Answer Capsule
Omnia is a good fit for AI citation intelligence in market research, with one platform rating it a strong fit and three rating it good. Two of the seven platforms named Omnia during the ranking stage, placing it at an average listed rank of 7.5 and a best rank of 5. The strongest reason to consider it is direct citation-level tracking: Omnia reports cited pages and domains, competitor citation gaps, full AI-answer snapshots, and daily refresh across major engines [1]. The main limitation is verification depth: public materials do not document sampling methodology, historical retention, export limits, or United States pricing, and company-owned citations materially outnumber independent ones.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, google) |
| Share of included platform responses | 28.6% |
| Average listed rank | 7.5 |
| Best listed rank | 5 |
| Relevant product/model/plan | Omnia Citation & AI Visibility Tracking Module; Omnia Core Platform |
| Overall use-case fit | Strong (1 platform); Good (4 platforms); Uncertain (2 platforms) — 7 platforms analyzed |
| Research date | 2026-09-18 |
Why Omnia Qualified for This Study
Questions This Section Answers
- Is Omnia a good choice for AI Citation Intelligence Platforms for Market Research?
- Why did only two of seven AI platforms name Omnia in the ranking stage?
Omnia qualified because it directly addresses the study's core criteria: identifying cited domains and pages, mapping competitor citation support, comparing citation architecture, finding source gaps, and tracking how those patterns evolve. Two platforms named it in the ranking stage — anthropic and google — which met the study's minimum-mention threshold of two [3].
The qualification is narrow rather than broad. Omnia's average listed rank was 7.5, with a best rank of 5 and a final rank of 8, so it entered the study as a lower-ranked finalist rather than a consensus leader. Five of the seven platforms did not name it during ranking discovery, even though several later evaluated its fit.
The evidence base is also lopsided. Across the supplied catalog, 26 citations are company-owned and 13 are independent, so most capability claims trace back to Omnia's own pages. Independent sources include a review site that scored Omnia 9.6/10 across 87 tools [5], a directory listing with a 4.4/5 rating [7], and funding coverage reporting €3.5M raised and customers including Personio, ElevenLabs, Air Europa, Ironhack, and Trade Republic [8]. One platform, kimi, could not access the Omnia website at all and treated the product as unverified [9].
The Product, Model, Plan, or Service Most Relevant to AI Citation Intelligence Platforms for Market Research
Questions This Section Answers
- Which Omnia plan should a buyer choose if they need citation-level page and domain data for market research?
- Does the Omnia Citation & AI Visibility Tracking Module exist as a separate purchasable product or as a platform feature?
The relevant offering is the Omnia Citation & AI Visibility Tracking Module inside the Omnia Core Platform. Omnia describes daily visibility and citation refreshes, full AI-answer snapshots, cited pages and domains, competitor benchmarking, country and language tracking, and browser simulation [10]. It also documents URL-level, domain-level, and entity-level citation breakdowns that show where competitors win and which third-party sources to target [11].
The product boundary is genuinely unclear, and buyers should not assume otherwise. Omnia's site uses both "Omnia" and "Omnio" terminology, with Omnia appearing to be the platform and Omnio described as an AI visibility agent; the exact scope of the recommended module is not defined in the reviewed sources. One platform could not confirm that the "Citation & AI Visibility Tracking Module" exists as a distinct purchasable module rather than a feature [12]. Google's evaluation describes the Core Platform as comprising Citation & AI Visibility Tracking, Prompt Discovery, Insights 2.0, and the Omnio Agent [13].
For research workflows, the integration surface matters. Omnia documents a REST API for brand performance, share of voice, citations, and sentiment, plus an MCP server for querying visibility and citation data through compatible AI clients [14]. Public documentation does not establish the full schema, rate limits, or availability by plan.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Omnia does well for citation market research?
- Can Omnia show which domains and pages competitors are cited in but my brand is not?
The clearest agreement is that Omnia tracks citations at the page and domain level. Multiple platforms independently describe cited URL and domain identification, competitor citation gaps, and full answer snapshots [16]. This is the single capability most directly aligned with the study's criteria.
A second area of agreement is competitor benchmarking. Platforms describe share of voice, competitor mentions, and identification of citation sources where competitors appear but the buyer does not [21]. Omnia's MCP documentation specifically describes filtering citation analysis by topic, date range, or competitor [21].
A third is time-series tracking. Omnia states that prompts and citation data refresh every 24 hours, that full response snapshots are stored, and that a moving average smooths short-term spikes [16]. One platform notes that some implementations may use weekly scans depending on plan tier [25], which is a plan-level caveat rather than a contradiction of the daily-refresh claim.
Agreement here reflects consistent platform reporting, not independent verification of product quality. Most of these claims trace to Omnia's own documentation.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How many AI engines does Omnia actually track, and does engine coverage differ by plan?
- Is Omnia's pricing €79 per month or $299 per month for a United States buyer?
Engine coverage is the sharpest conflict. Omnia's tracking page emphasizes four core engines — ChatGPT, Perplexity, Google AI Overviews, and Google AI Mode — while the pricing page lists up to seven engines and says some are available on request [26]. One platform states that Omnia deliberately excludes other engines to reduce noise [28], while another reports support across 17+ engines on all plans [29]. Entitlement by plan is not resolved in the public materials.
Pricing conflicts are material for a United States buyer. Omnia's public pricing page lists Growth at €79/month, Pro at €279/month, and Enterprise as custom, with a 14-day trial, credit packs, and a yearly option advertised as saving 20% [27]. One platform reports Growth at $299/month and Pro at $599/month [32], and another cites $299/month as the lowest paid plan [33]. The euro figures are displayed despite the United States target geography, and taxes, USD billing, and conversion are unclear.
Fit ratings diverged. Grok rated Omnia a strong fit; openai, anthropic, google, and perplexity rated it good; deepseek and kimi rated it uncertain. Kimi's uncertainty was procedural — the website returned errors during multiple research attempts, and no independent source confirmed Omnia in the AI citation intelligence category as of September 2026 [34]. Deepseek's uncertainty reflected absence of evidence rather than contradiction: no independent validation, no documented cross-competitor benchmarking, and no published pricing were located [35].
Methodology disclosure is a shared gap. No platform found independently verified detail on prompt sampling, browser-location controls, deduplication, confidence intervals, or cross-engine comparability [26]. Historical retention duration, raw-data export limits, API rate limits, and enterprise SLA terms are also not publicly specified.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Omnia support country and language-level citation tracking for United States market research?
- Can Omnia export citation data into an external BI or research workflow?
Citation identification is the strongest capability. Omnia states it records the complete AI answer for each prompt, including engine, date, mentioned brands, and all citations, and that users can see cited pages and domains and identify citation gaps [37]. It reports URL-level, domain-level, and entity-level breakdowns [38].
Competitor citation intelligence is well supported on paper. The platform reports competitor benchmarking, share of voice, competitor mentions, and which citation sources competitors appear in that the buyer does not [39]. One independent glossary source notes that citation gap analysis identifies competitor dominance in AI responses and that 86% of AI citations come from brand-controlled sources [42].
Geographic and language tracking uses browser simulation in real locations, which Omnia says supports country and language views [37]. This is relevant for United States research but the method is company-reported.
Evolution tracking relies on daily refresh and stored snapshots [37]. The maximum historical retention period is not stated publicly, which limits how far back a longitudinal study can reach without vendor confirmation.
Workflow integration includes a REST API and an MCP server [45]. One independent review reports that data exports are locked behind the Pro tier at €279/month [46], which is a practical constraint for research teams on entry plans.
Citation architecture analysis is only partially supported. Public materials support analysis of cited URLs and domains, owned versus third-party sources, competitor gaps, citation share, and full answer context, but do not clearly confirm passage-level attribution, robust source taxonomy, or statistically comparable sampling across engines [47].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Omnia cost per month, and are there setup or cancellation fees?
- What are Omnia's cancellation and renewal terms for monthly versus annual billing?
Public pricing is partially disclosed and internally inconsistent. Omnia's pricing page lists Growth at €79/month with up to 25 prompts, 150 insight credits, and four AI engines by default, with up to seven engines listed; Pro at €279/month with 600 insight credits; and Enterprise as custom with 1,500 insight credits [48]. Google's evaluation reports annual equivalents of €63/month, €223/month, and €399/month respectively, with a 20% annual discount [51].
Credit packs are listed at €10 for 150 credits, €50 for 750 credits, and €100 for 1,500 credits, and prompt packs of 25 are described as add-ons without a public price [48]. Omnia states that monthly and purchased credits carry over and pool rather than expiring (official:C2).
Contract terms are partially documented. Omnia's terms state that monthly plans are cancellable at the end of the current billing cycle and annual plans require 30 days' notice before renewal, with fees exclusive of VAT and payment via Stripe or direct invoicing (official:C3). A 14-day free trial with no credit card required is advertised [48]. The public pricing page does not clearly state refund, data-export, or deletion terms, and enterprise contract terms, service levels, support, and data-processing terms are unclear.
Conflicting price points remain unresolved. Independent sources cite $299/month for Growth and $599/month for Pro [52], and one source describes $299/month as the entry price for only 25 prompts [53]. Whether the euro tiers remain active in 2026, and how they convert for United States customers, is not established by the supplied evidence.
Best Suited For
Questions This Section Answers
- Who gets the most value from Omnia for AI citation market research?
- Is Omnia suitable for agencies managing multiple brands or clients?
Omnia is best suited to research and marketing teams that need recurring, prompt-level analysis of AI citations, competitor visibility, cited domains and pages, geographic differences, and change over time [54]. Teams benchmarking brand and competitor citations across ChatGPT, Perplexity, Google AI Overviews, and Google AI Mode fit the documented core coverage.
Agencies and multi-brand teams are a documented fit. Omnia supports managing multiple brands and clients from a single account with multi-country and multi-language prompt tracking [55], and one platform notes that additional user seats and multi-brand management are included on all plans [56].
Teams that want monitoring plus an action layer also fit. Omnia markets an execution layer that creates briefs, content, outreach targets, and publishing actions, and one independent review describes it as converting citation data into a prioritized action backlog for teams that want to act rather than only monitor [57].
Buyers who need API or MCP access for repeatable research workflows are a reasonable fit, since both are documented [59], though plan-level availability is not published.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Omnia for AI Citation Intelligence Platforms for Market Research?
- Is Omnia a poor fit for buyers who need audited methodology or independently validated engine coverage?
Buyers requiring a fully documented, neutral research panel with independently validated engine coverage and methodology are not well served [61]. No platform found independent verification of sampling methodology, deduplication, confidence intervals, or cross-engine comparability.
Organizations needing transparent enterprise SLAs, guaranteed historical retention, or public API and export pricing before procurement should look elsewhere or negotiate first [63]. Historical retention duration and raw-data export limits are not publicly specified.
Teams whose target platforms fall outside Omnia's supported engines are a poor fit. One platform notes that if buyers rely heavily on Claude or emerging platforms like Grok, broader coverage is needed [62], and an independent comparison reports no native Grok support and no direct Google Search Console integration [65].
Research-only buyers may find the action layer a scope tradeoff. Omnia markets both monitoring and an execution layer that creates briefs, content, outreach targets, and publishing actions, which is useful for activation but may complicate neutrality for buyers seeking a narrowly neutral measurement product [66].
Small teams that cannot justify the entry price before proving ROI are also a weak fit, particularly if the $299/month figure applies to their region [62].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Omnia for a buyer who needs broader AI engine coverage?
- When should a buyer choose a broader enterprise research platform instead of Omnia?
Choose a broader enterprise search, web-intelligence, or consumer-insight platform when the project requires non-AI web sources, social data, surveys, or a larger research corpus [67]. Omnia is scoped to AI-answer citations rather than general market data.
Choose another AI visibility vendor when it publicly documents the buyer's required engines, sampling methodology, historical retention, raw exports, and enterprise SLAs more clearly [67]. One platform specifically recommends vendors with published methodology for buyers who need independently benchmarked or audited AI-citation datasets [68].
Choose a different tool when integration with traditional SEO platforms matters. One platform notes that research teams requiring integration with Semrush or Ahrefs in a unified dashboard, or needing coverage of Claude, Grok, or other emerging engines, should consider alternatives [69]. Another recommends alternatives for high-volume, low-cost prompt monitoring without execution features, for native Google Search Console integration, or when tracking xAI's Grok is critical [70].
Use Omnia alongside — not instead of — independent manual validation when findings will inform high-stakes market claims or executive reporting [67].
Questions to Verify Before Buying
Questions This Section Answers
-
What should a buyer confirm with Omnia before signing a contract?
-
Which engines and export rights are included in each Omnia plan?
-
Which exact plan includes the Citation & AI Visibility Tracking Module and Omnia Core Platform, and are citation-level page and domain views included without a separate add-on?
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Which engines are included for United States research today, including Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, and Perplexity?
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What is the prompt-sampling methodology, query volume, browser-location method, deduplication rule, and reproducibility standard?
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How many months or years of full answer snapshots and citation history are retained?
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Can raw answers, citations, source URLs, timestamps, engine metadata, and competitor data be exported in bulk, and on which tier?
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What are API and MCP availability, rate limits, authentication, audit logging, and additional charges?
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Are country, language, brand, workspace, user, and competitor limits different by plan?
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Are annual commitments, cancellation, renewal, refunds, data deletion, DPA, security documentation, and SLA terms available?
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Are the listed euro prices converted to USD for United States customers, and are taxes or implementation fees additional?
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Can the buyer separate measurement-only access from Omnia's content-generation, outreach, publishing, or optimization features?
Final AI Consensus Verdict
Omnia is a good fit for AI citation intelligence in market research, with one platform rating it strong, four rating it good, and two rating it uncertain. It directly addresses the study's criteria: cited domains and pages, competitor source gaps, prompt-level context, geographic variation, and time-series monitoring [71].
The consensus is conditional rather than settled. Two of seven platforms named Omnia in the ranking stage, its average listed rank was 7.5, and company-owned citations outnumber independent ones by roughly two to one. Engine coverage, pricing, and plan entitlements conflict across sources, and no platform found independently verified methodology.
Procurement should remain conditional on verifying methodology, historical data access, exact engine coverage, exports, United States pricing, and enterprise terms. Buyers who need audited methodology, guaranteed retention, or broad engine coverage should compare alternatives before committing.
How This Review Was Produced
This review aggregates fit evaluations from seven AI platforms that assessed Omnia for AI Citation Intelligence Platforms for Market Research on the study date of 2026-09-18. Each platform independently researched Omnia and returned a fit rating, use-case findings, limitations, pricing notes, and citations.
Platform mentions in the ranking stage count only platforms that named Omnia during ranking discovery, not platforms that later evaluated its fit. Two platforms met that bar. Fit ratings came from all seven evaluations.
Citations are platform-reported evidence and were not independently verified by this review. The supplied URLs were collected from platform responses and were not independently validated. Company-owned citations materially outnumber independent citations, so company claims should not be read as independently confirmed.
Methodology Limitations
- Platform-reported research dates differ from the authoritative run date. Deepseek's evaluation is dated 2026-01-15, while the study date is 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.
- One platform, kimi, could not access the Omnia website during research and treated all product claims as unverified [74]. Its uncertainty reflects access failure, not a negative finding.
- Deepseek's evaluation ran without search enabled, so its findings rest on limited retrieved material [75].
- Pricing, engine coverage, and plan entitlements conflict across sources and were not resolved. Buyers should treat all figures as unconfirmed until verified with the vendor.
- Historical retention, export limits, API rate limits, sampling methodology, and enterprise SLA terms are not publicly specified in the reviewed sources.
- Agreement among AI platforms does not prove product quality. It reflects consistent reporting, much of it from company-owned pages.
- No personal testing, customer experience, or independent verification was performed for this review.
Explore more ai search audits market intelligence guidance in the category directory.
Sources
Company-Owned Sources
- Citany — AI Brand Visibility Monitor Across 8 AI Engines: https://citany.com/
- Citingly — AI Brand Intelligence Platform: https://citingly.com/
- Introduction | Omnia Docs: https://docs.useomnia.com/
- MCP Overview | Omnia MCP: https://docs.useomnia.com/mcp
- Cite AI — See Which Businesses AI Recommends in Your Market: https://usecite.ai/
- Omnia: AI Visibility Software for Small Marketing Teams: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHifdDhfFj4oss2sQzCTwQ2ErO-wUMx88MXnIWa65WNyNgpm5wc8jEbL_K_TVxUKBoyTy7uhUqXTUyMvS5bVW2iTmi3FLupWfhfo-pLpf8j
- AI Search Optimization Platform for Brands | Cited: https://www.getcited.in/platform
- Citation Intelligence | GetMentions AI: https://www.getmentions.ai/product/citation-intelligence
- Citation Intelligence: Find Your Hidden Earned Media | Spyglasses: https://www.spyglasses.io/en/citation-intelligence
- See Which Sources AI Engines Cite | Analyze AI: https://www.tryanalyze.ai/features/citation-analytics
- AI Visibility Software for Small Marketing Teams | Omnia: https://www.useomnia.com/
- AI Visibility Tracking | Omnia: https://www.useomnia.com/ai-visibility-tracking
- AI Search Monitoring Tools 2026: The Best Platforms to Track Mentions, Citations, and Visibility: https://www.useomnia.com/blog/ai-search-monitoring-tools
- Best Citation Analysis Options for Optimizing AI Search in 2026: https://www.useomnia.com/blog/best-citation-analysis-options-optimizing-ai-search
- AI Visibility Tools Compared: Omnia vs Alternatives: https://www.useomnia.com/compare
- Omnia vs. Rankscale AI: AI Visibility & SEO Analytics Compared: https://www.useomnia.com/compare/omnia-vs-rankscale-ai
- GEO Knowledge Base: AI Visibility Guides & Playbooks: https://www.useomnia.com/knowledge-base
- Omnia MCP - AI Visibility Data Inside Claude, ChatGPT, and: https://www.useomnia.com/omnia-mcp
- Omnia AI Visibility Tool - Pricing: https://www.useomnia.com/pricing
- Product Updates: https://www.useomnia.com/product-updates
- AI Visibility for In-House Marketers - Omnia: https://www.useomnia.com/solutions/in-house-marketers
- Official pricing and terms source: https://www.useomnia.com/terms-and-conditions
Additional AI research evidence75 records
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c28
- AI research evidence record anthropic:c1
- AI research evidence record google:cit_omnia_pricing
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c7
- AI research evidence record anthropic:c20
- AI research evidence record anthropic:c26
- AI research evidence record kimi:unverified-omnia
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c28
- AI research evidence record deepseek:c1
- AI research evidence record google:cit_omnia_agent
- AI research evidence record openai:c_docs
- AI research evidence record openai:c_mcp
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c28
- AI research evidence record grok:5
- AI research evidence record perplexity:c4
- AI research evidence record openai:c_mcp
- AI research evidence record anthropic:c20
- AI research evidence record perplexity:c6
- AI research evidence record google:cit_omnia_insights
- AI research evidence record anthropic:c2
- AI research evidence record openai:c_tracking
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- AI research evidence record anthropic:c4
- AI research evidence record perplexity:c8
- AI research evidence record grok:11
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:c10
- AI research evidence record anthropic:c39
- AI research evidence record kimi:unverified-omnia
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c28
- AI research evidence record openai:c_mcp
- AI research evidence record anthropic:c20
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:c31
- AI research evidence record google:cit_omnia_tracking
- AI research evidence record anthropic:c4
- AI research evidence record openai:c_docs
- AI research evidence record google:cit_llmpulse_alternatives
- AI research evidence record openai:c_kb
- AI research evidence record openai:c_pricing
- AI research evidence record grok:11
- AI research evidence record perplexity:c2
- AI research evidence record google:cit_omnia_pricing
- AI research evidence record anthropic:c10
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- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c4
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- AI research evidence record anthropic:c1
- AI research evidence record openai:c_compare
- AI research evidence record openai:c_docs
- AI research evidence record openai:c_mcp
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c39
- AI research evidence record openai:c_pricing
- AI research evidence record deepseek:c1
- AI research evidence record google:cit_cituna_alternatives
- AI research evidence record openai:c_compare
- AI research evidence record openai:c_compare
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:c39
- AI research evidence record google:cit_cituna_alternatives
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c28
- AI research evidence record perplexity:c4
- AI research evidence record kimi:unverified-omnia
- AI research evidence record deepseek:c1
Independent Sources
- Omnia: Details, Reviews, Pricing, & Features: https://checkthat.ai/brands/omnia
- Omnia Alternatives: Top AEO Competitors Compared: https://checkthat.ai/brands/omnia/alternatives
- Citation Gap Analysis: GEO Definition: https://sunilpratapsingh.com/glossary/citation-gap-analysis
- Madrid's Omnia secures €3.5M to boost brand visibility across ChatGPT, Perplexity, and Google AI — TFN: https://techfundingnews.com/omnia-ai-search-visibility-platform-funding/
- Omnia review 2026: what the offer promises, what the numbers show | Citeme: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHzTvgcZYxb1YabBo8byaCkdaNLylDWiQD5HO6fEDvFJzkJGmiF5H7dOTbJuAPnR3ieLX6uvm4QdIt4b9SYpFReXdNTg0Q9QAc9gdwSag3sfq4swCtDsKAz7s2qODL1ms07w6U=
- Best AI citation tracking tools for content leaders in 2026: https://www.airops.com/blog/ai-citation-tracking-tools
- Omnia Review 2026 - Score: 9.6/10 | AI Visibility Ranking: https://www.aivisibilityranking.com/platforms/omnia
- Best AI Visibility Tracking Tools 2026 - Independent Ranking & Comparison | AI Visibility Ranking: https://www.aivisibilityranking.com/tools/ai-visibility-tracking
- OmniSEO Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10037355/OmniSEO/
- Omnia Pricing 2026: https://www.g2.com/products/omnia-omnia/pricing
Additional AI research evidence75 records
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c28
- AI research evidence record anthropic:c1
- AI research evidence record google:cit_omnia_pricing
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c7
- AI research evidence record anthropic:c20
- AI research evidence record anthropic:c26
- AI research evidence record kimi:unverified-omnia
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c28
- AI research evidence record deepseek:c1
- AI research evidence record google:cit_omnia_agent
- AI research evidence record openai:c_docs
- AI research evidence record openai:c_mcp
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c28
- AI research evidence record grok:5
- AI research evidence record perplexity:c4
- AI research evidence record openai:c_mcp
- AI research evidence record anthropic:c20
- AI research evidence record perplexity:c6
- AI research evidence record google:cit_omnia_insights
- AI research evidence record anthropic:c2
- AI research evidence record openai:c_tracking
- AI research evidence record openai:c_pricing
- AI research evidence record anthropic:c4
- AI research evidence record perplexity:c8
- AI research evidence record grok:11
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:c10
- AI research evidence record anthropic:c39
- AI research evidence record kimi:unverified-omnia
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c28
- AI research evidence record openai:c_mcp
- AI research evidence record anthropic:c20
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:c31
- AI research evidence record google:cit_omnia_tracking
- AI research evidence record anthropic:c4
- AI research evidence record openai:c_docs
- AI research evidence record google:cit_llmpulse_alternatives
- AI research evidence record openai:c_kb
- AI research evidence record openai:c_pricing
- AI research evidence record grok:11
- AI research evidence record perplexity:c2
- AI research evidence record google:cit_omnia_pricing
- AI research evidence record anthropic:c10
- AI research evidence record anthropic:c39
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c39
- AI research evidence record anthropic:c1
- AI research evidence record openai:c_compare
- AI research evidence record openai:c_docs
- AI research evidence record openai:c_mcp
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c39
- AI research evidence record openai:c_pricing
- AI research evidence record deepseek:c1
- AI research evidence record google:cit_cituna_alternatives
- AI research evidence record openai:c_compare
- AI research evidence record openai:c_compare
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:c39
- AI research evidence record google:cit_cituna_alternatives
- AI research evidence record openai:c_tracking
- AI research evidence record anthropic:c28
- AI research evidence record perplexity:c4
- AI research evidence record kimi:unverified-omnia
- AI research evidence record deepseek:c1
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
- 39
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #8
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
13 independent · 26 company-owned
Evidence support
32 direct · 7 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 3d51e51d475fad7fa6e514c6dfcfa9a265c7de9a2d6a4c7116ca696e77ee3771