Best AI Search Intelligence Platforms for Citation Share

Answer Capsule

Profound is the consensus leader for AI Search Intelligence Platforms for Citation Share, named by all 7 platforms studied and holding the best average listed position (2.86) with four platforms ranking it first. OtterlyAI is the strongest low-cost, self-serve alternative for domain- and URL-level citation monitoring, while Semrush and Ahrefs suit teams that want citation share connected to an existing SEO workflow. This index studied 7 platforms (OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google), which named 31 unique entities; 10 qualified by being named by at least two platforms. The principal limitation is that the study used one standardized prompt sent once to each platform, and most detailed capability claims trace to company-owned sources rather than independent validation, so pricing, engine coverage, and methodology should be verified before purchase.

Research Snapshot

• Topic: Best AI search audits and market intelligence for AI Search Intelligence Platforms for Citation Share
• Target buyer: Companies seeking AI Search Intelligence Platforms for Citation Share across AI search, generative-answer, and recommendation platforms
• Use case: Measuring a company's share of AI citations relative to competitors and publishers across commercially important prompts, with domain- and URL-level citation data, competitor comparisons, platform differences, citation architecture analysis, source trends, and historical tracking
• Geography: United States
• Platforms included (7): OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, Google
• Research date: 2026-09-18
• Unique entities named: 31
• Qualifying entities: 10
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking rule: Platform mentions, then average listed rank, then best listed rank

Platform mentions count only ranking-discovery mentions. They do not represent the number of platforms that later completed a fit assessment, and they are not a measure of product quality.

The Consensus Ranking

Questions This Section Answers

• What are the best AI search intelligence platforms for citation share in 2026?
• Which citation-share platforms were named by the most AI platforms in this study?

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

Questions This Section Answers

• Which AI citation-share platform should a buyer choose if they need domain- and URL-level citation data across many AI engines?
• Is Profound or OtterlyAI better for citation share when budget and self-serve onboarding matter?
• Which citation-share platform is best for a team that already pays for Semrush or Ahrefs?

1. Profound

Questions This Section Answers

• Is Profound worth it for AI citation share, and what are its main drawbacks?
• Which Profound plan does a buyer need for multi-engine citation tracking, and what does it cost?

Profound is the consensus leader in this study: it was named by all 7 platforms, holds the best average listed position at 2.86, and was ranked first by four platforms ^[1]. It is the most frequently recommended platform for structured citation-share monitoring, competitor benchmarking, source categorization, and historical trend tracking across AI answer engines.

Why it ranked here. Profound's citation tooling is described as showing which sources and pages answer engines cite, including owned and competitor sources, with citation data export available from Answer Engine Insights ^[2]. Cited sources can be categorized as Owned, Competitor, Earned Media, PR Wire, Social, or Institution for comparison and benchmarking ^[3]. The platform documents citation-share analysis by platform, topic, or prompt, and tracks historical citation-share trends ^[4]. It also publishes large-scale real-user conversation data through the Profound Index, defining Co-citation Share as domains cited alongside a brand ^[5].

Best suited for. Marketing, SEO, AEO, and communications teams measuring competitive citation share across ChatGPT, Perplexity, and Google AI Overviews; enterprise programs requiring customized prompt coverage, more answer engines, multiple companies, exports, integrations, and procurement-oriented controls ^[6].

Main strengths for this use case. Domain- and URL-level citation tracking with automatic source classification ^[7]; real-user conversation data collection rather than simulated prompts ^[9]; prompt-level citation measurement that reveals gaps where competitors appear but the buyer does not ^[10]; and Enterprise-tier coverage of 10+ engines including Claude and Gemini ^[11].

Main limitations. Starter is limited to ChatGPT tracking and 50 prompts, while Growth provides three answer engines and 100 prompts ^[12]. Claude and Gemini coverage are Enterprise-only with no self-serve path ^[13]. There is no CMS integration, so citation insights do not translate into shipped fixes ^[14]. API access is Enterprise-only ^[15], tracking is country-level only ^[16], and there is no white-label option at any tier ^[17].

Pricing or cost summary. Public pricing lists Starter at $99/month and Growth at $399/month when billed yearly, with two months free; Enterprise pricing is custom ^[18]. Third-party reports place Enterprise deployments at $2,000–$5,000+ per month ^[19].

2. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for citation share, and what are its main drawbacks?
• Which OtterlyAI plan has the lowest published cost for domain- and URL-level citation tracking, and what add-on fees apply?

OtterlyAI was named by all 7 platforms and is the strongest low-cost, self-serve option in this index. It combines domain- and URL-level citation tracking with daily monitoring and public pricing that starts well below most enterprise-oriented competitors.

Why it ranked here. OtterlyAI reports cited domains and URLs, domain coverage, citation counts, citation trends, the prompts in which a URL was cited, the relevant AI engine, and whether the brand was mentioned in the answer ^[20]. Every domain and URL cited in AI answers is checked daily with link-position changes over time ^[21]. The platform supports competitor tracking, competitor ranking in AI answers, and domain-coverage trends over time ^[22].

Best suited for. Marketing, SEO, content, PR, and agency teams benchmarking brand and competitor citation visibility; companies needing domain- and URL-level source analysis across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot; buyers wanting daily historical monitoring with public self-serve pricing ^[23].

Main strengths for this use case. Direct URL and domain citation visibility rather than only brand-mention monitoring ^[24]; four engines included in all base plans ^[25]; geographic segmentation across 50+ markets ^[26]; and agency-friendly features including unlimited team members and multiple workspaces ^[27].

Main limitations. Prompt volume is capped by plan and additional prompts increase recurring cost ^[28]. Google AI Mode and Gemini are paid add-ons at $9–$149/month depending on tier ^[29]. There is no traffic attribution, so the platform cannot show whether a citation drove visits or leads ^[30]. Meta AI, Grok, and DeepSeek are not tracked ^[31]. Historical analysis is not retroactive before tracking begins ^[32].

Pricing or cost summary. Lite is $29/month with 15 prompts; Standard is $189/month with 100 prompts; Premium is $489/month with 400 prompts; Enterprise starts from $1,000/month ^[30]. Additional 100-prompt packs cost $99/month ^[20]. Annual billing is advertised at 15% off ^[20].

Where platforms disagreed. Kimi could not verify OtterlyAI's citation granularity, platform coverage, or pricing and rated it uncertain ^[35].

3. Semrush

Questions This Section Answers

• Is Semrush's AI Visibility Toolkit worth it for citation share if a buyer already pays for Semrush SEO?
• Which Semrush plan covers the AI engines a citation-share program needs, and what do extra domains and prompts cost?

Semrush was named by 6 of 7 platforms and ranked first by two of them. It is the strongest option for buyers who want citation-share monitoring connected to an established SEO workflow rather than a standalone AI-visibility tool.

Why it ranked here. The Visibility Overview report exposes Mentions, Citations, Cited Pages, and source opportunities, and Semrush describes citations as AI responses that cite the analyzed domain ^[36]. Competitor Research compares AI visibility, mentions, citations, topic coverage, and prompt gaps against up to four competitor domains at a time ^[37]. Brand Performance tracks Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini ^[38].

Best suited for. SEO and content teams that want AI citation monitoring integrated with SEO, site auditing, competitor research, and reporting; companies benchmarking citation and mention share against a limited set of named competitors; organizations needing coverage across ChatGPT, Google AI Overviews or AI Mode, Gemini, and Perplexity.

Main strengths for this use case. Direct reporting on AI mentions, citations, and cited pages ^[36]; the ability to overlay Google rankings with ChatGPT rankings to see citation gaps ^[39]; a 317M+ prompt database spanning ChatGPT, Gemini, Google AI Overviews, and AI Mode ^[40]; and daily data refresh ^[41].

Main limitations. The Base plan's 25 custom tracked prompts may be insufficient for large citation-share universes ^[42]. Competitor Research documentation specifies up to four competitors per analysis ^[37]. Sampling methodology is not published, so citation accuracy cannot be independently verified before purchase ^[43]. Claude, Copilot, Grok, and DeepSeek are reserved for Enterprise AIO ^[44]. Per-domain pricing scales steeply for agencies ^[45].

Pricing or cost summary. The AI Visibility Toolkit is listed at $99/month per domain billed annually ^[46]. Additional domains cost $99/month each, additional user seats start at $45/month, and additional prompt capacity is listed as 50 prompts for $60/month ^[47]. Semrush One bundles start at $199/month ^[48]. Enterprise AIO is custom-priced ^[46]. .

4. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for citation share if a buyer does not already pay for Ahrefs?
• Is Ahrefs or Semrush better for AI citation share when broad search-backed prompt benchmarking matters?

Ahrefs was named by 5 of 7 platforms and holds the second-best average listed position in the index at 4.80. Its Brand Radar product is the most search-demand-anchored option here, modeling prompts from real Google search behavior rather than synthetic query lists.

Why it ranked here. Brand Radar reports mentions, citations, AI Share of Voice, and estimated impressions, and compares a brand's visibility with competitors within the tracked topic or prompt set ^[49]. It provides cited-pages and cited-domains reporting and can show the AI responses and queries in which a brand or tracked domain is cited ^[50]. The AI Visibility Index covers Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot ^[51].

Best suited for. SEO, content, and brand teams benchmarking AI Share of Voice and citation share against competitors; companies needing cited-domain and cited-URL discovery across six AI surfaces; organizations that want AI citation analysis connected to search demand, topics, web visibility, YouTube, Reddit, and TikTok signals ^[52].

Main strengths for this use case. Direct measurement of citation and mention visibility rather than only conventional SEO rankings ^[53]; competitor comparisons and AI Share of Voice ^[54]; historical AI visibility data and recurring re-testing ^[55]; and integration with Ahrefs' backlink, keyword, and site-audit data ^[56].

Main limitations. AI Visibility Index results are modeled from search-backed prompts and are not a census of actual user conversations ^[55]. Independent testing reported accuracy gaps, including a ChatGPT snapshot showing 3 mentions versus 123 actual in live testing ^[57]. Claude is not natively tracked at the $828+ price point ^[58]. Ahrefs publishes two different Brand Radar entry prices on different pages ^[59].

Pricing or cost summary. Brand Radar is listed at $199/month per single AI index and $699/month for all platforms, including 2,500 custom-prompt checks per month ^[60]. Custom Prompt packages are listed at $50, $100, or $250 per month with overage rates of $0.020, $0.015, and $0.010 per check ^[61]. A broader Ahrefs subscription may be required or commercially useful ^[60]. .

5. Peec AI

Questions This Section Answers

• Is Peec AI worth it for citation share, and what are its main drawbacks?
• Which Peec AI plan should a buyer choose for multi-model citation tracking, and what do extra engines cost?

Peec AI was named by 5 of 7 platforms and is the most transparently priced mid-market option in this index. It combines domain- and URL-level citation tracking with competitor comparisons and historical visibility analysis.

Why it ranked here. Peec AI describes its sources-and-citations capability as tracking the web pages cited by AI engines, with citation sources at both domain and URL level ^[62]. It distinguishes between "used" content that informed an answer and "cited" URLs explicitly mentioned ^[63]. The platform tracks prompts across selectable AI models and reports visibility, share of voice, position, and win rate over time ^[64].

Best suited for. SEO and content teams monitoring brand visibility and citations across multiple generative-answer platforms; companies comparing their brand and competitors across tracked prompts, models, countries, and time; organizations wanting domain- and URL-level source visibility plus practical monitoring workflows ^[64].

Main strengths for this use case. Domain- and URL-level citation tracking ranked by citation frequency ^[65]; six major AI engines listed across paid plans ^[66]; multi-language and multi-country tracking on all plans ^[67]; and unlimited user seats across all plans ^[68].

Main limitations. Peec AI is a diagnostic tool that identifies citation gaps but does not produce or restructure content to win them ^[69]. It does not offer built-in end-to-end AI referral attribution ^[70]. There is no native HubSpot or Salesforce integration ^[71]. There is no historical backfill; tracking starts once a buyer signs up ^[72]. Self-serve tiers are capped at three AI models ^[73].

Pricing or cost summary. Starter is $95/month with 50 prompts; Pro is $245/month with 150 prompts; Advanced is $495/month with 350 prompts; Enterprise is custom-priced ^[68]. Additional AI models cost $30/month on Starter, $70/month on Pro, and $140/month on Advanced ^[73]. Annual billing provides a 15% discount ^[64].

Where platforms disagreed. DeepSeek and Kimi both rated Peec AI uncertain because the official website could not be retrieved during their research ^[74].

6. Scrunch AI

Questions This Section Answers

• Is Scrunch AI worth it for citation share, and what are its main drawbacks?
• Which Scrunch AI plan includes Claude and Gemini citation tracking, and what does the Core plan cost?

Scrunch AI was named by 4 of 7 platforms and is the most technically oriented option in this index. It combines URL-level citation intelligence with AI bot traffic analytics and a CDN-layer optimization product.

Why it ranked here. Scrunch records cited webpages and provides citation-share views by owner, top cited domains, and filterable source-level metrics for specific domains or URLs, including citation counts, consistency, unique prompts, and Influence Score ^[76]. It provides competitive benchmarking across eight listed AI platforms, comparing brand and competitor mentions, citations, share of voice, source influence, and changes over time ^[77]. Documented coverage includes ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta AI, and Microsoft Copilot ^[76].

Best suited for. Marketing, SEO, content, and digital-experience teams that need prompt-level citation intelligence across several AI answer platforms; companies that need competitor and third-party source comparisons, citation-gap detection, and historical trend analysis; enterprise buyers that need larger prompt volumes, security controls, APIs, or dedicated support ^[78].

Main strengths for this use case. Domain- and URL-level citation data with drill-down and filtering by citation owner ^[79]; citation influence scoring and trend analysis ^[80]; named AI bot tracking for ClaudeBot, GPTBot, and PerplexityBot ^[81]; and SOC 2 Type II compliance with SAML SSO on Enterprise ^[82].

Main limitations. Scrunch is monitoring-first and provides minimal tools to remediate content or secure placements within its own ecosystem ^[83]. The Agent Experience Platform remains in limited pilot and should not factor into purchase decisions ^[84]. Data refresh is tri-daily rather than real-time ^[85]. Claude is gated to Enterprise only ^[86]. Prompt credit burn is fast because one prompt tracked across four engines consumes four credits ^[87].

Pricing or cost summary. The current public pricing page lists Starter at $250/month billed annually or $300 month-to-month, Growth at $417/month annually or $500 month-to-month, and Enterprise at custom pricing ^[88]. Starter includes 350 custom prompts, 1,000 industry prompts, 3 personas, 5 page audits, and 3 user licenses ^[88]. A 7-day Starter trial is advertised with no credit card required ^[88]. .

7. SE Ranking

Questions This Section Answers

• Is SE Ranking worth it for citation share, and what are its main drawbacks?
• Which SE Ranking plan includes AI citation tracking, and what does the AI Search add-on cost?

SE Ranking was named by 3 of 7 platforms and holds the lowest average listed position in this index at 7.67. It is the most affordable way to add citation monitoring to an existing SEO subscription, but its citation depth trails the specialists.

Why it ranked here. The AI Search Competitive Research module reports citation share, defined as how often a source appears, with visibility type, topics, domain metrics, and competitor presence ^[89]. SE Visible reports which domains and URLs are cited, citation frequency, source coverage, competitor mentions, and opportunities where competitors are cited but the buyer is not ^[90]. Documented coverage is Google AI Overviews, Google AI Mode, ChatGPT, Gemini, and Perplexity ^[91].

Best suited for. SEO teams and agencies already using SE Ranking; companies needing citation share, source coverage, competitor gaps, and URL/domain analysis in one workflow; buyers needing API or export access for reporting and dashboards ^[92].

Main strengths for this use case. Direct citation-share metric and citation tables ^[89]; URL- and domain-level source views with coverage and competitor gaps ^[90]; coverage across five major AI answer engines ^[91]; and an AI Visibility API with structured mentions, citation links, positions, and historical statistics ^[93].

Main limitations. Coverage is limited to the five documented engines; other recommendation platforms are not confirmed ^[91]. SE Visible white labeling is not currently supported ^[94]. AI Search usage is consumption-limited through checks, and cross-engine tracking multiplies usage ^[91]. The Visibility score excludes website citations, so citation analysis must be interpreted separately from brand visibility ^[94]. A dedicated technical citation-architecture audit is not clearly documented ^[89].

Pricing or cost summary. The AI Search add-on is listed from $89/month or $71.20/month on annual billing for 200 checks, with larger 450- and 1000-prompt tiers at $179/month and $345/month ^[95]. SE Ranking Core is publicly shown at $129/month monthly or $103.20/month annually, and Growth from $279/month monthly or $223.20/month annually ^[95]. SE Visible standalone pricing is shown separately from $99/month ^[96]. .

8. LLM Pulse

Questions This Section Answers

• Is LLM Pulse worth it for citation share, and what are its main drawbacks?
• Which LLM Pulse plan includes API access, and what does the platform cost in US dollars?

LLM Pulse was named by only 2 of 7 platforms, but both ranked it highly, giving it the best average listed position in the entire index at 2.00. It is the most transparently priced option for domain-, host-, page-, and path-level citation analysis.

Why it ranked here. LLM Pulse reports citations as domains or URLs returned by AI models and provides citation-source views by domain, host, or page, with URL matching configurable for a domain and subdomains, exact hostname, or hostname-and-path rules ^[97]. It parses every citation and resolves it to its registrable domain ^[98]. The platform claims citation share, citation rate, share of voice, and competitor benchmarking with model-level breakdowns ^[99].

Best suited for. Marketing and SEO teams tracking citation share across multiple AI models; companies needing domain, host, page, and path-level citation-source analysis; agencies and enterprises requiring competitor benchmarking, model-level reporting, exports, API access, or scheduled reports ^[99].

Main strengths for this use case. Explicit citation, citation-rate, source-table, and share-of-voice metrics ^[99]; domain, host, page, and path-level source inspection ^[97]; competitor and model-level comparisons ^[100]; and a hosted MCP server with 45+ read and write tools included on every plan ^[101].

Main limitations. Pricing is displayed in euros rather than US dollars, and the final US cost after tax and conversion is unclear ^[102]. Observed citation results depend on synthetic prompts and public-interface behavior ^[103]. The exact current model and platform coverage, retention period, and sampling controls require verification ^[104]. Public evidence is primarily vendor-controlled, with no independent audit verified ^[99]. REST API access is gated to the Scale tier ^[105].

Pricing or cost summary. Starter is €49/month for weekly tracking or €79/month for daily tracking with 50 prompts; Growth is €99 or €149; Scale is €299 or €449 ^[102]. Add-ons include €100/month per additional 100 tracked prompts and €50/month per additional project, with extra AI models from €10/month ^[102]. Annual billing is described as ten times the monthly price, equivalent to two months free ^[102]. .

9. Omnia

Questions This Section Answers

• Is Omnia worth it for citation share, and what are its main drawbacks?
• Which Omnia plan should a buyer choose for URL-level citation tracking, and what do insight credits cost?

Omnia was named by 2 of 7 platforms and holds the second-best average listed position in the index at 2.50. It is the most action-oriented option here, pairing citation intelligence with a prioritized optimization backlog and an agentic execution layer.

Why it ranked here. Omnia states that it identifies the sources cited by AI engines and provides citation intelligence at both URL and domain level ^[106]. It delivers URL-level, domain-level, and entity-level citation breakdowns showing where competitors win and which third-party sources to target ^[107]. The platform publicly describes share-of-voice measurement, competitor benchmarking, and prompt tracking ^[108].

Best suited for. Marketing, SEO, and GEO teams monitoring brand and competitor visibility across major generative-search platforms; agencies needing prompt, competitor, citation, and geographic reporting; companies wanting citation intelligence connected to prioritized optimization recommendations ^[108].

Main strengths for this use case. URL-, domain-, and entity-level citation breakdowns ^[107]; real browser-based tracking that captures country-specific citation patterns ^[109]; an action layer that converts citation data into a prioritized backlog ^[110]; and an MCP server for querying citation data inside Claude, ChatGPT, and Cursor ^[111].

Main limitations. Public documentation does not fully explain citation collection, attribution, deduplication, sampling, or share-of-citation calculations ^[108]. Claude, Gemini, and Microsoft Copilot are described as available on request, so standard-plan coverage may be narrower than the total platform list ^[106]. Historical-retention depth and historical export capabilities are not clearly published ^[112]. The platform is built primarily for single-brand management with no white-label or guest access ^[113]. Credit consumption adds variable cost beyond the base subscription ^[114].

Pricing or cost summary. Growth is €79/month with 25 prompts and 150 monthly credits; Pro is €279/month with 100 prompts and 600 credits; Enterprise starts from €499/month with 1,500+ credits ^[106]. Additional credit packs are listed at €10 for 150 credits, €50 for 750 credits, and €100 for 1,500 credits ^[106]. A 14-day free trial is advertised ^[106].

Where platforms disagreed. Kimi rated Omnia uncertain, reporting the official website did not resolve and no independent sources confirmed the product ^[115].

10. Indexly

Questions This Section Answers

• Is Indexly worth it for citation share, and what are its main limitations?
• Which Indexly plan includes API access and white-labeling, and what does the Starter plan cost?

Indexly was named by 2 of 7 platforms and holds an average listed position of 4.50. It is the most feature-bundled option in this index, combining citation tracking with content agents, AI traffic attribution, and traditional SEO tooling.

Why it ranked here. Indexly counts every citation URL returned by an AI assistant and groups them by page on a domain, showing daily citation counts per URL broken down by AI model ^[116]. It tracks citation share, citation gaps, and per-page citation counts across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews ^[118]. The platform surfaces the exact competitor URLs AI is leaning on ^[119].

Best suited for. US brands and agencies needing a unified view across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews; teams prioritizing citation-share trends, competitor source gaps, and cited-page diagnostics; buyers wanting citation intelligence combined with AI-readiness audits, content workflows, and AI-referral analytics ^[120].

Main strengths for this use case. Direct focus on citation share rather than only brand mentions ^[121]; reported domain-, URL-, engine-, competitor-, and prompt-level views ^[122]; daily monitoring and historical trend claims ^[123]; and GEO-optimized content agents that write content for blogs, social posts, and external placements ^[124].

Main limitations. Public evidence is primarily vendor-owned marketing material ^[122]. Sampling design, prompt randomization, location settings, answer-capture procedure, deduplication, and citation-share denominator are not sufficiently documented publicly ^[122]. Plan pages contain inconsistent descriptions of model and prompt coverage ^[125]. API access and data exports are restricted to the Scale tier ^[126]. There is no free tier, with paid plans beginning at $99/month ^[127].

Pricing or cost summary. Starter is $99/month, Growth is $299/month, and Scale is $499/month, with annual billing advertised as 17% discounted ^[128]. Agency materials separately list à-la-carte pricing of $99 per client per month for AI Audit + AI Visibility, $99 for Content Agents, $49 for Social Agents, and $49 for AI Traffic Attribution ^[129].

Where platforms disagreed. DeepSeek rated Indexly uncertain, finding no verified documentation for domain- and URL-level citation data, competitor comparisons, or historical tracking ^[130].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does this 7-platform study reveal about how AI citation-share platforms differ in coverage and pricing?
• Which citation-share platform capabilities are most consistently described across AI platforms?

Three patterns emerge from the 10 qualifying entities.

First, citation-share intelligence is consolidating around a small set of capabilities: domain- and URL-level citation data, competitor citation-gap analysis, platform-by-platform breakdowns, and historical trend tracking. Every qualifying entity claims at least three of these, and the top five claim all four.

Second, pricing models diverge sharply. Profound, OtterlyAI, Peec AI, Scrunch AI, SE Ranking, LLM Pulse, Omnia, and Indexly all publish self-serve tiers, while Semrush and Ahrefs layer AI visibility on top of an existing SEO subscription. Entry points range from $29/month (OtterlyAI Lite) to $250/month (Scrunch AI Core), with LLM Pulse at €49/month and Omnia at €79/month ^[131].

Third, engine coverage is the most common gating mechanism.

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI citation-share platforms did all 7 AI platforms agree on?

All 7 platforms named Profound and OtterlyAI, making them the only two entities with 100% platform share. Both were consistently described as citation-share platforms with domain- and URL-level source analysis, competitor comparisons, and historical tracking.

Six platforms named Semrush, and five named Ahrefs and Peec AI. Four named Scrunch AI. Three named SE Ranking. Two named LLM Pulse, Omnia, and Indexly.

Platforms broadly agreed that Profound is the strongest fit for enterprise citation-share programs with governance requirements, and that OtterlyAI is the strongest low-cost self-serve option. They also agreed that Semrush and Ahrefs are best evaluated as AI-visibility layers on top of an existing SEO workflow rather than as standalone citation-share systems.

Platforms agreed that citation-share measurement is observational and platform-dependent, and that results should not be interpreted as guaranteed traffic, revenue, or complete market coverage.

Where the AI Platforms Disagreed

Questions This Section Answers

• Where did the AI platforms disagree about citation-share platforms, and what should a buyer verify as a result?

Disagreements clustered in four areas.

Verification failures. Kimi rated Profound, OtterlyAI, Peec AI, Scrunch AI, Omnia, and LLM Pulse uncertain because it could not retrieve or verify their official websites or public documentation ^[135]. DeepSeek rated Peec AI, Omnia, and Indexly uncertain for similar reasons ^[141]. Other platforms rated the same entities good or strong.

Pricing conflicts. Profound's Growth tier was reported at both $399/month and approximately $299/month ^[144]. OtterlyAI's entry pricing was reported at $29/month officially and approximately $95/month in some third-party listings ^[146]. Ahrefs publishes two different Brand Radar entry prices on different pages ^[148]. Indexly's entry price was reported at $99/month officially and $49/month in some marketing materials ^[149].

Engine coverage disputes. Semrush documentation lists Perplexity as active, while mid-2026 independent reviews describe it as rolling out or limited ^[151].

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI citation-share platform?
• Which citation-share platform has the lowest published cost, and what fees apply beyond the base plan?

Start with the citation granularity the buyer actually needs. If the requirement is domain- and URL-level citation data with competitor gap analysis, Profound, OtterlyAI, Peec AI, Scrunch AI, LLM Pulse, Omnia, and Indexly all claim it. If the requirement is citation share connected to an existing SEO workflow, Semrush and Ahrefs are the natural fits.

Then check engine coverage against the buyer's audience. Profound's self-serve tiers cover ChatGPT only at Starter and three engines at Growth ^[152]. OtterlyAI includes four engines in base plans and sells Google AI Mode, Gemini, and Claude as add-ons ^[153]. Semrush covers four engines in the toolkit and reserves Claude, Copilot, and DeepSeek for Enterprise AIO ^[155]. Peec AI lists six engines but caps self-serve tiers at three selectable models ^[156].

Then model total cost, not headline price. OtterlyAI's $29 Lite tier covers only 15 prompts, and additional 100-prompt packs cost $99/month ^[158].

Methodology

This index was produced from a single standardized prompt sent once to each of 7 AI platforms on 2026-09-18: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google. The prompt asked which AI search intelligence platforms the platform would recommend for a company wanting to understand its share of AI citations relative to competitors and publishers across commercially important prompts, with domain- and URL-level citation data, competitor comparisons, platform differences, citation architecture analysis, source trends, and historical tracking.

Each platform's response was parsed for named entities. Entities named by at least two platforms qualified for the final ranking. The ranking order is based on platform mentions, then average listed rank, then best listed rank. The final ranking table is the sole authority for rank, platform mentions, platform share, average rank, and best rank.

Each qualifying entity was then researched across the same 7 platforms to produce an evidence bundle covering fit assessment, use-case findings, pricing and terms, strengths, limitations, alternatives, factual conflicts, verification questions, and a final verdict. The entity evidence bundles are the authority for buyer fit, features, pricing, strengths, limitations, and disagreements.

Platform mentions count only ranking-discovery mentions. They do not represent the number of platforms that later completed a fit assessment.

Methodology Limitations

This study used one standardized prompt sent once to each included platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A single run cannot capture that variance.

Platform recommendations are market intelligence, not independent customer reviews or proof of quality. A platform naming an entity does not mean the platform tested, endorsed, or verified that entity.

Company-owned citations materially outnumber independent citations across the evidence bundles. Most detailed capability claims trace to vendor documentation and marketing material, and should be treated as platform-reported rather than independently verified.

Platform-reported research dates differ from the authoritative run date for several entities. DeepSeek's research date was 2026-01-15 for OtterlyAI and Ahrefs, 2026-06-12 for Semrush, 2026-02-16 for Scrunch AI, 2026-02-05 for SE Ranking, 2025-10-01 for LLM Pulse, 2026-02-10 for Omnia, and 2026-06-11 for Indexly. These dates are provenance metadata and do not independently prove freshness.

The URLs in the source catalog were collected from platform responses and were not independently validated by either writer stage. Official-site retrieval failed for several entities, and identity normalization flagged unresolved conflicts for Profound, Ahrefs, Scrunch AI, and Peec AI.

Several entities had conflicting product names, plan labels, or pricing across sources.

Final Verdict

Profound is the consensus leader for AI Search Intelligence Platforms for Citation Share in this 7-platform study, named by all 7 platforms with the best average listed position among high-mention entities. It is the strongest fit for enterprise and mid-market teams whose primary requirement is AI citation-share intelligence with competitor, source, platform, and historical analysis, though Growth is limited to three engines and Claude and Gemini require Enterprise pricing.

OtterlyAI is the strongest low-cost alternative, with public pricing from $29/month, four engines included in base plans, and daily URL-level citation checks. Semrush and Ahrefs are best for teams that want citation share connected to an existing SEO workflow, with the caveat that both layer AI visibility on top of a base subscription and reserve key engines for higher tiers.

Peec AI, Scrunch AI, SE Ranking, LLM Pulse, Omnia, and Indexly each serve narrower buyer needs: transparent mid-market pricing, URL-level citation intelligence with bot analytics, affordable SEO-suite integration, euro-denominated pricing with MCP access, action-oriented citation intelligence, and unified multi-engine tracking with content agents, respectively.

Buyers should treat every pricing figure, engine count, and methodology claim in this index as a verification item rather than a settled fact.