Best AI Market Intelligence Platforms for New Market Entry

Answer Capsule

Across six AI platforms studied on 2026-09-18, Factori ranks first in this consensus index on the strength of three platform mentions (50.0% share), even though its average listed position (6.33) is the weakest of any qualifying entity. Dageno and MyTelescope tie for the strongest average listed position (1.5) and are the better fits when the buyer's core need is AI-search demand signals, brand-recommendation tracking, and cited-source analysis. TopSlot, Klinko, OtterlyAI, SageScan, and LuminixAI each serve narrower versions of the need. Eight entities qualified by being named by at least two of the six platforms. The principal limitation: this index measures how AI systems describe the market, not verified product quality — company-owned citations materially outnumber independent ones, and platform-reported research dates differ from the authoritative study date.

Research Snapshot

• Topic: AI search audits and market intelligence for new market entry
• Target buyer: Companies evaluating entry into a new product or service category using AI search demand signals
• Geography: United States
• Platforms included (6): OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi
• Research date: 2026-09-18 (authoritative run date)
• Unique entities named across platforms: 32
• Qualifying entities: 8
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking unit: Research platform, intelligence provider, or advisory solution

Platform-reported research dates were 2026-09-18 for OpenAI, Anthropic, Grok, Perplexity, and Kimi, and 2026-02-14 for DeepSeek. Those dates are provenance metadata and do not independently prove freshness. The configured platform count of 7 is provenance only; exactly six platforms were included in this run.

The Consensus Ranking

Questions This Section Answers

• What are the best AI market intelligence platforms for new market entry in 2026?
• Which AI search audit provider is ranked first for new-category entry research, and how many platforms named it?
• Which platforms for new market entry were named by the most AI systems?

Platform mentions count only ranking-discovery mentions. All six platforms later evaluated fit, but that is a separate measure and does not change the mention counts above.

Which Option Is Best for Which Version of the Buyer Need?

Questions This Section Answers

• Which AI market intelligence platform should a buyer choose for new market entry if the decision depends on physical location and local demand?
• Is Dageno or MyTelescope better for new-category entry when AI search demand signals matter most?
• Which platform for new market entry has the lowest published entry cost, and what does that price include?

1. Factori

Questions This Section Answers

• Is Factori worth it for AI market intelligence in new market entry, and what are its main drawbacks?
• Which platform should a buyer choose for new market entry if the category depends on physical location and local demand rather than AI search visibility?

Factori ranks first in this index because it was named by three of six platforms — the highest mention count of any qualifying entity — despite carrying the weakest average listed position (6.33) and a best position of 4. That combination is the central tension in its evidence: platforms surfaced it often, but placed it lower than most alternatives. The Factori fit review covers the full assessment.

Why it ranked here. Factori's mention advantage comes from being recognized across Anthropic, DeepSeek, and Kimi as a market-data and demand-intelligence provider, with ranks of 9, 6, and 4 respectively. Its average position is dragged down by the Anthropic placement. No platform described it as a dedicated AI-search-demand or generative-search-visibility platform.

Best suited for. Retail, QSR, hospitality, real estate, CPG, logistics, and other categories where physical location and local demand materially affect entry decisions. Teams needing market sizing, trade-area analysis, competitive landscape mapping, audience profiling, or location-aware demand evidence. Data and analytics teams able to integrate feeds or use APIs and MCP tools.

Main strengths for the use case. Factori documents aggregated and anonymized visit data connected to more than 200 million physical locations globally, with geographic identifiers and place-level insights ^[1]. It processes 90B+ daily signals across 229 countries into 12+ integrated data layers ^[2]. Its MCP documentation lists skills for area intelligence, market quality, competitive benchmarking, and market analysis, including categories, leading brands, ratings, price tiers, traffic momentum, saturation, and competitive density ^[3]. Delivery spans APIs, raw data export to Snowflake, Databricks, BigQuery, and S3, the platform UI, and MCP ^[4]. Data is aggregated, anonymized, and consent-sourced, with ISO 27001 certification and GDPR and CCPA compliance claims ^[4].

Main limitations. Public materials do not document systematic tracking of AI-search prompts, recommendation frequency, cited sources, citation share, answer visibility, or brand visibility gaps across major AI assistants ^[5]. DeepSeek found no independently verifiable public documentation of how Factori derives AI search-demand signals, which AI assistants or search surfaces are used, or what prompt sets and volume models apply ^[6]. Kimi's assessment diverges sharply, describing Factori's platform as built on supply chain data, customs records, and trade intelligence rather than AI-analyzed search demand signals ^[7]. Public documentation does not verify category-specific U.S. coverage, sample sizes, statistical confidence, or validation against actual market-entry outcomes. Aggregated geographic signals may be less useful for digital-only categories.

Pricing or cost summary. Public pricing for the relevant Factori offering was not found on the reviewed pages, which route buyers to request a sample or talk to the team ^[5]. One independent marketplace source reports Mobility Data Global starting at approximately $360,000/year, other datasets from $120,000–$240,000/year, and API access from about $5,000/month ^[8]. Another marketplace listing shows dataset pricing examples from $25,000/year ^[9]. A free 100-row sample CSV is offered ^[10]. Pricing confidence is low, and the spread between reported figures is wide enough that buyers should treat all of them as unverified.

Where platforms disagreed. Fit ratings ranged from "good" (Anthropic, Grok) to "mixed" (OpenAI, Perplexity) to "uncertain" (DeepSeek, Kimi). The most material conflict is Kimi's characterization of Factori as a supply-chain and trade-data platform, which contradicts the market-data positioning described by OpenAI, Anthropic, Grok, and Perplexity. The requested product names — Factori Market Data, Factori Market Data Platform — were not located as clearly defined public pricing or product-plan pages ^[5]. Whether "Market Data" is a distinct SKU or a bundled use case remains unresolved ^[11].

2. Dageno

Questions This Section Answers

• Is Dageno worth it for new-category entry research, and what are its main drawbacks?
• Which AI market intelligence platform should a buyer choose for new market entry if they need cited-source and citation-architecture analysis?

Dageno ranks second with two platform mentions (33.3% share) but the strongest average listed position in the index at 1.50, with a best position of 1. It is the clearest fit when the buyer's core requirement is AI-search demand signals, brand-recommendation tracking, and cited-source analysis. The Dageno fit review covers the full assessment.

Why it ranked here. Dageno was named by DeepSeek (rank 2) and Kimi (rank 1), producing the joint-best average position. Its lower mention count than Factori is what places it second rather than first. Five of six platforms rated it a good or strong fit; DeepSeek and Kimi rated it uncertain.

Best suited for. Early-stage category screening based on AI answer demand, buyer journeys, search intents, competitors, and cited sources. Identifying which brands are recommended, which competitors appear across models or regions, and which third-party domains influence AI answers. Teams needing auditable prompt-, model-, region-, answer-, citation-, and URL-level evidence.

Main strengths for the use case. Dageno Market Intelligence 2.0 includes explicit Market Entry and Global Market Expansion workflows, organizing demand, intent, competition, market segments, brand value propositions, citation sources, search data, product data, and advertising data ^[12]. It analyzes citation sources, cited URLs, citation paths or "ghost citations," and the evidence behind AI answers, presenting conclusions as traceable to answer samples, cited domains, URLs, product cards, or ad records ^[12]. The platform tracks real AI conversation data at scale (120M+ data points) and analyzes Query Fanout — how AI decomposes complex questions ^{[13] [14]}. Coverage spans nine standard AI platforms on the pricing page, including ChatGPT, Grok, Gemini, Perplexity, Google AI Mode, Google AI Overview, Copilot, Brave, and Dola, with 86+ countries and regions ^[15]. A free public market search layer covering 12,000+ categories requires no login ^[16]. SOC 2 Type II compliance and SSO are documented ^[17].

Main limitations. AI-search signals are not equivalent to market size, customer demand, conversion propensity, revenue potential, or validated product-market fit ^[12]. Dageno itself states it does not estimate market size, total demand, revenue, or product-market-fit ^[18]. Public documentation does not disclose sampling size, prompt construction, weighting, deduplication, confidence intervals, or independent validation of rankings. Prompt usage is counted separately across AI platforms and countries, which can materially increase consumption for multi-model U.S. research ^[15]. Amazon Alexa is a custom integration rather than standard coverage.

Pricing or cost summary. The current public pricing page lists Starter at $49/month, Growth at $199/month, Scale at $410/month, and Custom by quote, with annual billing advertised as saving about 15% [e2:official:C2]. Starter includes 1 brand/project, 50 tracked prompts, 2 market segments, top-5 rankings, and 5 selected competitors. Growth includes 2 brands, 250 tracked prompts, 5 market segments, top-20 rankings, 10 competitors, AI Shopping, recurring reports, alerts, and MCP access. Scale includes 5 brands, 600 tracked prompts, 12 market segments, top-50 rankings, 20 competitors, AI Advertising, API, batch configuration, exports, and monthly market reports. A 7-day free trial is advertised. An independent August 2026 review reported different figures — $79/$199/$499 — so pricing should be treated as time-sensitive ^[19].

Where platforms disagreed. Pricing is the sharpest conflict: the official page shows $49/$199/$410 while an independent review reports $79/$199/$499 ^[19]. Independent reviews also differ on whether API and MCP access are available at Scale or only at higher tiers; the official page states MCP on Growth and API on Scale ^[15]. Kimi could not retrieve the official website and found no independent mentions, concluding the entity was unverifiable ^[20] — a direct contradiction of the detailed product documentation retrieved by OpenAI, Anthropic, Grok, and Perplexity. Anthropic notes the platform is consistently categorized by independent sources as GEO/AEO rather than traditional market research ^[21].

3. MyTelescope

Questions This Section Answers

• Is MyTelescope worth it for new market entry research, and what are its main drawbacks?
• Which platform for new market entry should a buyer choose if they already work inside Claude and want demand data delivered through MCP?

MyTelescope ranks third, tied with Dageno on average listed position (1.50) and best position (1), but placed lower because its two mentions came from Anthropic (rank 2) and Perplexity (rank 1) rather than producing a higher combined mention count. It is the strongest option for demand-led category screening inside Claude. The MyTelescope fit review covers the full assessment.

Why it ranked here. Four of six platforms rated it good or strong; DeepSeek and Kimi rated it uncertain. Its distinguishing evidence is the breadth of demand-signal sources and the MCP delivery model, not AI-answer citation architecture depth.

Best suited for. Companies testing whether a new category has measurable consumer or user demand. Product-marketing and growth teams comparing competitor interest, category terminology, and emerging demand signals. Teams that already use Claude and prefer MCP-based research rather than a separate analytics dashboard.

Main strengths for the use case. MyTelescope aggregates demand signals from 13 platforms: Google, TikTok, YouTube, Amazon, Pinterest, Bing, Instagram, X, eBay, Perplexity, App Store, Google Play, and Etsy ^[22]. It reports an 83% correlation with market share across 40+ validated categories, presented on the company's own site ^[23]. MCP integration connects demand data directly into Claude workflows without code ^[24]. Google Cloud published a case study describing MyTelescope as a digital market intelligence firm using Google Cloud AI technology ^[25]. Data history spans Google 48 months, Bing 24 months, and other sources approximately 12 months ^[26]. No PII is collected; signals are aggregated and anonymized, with GDPR and CCPA compliance claims ^{[27] [28]}.

Main limitations. Data is updated monthly, which may be inadequate for rapidly changing markets or launch monitoring ^[29]. Public materials do not document a full market-entry methodology covering TAM/SAM/SOM, willingness to pay, channel economics, regulation, or primary research. Citation monitoring methodology, model coverage, prompt sampling, and historical reproducibility are not publicly detailed. The 83% correlation claim is not independently substantiated in the reviewed materials. Source availability and geographic coverage vary by market. Credit consumption may make ongoing costs difficult to forecast.

Pricing or cost summary. Public monthly pricing lists 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 [e3:official:C2]. One-time credit packs are $50 for 250 credits, $100 for 500, $200 for 1,200, and $400 for 3,000. Annual prepayment adds 15% extra credits rather than a stated cash discount. Credits never expire and roll over month to month. Claude or another connected LLM may involve separate subscription charges not included in MyTelescope pricing.

Where platforms disagreed. Pricing is the main conflict: Anthropic cites historical references of $99/month (Pro) and $299/month (Team) from a 2026 review, while the official pricing page shows Basic/Starter/Growth tiers ^[30] [e3:official:C2]. Data update frequency is also disputed — the website states monthly updates while one independent review states daily updates ^[31]. Two public domains appear in results, mytelescope.ai and mytelescope.io, with an unclear relationship ^[32]. Grok rated the fit strong; DeepSeek and Kimi rated it uncertain, with Kimi unable to verify a dedicated new-market-entry workflow.

4. TopSlot

Questions This Section Answers

• Is TopSlot worth it for new market entry research, and what are its main drawbacks?
• Which platform should a buyer choose for new market entry if they need to know which brands AI assistants recommend in a category?

TopSlot ranks fourth with two mentions (33.3% share), an average listed position of 2.00, and a best position of 1. It is the most direct fit for validating how AI assistants describe a new category and which brands they recommend. The TopSlot fit review covers the full assessment.

Why it ranked here. TopSlot was named by DeepSeek (rank 1) and Kimi (rank 3), producing the third-strongest average position. Its fit ratings split sharply: OpenAI and Perplexity rated it good, DeepSeek and Kimi uncertain, and Anthropic and Grok weak.

Best suited for. Teams validating how AI assistants describe a new category and which brands they recommend. Companies comparing competitors and influential cited domains across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview. Marketing and SEO teams that want to connect AI-search findings to technical fixes and ongoing monitoring.

Main strengths for the use case. TopSlot enforces zero-brand-name buyer-intent queries to show what real buyers see without brand bias ^[33]. Growth includes 30 daily buyer-intent prompts pooled across up to two brands; Agency includes 100 across up to five brands ^[34]. AI Ranking can use real Google Search Console queries, remove brand, competitor, and domain terms, and test them against four AI models, classifying results as cited with link, named only, described but not named, or not mentioned ^[35]. The platform reports citation states, full response text, Google AI Overview sources, citation gaps, and technical citation fixes including Organization schema, FAQPage schema, llms.txt, freshness signals, and internal citation structure ^[34]. Agency adds geographic variance tracking using US, UK, and India proxy-rotated runs.

Main limitations. The product is positioned primarily as AI visibility and optimization software, not a full market-entry research platform ^[36]. Prompt volume is limited to 30 pooled prompts on Growth and 100 on Agency. Public documentation does not fully explain AI Market Intel's output fields, source-weighting methodology, competitor-discovery logic, or statistical confidence treatment. Growth does not publicly document the same geographic variance capability as Agency. Public evidence is company-reported; independent accuracy and business-outcome validation were not found.

Pricing or cost summary. Public monthly pricing is $149 for Growth and $249 for Agency, with annual billing stated to save 25% [e4:official:C2]. Growth includes up to 2 brands, 30 pooled daily prompts, four AI models, Google AI Overview tracking, 90-day history, AI Market Intel, Citation Authority, and 4 site audits per month up to 100 pages. Agency includes up to 5 brands, 100 pooled daily prompts, four AI models on every brand, 12-month history, geographic and time-of-day variance, cross-brand intelligence, and unlimited site audits up to 500 pages each. A free scorecard is advertised with no credit card and no commitment. A separate TopSlot Studio product for agencies is listed at $10,000 plus $799/month ^[37].

Where platforms disagreed. The most consequential disagreement is whether "AI Market Intel" and "Competitor Heatmap" exist as documented products. OpenAI and Perplexity describe AI Market Intel as a real module on Growth or Agency; Anthropic states neither appears as a distinct TopSlot offering in public documentation ^[38]; Grok found no reference to either ^[39]; DeepSeek could not confirm the products exist ^[40]. Pricing is also inconsistent across pages: one page shows Growth at $99/month with 2 projects and 15 prompts, another shows $149/month with 50 AI Ranking runs per week ^[41].

5. Klinko

Questions This Section Answers

• Is Klinko worth it for new market entry research, and what are its main drawbacks?
• Which platform should a lean founder-led team choose for new market entry if they need ranked opportunities and a validation plan rather than ongoing monitoring?

Klinko ranks fifth with two mentions (33.3% share), an average listed position of 2.50, and a best position of 2. It is the strongest fit for founders and small teams deciding which new audience or category to test first. The Klinko fit review covers the full assessment.

Why it ranked here. Klinko was named by DeepSeek (rank 3) and Kimi (rank 2). Four of six platforms rated it good; DeepSeek and Kimi rated it uncertain. Its evidence centers on opportunity ranking and validation planning rather than AI-answer visibility measurement.

Best suited for. Founders and small product, growth, or brand teams deciding which new audience or category to test first. New-market exploration requiring ranked opportunities, demand and pain-point signals, competitor-gap analysis, and a validation plan. Teams wanting lightweight ongoing monitoring after selecting an opportunity.

Main strengths for the use case. Klinko's New Market Exploration surfaces and ranks candidate audiences or segments using current market evidence, demand, buying motivation, unmet needs, and competitive gaps ^[42]. Its decision framework compares candidates on demand, urgency, whitespace, fit, reachability, and evidence quality, then recommends an opportunity and the next validation step. It analyzes public signals from forums, communities, comment sections, and search behavior to extract audience language, buying motivations, and key objections ^[43]. Signal Watch monitors changes in demand, competition, customer language, channels, and segment structure after an opportunity is selected ^[44]. Market Opportunity Analyst is available through Klinko MCP for Codex CLI, the Codex desktop app, and Claude Code ^[45]. Klinko explicitly states its outputs are decision aids and do not replace interviews, surveys, behavioral tests, or representative population research ^[46].

Main limitations. Public materials do not fully document the underlying U.S. search-demand data sources, coverage, geographic precision, refresh rate, or weighting. Klinko warns that AI outputs may contain factual errors, missing context, outdated information, fabricated details, bias, and unsupported inferences ^[47]. Rankings are hypotheses and decision aids, not statistical guarantees. The free plan has one-time credits and no monitoring. No team or collaboration workspace plan is publicly listed [e5:official:C2]. The platform is optimized for North America English only ^[48].

Pricing or cost summary. Public pricing lists a free tier with 200 one-time credits and 1 GB storage, a $29/month tier with 3,000 monthly credits, 50 daily bonus credits, 20 GB storage, and 2 signal monitors, and a $99/month tier with 15,000 monthly credits, 100 daily bonus credits, 50 GB storage, and 5 signal monitors [e5:official:C2]. Credit packs are $19 for 2,000 credits, $49 for 6,000, and $89 for 15,000, valid for 90 days and usable only while a paid plan is active. The pricing page shows struck-through higher prices beside the $29 and $99 figures, so it is unclear whether the displayed prices are permanent, promotional, or introductory ^[49].

Where platforms disagreed. DeepSeek's assessment diverges most sharply: it describes Klinko as an AI search-visibility and brand-monitoring tool rather than a category-entry intelligence platform, and found no verifiable public pricing ^[50]. Kimi could not access the official website and found no independent reviews or directory listings ^[51]. Anthropic, Grok, OpenAI, and Perplexity all retrieved detailed product and pricing documentation. The 90–95% accuracy claim is platform-reported and not independently verified ^[48].

6. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for new market entry research, and what are its main drawbacks?
• Which AI search audit platform has the lowest published entry price for monitoring brand visibility across AI engines?

OtterlyAI ranks sixth with two mentions (33.3% share), an average listed position of 4.50, and a best position of 4. It is the most transparently priced option for ongoing AI-search visibility monitoring. The OtterlyAI fit review covers the full assessment.

Why it ranked here. OtterlyAI was named by OpenAI (rank 4) and Perplexity (rank 5). Fit ratings ranged from good (OpenAI, Grok, Perplexity) to mixed (Anthropic, DeepSeek) to weak (Kimi). Its evidence is strongest on citation and domain-source reporting and weakest on demand-volume data.

Best suited for. Comparing brand and competitor visibility across major AI search engines. Identifying frequently cited domains, source categories, and potential content or authority gaps. Testing buyer prompts and category terminology before or during a U.S. market-entry launch. Creating a repeatable daily baseline for AI-search visibility.

Main strengths for the use case. OtterlyAI provides an AI Prompt Research tool that generates prompt ideas from SEO keywords, a URL, or a brand, domain, and industry, with intent-volume estimates ^[52]. Prompt monitoring reports brand coverage, brand mentions, sentiment, competitors appearing in answers, and prompt-level competitor rankings ^[53]. Prompt detail and domain-source reports expose cited URLs, citation counts, domain categories, competitor presence on cited pages, and domain coverage over time ^{[54] [55]}. The company reports that its September 2025 analysis of 1.4 million citation links found brand websites, news and media, and Reddit among the most frequently cited source categories ^[56]. Current plan documentation lists ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot as included engines, with Google AI Mode, Gemini, and Claude available as add-ons ^[57]. Filters by date range, engine, country, and tags support U.S.-specific analysis.

Main limitations. No verified real-user AI-query dataset is available; prompt intent volume is an estimate ^[52]. Results depend on the prompts selected, so unmonitored buyer language and competitors can be missed. The platform does not establish market size, demand elasticity, revenue potential, customer acquisition cost, or purchase intent. AI outputs vary by context, and the platform's baseline may differ from an individual user's results. Base plans include only a defined set of engines; important engines require add-ons. Historical data begins when a prompt is added, and changing prompt wording requires deleting and recreating the prompt without transferring history ^[52].

Pricing or cost summary. The official pricing page displays Lite at $29/month or $25/month annually, Standard at $189/month or $160/month annually, and Premium at $489/month or $422/month annually, with annual billing stated as 15% discounted [e6:official:C2]. Lite includes 15 prompts; Standard 100; Premium 400. Additional 100 prompts are listed at $99 monthly or $1,020 annually on Standard and Premium. Engine add-ons are separately priced: Google AI Mode and Gemini from $9/month on Lite, $59/month on Standard, and $149/month on Premium; Claude from $29/month, $109/month, and $439/month respectively. Enterprise starts from $1,000/month. Standard and Premium include API, MCP, and Agent Analytics allocations; Lite does not.

Where platforms disagreed. Kimi rated the fit weak, describing OtterlyAI as a brand and share-of-search monitoring tool that requires existing brand presence and offers no market sizing, demand prediction, regulatory assessment, or entry-mode evaluation ^[58]. Anthropic rated it mixed, noting the absence of real demand-volume data as a limiting factor for market prioritization ^[59]. OpenAI, Grok, and Perplexity rated it good. Cancellation documentation says historical data is deleted after cancellation, while the published terms provide a 30-day post-termination download window — a conflict buyers should verify ^{[60] [61]}.

7. SageScan

Questions This Section Answers

• Is SageScan worth it for new market entry research, and what are its main drawbacks?
• Which platform should a buyer choose for new market entry if they need a fast, low-cost structured report with TAM/SAM/SOM framing?

SageScan ranks seventh with two mentions (33.3% share), an average listed position of 4.50, and a best position of 4. It is the strongest fit for a fast, one-off structured market validation report. The SageScan fit review covers the full assessment.

Why it ranked here. SageScan was named by DeepSeek (rank 4) and Kimi (rank 5). Fit ratings were good (Anthropic, Grok, Perplexity), mixed (OpenAI), and uncertain (DeepSeek, Kimi). Its evidence centers on report-based market validation rather than AI-search demand measurement.

Best suited for. Early-stage companies screening a product or service category before committing substantial build or launch resources. Founders, product managers, and innovation teams needing a fast, one-off structured report with cited public research. Buyers prioritizing speed, low upfront cost, and a shareable PDF over continuous market-intelligence monitoring.

Main strengths for the use case. SageScan positions Market Validation as a structured report covering TAM/SAM/SOM, competitors, personas, and PESTEL-style analysis ^[62]. The company claims guided briefing, specialized AI agents, real-time web research, expert frameworks, verifiable sources, visual report outputs, PDF export, and shareable links ^[63]. The Market Validation example includes TAM/SAM/SOM analysis, customer personas, competitor mapping, positioning matrices, feature comparisons, executive-style insights, PDF export, and shareable web access. One product page advertises results in approximately 90 minutes, while the current homepage describes Sage Reports as ready in minutes ^[63]. An independent directory categorizes SageScan as a market and futures intelligence AI-agent product with multi-agent collaboration and live-data integration ^[64].

Main limitations. The reviewed public materials do not clearly specify keyword-volume data, search-intent measurement, Google Trends or equivalent integrations, AI-answer demand measurement, or a repeatable methodology for identifying brands most frequently recommended in AI answers ^[62]. No clearly documented citation share-of-voice, source influence, citation ownership, or visibility-gap remediation workflow was found. Public materials do not establish the accuracy or reproducibility of market-size estimates. The product appears oriented toward one-off reports rather than recurring monitoring. Public pricing, currency, and product availability information are inconsistent across pages. SageScan's privacy policy states that it collects users' market-research responses and may share information with third-party service providers, with limited publicly specified security detail ^[65].

Pricing or cost summary. Public pricing is inconsistent by page and currency. The founder-focused page lists Market Validation at $99, Business Builder at $149, and Strategic Foresight at $199 ^[63]. The current homepage lists Market Validation at €99, Business Builder at €149, Strategic Foresight at €249, and consultancy-style Sage Scenarios from €1,500 upward [e7:official:C1]. The founder page advertises no subscription required and a 30-day money-back guarantee. Independent directories cite conflicting figures: one lists a free plan with paid plans from $49/month ^[66], and another lists SageScan as freemium ^[67].

Where platforms disagreed. Pricing and currency conflicts are the most concrete disagreement. Anthropic reports no public pricing at all and cites a marketing claim of "better than a £7,500 report, for 1% of the cost" ^[68]. Grok reports Market Validation at €99/$99 one-time with high pricing confidence ^[69]. Perplexity reports $99 on the company site but notes conflicting directory listings ^[70]. Kimi could not verify the recommended products exist on accessible portions of the site ^[71]. Anthropic also flags an unusually high review count (837 reviews) for a 2023-founded company, with authenticity not independently verifiable ^[72].

8. LuminixAI

Questions This Section Answers

• Is LuminixAI worth it for new market entry research, and what are its main drawbacks?
• Which platform should a buyer choose for new market entry if they want the lowest-cost ad hoc research report with citations?

LuminixAI ranks eighth with two mentions (33.3% share), an average listed position of 5.50, and a best position of 5. It is the cheapest option in the index for ad hoc market-entry research synthesis. The LuminixAI fit review covers the full assessment.

Why it ranked here. LuminixAI was named by DeepSeek (rank 5) and Kimi (rank 6). Fit ratings were strong (Grok), good (Perplexity), mixed (OpenAI, Anthropic), and uncertain (DeepSeek, Kimi). Its evidence centers on general research synthesis rather than AI-search demand measurement.

Best suited for. Early-stage U.S. category-entry screening. Rapid competitor, customer, market-size, trend, and entry-strategy research. Teams needing low-cost, ad hoc research reports with citations.

Main strengths for the use case. The Market Entry Research service is positioned to cover market size and growth, addressable-market definition, segment prioritization, trends, regulatory context, competitor mapping, market-share estimates, customer needs, buying criteria, switching costs, willingness to pay, entry mode, positioning, go-to-market, partnerships, and risk mitigation ^[73]. LuminixAI states that its platform generates questions, performs parallel web research with citations, synthesizes findings, supports document uploads and custom prompts, saves project history, provides follow-up questions, and exports PDF or Markdown reports ^[74]. Capterra independently describes multi-agent research, cross-referencing, synthesis, citations, follow-up questions, and export capability, though its profile may reflect provider-supplied information ^[75]. The platform uses up to eight parallel AI agents with a challenger agent for counterpoints ^{[76] [77]}.

Main limitations. The reviewed Market Entry materials do not explicitly verify recurring measurement of AI-search demand, query volumes, prompt-level brand recommendations, answer-engine share of voice, cited-source share, or changes in AI-generated category visibility ^[73]. Public materials do not establish source-quality scoring, citation-authority weighting, citation-network analysis, engine-specific citation coverage, or a repeatable citation-architecture audit. Web research and AI synthesis may not substitute for primary customer interviews, statistically representative demand measurement, proprietary market-share data, or expert regulatory advice. Capterra shows a 0.0 rating with no displayed customer-review evidence ^[75]. Anthropic found no distinct "Market Entry Analysis" or "Market Entry Research Service" product on the platform ^[78].

Pricing or cost summary. The official pricing page states that one fast research report is free and one deep research report costs $5 [e8:official:C2]. Paid credits are stated to be valid for 12 months. A Capterra listing instead reports a free starter plan with two projects and a $20 one-time four-project bundle ^[75]. The official site also states that Paddle.com Market Limited is the merchant of record ^[79]. A refund is offered if the buyer contacts the company within 14 days and is not satisfied with output quality.

Where platforms disagreed. Kimi could not retrieve the website and found no third-party coverage, concluding the entity was unverifiable. Grok rated the fit strong and cited a dedicated market-entry use case page ^[80]. Anthropic rated it mixed and stated the recommended product names do not exist as distinct offerings ^[78]. Pricing conflicts between the official $5-per-deep-report model and the Capterra $20 four-project bundle remain unresolved ^[75].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does a six-platform AI consensus study reveal about how AI systems describe the AI market intelligence category for new market entry?
• Which AI market intelligence providers are most frequently recommended for new market entry across ChatGPT, Claude, DeepSeek, Grok, Perplexity, and Kimi?

The category is fragmented and the consensus is thin. No entity was named by more than three of six platforms, and the top-ranked entity holds only a 50.0% share. Six of the eight qualifying entities were named by exactly two platforms. That pattern suggests the market has no dominant provider that AI systems converge on.

The ranking also reveals a structural split in what "AI market intelligence for new market entry" means. One cluster — Dageno, MyTelescope, TopSlot, OtterlyAI — is built around AI-search and answer-engine signals: prompts, brand recommendations, citations, and visibility gaps. A second cluster — Factori, SageScan, LuminixAI — is built around market data, structured reports, and research synthesis. Klinko sits between them, ranking opportunities from public signals rather than measuring AI answers directly.

Citation architecture is the least-served requirement. Only Dageno documents citation paths, ghost citations, and answer-level traceability in detail ^[81]. OtterlyAI documents cited URLs, citation counts, and domain categories ^[82]. TopSlot reports citation states and Google AI Overview sources ^[83]. Factori, SageScan, and LuminixAI do not publicly document citation-architecture outputs at all.

Company-owned sources dominate the evidence base. Across the eight entities, owned citations outnumber independent ones in every bundle. That means most capability claims in this index are vendor-reported and should be verified directly before purchase.

Where the AI Platforms Agreed

Questions This Section Answers

• Where do AI platforms agree about which market intelligence providers fit new market entry?

Three points of agreement stand out.

First, every platform that evaluated Dageno and MyTelescope placed them at or near the top of its list. Dageno received ranks of 2 and 1; MyTelescope received ranks 2 and 1. Both were rated good or strong by at least four of six platforms.

Second, platforms broadly agreed that AI-search visibility tools are not market-sizing tools. OpenAI, Anthropic, DeepSeek, Perplexity, and Kimi all noted that Dageno, TopSlot, OtterlyAI, and MyTelescope measure AI-answer visibility rather than market size, revenue potential, or validated demand. This is a consistent limitation across the AI-search cluster.

Third, platforms agreed that Factori's strength is geographic and physical-world data. OpenAI, Anthropic, Grok, and Perplexity all described geo-level demand intelligence, mobility, places, and location-aware analysis as its core capability ^{[84] [85] [86] [87]}.

Where the AI Platforms Disagreed

Questions This Section Answers

• Where do AI platforms disagree about which market intelligence providers fit new market entry, and what should a buyer verify as a result?

The disagreements are material and should shape buyer diligence.

Entity verifiability. Kimi could not retrieve the official websites for Dageno, Klinko, SageScan, or LuminixAI and concluded each was unverifiable ^{[88] [89] [90]}. OpenAI, Anthropic, Grok, and Perplexity retrieved detailed product and pricing documentation for the same entities. This is the single largest disagreement in the study and likely reflects differences in retrieval configuration rather than product reality.

Factori's category identity. Kimi described Factori as a supply-chain and trade-data platform ^[91], while OpenAI, Anthropic, Grok, and Perplexity described it as a market-data and demand-intelligence provider. The two characterizations are not reconcilable from the supplied evidence.

Product existence. Anthropic stated that TopSlot's "AI Market Intel" and "Competitor Heatmap" do not appear as documented offerings ^[92], while OpenAI and Perplexity described AI Market Intel as a real module. Anthropic similarly stated that LuminixAI's "Market Entry Analysis" and "Market Entry Research Service" do not exist as named products ^[93].

Pricing. Dageno's official page shows $49/$199/$410 while an independent review reports $79/$199/$499 ^[94]. MyTelescope's official page shows Basic/Starter/Growth tiers while a 2026 review cites $99 and $299 plans ^[95]. SageScan lists prices in both dollars and euros across pages [e7:official:C1]. LuminixAI's official $5-per-report model conflicts with a Capterra $20 four-project bundle ^[96].

Fit ratings. TopSlot received good ratings from OpenAI and Perplexity and weak ratings from Anthropic and Grok. OtterlyAI received good ratings from OpenAI, Grok, and Perplexity and a weak rating from Kimi. These splits reflect genuinely different views of whether AI-visibility monitoring counts as market intelligence.

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI market intelligence platform for new market entry?
• Which AI market intelligence platform should a buyer choose for new market entry if they need both physical-world demand data and AI-search visibility evidence?

Start with the decision, not the tool. If the entry decision depends on physical location, local demand, mobility, retail activity, or trade areas, Factori's evidence is the most relevant. If it depends on how AI assistants describe the category and which brands they recommend, Dageno, TopSlot, MyTelescope, or OtterlyAI are the better starting points. If it depends on a fast structured report with TAM/SAM/SOM framing, SageScan or LuminixAI fit better.

Then check whether the platform measures what you actually need. AI-search visibility is not market size. Prompt intent volume is an estimate, not observed query data ^[97]. Search-demand correlation claims are vendor-reported ^[98]. None of the eight entities in this index provides independently validated market sizing.

Then verify the commercial terms directly. Pricing conflicts appear in five of the eight entity bundles. Product names that appear in platform recommendations sometimes do not appear in vendor documentation. Buyers should request a written quote, a sample deliverable, and a scoped pilot before committing.

Finally, consider pairing. OpenAI's assessment of Factori explicitly recommends using it alongside an AI-search visibility platform when entry decisions require both real-world local demand and generative-search visibility evidence ^[99]. The same logic applies across this index: no single entity covers both the physical-demand and AI-answer-signal halves of the buyer need.

Methodology

This index was produced from a single standardized prompt sent once to each of six AI platforms on 2026-09-18: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, and Kimi. The prompt asked which AI market intelligence providers the platform would recommend for new market-entry research and why.

The ranking order is determined by platform mentions first, then average listed position, then best listed position. Platform mentions count only platforms that named the entity during ranking discovery. All six platforms later evaluated fit, but that is a separate measure and does not affect mention counts.

Entities qualify for this index only if they were named by at least two platforms. Thirty-two unique entities were named across all platforms; eight met the two-mention threshold.

Entity evidence bundles are the authority for buyer fit, features, pricing, strengths, limitations, and disagreements. The final ranking table is the authority for rank, platform mentions, platform share, average rank, and best rank.

Methodology Limitations

This study used one standardized prompt sent once to each included platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A single run captures one snapshot, not a stable measurement.

Platform recommendations are market intelligence, not independent customer reviews or proof of quality. Company-owned citations materially outnumber independent citations across every entity bundle in this study. Company claims should not be described as independently verified.

Platform-reported research dates differ from the authoritative run date. DeepSeek reported 2026-02-14; the other five platforms reported 2026-09-18. Those dates are provenance metadata and do not independently prove freshness.

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Where conflicts exist, they are described in the relevant entity section with guidance on what buyers should verify.

Final Verdict

Factori ranks first in this six-platform consensus index on mention count alone, but its average listed position of 6.33 is the weakest of any qualifying entity, and its evidence does not support the AI-search demand, brand-recommendation, or citation-architecture capabilities that define this use case. Dageno and MyTelescope, tied at an average position of 1.50, are the stronger fits for buyers whose core need is AI-search demand signals and cited-source analysis. TopSlot is the most direct fit for validating how AI assistants describe a new category. Klinko serves lean founder-led opportunity ranking. OtterlyAI offers the most transparent entry pricing for ongoing AI-search visibility monitoring. SageScan and LuminixAI serve fast, low-cost, one-off research needs. No single entity in this index covers both physical-world demand data and AI-answer visibility evidence, and no entity provides independently validated market sizing. Buyers should treat this index as a shortlist for direct verification, not as a purchase decision.