Answer Capsule
OmniSEO is a good fit for marketing teams that need prompt-level AI visibility, cited-URL discovery, competitor comparisons, platform comparisons, and historical monitoring across major answer engines. Two of the seven platforms in this study named OmniSEO during the ranking stage — DeepSeek (rank 1) and Kimi (rank 3) — giving it an average listed rank of 2.0 and a 28.6% share of included platform responses. The strongest reason to consider it is its purpose-built citation tracking across up to ten AI platforms with competitor benchmarking and prompt mapping. The main limitation is that its citation-architecture depth, URL deduplication, and methodology are not independently verified, and the entry Essentials plan covers only four AI channels.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (DeepSeek, Kimi) |
| Share of included platform responses | 28.6% |
| Average listed rank | 2.0 |
| Best listed rank | 1 (DeepSeek) |
| Relevant product/model/plan | AI Citation Tracker / OmniSEO AI Citation Tracker; OmniSEO AI Visibility Platform (Citation Analytics, Prompt Explorer, competitor tracking, platform-specific visibility trackers) |
| Overall use-case fit | Good (OpenAI, Anthropic, Perplexity); Strong (Google, Grok); Uncertain (DeepSeek, Kimi) |
| Research date | 2026-09-17 |
Why OmniSEO Qualified for This Study
Questions This Section Answers
- Is OmniSEO a good choice for AI Source Mapping Tools for a marketing team?
- How many AI platforms named OmniSEO during the ranking stage of this study?
OmniSEO qualified because it was named during ranking discovery by two of the seven platforms that evaluated fit, and because all seven platforms were able to assess it against the AI Source Mapping Tools criteria. DeepSeek listed it at rank 1 and Kimi at rank 3, producing an average listed rank of 2.0 (deepseek, kimi). That is a limited mention base: five of the seven platforms evaluated OmniSEO's fit without naming it in their ranking output, so the ranking signal here is thin and should not be read as broad platform endorsement.
The fit ratings were more mixed than the ranking counts suggest. Google and Grok rated OmniSEO a strong fit; OpenAI, Anthropic, and Perplexity rated it good; DeepSeek and Kimi rated it uncertain (openai, anthropic, google, grok, perplexity, deepseek, kimi). The uncertainty on DeepSeek and Kimi traces to verification gaps rather than identified product failures — Kimi's search returned no relevant results about the company at all, and DeepSeek's research pass ran without search enabled [1].
This review sits inside a broader comparison of AI Source Mapping Tools, where OmniSEO is one candidate among several evaluated against the same buyer criteria.
The Product, Model, Plan, or Service Most Relevant to AI Source Mapping Tools
Questions This Section Answers
- Which OmniSEO product or plan is most relevant for a marketing team buying AI Source Mapping Tools?
- Is OmniSEO's AI Citation Tracker a real, separately priced product or part of a larger platform?
The relevant offering is the OmniSEO AI Citation Tracker, which most platforms treated as part of the wider OmniSEO AI Visibility Platform rather than a standalone SKU. OpenAI described the relevant product as the OmniSEO AI Visibility Platform, specifically Citation Analytics, Prompt Explorer, competitor tracking, and platform-specific visibility trackers [3]. Anthropic, Google, Grok, Perplexity, and DeepSeek all named the AI Citation Tracker as the relevant product [4].
That naming split is a real conflict, not a rounding error. OpenAI stated directly that the requested product name "AI Citation Tracker" is not clearly presented as a separately priced SKU on the public website, and that the relevant offering appears to be part of the OmniSEO AI Visibility Platform [3]. DeepSeek reported that the product name could not be verified against official site content in its research pass [8]. Buyers should confirm with the vendor whether "AI Citation Tracker" is a distinct product, a landing-page label, or a feature bundle inside the platform.
The plan most platforms pointed to for this use case is Professional. Anthropic stated that the Essentials plan is insufficient for comprehensive cross-platform source mapping and that Professional is required for the full use case [9]. Grok recommended the Professional plan for full capabilities [10]. Google noted that data exports are not available on Essentials and require the Professional tier [11].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree OmniSEO does well for AI source mapping?
- Does OmniSEO cover enough AI platforms for cross-platform citation mapping?
The clearest agreement is on multi-platform coverage. OmniSEO states it tracks citations across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Microsoft Copilot, Claude, Meta AI, Grok, and DeepSeek [12]. Independent reviews repeat the same list [14]. This is a strong, multi-platform-supported finding, though it rests on vendor-published coverage lists that no platform independently audited.
Platforms also agreed that OmniSEO captures page-level citation context. OmniSEO states it stores which page was cited, the query that triggered the citation, ranking context, and competitor appearance in the same response [18]. Google reported that the tool maps both domain-level and URL-level citations to show which pages are referenced for specific prompts [19]. Grok reported page/URL-level tracking with source identification and health scores [15].
Competitor benchmarking drew agreement as well. OmniSEO states its competitive citation analysis lets buyers add competitor domains and track citation rates [21], and an independent review described five competitors included on every plan with share-of-voice tracking [22]. Prompt mapping and historical trend tracking were also consistently described across platforms [23].
One feature drew unusual cross-platform attention: AI Bot Analytics. Anthropic reported that OmniSEO shows which AI crawlers visit a site, described as something most rivals do not offer [27]. Google described the same server-log and bot-activity analysis [29]. This is a notable differentiator, but it is also the feature most directly contradicted by another source — see the disagreement section below.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do AI platforms disagree about whether OmniSEO provides AI crawler-log data?
- Is OmniSEO's citation tracking independently verified for accuracy and completeness?
The sharpest conflict concerns crawler logs. Anthropic and Google both reported that OmniSEO offers AI Bot Analytics showing which AI crawlers visit a site [30]. OpenAI reported the opposite: a third-party comparison alleges OmniSEO may lack crawler logs, automated content publishing, visitor-to-conversion analytics, and Reddit or YouTube citation tracking, and OpenAI flagged the scope and current status of those gaps as needing direct verification [32]. These two positions cannot both be fully correct as stated. Buyers should treat crawler-log capability as unconfirmed until the vendor demonstrates it live.
Verification depth is the second disagreement. Kimi found no independent source confirming OmniSEO's existence or product capabilities at all, and its search returned unrelated mapping tools instead [33]. DeepSeek ran without search enabled and reported that no independent benchmark or third-party review of the AI Citation Tracker was located in its pass [36]. By contrast, OpenAI, Anthropic, Google, Grok, and Perplexity all located vendor pages and third-party reviews. The disagreement here is about evidence availability, not about a demonstrated product defect.
Trial availability is a third conflict. OmniSEO's pricing page advertises a seven-day free trial with no credit card, covering ChatGPT and Google AI Overviews, followed by 50% off the first paid month [37]. Google reported that independent third-party testers in mid-2026 claimed there is no free trial and only a demo [31], and Anthropic reported no free tier or free trial with competitors offering free options [38]. Perplexity summarized the conflict directly: public sources disagree on whether a free trial exists [39]. The vendor page is the more current and specific source, but the conflict is unresolved.
A fourth uncertainty concerns DeepSeek coverage. OmniSEO lists DeepSeek among tracked platforms [41], but Anthropic noted an independent June 2026 analysis observing that most current AI citation tracking tools have limited or no DeepSeek coverage, leaving it unclear whether OmniSEO's DeepSeek tracking is production-grade [41]. A fifth concerns domain confusion: Anthropic reported that a comparison article referenced omniseo.ai as a parked placeholder with no product, while the official product at omniseo.com is active [42]. Buyers searching for the vendor should confirm they have reached the correct domain.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does OmniSEO provide domain-level and URL-level citation data for AI source mapping?
- Can OmniSEO map prompts to cited sources and show competitor citation share?
OmniSEO addresses most of the buyer's stated criteria, with one criterion only partially met. The table below summarizes each requirement against the supplied evidence.
| Buyer requirement | Assessment | Evidence |
|---|---|---|
| Domain-level and URL-level citation data | Advantage | Records brand mentions, source citations, and competitive references; maps which pages are cited by platform and query |
| Prompt mapping | Advantage | Prompt Explorer searches by domain, competitor, or topic; clusters by intent; reports Prompt Query Volume |
| Competitor analysis | Advantage | Competitor mentions, side-by-side visibility, competitor citations by prompt and engine |
| Platform differences | Advantage | Four channels on Essentials, ten on Professional, including Google AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Claude, Meta AI, Grok, DeepSeek |
| Historical trends | Advantage | Recurring prompt sweeps, visibility history, trend analysis for mentions and citations |
| Broader citation architecture | Neutral | Placement recommendations, source analysis, content-gap views; no verified formal source graph or causal influence model |
The citation-architecture gap deserves emphasis. OpenAI assessed this factor as neutral, finding that a formal source-graph, influence model, crawl-log layer, or independently validated explanation of causal citation architecture was not verified [43]. Anthropic reached a similar conclusion, noting that an independent source identifies leading citation tools as requiring URL-level capture, domain aggregation, deduplication, canonicalization, and time-series data, and that specialized citation-first platforms may offer deeper URL-level and entity-level mapping than OmniSEO [45]. OmniSEO states it correlates citation data with content depth, format, topic focus, and recency [47], which supports pattern analysis but is not the same as a documented citation-architecture graph.
The measurement model is also a limitation rather than a feature. OpenAI found that OmniSEO describes recurring execution of curated prompt libraries and capture of full response outputs, mentions, citations, and competitive references — a sampled monitoring system that does not establish representation of every real user answer [43]. Citation definitions, deduplication rules, sampling methodology, geographic controls, and reproducibility are not fully documented publicly [48].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does OmniSEO cost per month, and which plan does a buyer need for full AI source mapping?
- Are there setup, overage, or cancellation fees with OmniSEO?
Public pricing is comparatively specific and consistent across sources. OmniSEO lists Essentials at $89 per month or $890 per year, Professional at $349 per month or $3,490 per year, and Enterprise at $899+ per month with custom term and volume [49]. Annual billing saves two months [51]. The first paid month is discounted 50% on non-Enterprise plans — $45 on Essentials and $175 on Professional [54].
Plan limits differ materially and drive the buying decision:
| Plan | Price | AI channels | Saved prompts/month | Competitors | Seats |
|---|---|---|---|---|---|
| Essentials | $89/mo or $890/yr | 4 | 50 | 5 | 5 |
| Professional | $349/mo or $3,490/yr | 10 | 100 | 5 | 10 |
| Enterprise | $899+/mo, custom | 10+ | 500+ | Custom | Unlimited |
Sources: [49].
Several cost questions remain unresolved. OpenAI reported that the public pricing page does not clearly state overage pricing, API fees, data-export fees, or charges for additional brands or service lines, and that Enterprise may involve custom pricing plus optional dedicated GEO-specialist services at unclear cost [49]. Google reported that done-for-you GEO and AEO agency retainers run separately through parent agency WebFX [56], and Grok cited independent reports of managed GEO/AEO services from roughly $3,000 per month [57]. Perplexity reported that higher-tier access may be required for exports, broader channel coverage, and advanced reporting [58].
Contract terms are only partly public. The site states plans can be upgraded or downgraded with changes taking effect at the next billing cycle [49]. Anthropic reported no long-term commitment required and month-to-month billing available [59]. OpenAI reported that the public page does not clearly state minimum contract duration, refund policy, cancellation notice requirements, or annual-plan cancellation treatment, and that Enterprise terms, service levels, and custom-volume commitments require verification [49]. Perplexity reached the same conclusion [60].
One pricing conflict should be flagged. Grok reported that some third-party sites list discounted annual prices, such as $37 per month for Essentials, that do not match the official site, and that official pricing was confirmed via direct pages [51]. Buyers should treat the official pricing page as authoritative and verify any third-party price before relying on it.
Best Suited For
Questions This Section Answers
- Who gets the most value from OmniSEO for AI source mapping?
- Is OmniSEO a good fit for an agency managing multiple brands across AI platforms?
OmniSEO is best suited to mid-market marketing and SEO teams that need prompt-level AI visibility, cited-URL discovery, competitor comparisons, and historical monitoring across major answer engines. OpenAI described the best fit as marketing and SEO teams monitoring brand and URL citations across ChatGPT, Google AI Overviews or AI Mode, Perplexity, Gemini, Copilot, Claude, Meta AI, Grok, and DeepSeek, and teams needing prompt mapping, competitor citation comparisons, prompt-volume prioritization, and historical visibility trends [61].
Anthropic described a similar profile: mid-market teams tracking brand visibility across ten or more AI platforms, brands seeking multi-platform citation tracking with competitor benchmarking and share-of-voice analysis, and organizations wanting AI Bot Analytics alongside citation tracking [62]. Google emphasized teams tracking exact cited domains and URLs to identify content performance gaps [64].
Agencies managing multiple brands are a plausible fit given the hybrid software-plus-managed-services model, but Anthropic cautioned that the agency-oriented positioning may introduce pressure toward managed-services upsell at the Enterprise tier [65]. Teams that want a managed SaaS workflow rather than manual sampling of AI answers are also a stated fit [61].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose OmniSEO for AI source mapping?
- Is OmniSEO a poor fit for buyers who need independently audited citation accuracy?
Buyers requiring independently audited citation accuracy or a comprehensive causal model of how sources influence recommendations should look elsewhere. OpenAI listed this group explicitly as probably not best for OmniSEO, along with teams needing AI crawler-log data, direct AI-referral attribution, automated content publishing, or broad Reddit and YouTube citation coverage, none of which were verified [66].
Startups on minimal budgets are a poor fit. Anthropic reported that the entry Essentials plan at $89 per month restricts coverage to four AI channels and 50 prompts per month, which is insufficient for comprehensive cross-platform source mapping, and that full ten-platform coverage requires the $349 per month Professional plan [68]. Google reported that no data exports are allowed under Essentials, requiring the jump to Professional for CSV or PDF files [71].
Teams needing deep semantic source verification are also a poor fit. Google reported that OmniSEO tracks external brand visibility and keyword prominence but does not check whether a cited source passage semantically supports a specific factual assertion [72]. Buyers needing enterprise contract terms, SLAs, or compliance documentation disclosed up front were flagged by DeepSeek as probably not best for OmniSEO [73]. Teams requiring extensive historical trend analysis or long-term citation architecture visualization were flagged by Anthropic [74].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to OmniSEO for a buyer who needs the lowest-cost entry point?
- When should a buyer choose a citation-first specialist over OmniSEO?
Several platforms named conditions under which a different tool would serve the buyer better. For lowest-cost entry, Anthropic reported that OtterlyAI and other competitors offer free trials covering more platforms than OmniSEO's ChatGPT and Google AI Overviews-only trial [75]. For pure self-serve SaaS without agency-services proximity, Anthropic noted that OmniSEO's WebFX connection introduces managed-services offerings [76].
For the deepest URL-level and entity-level citation architecture analysis, Anthropic recommended specialized citation-first platforms like Omnia, explicitly designed for URL deduplication, canonicalization, and time-series citation mapping [77]. For extensive historical citation data spanning months or years, Anthropic noted that OmniSEO's positioning emphasizes real-time scoring and trend analysis, while independent reviews note limitations in historical depth compared to backlink tools [79]. For integrated traditional SEO plus AI citation tracking, Anthropic suggested bundled solutions like Semrush AI Toolkit may offer lower per-user cost and cross-domain SEO continuity [79].
For localized prompt tracking by country, Anthropic reported that Omnia explicitly offers localized tracking without surcharges, while OmniSEO's localization approach is not clearly documented [77]. OpenAI suggested choosing a tool with documented crawler-log or bot-access data when the buyer's primary question is whether AI systems crawl or retrieve its site, a platform with direct analytics or CRM integrations when the buyer needs to connect AI visibility to visits, leads, pipeline, or revenue, and a solution with independently documented methodology when citation reproducibility and auditability matter more than convenience [80].
Grok listed three conditions for choosing another option: needing more than five competitors tracked, a budget strictly under $350 per month for full features, and API-heavy custom integrations beyond Enterprise [81]. Google noted that research or editorial teams needing to semantically verify whether a cited source supports a specific factual claim should use a different class of tool [82].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with OmniSEO before signing a contract?
- Does OmniSEO retain every cited URL, or only normalized domains?
The platforms supplied overlapping verification lists. The highest-priority items concern data granularity and methodology. OpenAI recommended confirming whether the product retains every cited URL or only normalized domains, and how redirects, syndicated copies, duplicate URLs, and cited snippets are handled [83]. Anthropic asked whether OmniSEO performs URL canonicalization, entity resolution, and citation deduplication at the source level, or returns raw citation lists [84]. Perplexity recommended confirming whether the AI Citation Tracker provides both domain-level and URL-level citation exports [86].
On measurement, OpenAI recommended confirming what exactly counts as a citation, mention, placement, competitor appearance, and visibility score; how many prompt runs occur per saved prompt and on what schedule; whether the buyer can control location, language, model, personalization, and logged-out state; and whether platforms are measured with comparable sampling and output-capture methods [83]. Anthropic asked how OmniSEO handles answer volatility and whether it distinguishes signal from noise [87].
On data access and retention, OpenAI recommended confirming whether raw responses, cited URLs, timestamps, prompt text, engine, model, region, and historical observations can be exported, and whether OmniSEO provides crawler logs, AI bot access data, referral attribution, or conversion integrations [83]. Anthropic asked about the historical data retention period and how far back citation patterns can be analyzed [87]. Grok recommended confirming exact URL-level citation export formats and historical data retention [88].
On commercial terms, OpenAI recommended confirming annual cancellation, refund, overage, additional-brand, additional-seat, API, export, and Enterprise-support terms [83]. Perplexity recommended confirming contract length, cancellation, and refund terms, and whether a free trial, pilot, demo-only process, or first-month promotion is available today [89]. Google asked whether the seven-day self-serve trial is currently active without entering credit card details, and whether the five-competitor limit can be increased on Professional through a custom add-on [91].
On platform coverage, Anthropic recommended confirming whether the Essentials plan allows ad-hoc upgrades beyond the stated four channels or whether the limit is hard, whether DeepSeek tracking is stable and production-ready, and whether localized or country-specific prompt tracking is offered [92]. Kimi recommended verifying that the company exists, that the AI Citation Tracker is a real shipping product, and requesting a live demonstration of domain-level and URL-level citation extraction [94].
Final AI Consensus Verdict
OmniSEO is a good fit for a marketing team seeking a practical, multi-platform AI source-mapping and visibility workflow, with the caveat that it should be treated as sampled AI-answer intelligence rather than a proven complete citation architecture or revenue-attribution system [95]. Five of seven platforms rated it good or strong; two rated it uncertain because they could not verify the product from available sources [96].
The strongest supported case is prompt-to-citation mapping, competitor benchmarking, platform comparison, and historical monitoring across up to ten AI platforms [95]. The Professional plan at $349 per month is the tier most platforms identified as necessary for the full use case [100].
The unresolved items are citation-architecture depth, URL deduplication and canonicalization, crawler-log availability, methodology transparency, and Enterprise terms [95]. Buyers should validate raw-data access, methodology, and Enterprise terms before purchase, and should confirm the free-trial conflict directly with the vendor [106].
How This Review Was Produced
This review was produced from a structured fit-research run dated 2026-09-17, in which seven AI platforms evaluated OmniSEO against the AI Source Mapping Tools use case. Each platform returned a fit rating, use-case findings by factor, pricing and terms, limitations, and questions to verify before buying. Two of the seven platforms named OmniSEO during ranking discovery; all seven evaluated fit.
The buyer criteria were domain-level and URL-level citation data, prompt mapping, competitor analysis, platform differences, historical trends, and a way to understand how sources fit into the broader citation architecture. Platform fit ratings were: Google and Grok strong; OpenAI, Anthropic, and Perplexity good; DeepSeek and Kimi uncertain.
Company-owned sources include OmniSEO's pricing, solutions, features, and citation-tracker pages. Independent sources include review platforms and directories such as G2, Capterra, Dupple, Hackceleration, BestAEOTools, Max-Productive, SEO.com, Toolsolved, CitedIndex, and Atlas. No platform performed hands-on testing of the product, and no platform independently audited OmniSEO's citation data.
Methodology Limitations
Several limitations apply. First, platform-reported research dates differ from the authoritative run date: DeepSeek's research pass is dated 2026-02-14, while the remaining platforms and the run itself are dated 2026-09-17 [107]. Platform-reported dates are provenance metadata and do not independently prove freshness.
Second, platform mentions count only platforms that named OmniSEO during ranking discovery. Five of seven platforms evaluated fit without naming it, so the ranking signal is limited and should not be read as broad endorsement.
Third, citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Where a platform supplied no citation for a factual claim, that claim is labeled platform-reported or unverified.
Fourth, DeepSeek's research pass ran without search enabled, so its findings reflect model knowledge rather than retrieved evidence [107]. Kimi's search returned no relevant results about the company, so its uncertainty reflects evidence unavailability rather than a demonstrated product defect [108].
Fifth, conflicting product names, pricing, and capabilities were not resolved by guessing. The AI Citation Tracker naming conflict, the crawler-log conflict, the free-trial conflict, and the third-party discounted-price conflict are all described as unresolved and flagged for buyer verification.
Sixth, no platform performed hands-on testing, and no independent technical audit of OmniSEO's citation accuracy, coverage completeness, or ROI was located. Agreement among AI platforms does not prove product quality.
Explore more ai citation authority building guidance in the category directory.
Sources
Company-Owned Sources
- OmniSEO: https://omniseo.com/
- AI Visibility Score Explained: https://omniseo.com/blog/ai-visibility-score
- Features — OmniSEO AI Visibility Platform: https://omniseo.com/features/
- AI Citation Tracker for ChatGPT, Perplexity & Gemini | OmniSEO: https://omniseo.com/lp/ai-citation-tracker/
- OmniSEO Pricing | Start Improving Your AI Visibility Today: https://omniseo.com/pricing/
- AI Tracking Solutions - Monitor Your Brand Across AI Platforms: https://omniseo.com/solutions/
- AI Citation Tracker | AI Content Citation Tracking Tool | OmniSEO: https://omniseo.com/solutions/ai-citation-tracker/
- ChatGPT Brand Visibility Tracker | OmniSEO: https://omniseo.com/solutions/chatgpt-tracker/
- Prompt Research | Find the AI Prompts to Target: https://omniseo.com/solutions/prompt-research/
- MyMap — The AI canvas for visual thinking | MyMap: https://www.mymap.ai/?df=ai_if
- MapAI: AI-Powered Process Mapping in Minutes: https://www.primebpm.com/mapai
- Prodmap - Pricing: https://www.prodmap.ai/pricing/
- Best Citation Analysis Options for Optimizing AI Search in 2026: https://www.useomnia.com/blog/best-citation-analysis-options-optimizing-ai-search
- Official pricing and terms source: https://omniseo.com/privacy-terms/
Additional AI research evidence108 records
- AI research evidence record kimi:no-source-found
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-2
- AI research evidence record google:1.1.3
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:31-4
- AI research evidence record grok:2
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:4-17
- AI research evidence record anthropic:5-5
- AI research evidence record anthropic:31-17
- AI research evidence record grok:3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:33-3
- AI research evidence record anthropic:42-1
- AI research evidence record google:1.2.3
- AI research evidence record grok:5
- AI research evidence record anthropic:30-4
- AI research evidence record anthropic:31-3
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:10-4
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:40-7
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:33-6
- AI research evidence record google:2.1.7
- AI research evidence record openai:c5
- AI research evidence record kimi:no-source-found
- AI research evidence record kimi:rfp-wiki-sourcemap
- AI research evidence record kimi:ai-scanner-sourcemap
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:31-6
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:4-17
- AI research evidence record anthropic:3-1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:30-7
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-1
- AI research evidence record grok:2
- AI research evidence record perplexity:c2
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:29-18
- AI research evidence record google:2.1.7
- AI research evidence record grok:4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:2-2
- AI research evidence record perplexity:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:31-3
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:31-4
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:29-18
- AI research evidence record google:2.1.7
- AI research evidence record google:1.2.4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:1-2
- AI research evidence record openai:c1
- AI research evidence record grok:2
- AI research evidence record google:1.2.4
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:39-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:1-2
- AI research evidence record grok:2
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:4-17
- AI research evidence record anthropic:31-4
- AI research evidence record kimi:no-source-found
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:no-source-found
- AI research evidence record anthropic:4-17
- AI research evidence record grok:3
- AI research evidence record anthropic:31-4
- AI research evidence record grok:2
- AI research evidence record google:2.1.7
- AI research evidence record openai:c5
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:39-1
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c1
- AI research evidence record kimi:no-source-found
Independent Sources
- Sourcemap AI Review 2026: Features, Pricing & Alternatives | AI Scanner: https://ai-scanner.com/platforms/sourcemap-ai
- AI Citation Tracking Tools for Source Verification: https://atlas.co/blog/ai-citation-tracking
- AI Mention Tracking Tool Omniseo Review 2026: https://bestaeotools.com/tool/ai-mention-tracking-tool-omniseo
- OmniSEO: AI crawlers, llms.txt and AI Overviews - Cited·Index: https://citedindex.com/omniseo
- OmniSEO Review 2026: Features, Pricing & Alternatives: https://dupple.com/reviews/omniseo
- OmniSEO Review 2026: Features, Pricing & Alternatives: https://dupple.com/tools/omniseo
- OmniSEO Review 2026: Honest Verdict, Pricing & Pros/Cons: https://hackceleration.com/labs/review/omniseo
- OmniSEO Review 2026: Pricing, Pros, Cons & Verdict: https://hackceleration.com/omniseo-review
- OmniSEO Review 2026: AI Visibility Tool Worth It?: https://max-productive.ai/ai-tools/omniseo/
- OmniSEO: AI search visibility optimization with tiered pricing: https://toolsolved.com/omniseo
- ProductMap AI - AI Maps for Faster Codebase Comprehension - Aitoolnet: https://www.aitoolnet.com/productmap-ai
- OmniSEO Price, Features, Reviews & Ratings: https://www.capterra.com/p/10008518/OmniSEO/
- OmniSEO Software Pricing, Alternatives & More 2026: https://www.capterra.com/p/10037355/OmniSEO/
- OmniSEO | AI SEO Tools Directory listing: https://www.g2.com/
- OmniSEO Reviews 2026: Details, Pricing, & Features: https://www.g2.com/products/omniseo/reviews
- Sourcemap · What Buyers Need to Know (2026: https://www.rfp.wiki/supply-chain-logistics-transportation/supply-chain-planning-solutions/supply-chain-mapping-tools/sourcemap
- I Rated the 11 Best AI Visibility Tools on the Market: https://www.seo.com/ai/best-ai-visibility-tools/
Additional AI research evidence108 records
- AI research evidence record kimi:no-source-found
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-2
- AI research evidence record google:1.1.3
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:31-4
- AI research evidence record grok:2
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:4-17
- AI research evidence record anthropic:5-5
- AI research evidence record anthropic:31-17
- AI research evidence record grok:3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:33-3
- AI research evidence record anthropic:42-1
- AI research evidence record google:1.2.3
- AI research evidence record grok:5
- AI research evidence record anthropic:30-4
- AI research evidence record anthropic:31-3
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:10-4
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:40-7
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:33-6
- AI research evidence record google:2.1.7
- AI research evidence record openai:c5
- AI research evidence record kimi:no-source-found
- AI research evidence record kimi:rfp-wiki-sourcemap
- AI research evidence record kimi:ai-scanner-sourcemap
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:31-6
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:4-17
- AI research evidence record anthropic:3-1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:30-7
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-1
- AI research evidence record grok:2
- AI research evidence record perplexity:c2
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:29-18
- AI research evidence record google:2.1.7
- AI research evidence record grok:4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:2-2
- AI research evidence record perplexity:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:31-3
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:31-4
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:29-18
- AI research evidence record google:2.1.7
- AI research evidence record google:1.2.4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:1-2
- AI research evidence record openai:c1
- AI research evidence record grok:2
- AI research evidence record google:1.2.4
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:39-1
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:1-2
- AI research evidence record grok:2
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:4-17
- AI research evidence record anthropic:31-4
- AI research evidence record kimi:no-source-found
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:no-source-found
- AI research evidence record anthropic:4-17
- AI research evidence record grok:3
- AI research evidence record anthropic:31-4
- AI research evidence record grok:2
- AI research evidence record google:2.1.7
- AI research evidence record openai:c5
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:39-1
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c1
- AI research evidence record kimi:no-source-found
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 17, 2026
- Platforms analyzed
- 7
- Source records
- 31
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #7
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
17 independent · 14 company-owned
Evidence support
8 direct · 8 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 f246bf9a8a64d7e6ffc32e0af9f224bbc48c7b87c9e07bcb175dafc09e39a620