wider ai search audits market intelligence category for related fit reviews.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date: deepseek's response is dated 2026-01-15, while the other five platforms are dated 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness. Deepseek's response was produced with search disabled, so its claims require explicit verification before being described as current facts.
Pricing, plan names, and feature scope conflict across sources and were not resolved by guessing. The relationship between mytelescope.ai and mytelescope.io is unclear from the reviewed sources. The 83% market-share correlation claim, the customer list, and the SOC 2 alignment statement are company-published and were not independently corroborated in the reviewed materials. No reviewed source provides the validation study, methodology, or sample behind the correlation claim. Credit consumption, overage behavior, cancellation terms, and enterprise SLA terms are not clearly published. Geographic coverage for US categories must be verified at the source, state, and language level. AI-platform agreement on a product's fit does not prove product quality.
Sources
Company-Owned Sources
- Deepbeez: AI-Powered Market Intelligence Platform: https://deepbeez.com/
- Market Entry Strategy Tool — AI Expansion Planning | Fluxel: https://fluxel.dev/market-entry-strategy
- MarketGeist – Your AI Growth & Strategy Agent: https://marketgeist.com/
- AI research assistant inside Claude | MyTelescope: https://mytelescope.ai/
- Market Intelligence Inside Claude: https://mytelescope.ai/about
- Improve your brand's AI search visibility: https://mytelescope.ai/ai-visibility
- Market intelligence inside your AI | MyTelescope: https://mytelescope.ai/blog/ipa-share-of-search-represents-83-of-a-brands-share-of-market
- Brand tracking and share of search: https://mytelescope.ai/brand
- FAQ — MyTelescope: https://mytelescope.ai/faq
- 13 data sources inside your AI: https://mytelescope.ai/knowledge
- Pricing, plans and free credits | MyTelescope: https://mytelescope.ai/pricing
- Track share of search across competitors: https://mytelescope.ai/share-of-search
- AI research assistant inside Claude: https://mytelescope.ai/terms
- MyTelescope — Market Intelligence Inside Claude: https://mytelescope.ai/theteam
- Spot emerging trends before they peak: https://mytelescope.ai/trends
- AI research assistant inside Claude | MyTelescope: https://mytelescope.ai/why/category/Category+index
- Nutri.Markets — Global Market Intelligence for Health, Beauty & Functional Brands: https://nutri.markets/
- Market insights with MyTelescope — Make decisions based on facts not opinions: https://www.mytelescope.io/aboutmytelescope
- Market Playbook — MyTelescope — Make decisions based on facts not opinions: https://www.mytelescope.io/howtosetupmarket-intelligence
- Demand Data — Market Playbook: https://www.mytelescope.io/howtosetupmarket-intelligence/category/Demand+Data
- Why MyTelescope: https://www.mytelescope.io/why
- MyTelescope Data Methodology — Make decisions based on facts not opinions: https://www.mytelescope.io/why/mytelescope-data-methodology
- GTM Strategy - NEUTRUM: https://www.neutrum.ai/en/usecase/gtm-strategy/
Additional AI research evidence71 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-22
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c6
- AI research evidence record anthropic:9-7
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:7-3
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c7
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:20-5
- AI research evidence record grok:4
- AI research evidence record anthropic:31-1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:11-3
- AI research evidence record anthropic:4-26
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:6-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-22
- AI research evidence record anthropic:42-6
- AI research evidence record openai:c7
- AI research evidence record anthropic:20-5
- AI research evidence record perplexity:c9
- AI research evidence record grok:2
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-12
- AI research evidence record anthropic:43-11
- AI research evidence record anthropic:11-25
- AI research evidence record anthropic:38-2
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:9-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:10-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record anthropic:3-14
- AI research evidence record grok:4
- AI research evidence record openai:c6
- AI research evidence record grok:7
- AI research evidence record anthropic:31-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:43-11
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:3-16
- AI research evidence record openai:c7
- AI research evidence record anthropic:20-5
- AI research evidence record perplexity:c9
- AI research evidence record perplexity:c3
- AI research evidence record kimi:fluxel_entry_2026
- AI research evidence record kimi:neutrum_gtm_2026
- AI research evidence record kimi:nutrimarkets_2026
- AI research evidence record kimi:marketgeist_2026
- AI research evidence record kimi:deepbeez_2026
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record openai:c2
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:22-2
- AI research evidence record openai:c7
- AI research evidence record openai:c2
Independent Sources
- MyTelescope Case Study | Google Cloud: https://cloud.google.com/customers/mytelescope
- MyTelescope releases new AI platform with 83% success rate of forecasting the future: https://news.cision.com/san-francisco-oy/r/mytelescope-releases-new-ai-platform-with-83--success-rate-of-forecasting-the-future,c3854999
- MyTelescope Review 2026: Pricing, Features, Pros & Cons, Ratings & More | Research.com: https://research.com/software/reviews/mytelescope-review
- My Telescope Product Details | Reviews, Pricing and Alternatives | 2026: https://serchen.com/company/my-telescope
- CB Insights - MyTelescope: https://www.cbinsights.com/company/my-telescope
- My Telescope - Crunchbase Company Profile & Funding: https://www.crunchbase.com/organization/graviz-telescope
- MyTelescope Debuts Trendspotting and Forecasting Tool: https://www.mrweb.com/drno/news35787.htm
- My Telescope Product Details | Reviews, Pricing and Alternatives | 2026: https://www.serchen.com/company/my-telescope
Additional AI research evidence71 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-22
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c6
- AI research evidence record anthropic:9-7
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:7-3
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c7
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:20-5
- AI research evidence record grok:4
- AI research evidence record anthropic:31-1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:11-3
- AI research evidence record anthropic:4-26
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:6-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-22
- AI research evidence record anthropic:42-6
- AI research evidence record openai:c7
- AI research evidence record anthropic:20-5
- AI research evidence record perplexity:c9
- AI research evidence record grok:2
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-12
- AI research evidence record anthropic:43-11
- AI research evidence record anthropic:11-25
- AI research evidence record anthropic:38-2
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:9-2
- AI research evidence record openai:c2
- AI research evidence record anthropic:10-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record anthropic:3-14
- AI research evidence record grok:4
- AI research evidence record openai:c6
- AI research evidence record grok:7
- AI research evidence record anthropic:31-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:43-11
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:3-16
- AI research evidence record openai:c7
- AI research evidence record anthropic:20-5
- AI research evidence record perplexity:c9
- AI research evidence record perplexity:c3
- AI research evidence record kimi:fluxel_entry_2026
- AI research evidence record kimi:neutrum_gtm_2026
- AI research evidence record kimi:nutrimarkets_2026
- AI research evidence record kimi:marketgeist_2026
- AI research evidence record kimi:deepbeez_2026
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record openai:c2
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:22-2
- AI research evidence record openai:c7
- AI research evidence record openai:c2
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
- 6
- Source records
- 31
- Ranking mentions
- 2 of 6
- Platform share
- 33%
- Final consensus rank
- #3
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
8 independent · 23 company-owned
Evidence support
30 direct · 1 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 3c071fa362329c40741c16d132270ae213664cdaeff1b0e7c922af0e9cb56181