Answer Capsule
Cited is a good, but not fully proven, fit for AI Content Optimization Platforms With Citation Intelligence. Two of the seven platforms in this study named Cited during the ranking stage — Anthropic (rank 4) and Kimi (rank 1) — giving it an average listed rank of 2.5 and a best rank of 1. Its strongest reason to consider it is an evidence-first workflow that stores AI answers verbatim with their citations, then diagnoses gaps, drafts fixes, and re-measures visibility [1]. The main limitation is that public pricing and plan limits conflict across Cited's own pages, most evidence is company-owned, and independent validation of outcomes is limited [3].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, kimi) |
| Share of included platform responses | 28.6% |
| Average listed rank | 2.5 |
| Best listed rank | 1 (kimi) |
| Relevant product/model/plan | Cited Full GEO Platform (Evidence-First Approach); Cited GEO Platform |
| Overall use-case fit | Good — strong citation-evidence workflow, unproven outcomes and inconsistent public pricing |
| Research date | 2026-09-19 |
Why Cited Qualified for This Study
Questions This Section Answers
- Why did Cited qualify for this AI content optimization platforms with citation intelligence study?
- Is Cited a good choice for a company that needs citation intelligence and source analysis?
Cited qualified because its stated product positioning maps directly onto the study's citation-intelligence criteria, and because two platforms independently surfaced it during ranking discovery. Cited describes itself as an evidence-first GEO/AEO platform that audits how AI engines answer buyers' real questions and shows why competitors get recommended, with verbatim answers behind every score [5]. It states that each audit stores AI answers verbatim along with the citations the engine used, so buyers can inspect whether sources are owned pages, review sites, Reddit, competitor pages, or other URLs [7].
That evidence-first framing is the reason it cleared the study's inclusion bar rather than a general SEO feature set. The platform also claims coverage of the specific capability cluster the study asked about: citation inspection, competitor research, content-gap diagnosis, optimization recommendations, and re-measurement [7]. Kimi's assessment described the approach as forensic — scores that trace back to stored engine answers rather than cached synthetic scores [9].
Qualification is not the same as proof. Most of the supporting material is company-owned, and the study's independent sources do not validate Cited's accuracy, coverage, or business impact [10]. Cited also appears in its own comparison and ranking pages, where it places itself first — a company-owned claim rather than independent evidence [12].
The Product, Model, Plan, or Service Most Relevant to AI Content Optimization Platforms With Citation Intelligence
Questions This Section Answers
- Which Cited plan should a buyer choose if they need citation intelligence for ChatGPT and Perplexity only?
- Does Cited's Pro plan include competitor tracking and drafted content fixes for AI search optimization?
The relevant offering is the Cited GEO Platform, sold as a self-serve tiered product with a sales-led Enterprise tier. Platforms named it as the "Cited Full GEO Platform (Evidence-First Approach)" and the "Cited GEO Platform" [13]. The published self-serve structure centers on Starter, Pro, and Agency Pro, with Enterprise scoped by sales [13].
Pro is the tier most platforms treated as the practical entry point for this use case. The pricing page lists Pro at $375 per month plus taxes, or $3,750 annually plus taxes, with annual billing advertised as roughly two months free [13]. Google's assessment described Pro as including three seats, 15 prompts per audit, six audits per month, ChatGPT and Perplexity deep tracking, 10 drafted assets per month, a Cannibalization Guard, and threat alerts [16].
Starter is the low-cost tier, but its terms are the least consistent across Cited's own pages. The current pricing page lists Starter at $0 with two lifetime audits and limited ChatGPT and Perplexity tracking, while a separate Cited documentation page lists Starter at $95 per month with different quotas [13]. Anthropic and Google both reported a $95/month Starter tier for solo consultants [14]. Buyers should treat the Starter definition as unresolved until Cited confirms which page governs.
Enterprise is described as extending coverage to 10 or more engines, including Claude, Gemini, Google AI Overviews, Google AI Mode, Grok, GLM, and others on request, with custom projects, seats, prompt depth, markets, languages, onboarding, brand voice, MCP access, dedicated support, and invoice billing [13]. Enterprise pricing is not publicly listed [14].
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree Cited does well for citation intelligence and content-gap identification?
- Is Cited's evidence-first approach to storing AI answers and citations consistently described across platforms?
The clearest cross-platform agreement is that Cited's core differentiator is stored, verbatim citation evidence rather than aggregate visibility scores. OpenAI, Anthropic, Perplexity, Kimi, and Google all described some version of this in their assessments [20]. Cited states that every claim opens to the stored answer and its citations [25].
A second area of agreement is the closed-loop workflow: monitor, diagnose, draft a fix, and re-measure. OpenAI described a workflow that identifies lost buyer-intent answers, diagnoses gaps using cited evidence, and produces content ideas, briefs, FAQs, comparison pages, and drafts [26]. Anthropic described Cited as prescribing ready-to-publish content plus the citations, reviews, and digital PR placements engines trust [28]. Kimi described diagnosis, drafting, earned-media lists, and re-measurement as a closed loop that monitoring-only tools leave open [23].
A third agreement concerns competitor and gap diagnosis. Cited says it reads every AI answer and explains why brands are skipped — content gap, off-site venue, or technical [30]. Kimi characterized this as platform-by-platform gap analysis showing which prompts competitors own and why [23]. Google described the platform as identifying the physical digital assets driving a competitor's citations [31].
Platforms also agreed on the limits. Anthropic and Kimi both noted that no tool can guarantee AI citations [32]. Cited itself states that no AI engine reports impressions or click-through rates and that tools showing "AI impressions" are modelling, not measuring [33].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about Cited's pricing and plan limits for AI content optimization?
- Is Cited's fit rating strong or uncertain for a US buyer needing citation intelligence?
Fit ratings diverged. Anthropic, Google, and Grok rated Cited a strong fit; OpenAI, Perplexity, and Kimi rated it good; DeepSeek rated it uncertain [34]. DeepSeek's assessment ran without search enabled and reported that no public pricing, plan tiers, or fee schedule could be verified, and that independent third-party coverage was not located [40].
Pricing is the sharpest documented conflict. Cited's current pricing page lists Starter as free with two lifetime audits, while its documentation page lists Starter at $95 per month with different quotas [42]. The pricing page lists Pro as six audits per month with 15 prompts per audit, while the documentation page lists Pro as 10 audits per month with 30 prompts per audit [42]. Perplexity reported additional conflicting figures on other Cited pages, including ₹7,999/mo or $109 entry pricing, and could not determine whether those pages represent different geographies, legacy pages, or separate products [44].
Agency Pro pricing is also inconsistent. Google reported Agency Pro at $799/month for four client projects as of late 2026, previously reported at $599/month for three client projects in early 2026 [46]. Cited's own pricing page describes Agency Pro as four client projects with 24 pooled audits and 30 assets a month, scoped on a call (official:C2).
Entity identity is a separate uncertainty. Multiple similarly named properties exist, including getcited.in and usecited.ai, and Kimi reported that the relationship between Cited (citedintel.com), Cited (getcited.in), and Clear Cited (clearcited.com) is unclear [36]. Buyers should confirm they are contracting with citedintel.com.
Engine coverage is a third uncertainty. Standard Starter and Pro coverage is limited mainly to ChatGPT and Perplexity, while major Google surfaces are described as Enterprise or on-request [42]. The exact availability, latency, regional behavior, and data-retention policies for each supported engine are unclear [43].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Cited identify content gaps and draft fixes for AI citation shortfalls?
- Can Cited detect and correct AI misstatements about a brand's pricing or features?
Citation intelligence and source analysis are the platform's stated center. Cited says each audit stores AI answers verbatim with the citations the engine used, letting buyers inspect whether sources are owned pages, review sites, Reddit, competitor pages, or other URLs [49]. It fires buyer-intent prompts at ChatGPT, Claude, and Perplexity on a fixed schedule and records full answers [50].
Competitive research is included on Pro. The published Pro plan covers tracking for up to three competitors, competitive pulse monitoring, threat alerts, share-of-voice trend tracking, and an action center; Enterprise is described as supporting custom coverage and up to 20 competitors [51]. Cited says it benchmarks the whole category and flags threats the week they happen [52].
Content-gap identification and optimization recommendations follow the same evidence chain. Cited describes identifying lost buyer-intent answers, diagnosing gaps from cited evidence, and producing content ideas, briefs, FAQs, comparison pages, and drafts, with Pro including up to 10 AI-drafted assets per month [51]. Cited states that the pages most likely to move GEO are comparison, pricing, integration, security, and use-case pages [54].
Technical AI-readiness checks are published as part of the platform. Cited lists AI Search Readiness checks for crawler blocks, llms.txt, structured data, and generated llms.txt and JSON-LD fixes on Pro [51]. Google described technical GEO checks covering crawler access, llms.txt blocks, and structured JSON-LD data with automatically generated fixes [55]. The public material does not verify the quality, implementation method, or validation depth of those fixes [53].
Content cannibalization controls are a stated safeguard. Cited says its cannibalization guard checks proposed content against the live sitemap, existing page content, pages already cited, and earlier drafts before generating or approving an asset [51].
Hallucination correction is a distinct capability. Cited describes a correction loop: publish the canonical answer on pricing, capabilities, and comparisons where engines retrieve it, then re-run the same buyer prompts until the misstatement disappears, storing answers verbatim with citations and confirming on newer audits that engines dropped the claim [57].
Re-measurement and monitoring close the loop. Pro includes recurring share-of-voice trend tracking, competitive pulse, threat alerts, and stored audit history; Enterprise adds scheduled weekly, every-15-days, or monthly re-audits [51]. Cited's pricing page states that automated re-check cadence is an Enterprise and Agency capability, while Starter and Pro run audits on demand (official:C2).
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Cited cost per month, and are there setup or cancellation fees?
- What should a buyer confirm about Cited's conflicting Starter and Pro plan limits before paying?
Published self-serve pricing is $0 for Starter on the current pricing page, $375 per month plus taxes for Pro (or $3,750 annually plus taxes), and custom Enterprise pricing [59]. Annual Pro billing is advertised as approximately two months free compared with monthly billing [59]. Taxes apply to the published Pro price, and India-billing customers see 18% GST added at checkout [59].
A separate Cited documentation page presents a conflicting table showing Free, Starter at $95 per month, Pro at $375 per month, Agency Pro at $799 per month, and Enterprise as custom [61]. Anthropic and Google both reported the $95 Starter and $799 Agency Pro figures [62]. Pricing confidence is low to moderate across platforms, and the authoritative schedule requires confirmation before purchase [61].
Contract and cancellation terms are comparatively clear for self-serve. The pricing page states cancellation or downgrade can occur at any time, with access continuing through the end of the billing period, and no refunds for unused time [59]. Cited's terms state that subscriptions automatically renew unless canceled before the renewal date, that all payments are non-refundable except where required by law, and that a failed payment triggers a 3-day grace period before reverting to free-tier limits (official:C3). Downgrading does not delete data: projects beyond the new limit go read-only and reactivate on upgrade [59].
Additional costs are partly opaque. Enterprise additions such as expanded engines, markets, languages, prompt volume, seats, integrations, and support are custom-scoped with unclear incremental fees [59]. Unused monthly asset allowances do not roll over [59]. Enterprise contract length, renewal, service levels, implementation obligations, and termination rights are unclear [59].
Best Suited For
Questions This Section Answers
- Is Cited best suited for mid-market B2B teams running ongoing GEO or AEO programs?
- Which buyer situation makes Cited's evidence-first citation workflow worth the Pro price?
Cited is best suited to brands and agencies running ongoing GEO or AEO programs around buyer-intent prompts [64]. The platform is built for teams that want citation evidence attached to each AI answer rather than only aggregate visibility scores [64].
It also fits content teams that need competitor gaps, technical AI-readiness checks, drafted briefs or pages, and post-change re-measurement in one workflow [66]. Anthropic described Cited as the tighter operator's choice when teams need the platform to draft the fix, and as stronger for product marketing managers, demand gen leads, and founders who need work to move from diagnosis to shipping [68].
Mid-market B2B SaaS companies are the most frequently named fit. Anthropic's assessment centered on mid-market B2B SaaS product marketing, growth, and content teams [70]. Google's assessment named B2B SaaS and mid-market brands running structured GEO visibility programs, plus agencies reporting cross-engine AI share of voice [71].
Organizations comfortable starting with ChatGPT and Perplexity and then negotiating broader engine and market coverage are also a fit, since standard self-serve coverage is limited to those two engines [66].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Cited for AI content optimization with citation intelligence?
- Is Cited a poor fit for buyers who need independently audited performance outcomes?
Buyers requiring independently audited performance outcomes or extensive third-party validation are not well served [73]. The public materials do not establish independent validation of citation precision, content performance, revenue impact, or causal improvement in AI recommendations [75].
Teams needing guaranteed Google AI Overviews, Google AI Mode, multilingual, or multi-market coverage in a standard self-serve plan should look elsewhere or plan for Enterprise [76]. Standard Starter and Pro coverage is limited mainly to ChatGPT and Perplexity [76].
Organizations seeking a mature enterprise procurement package with publicly documented integrations, compliance controls, or service-level commitments will find gaps [75]. Enterprise pricing, integrations, compliance documentation, service levels, and implementation scope are not public or sufficiently specific [75].
Teams that only want to monitor citations without acting on them are also a poor fit, since the platform is built for active workflow changes and acts as an expensive monitoring tool if fixes are never published [80]. Startups under $1M ARR with no content capacity were flagged as a poor fit for comparable execution-oriented platforms [82].
Buyers requiring guaranteed AI citations should not choose any platform on this basis; no tool can guarantee AI citations [83].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Cited for a buyer who needs enterprise depth with a sales-assisted rollout?
- When is Semrush or Ahrefs a better choice than Cited for citation tracking?
Profound is the named alternative when enterprise depth and full reporting through a sales-assisted rollout is preferred; Profound's persona depth and full reporting arrive through a sales process and an enterprise contract, while Cited delivers comparable depth self-serve [84]. Profound's $99/month entry tier was described as a fit when the primary need is multi-LLM citation monitoring and the team already has in-house content strategists who can write optimization playbooks without platform guidance [86].
Semrush is the safe choice when the team already lives inside a broader SEO suite and wants to add AI-related coverage without changing platforms; Semrush folds AI visibility into its wider SEO platform as a per-domain add-on [88]. Ahrefs Brand Radar is better for existing Ahrefs users and SEO strategy professionals who want citation tracking alongside traditional backlink and AI visibility analysis, and the AI toolkit is an add-on requiring a base Ahrefs subscription [90].
VisibilityStack fits mid-market B2B brands ($5M–$100M ARR) needing to close citation gaps quickly, but is overkill for teams that only want to monitor citations without acting on them, or for startups under $1M ARR with no content capacity [93].
Citingly was named as an alternative when end-to-end workflow integration is paramount, offering audit, draft, publish, and track in one platform with transparent USD tiers and a Starter tier at $49/mo [95]. Buyers needing a broader enterprise intelligence platform for large-scale panel data or extensive engine coverage, or a lower-cost monitoring tracker for visibility snapshots only, should also compare alternatives [96].
Questions to Verify Before Buying
Which pricing page and quota schedule governs the proposed contract — the $0 Starter page or the $95 Starter documentation page [97]?
Are Google AI Overviews and Google AI Mode included in the chosen plan, or available only on request at additional cost [97]?
Which exact engines, models, regions, languages, and web-search modes will be monitored for the buyer's use case [98]?
How are citations normalized, deduplicated, classified, and scored across engines [98]?
Can the buyer export verbatim answers, citation URLs, competitor comparisons, prompt history, and audit data [98]?
What evidence demonstrates that recommendations improve citation inclusion or recommendation frequency [98]?
Are drafted assets reviewed for factual accuracy, brand compliance, originality, and content cannibalization before publication [97]?
What integrations, APIs, MCP access, SSO, role permissions, security controls, and data-retention terms are included [98]?
What are the enterprise minimum commitment, renewal, cancellation, refund, SLA, onboarding, and support terms [97]?
How are prompt quotas, asset quotas, extra audits, additional competitors, and additional markets priced [97]?
Is the contracting entity citedintel.com, and what is its relationship to getcited.in and Clear Cited [104]?
Final AI Consensus Verdict
Cited is a good, but not fully proven, fit for AI Content Optimization Platforms With Citation Intelligence. Two of seven platforms named it during ranking discovery, at an average listed rank of 2.5 and a best rank of 1. Its strongest asset is an evidence-first workflow that stores AI answers verbatim with their citations, diagnoses why competitors win, drafts fixes, and re-measures visibility [106].
The verdict is provisional for three reasons. Cited's public pricing and plan limits conflict across its own official pages, with Starter listed as both free and $95/month and Pro audit quotas differing between pages [109]. Broader engine coverage is largely Enterprise-scoped, leaving standard self-serve plans on ChatGPT and Perplexity [109]. And independent evidence of outcomes is limited, with company-owned citations materially outnumbering independent ones [112].
Buyers should treat the assessment as provisional, confirm the governing pricing schedule and engine list in writing, and recognize that no platform can guarantee AI citations [114].
How This Review Was Produced
This review synthesizes seven platform fit assessments collected for the study "Best AI Content Optimization Platforms With Citation Intelligence," using the run research date of 2026-09-19. Each platform evaluated whether Cited fits the use case and returned a fit rating, strengths, limitations, pricing findings, and questions to verify before buying. Two of the seven platforms named Cited during the ranking stage; the remaining platforms evaluated fit without naming it in their ranked recommendations.
The report is scoped to Cited only for AI Content Optimization Platforms With Citation Intelligence. It is not a broad company review, and no claim here should be read as an endorsement of Cited outside this use case. The consensus index for this category is available at AI Content Optimization Platforms With Citation Intelligence.
For broader context on how these tools are categorized, see the ai seo content optimization directory.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date. DeepSeek's assessment is dated 2026-05-11, while the other six platforms and the run research date are 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness [115].
Company-owned citations materially outnumber independent citations in this evidence set. Of the deduplicated sources, 21 are company-owned, 5 are independent, and 3 have unclear ownership. Company claims are not independently verified, and this review labels them as vendor-reported where relevant.
DeepSeek's assessment ran without search enabled, so its pricing and coverage findings reflect an absence of retrieved public information rather than a confirmed absence of the product or its pricing [115]. Missing research is not treated as disagreement in this review.
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.
Cited's own comparison and ranking pages make favorable claims about its relative performance, including ranking itself first in GEO platform comparisons; these are company-owned claims rather than independent evidence [116].
Sources
Company-Owned Sources
- Features — Citingly AI Brand Intelligence: https://citingly.com/features
- Cited — Generative Engine Optimization Platform: https://www.citedintel.com
- About Cited | AI Recommendation Intelligence, Built to Show Why: https://www.citedintel.com/about
- AI SEO in the United States: How Brands Get Onto AI Shortlists: https://www.citedintel.com/ai-seo/united-states
- The Best GEO Platform for AI Search in 2026: https://www.citedintel.com/answer-engine-optimization/best-geo-platform-for-ai-search
- Top 7 Profound Alternatives for Enterprise Teams in 2026: https://www.citedintel.com/answer-engine-optimization/top-profound-alternatives-for-enterprise
- The 10 Best GEO Tools, Checkers and Trackers in 2026: https://www.citedintel.com/best-geo-tools
- Citedintel vs Competitors and Detailed August 2026 Pricing: https://www.citedintel.com/compare-geo-tools
- Citedintel vs Profound | GEO Tools Compared: https://www.citedintel.com/compare/cited-vs-profound
- Citedintel Alternatives and Pricing Landscape Study: https://www.citedintel.com/competitors-pricing
- Citedintel Docs | How to Run the GEO Platform, End to End: https://www.citedintel.com/docs
- Plans, Limits and Billing | Citedintel Docs: https://www.citedintel.com/docs/plans-and-billing
- Cited for Enterprise | AI Search Visibility Across Every Market: https://www.citedintel.com/for/enterprise
- Free GEO Checker and AI SEO Tool: https://www.citedintel.com/free-geo-tool
- Generative Engine Optimization (GEO): AI SEO Guide: https://www.citedintel.com/generative-engine-optimization
- What Citedintel Delivers - AI Search Shortlist: https://www.citedintel.com/how-it-works
- Citedintel Pricing | Self-Serve GEO Platform, Pro at $375/mo: https://www.citedintel.com/pricing
- GEO Implementation Workflow and Pricing Audit August 2026: https://www.citedintel.com/pricing-audit
- Plan-by-Plan Feature Comparison Matrix: https://www.citedintel.com/pricing-plans
- Why Cited | The GEO Platform Built on Evidence: https://www.citedintel.com/why-cited
- Official pricing and terms source: https://www.citedintel.com/terms
Additional AI research evidence116 records
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:42-1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:42-1
- AI research evidence record anthropic:42-2
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:38-2
- AI research evidence record kimi:c1
- AI research evidence record anthropic:17-4
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:41-5
- AI research evidence record openai:cited_pricing
- AI research evidence record anthropic:39-1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:45-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:40-17
- AI research evidence record perplexity:c3
- AI research evidence record kimi:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:46-6
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:42-3
- AI research evidence record anthropic:42-5
- AI research evidence record anthropic:46-11
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:18-18
- AI research evidence record anthropic:40-15
- AI research evidence record anthropic:42-1
- AI research evidence record google:1.2.1
- AI research evidence record grok:0
- AI research evidence record openai:cited_why
- AI research evidence record perplexity:c3
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c5
- AI research evidence record google:2.2.3
- AI research evidence record kimi:c3
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:40-17
- AI research evidence record openai:cited_pricing
- AI research evidence record anthropic:46-14
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:44-3
- AI research evidence record google:1.2.5
- AI research evidence record google:2.2.2
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-3
- AI research evidence record openai:cited_pricing
- AI research evidence record perplexity:c1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:46-6
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:39-3
- AI research evidence record anthropic:39-14
- AI research evidence record anthropic:42-1
- AI research evidence record google:1.2.1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:17-4
- AI research evidence record openai:cited_docs
- AI research evidence record openai:cited_pricing
- AI research evidence record google:1.1.1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:11-9
- AI research evidence record anthropic:11-10
- AI research evidence record anthropic:18-18
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:46-18
- AI research evidence record anthropic:11-11
- AI research evidence record anthropic:11-12
- AI research evidence record anthropic:39-8
- AI research evidence record anthropic:39-9
- AI research evidence record anthropic:25-6
- AI research evidence record anthropic:25-7
- AI research evidence record anthropic:25-9
- AI research evidence record anthropic:11-9
- AI research evidence record anthropic:11-10
- AI research evidence record kimi:c2
- AI research evidence record openai:cited_why
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:46-6
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:39-1
- AI research evidence record grok:0
- AI research evidence record kimi:c3
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:42-1
- AI research evidence record anthropic:46-13
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:17-4
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:18-18
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:41-5
Independent Sources
- GEO pricing in 2026: what AI search optimization actually costs | Citable: https://citable.agency/journal/geo-pricing-2026/
- 11 Best GEO Tools in 2026: We Tested & Ranked Them: https://geoptie.com/blog/best-geo-tools
- Search results indicating limited independent coverage of Cited: https://www.google.com/search?q=Cited+citedintel+GEO+platform+review
- Best Citation Analysis Options for Optimizing AI Search in 2026: https://www.useomnia.com/blog/best-citation-analysis-options-optimizing-ai-search
- GEO Platform Pricing 2026: DIY Tools vs Agency Retainers: https://www.visibilitystack.ai/signals/compare/geo-platform-pricing-cost-comparison
Additional AI research evidence116 records
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:42-1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:42-1
- AI research evidence record anthropic:42-2
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:38-2
- AI research evidence record kimi:c1
- AI research evidence record anthropic:17-4
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:41-5
- AI research evidence record openai:cited_pricing
- AI research evidence record anthropic:39-1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:45-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:40-17
- AI research evidence record perplexity:c3
- AI research evidence record kimi:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:46-6
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:42-3
- AI research evidence record anthropic:42-5
- AI research evidence record anthropic:46-11
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:18-18
- AI research evidence record anthropic:40-15
- AI research evidence record anthropic:42-1
- AI research evidence record google:1.2.1
- AI research evidence record grok:0
- AI research evidence record openai:cited_why
- AI research evidence record perplexity:c3
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c5
- AI research evidence record google:2.2.3
- AI research evidence record kimi:c3
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:40-17
- AI research evidence record openai:cited_pricing
- AI research evidence record anthropic:46-14
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:44-3
- AI research evidence record google:1.2.5
- AI research evidence record google:2.2.2
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-3
- AI research evidence record openai:cited_pricing
- AI research evidence record perplexity:c1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:46-6
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:39-3
- AI research evidence record anthropic:39-14
- AI research evidence record anthropic:42-1
- AI research evidence record google:1.2.1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:17-4
- AI research evidence record openai:cited_docs
- AI research evidence record openai:cited_pricing
- AI research evidence record google:1.1.1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:11-9
- AI research evidence record anthropic:11-10
- AI research evidence record anthropic:18-18
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:46-18
- AI research evidence record anthropic:11-11
- AI research evidence record anthropic:11-12
- AI research evidence record anthropic:39-8
- AI research evidence record anthropic:39-9
- AI research evidence record anthropic:25-6
- AI research evidence record anthropic:25-7
- AI research evidence record anthropic:25-9
- AI research evidence record anthropic:11-9
- AI research evidence record anthropic:11-10
- AI research evidence record kimi:c2
- AI research evidence record openai:cited_why
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:46-6
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:39-1
- AI research evidence record grok:0
- AI research evidence record kimi:c3
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:42-1
- AI research evidence record anthropic:46-13
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:17-4
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:18-18
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:41-5
Other Sources
- Cited vs AthenaHQ — AI Search Optimization Comparison: https://www.getcited.in/compare/cited-vs-athenahq
- GEO Tools Compared (2026) | Learn GEO - Cited: https://www.getcited.in/learn/geo-tools-compared-2026
- AI Search Optimization Platform for Brands | Cited: https://www.getcited.in/platform
Additional AI research evidence116 records
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:42-1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:42-1
- AI research evidence record anthropic:42-2
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:38-2
- AI research evidence record kimi:c1
- AI research evidence record anthropic:17-4
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:41-5
- AI research evidence record openai:cited_pricing
- AI research evidence record anthropic:39-1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:45-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:40-17
- AI research evidence record perplexity:c3
- AI research evidence record kimi:c1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:46-6
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:42-3
- AI research evidence record anthropic:42-5
- AI research evidence record anthropic:46-11
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:18-18
- AI research evidence record anthropic:40-15
- AI research evidence record anthropic:42-1
- AI research evidence record google:1.2.1
- AI research evidence record grok:0
- AI research evidence record openai:cited_why
- AI research evidence record perplexity:c3
- AI research evidence record kimi:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c5
- AI research evidence record google:2.2.3
- AI research evidence record kimi:c3
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:40-17
- AI research evidence record openai:cited_pricing
- AI research evidence record anthropic:46-14
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:44-3
- AI research evidence record google:1.2.5
- AI research evidence record google:2.2.2
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-3
- AI research evidence record openai:cited_pricing
- AI research evidence record perplexity:c1
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:46-6
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record anthropic:39-3
- AI research evidence record anthropic:39-14
- AI research evidence record anthropic:42-1
- AI research evidence record google:1.2.1
- AI research evidence record google:1.1.1
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:17-4
- AI research evidence record openai:cited_docs
- AI research evidence record openai:cited_pricing
- AI research evidence record google:1.1.1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:11-9
- AI research evidence record anthropic:11-10
- AI research evidence record anthropic:18-18
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:46-18
- AI research evidence record anthropic:11-11
- AI research evidence record anthropic:11-12
- AI research evidence record anthropic:39-8
- AI research evidence record anthropic:39-9
- AI research evidence record anthropic:25-6
- AI research evidence record anthropic:25-7
- AI research evidence record anthropic:25-9
- AI research evidence record anthropic:11-9
- AI research evidence record anthropic:11-10
- AI research evidence record kimi:c2
- AI research evidence record openai:cited_why
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:46-6
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:39-1
- AI research evidence record grok:0
- AI research evidence record kimi:c3
- AI research evidence record openai:cited_why
- AI research evidence record anthropic:42-1
- AI research evidence record anthropic:46-13
- AI research evidence record openai:cited_pricing
- AI research evidence record openai:cited_docs
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:17-4
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:18-18
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:41-5
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 19, 2026
- Platforms analyzed
- 7
- Source records
- 29
- 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
5 independent · 21 company-owned · 3 unclear
Evidence support
24 direct · 4 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 5afffb48e73a46ecb4e4bc2873975c34b152b7a54dc8178f61cdc97932b43cdc