Cited AI Visibility Platform Fit Review for Source Intelligence

Answer Capsule

Cited is a good fit for marketing teams whose primary need is source-level analysis of AI citations, competitor source gaps, prompt monitoring, and actionable source targeting. Two of seven platforms named Cited during the ranking stage, giving it a 28.6% share of included platform responses, an average listed rank of 1.5, and a best listed rank of 1. The strongest reason to consider it is its dedicated Source Intelligence capability: domain, hostname, and URL-level citation tracking with competitor gap filters and source classification. The main limitation is coverage and transparency: full seven-platform monitoring requires Enterprise, public pricing is inconsistent across sources, and independent validation of measurement accuracy is largely absent.

Research Snapshot

Why Cited Qualified for This Study

Questions This Section Answers

• Is Cited a good choice for AI Visibility Platforms for Source Intelligence?
• Why did only two of seven AI platforms name Cited during ranking discovery?

Cited qualified because two platforms named it during ranking discovery and all seven platforms evaluated it for fit against the source-intelligence criteria. The ranking-stage mentions came from anthropic (rank 2) and kimi (rank 1), producing an average listed rank of 1.5 and a best listed rank of 1 ^[1]. The remaining five platforms did not name Cited in their ranking lists but still produced full fit assessments, which is why the fit ratings span good, strong, and uncertain rather than a single verdict.

The entity's fit for this use case rests on a specific capability match. Cited's Source Intelligence product reports the sites and exact pages cited in AI answers, citation share, platform-specific source mix, competitor presence, source type, and role classification, plus week-on-week movement ^[3]. That maps directly onto the study's category criteria: source-level citation data, domain analysis, prompt mapping, competitor comparisons, and historical changes.

Qualification is not the same as validation. Cited is absent from multiple 2026 buyer guides that cover citation-tracking platforms, including Frase, Integrate.io, Useomnia, Wrodium, and Rank Masters ^[4]. A search of G2's AI analytics category returned no Cited profile ^[7]. One independent article does reference Cited in a broader GEO-tools comparison without independently verifying its feature set ^[8]. Buyers should read the ranking-stage qualification as evidence of relevance, not proof of market standing.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Source Intelligence

Questions This Section Answers

• Which Cited plan should a buyer choose if they need source-level citation data across more than three AI platforms?
• Does Cited's Source Intelligence tier include domain analysis and competitor citation gaps on the Pro plan?

The most relevant offering is Cited's Source Intelligence capability, sold inside the Pro, Scale, and Enterprise tiers. Source Intelligence reports the sites and exact pages cited in AI answers, citation share, platform-specific source mix, competitor presence, source type, and role classification, along with week-on-week movement ^[9]. It does not score individual sources and does not measure AI referral traffic ^[9].

Granularity is the differentiator. Cited's Source Intelligence provides citation analysis at three nested levels — domain, hostname, and individual URL — so a team can identify which specific pages influence AI answers rather than only which domains appear ^[10]. Each cited page carries a format label such as reviews, comparisons, product pages, listicles, or editorial, and sources are classified on two axes: site type (marketplace, news, community, and similar) and role (Owned, Competitor, Potential competitor, Channel, Earned Media, Aggregator, Community, Other) ^[10]. A dedicated filter surfaces pages that cite competitors but never cite the buyer's brand, exportable as CSV ^[10].

Platform coverage is tier-gated, and the platforms do not describe the tiers identically. OpenAI reports that Starter and Pro cover ChatGPT, Google AI Overviews, and Perplexity; Scale adds Gemini and Google AI Mode; Enterprise adds Claude and Grok for seven platforms total ^[11]. Anthropic reports Starter tracks ChatGPT, Perplexity, and Gemini, with Pro, Scale, and Custom tracking five platforms including Claude and Grok ^[12]. Kimi reports Starter and Pro cover ChatGPT, Google AI Overviews, and Perplexity, Scale adds Gemini and Google AI Mode, and Enterprise adds Claude and Grok ^[10]. Google reports Starter tracks three engines, Pro tracks five, and Scale and Custom track all seven ^[13]. These accounts conflict on which engines sit in which tier; buyers should confirm the exact engine list for their chosen plan directly with the vendor.

What the AI Platforms Agreed About

Questions This Section Answers

• What do AI platforms agree Cited does well for source intelligence?
• Is Cited's source classification and competitor gap analysis consistently described across platforms?

The platforms agreed on four points: Cited is oriented toward source and page-level citation diagnostics rather than only a visibility score; it classifies sources; it supports competitor comparison on tracked prompts; and it explicitly does not measure traffic or guarantee outcomes.

On source-level data, OpenAI reports that Source Intelligence covers citation share, platform-specific source mix, competitor presence, source type, role classification, and week-on-week movement ^[14]. Kimi reports three-level granularity across domain, hostname, and URL plus dual-axis classification ^[15]. Grok reports full citation detail including domain intelligence tables, brand-versus-competitor affinity scores, and priority target lists for content and PR outreach ^[16]. Perplexity reports that Cited says Source Intelligence shows which sources shape a category, where competitors get cited, and where the buyer is missing ^[18].

On competitor comparison, OpenAI reports Cited measures competitors on the same prompts and provides competitor gaps, with Pro supporting five competitors, Scale eight, and Enterprise unlimited ^[20]. Kimi reports a dedicated competitor-gap filter with CSV export ^[15]. Grok reports head-to-head share of voice and gap analysis on Pro and higher plans ^[16].

On measurement boundaries, the agreement is explicit and consistent. Cited states that a citation is not a click and that Source Intelligence is not a substitute for traffic analytics ^[14]. Its terms disclaim guaranteed visibility, ranking, or traffic outcomes ^[21]. Kimi independently reports that Cited does not measure AI referral traffic and does not assign composite scores to individual sources ^[15]. This is a limitation the vendor itself publishes, not a gap discovered by reviewers.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

• Why do AI platforms disagree about Cited's pricing and plan structure?
• Is Cited suitable for a US marketing team that needs verified US-market coverage?

The platforms disagreed on pricing, plan structure, engine coverage by tier, refresh cadence, and US-market readiness. These are material conflicts, and none should be resolved by assumption.

Pricing is the sharpest conflict. OpenAI reports Pro at $209/month annual or $249/month monthly, Scale at $759/month annual or $899/month monthly, Enterprise from $1,529/month, and Starter at $92/month annual or $109/month monthly with Source Intelligence excluded ^[22]. Grok reports Pro at $209/month yearly and Scale at $759/month yearly, with Starter lacking Source Intelligence ^[23]. Perplexity reports the same ladder: Starter $92/month, Pro $209/month, Scale $759/month, Enterprise from $1,529/month ^[24]. Google reports a different ladder entirely: Starter $79/month, Pro $299/month, Scale $499/month ^[25]. Anthropic reports pricing listed exclusively in INR starting at ₹7,999/month with no USD equivalent ^[26]. Kimi reports no public pricing at all ^[27]. Deepseek, which ran without search enabled, found no verifiable public pricing ^[28]. A third-party directory listing also conflicts with the vendor's own pricing page ^[30]. The official pricing page retrieved for this study shows monthly and yearly toggles, a 14-day free trial on Starter and Pro, GST added for Indian customers, and USD billing for everyone else, but the retrieved excerpt does not display the numeric plan prices (official:C2).

Refresh cadence is also contested. OpenAI reports paid plans re-run tracked prompts daily ^[22]. Anthropic reports weekly auto-refresh on Pro ^[31]. Kimi reports that data refresh frequency for Source Intelligence specifically is not specified publicly ^[27]. Google reports a daily refresh cadence ^[25]. Independent research cited by Anthropic documents 40–60% month-over-month domain changes across major platforms and argues weekly refresh is insufficient for high-change categories ^[32]. If the daily-versus-weekly question matters to the buyer, it must be confirmed in writing.

Geography is a third conflict. Google reports that Cited's benchmark data, including the Cited Index, heavily emphasizes Indian and MENA markets, so US-specific local context is less deeply benchmarked natively ^[33]. OpenAI reports that Cited's public pages claim coverage of any brand or market, but the public Cited Index is focused on Indian brands and Indian prompts, and US-market measurement should be validated with a buyer-specific sample ^[35]. Grok reports that exact US-versus-India prompt focus for paid plans is unclear from public pages ^[36]. Deepseek reports that whether Cited serves United States buyers is unconfirmed ^[29].

Two platforms reached materially different verdicts. Anthropic rated the fit uncertain, citing absence from major 2026 buyer guides, no G2 or Capterra reviews, undocumented compliance certifications, and weekly refresh ^[38]. Deepseek, which ran without search enabled, rated the fit uncertain because it could not corroborate the named plans or features at all ^[28]. Grok rated the fit strong ^[23]. OpenAI, Perplexity, Kimi, and Google rated it good ^[35]. The spread reflects evidence availability as much as product quality.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

• Does Cited provide prompt mapping and historical change tracking for source intelligence?
• Can Cited export source-level citation data for a content or PR team to act on?

Cited's strongest use-case alignment is source diagnostics with an execution layer. The table below maps each study criterion to what the platforms reported.

Actionability and exports are reported consistently. Pro and Scale include prioritized tasks with content briefs, CSV export, and MCP access; Scale adds AI Shelf, Social Intelligence, Agents, Slack alerts, and multi-brand management ^[44]. Anthropic reports Slack alerts and source mapping on Scale ^[45]. Google reports that Cited differentiates from monitoring-only tools by offering an execution layer with prioritized recommendations and content briefs ^[46]. Kimi reports verbatim AI answer storage with tracked prompts and competitors, enabling manual verification of citation origins within answer context ^[47].

Two capability boundaries are consistent across platforms. Cited does not measure AI referral traffic, and it does not assign composite scores to individual sources, so analysis relies on citation share, platform coverage, competitor presence, and movement metrics ^[47]. API access, SSO, white-label reporting, and unlimited coverage are Enterprise features ^[48]. Anthropic reports no documented compliance certifications such as SOC 2, GDPR, HIPAA, or ISO 27001, while peer platforms explicitly list certifications ^[49].

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 are Cited's contract, renewal, and cancellation terms for a US buyer?

Pricing is the least reliable part of the public record for Cited. The platforms reported at least three incompatible price ladders, and the official pricing page retrieved for this study shows plan toggles and trial terms but not the numeric prices in the retrieved excerpt (official:C2).

The official pricing page retrieved for this study states that Starter and Pro begin with 14 days free and no card, while Scale and Enterprise begin with a sales conversation because answer volume on those plans is too large to give away unmetered (official:C2). It also states that cards are accepted in USD and INR, bank transfer is available on annual plans, Indian customers are billed in INR with GST added, and everyone else is billed in USD at the displayed price (official:C2). Agency pricing is separate, pooled across a client roster, and not self-serve (official:C3).

Contract and cancellation terms are partially documented. OpenAI reports plans can be changed or cancelled from settings, cancellation stops future billing at the end of the paid period, subscriptions renew automatically unless cancelled before renewal, and current-period charges are not prorated ^[50]. The official pricing page confirms upgrades take effect immediately with prorated differences and cancellation stops billing at the end of the paid period (official:C2). Anthropic reports monthly and annual billing options with a 20% annual discount but found no published minimum contract term or cancellation policy ^[51]. Perplexity reports that public cancellation, renewal, overage, seat, and annual-contract terms were not clearly disclosed in reviewed sources ^[52]. Kimi reports contract and cancellation terms are not publicly disclosed ^[53].

On additional fees, OpenAI reports applicable taxes should be confirmed on the invoice and no separate Source Intelligence fee is publicly listed for Pro, Scale, or Enterprise ^[54]. Google reports VAT or local taxes where applicable ^[55]. The official agency page lists overage pricing in INR: 3,000 extra AI answers a month at ₹3,700, AI Shelf SKU tracking at ₹2,750 per brand, and ten more prospect audits at ₹2,750 (official:C3). Whether comparable overage pricing applies to brand plans is not documented in the retrieved material.

Best Suited For

Questions This Section Answers

• Who gets the most value from Cited for source intelligence?
• Is Cited a good fit for a US team that needs competitor source-gap analysis?

Cited is best suited to teams that need to know which domains and pages influence AI answers and how competitor source coverage differs. OpenAI reports the best-considered uses are teams needing source and page-level citation analysis rather than only a visibility score, teams comparing competitors across tracked prompts and monitoring changes daily, and US teams willing to begin with ChatGPT, Google AI Overviews, and Perplexity or pay more for Scale coverage ^[56].

Kimi reports the strongest fits are teams prioritizing competitor source-gap identification, organizations needing page-level citation tracking with content format analysis, marketers wanting source role classification, and buyers needing weekly source movement tracking ^[58]. Grok reports the fit is strongest for teams needing prompt-level source intelligence and competitor citation comparisons, including US marketers tracking ChatGPT, Gemini, Perplexity, and Google AI Overviews ^[59]. Perplexity reports the best fit is marketing teams prioritizing source intelligence, prompt tracking, and competitor and source gap analysis across AI platforms, plus teams that want a simple path from measurement to prioritized actions ^[61]. Google reports the best fit is marketing teams needing to track citation sources across multiple LLMs, SaaS and D2C brands looking for actionable content playbooks, and companies focused on India and MENA markets wanting detailed regional benchmarks ^[63].

The common thread across all seven assessments is a team that will act on source-level data — outreach, content briefs, or PR targeting — rather than one that only needs a visibility score.

Probably Not Best Suited For

Questions This Section Answers

• Who should not choose Cited for AI Visibility Platforms for Source Intelligence?
• Is Cited a poor fit for buyers who need all seven AI platforms on a self-serve plan?

Cited is probably not the right choice for buyers who need all seven supported AI platforms on a standard self-serve plan, independently validated causal evidence that a cited source drives recommendations or traffic, or API access, SSO, white-label reporting, and unlimited coverage without an Enterprise agreement ^[65].

Anthropic reports it is probably not best for US teams requiring transparent USD pricing and annual contract terms posted publicly, organizations needing real-time citation analysis or a used-versus-cited source distinction, enterprise buyers requiring SOC 2, GDPR, HIPAA, or comparable certifications, teams requiring competitive benchmarking across seven or more AI engines without add-on fees, and buyers seeking platforms ranked in recent independent 2026 buyer guides with G2 or Capterra reviews ^[66]. Kimi reports it is probably not best for teams requiring confirmed Claude or Grok coverage without upgrading to Enterprise, budget-constrained buyers needing transparent public pricing, organizations wanting AI referral traffic measurement rather than citation influence analysis, and teams needing Google AI Mode coverage on lower tiers ^[69]. Google reports it is probably not best for enterprises requiring immediate, comprehensive US-native local physical store citation tracking, or teams that rely heavily on measuring brand mentions inside YouTube videos or video transcripts ^[70]. Deepseek reports it is probably not best for buyers who require independently documented, verifiable source-intelligence features and public pricing before purchase ^[71].

When Another Option May Be Better

Questions This Section Answers

• What is a better alternative to Cited for a buyer who needs daily citation refresh at a published USD price?
• When should a buyer choose a broader enterprise SEO platform instead of Cited?

Another option may be better in five specific situations, and the platforms named concrete alternatives.

When the buyer needs more than five AI engines without add-on costs, Anthropic names Profound (Enterprise), Semrush (Enterprise AIO with five-plus engines on base plans), or Peec AI (all platforms on all plans) as broader alternatives ^[73]. When the buyer needs real-time or daily citation analysis and cannot tolerate weekly refresh delays, Anthropic names OtterlyAI (weekly), Peec AI (daily), or Profound (plan-dependent, up to daily) ^[74]. When the buyer requires a used-versus-cited source distinction, Anthropic reports Peec AI uniquely documents that feature ^[74]. When the buyer needs compliance certifications, Anthropic reports Profound and Writesonic explicitly list certifications while Cited does not ^[75]. When the buyer requires an end-to-end execution workflow combining monitoring with content remediation, technical SEO, and PR outreach, Anthropic reports Semrush, Peec AI, Profound, and Maintouch integrate remediation while Cited appears monitoring-only ^[76].

Kimi names four alternatives with specific attributes: SE Visible offers transparent pricing from $99 with specified prompt limits and platform coverage ^[77]; Prominence AI provides REST API access from day one for programmatic integration ^[78]; Surfacd offers automatic source categorization without manual role assignment ^[79]; and Viali covers six AI platforms without apparent tier-gating ^[80]. OpenAI advises choosing another platform when all seven AI platforms must be monitored at a lower or clearly published self-serve price, and choosing a broader enterprise SEO or analytics platform when API integrations, governance, large-scale reporting, or established independent benchmarking matter more than source-level AI citation diagnostics ^[81]. OpenAI also advises using conventional web analytics and referral tools alongside Cited when the decision depends on clicks, conversions, or revenue rather than citation presence ^[82].

Questions to Verify Before Buying

Questions This Section Answers

• What should a buyer confirm with Cited before signing a contract?
• Which Cited plan limits and overage terms need written confirmation before purchase?

The platforms converged on a verification checklist that maps to the conflicts above. Buyers should get written answers before committing budget.

Confirm whether Cited can monitor the buyer's exact US prompts, locations, languages, product categories, and regulated or local search contexts ^[83]. Confirm how citations are deduplicated, normalized, classified, and attributed when AI platforms return dynamic or redirecting URLs, and what percentage of tracked answers include usable source URLs ^[83]. Confirm whether raw answer transcripts, citation URLs, timestamps, prompt metadata, and historical snapshots can be exported ^[83]. Confirm whether platform-specific query limits, answer-volume overages, seats, onboarding, or implementation fees are charged beyond the published plan price ^[84]. Confirm retention, deletion, security, DPA, SSO, and access-control terms for Enterprise and US customers ^[83]. Confirm whether Scale's multi-brand allowance covers the buyer's exact number of domains and business units ^[84]. Confirm what independent validation or reproducibility evidence exists for source classification and citation-share calculations ^[83].

Anthropic adds: confirm the current USD equivalent for Pro, Scale, and Custom tiers and the published contract, minimum commitment, and renewal terms; confirm whether Google AI Mode, Microsoft Copilot, or other 2026 platforms are tracked beyond the published set; confirm the technical depth of source mapping on Scale, including automatic domain classification, authority ranking, URL-level tracking, and citation position; confirm how perception gap analysis works operationally and whether results export for content execution; confirm the data refresh frequency per tier; confirm whether a used-versus-cited feature exists; confirm compliance certifications and where security documentation is published; confirm whether the platform integrates with CMS, tag managers, or PR platforms beyond Slack; and confirm customer base size and why the platform is absent from major 2026 buyer guides ^[85]. Kimi adds: confirm the exact annual cost per tier and whether monthly billing exists, how many prompts, competitors, and seats are included, whether historical citation data is backfilled or forward-collected from signup, whether Enterprise Claude and Grok coverage carries per-platform fees, what SLAs exist for data accuracy and uptime, whether source data exports via API and whether API access is tier-gated, and how ambiguous pages such as sponsored content on editorial sites are classified ^[87]. Google adds: confirm whether the tracked prompt count on the chosen plan is sufficient for the buyer's catalog and whether the crawler accurately captures geo-targeted US results for Google AI Overviews and AI Mode ^[88].

Final AI Consensus Verdict

Cited is a good fit for AI Visibility Platforms for Source Intelligence, with the strongest alignment in Pro or Scale. Two of seven platforms named it during ranking discovery, and all seven evaluated it for fit. Four platforms rated the fit good, one rated it strong, and two rated it uncertain. The strongest reason to consider it is its dedicated Source Intelligence capability: domain, hostname, and URL-level citation tracking, dual-axis source classification, competitor gap filters with CSV export, content format labeling, and week-on-week movement tracking. The main limitation is that full seven-platform coverage requires Enterprise, public pricing is inconsistent across sources, refresh cadence is disputed between daily and weekly, and independent validation of measurement accuracy is largely absent.

The buyer should treat Cited as a source-intelligence and workflow layer, not as proof of traffic impact or guaranteed recommendation outcomes. Cited's own terms disclaim guaranteed visibility, ranking, or traffic outcomes, and its own documentation states that a citation is not a click ^[89]. For teams that will act on source-level data, the fit is credible. For teams that need published USD pricing, documented compliance certifications, or independently benchmarked accuracy before purchase, the evidence does not yet support a confident commitment. This review is part of the broader AI Visibility Platforms for Source Intelligence consensus index, which covers the full field of ai visibility llm monitoring platforms.

How This Review Was Produced

Seven AI platforms evaluated Cited against the source-intelligence use case on 2026-09-19. Each platform produced a fit rating, use-case findings, strengths, limitations, pricing and terms, and a verification checklist. Two platforms named Cited during ranking discovery; all seven produced fit assessments. Platform-reported research dates differ from the authoritative run date: Deepseek reported 2026-06-25, while the other six reported 2026-09-19. Deepseek ran without search enabled, which limits its ability to corroborate vendor claims. All 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.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date, and those dates are provenance metadata rather than independent proof of freshness. Deepseek ran without search enabled, so its findings reflect an inability to locate evidence rather than a negative assessment of the product. Pricing conflicts across platforms were not resolved by guessing; they are reported as conflicts. The official pricing page retrieved for this study shows plan toggles and trial terms but not the numeric prices in the retrieved excerpt, so the price ladder remains unconfirmed. Cited's public benchmark data emphasizes Indian and MENA markets, and US-market measurement depth is unverified. No independent validation of Cited's measurement accuracy, customer outcomes, or compliance posture was located. Platform agreement on a finding does not prove product quality. The absence of Cited from multiple 2026 buyer guides is reported as a market-presence observation, not as evidence that the product underperforms.