Best AI Visibility Platforms for Competitor Citation Analysis

Answer Capsule

Profound is the consensus leader for competitor citation analysis, named by all seven platforms studied (100.0% share, average listed position 2.57, best position 1). It is the only entity in this index with unanimous platform mentions, and platforms consistently describe it as the enterprise-oriented option for cited-URL tracking, citation-share benchmarking, and source-authority analysis. OtterlyAI (5 mentions, 71.4%) is the strongest lower-cost alternative for teams that need published self-serve pricing and daily monitoring across four core engines. Peec AI (4 mentions, 57.1%) and Semrush (4 mentions, 57.1%) serve buyers who want citation gap analysis or an AI visibility layer inside an existing SEO suite, respectively. The principal limitation is methodological: this study used one standardized prompt sent once to each of seven AI platforms, and platform answers vary by date, wording, location, account state, model, interface, browsing configuration, and retrieved sources. Platform recommendations are market intelligence, not independent customer reviews or proof of quality.

Research Snapshot

• Topic: Best AI visibility and LLM monitoring platforms for competitor citation analysis
• Target buyer: Companies seeking AI visibility platforms for competitor citation analysis across AI search, generative-answer, and recommendation platforms
• Use case: Identifying which domains and pages are cited for each brand, which sources appear to influence recommendations, how competitor citation architecture differs from the buyer's own, and where source or authority gaps exist
• Geography: United States
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google
• Research date: 2026-09-19
• Unique entities named across platforms: 35
• Qualifying entities: 7
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking rule: Platform mentions, then average listed rank, then best listed rank

Platform-reported research dates differ from the authoritative run date for some platforms (deepseek reported 2026-02-14 for Profound and Semrush, 2026-01-15 for OtterlyAI and Peec AI, 2026-06-11 for Ahrefs, 2026-06-04 for Scrunch AI, and 2026-01-15 for Omnia; anthropic reported 2026-01-10 for Omnia). These are provenance metadata and do not independently prove freshness.

The Consensus Ranking

Questions This Section Answers

• What are the best AI visibility platforms for competitor citation analysis in 2026?
• Which competitor citation analysis platform was named by the most AI platforms in this study?
• Which AI visibility platforms qualify for a shortlist if a buyer requires at least two independent platform mentions?

The table below is the authoritative ranking for this study. Platform mentions count only ranking-discovery mentions, not the number of platforms that later completed a fit assessment.

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

Questions This Section Answers

• Which AI visibility platform should a buyer choose for competitor citation analysis if they need published self-serve pricing?
• Which platform is best for competitor citation analysis when the buyer already pays for an SEO suite?
• Which AI visibility platform should an agency choose for multi-brand competitor citation analysis?

1. Profound

Questions This Section Answers

• Is Profound worth it for competitor citation analysis, and what are its main drawbacks?
• Which Profound plan does a buyer need for multi-engine competitor citation analysis?
• What should a buyer verify before choosing Profound for competitor citation analysis?

Profound is the consensus leader in this study and the only entity named by all seven platforms. Platforms consistently describe it as the enterprise-oriented option whose Answer Engine Insights product maps directly to competitor citation analysis: cited-URL visibility, competitor citation classification, citation share by platform, topic, and prompt, and publisher and author analysis relevant to source-authority gaps ^[1]. The Profound fit review covers the full evidence bundle.

Why it ranked here. Profound received 7 platform mentions (100.0% share) with an average listed position of 2.57 and a best position of 1. It was ranked first by deepseek, google, openai, and perplexity, second by grok, third by anthropic, and ninth by kimi. No other entity in this index achieved unanimous platform mentions.

Best suited for. Large companies tracking many brands, competitors, prompts, markets, and AI answer engines; SEO, AEO, content, PR, and communications teams needing page- and source-level competitor citation intelligence; buyers needing historical monitoring, exports, workflow integration, and enterprise governance ^[1].

Main strengths for the use case. Profound states that Answer Engine Insights displays cited URLs for monitored prompts, including competitor domains, and allows cited sources to be classified and filtered as Competitor ^[1]. The product reports citation share by platform, topic, and prompt, supporting comparisons between a buyer's domain and competitor domains ^[3]. It identifies source categories, frequently cited publishers and authors, and third-party sources that carry citation influence in a category ^[4]. Page-level analysis covers individual cited-URL visibility, watched pages, and changes in citation volume over time ^[6]. Citation data can be exported as CSV or JSON and connected to Profound Agents ^[1]. Anthropic-reported evidence also describes a Prompt Volumes dataset sourced from real user conversations rather than synthetic queries ^[7].

Main limitations. Public pricing and plan entitlements are insufficiently transparent, and the exact current engine, model, geography, prompt-volume, and retention limits are unclear ^[1]. Anthropic-reported evidence states that the Starter plan is limited to ChatGPT only and that true multi-engine competitor analysis requires the Growth plan minimum ^[8]. Competitive benchmarking reflects only the prompts a buyer configures, so competitors cited on untracked queries remain invisible ^[9]. AI engines internally decompose prompts into 8–12 parallel sub-queries, and Profound tracks the surface-level response rather than sub-query branches ^[10]. Profound is a monitoring and diagnostic platform and does not push fixes to CMS, source backlinks, or execute technical SEO changes ^[11]. It does not support multi-account management; one workspace per account ^[12]. Agent Analytics requires CDN integration, with limitations for certain hosting platforms ^[13]. Independent research argues that point estimates of citation share should be treated as uncertain rather than fixed ^[14].

Pricing or cost summary. Pricing evidence conflicts materially across platforms. Anthropic-reported evidence lists Starter at $99/month (ChatGPT only, 50 prompts, 1,500 responses/month, one seat), Growth at $399/month (three answer engines, 100 prompts, 9,000 responses/month, three seats), and Enterprise at custom pricing typically $2,000–$5,000+/month ^[8]. Perplexity-reported evidence describes the same Starter and Growth figures but with moderate confidence because they came mainly from third-party pricing reviews ^[15].

2. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for competitor citation analysis on the Lite plan, or does a buyer need Standard?
• Which AI engines does OtterlyAI include by default, and which cost extra for competitor citation analysis?
• What is the all-in monthly cost of OtterlyAI for full multi-engine competitor citation tracking?

OtterlyAI is the strongest lower-cost alternative in this index, named by five platforms. Platforms describe it as a purpose-built AI search monitoring tool with a Citations Report that parses cited URLs from AI responses, ranks domains by citation frequency, identifies which URLs name the buyer's brand versus competitors, and segments citations by source category ^[16]. The OtterlyAI fit review covers the full evidence bundle.

Why it ranked here. OtterlyAI received 5 platform mentions (71.4% share) with an average listed position of 5.20 and a best position of 3. It was ranked third by grok, fourth by deepseek and perplexity, fifth by openai, and tenth by google. It was not named by anthropic or kimi during ranking discovery.

Best suited for. US marketing teams monitoring a defined set of commercial prompts and competitors; teams comparing brand and competitor mentions, cited domains, cited URLs, rankings, sentiment, and coverage over time; buyers needing daily monitoring across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot, with additional engines available as add-ons ^[18].

Main strengths for the use case. OtterlyAI states that it captures cited URLs, identifies whether a citation names the tracked brand or a rival, and compares competitor visibility, with reporting that includes domain sources, total citations, competitor-versus-owned domain coverage, and citation trends ^[19]. A July 2026 product update describes a citation-details view, winner/loser analysis, and bookmarkable URLs ^[20]. The platform provides competitive benchmarking and a gap analyzer for prompts where competitors are named and the buyer is not ^[21]. It tracks 50+ countries and languages, enabling country-level competitor citation analysis ^[22]. Prompts can be assigned to a country and queried from that country's context ^[23]. The AI Search Analytics page lists PDF and CSV reports, API and MCP access, and a Looker Studio connector, with API/MCP associated with Standard or higher tiers ^[18].

Main limitations. Lite has only 15 search prompts and one workspace, which may be insufficient for multiple competitors, product categories, funnel stages, and US market segments ^[18]. Core plan coverage is limited to four engines; Google AI Mode, Gemini, and Claude require add-ons ^[24]. The platform measures observed citations and mentions; the reviewed evidence does not establish causal influence, conversion attribution, or statistically representative market share ^[19]. OtterlyAI shows whether a brand was cited but does not provide traffic attribution, described in independent reviews as the single most requested missing feature ^[25]. Multiple reviewers report sentiment features are inaccessible or unreliable in practice ^[26]. Data latency of 24–48 hours means missed real-time competitive citation shifts ^[27]. The platform does not cover Chinese AI platforms such as Doubao or Qwen ^[28].

Pricing or cost summary. The official pricing page lists Lite at $29/month, Standard at $189/month, and Premium at $489/month, with annualized monthly-equivalent pricing of $25, $160, and $422 described as 15% off [e2:official:C2]. Additional 100 prompts cost $99. Add-ons shown by the pricing calculator include Google AI Mode at $9/month, Gemini at $9/month, and Claude at $29/month on Lite, rising to $149 and $439 respectively on Premium [e2:official:C2].

3. Peec AI

Questions This Section Answers

• Is Peec AI better than OtterlyAI for competitor citation gap analysis when source-type classification matters?
• How many AI models does Peec AI include on self-serve plans for competitor citation analysis?
• What does Peec AI cost per month for competitor citation analysis, and what do extra models add?

Peec AI is the highest-average-position entity in this index at 2.50, tied with the best position of 1, but it was named by only four platforms. Platforms describe it as a citation-analytics product that identifies which domains and pages are cited for each brand, segregates competitor sources from owned content, and surfaces gap scores showing where competitors are cited but the buyer is not ^[29]. The Peec AI fit review covers the full evidence bundle.

Why it ranked here. Peec AI received 4 platform mentions (57.1% share) with an average listed position of 2.50 and a best position of 1. It was ranked first by grok and third by deepseek, google, and perplexity. It was not named by openai, anthropic, or kimi during ranking discovery.

Best suited for. SEO, content, and brand teams comparing their AI visibility with named competitors; buyers needing domains and URLs cited for tracked prompts; organizations seeking sources that mention competitors but not their own brand ^[30].

Main strengths for the use case. Peec AI reports side-by-side visibility, average position, sentiment, and share-of-voice comparisons against competitors by AI engine ^[31]. It reports the most-cited sources for tracked prompts and provides domain- and URL-level source analytics, including citation share ^[32]. Gap analysis covers sources that frequently mention competitors but not the buyer, broken down by source, domain, subdomain, URL, and host ^[29]. Source-type clustering covers owned pages, editorial/PR, corporate/partnerships, reference sites, review platforms, and UGC communities, with URL-level classification of page types ^[33]. The platform monitors citation drift, reporting that Google AI Overviews shows 59.3% citation drift monthly, ChatGPT 54.1%, Microsoft Copilot 53.4%, and Perplexity 40.5% ^[34]. It uses UI scraping to simulate logged-out user sessions rather than relying only on official APIs ^[35].

Main limitations. Self-serve plans restrict buyers to three active models from a core pool, with additional engines requiring monthly add-ons or a custom Enterprise contract ^[36]. Peec AI is a monitoring and diagnostic tool only; it does not execute optimization, build authority, write content, or provide ROI attribution ^[37]. It does not connect AI visibility to website visits, leads, or closed deals ^[38]. New sites with zero existing AI visibility may see mostly empty dashboards for several weeks ^[39]. UI scraping introduces fragility when AI platforms push interface updates ^[40]. Core engines are UI-scraped while Enterprise models are API-accessed, and comparability across the two methods is not publicly documented ^[41]. AI models only read HTML content, so paywalled or JavaScript-dependent sources are invisible to analysis ^[39]. API access is limited to the Enterprise tier ^[42].

Pricing or cost summary. Anthropic-reported evidence lists Starter at $95/month (50 prompts, 3 models), Pro at $245/month (150 prompts, 3 models), and Advanced at $495/month (350 prompts, 3 models), with additional model add-ons of $30/month on Starter, $70/month on Pro, and $140/month on Advanced per engine ^[43]. Google-reported evidence confirms $95/$245/$495 with the same add-on structure and notes annual billing discounts of approximately 15% ^[45].

4. Semrush

Questions This Section Answers

• Is Semrush good enough for competitor citation analysis, or should a buyer add a dedicated AI visibility platform?
• What does Semrush's AI Visibility Toolkit cost per domain, and what extra fees apply at scale?
• Which AI platforms does Semrush track for competitor citation analysis, and which are excluded?

Semrush ranks fourth with four platform mentions and the second-best average listed position among the four-mention entities at 3.75. Platforms describe its AI Visibility Toolkit as providing structured competitor benchmarking, cited-page mapping, and a "Missing" citation filter that isolates third-party domains citing competitors but not the buyer ^[46]. The Semrush fit review covers the full evidence bundle.

Why it ranked here. Semrush received 4 platform mentions (57.1% share) with an average listed position of 3.75 and a best position of 2. It was ranked second by deepseek and perplexity, fourth by openai, and seventh by google. It was not named by anthropic, grok, or kimi during ranking discovery.

Best suited for. SEO and content teams already using Semrush; companies comparing their brand with up to four competitors; buyers prioritizing cited domains, cited pages, prompt gaps, share of voice, and recurring reporting ^[47].

Main strengths for the use case. The Competitor Research report compares a domain with up to four competitor domains and reports competitor mentions, citations, topic coverage, visibility gaps, and prompts where competitors are cited but the buyer is absent ^[47]. Visibility Overview exposes mentions, cited pages, and citations, while Brand Performance's Narrative Drivers report shows citation visibility and the domains that contribute to brand representation ^[48]. The toolkit provides specific metrics including Citations (total AI responses citing the domain), Cited Sources (authoritative websites referenced by the AI), and Cited Pages (individual URLs cited in generative answers) ^[49]. Semrush states that its core AI Analysis reports use a prompt database exceeding 317 million prompts and responses, covering 117 regional databases, with daily rolling updates captured from real requests rather than LLM APIs ^[50]. The toolkit includes AI Search Checks in Site Audit for up to 100 pages, pairing citation research with technical checks that may block AI crawlers ^[51].

Main limitations. Platform coverage is narrower or report-dependent compared with specialist tools, and public documentation does not establish a robust causal model showing which sources influence a recommendation ^[52]. Base limits may be restrictive for multi-brand, multi-country, or agency-scale programs: one folder, one analyzed domain, 25 tracked prompts, and capped daily reports ^[53]. Pricing scales aggressively: $99/month per domain plus $99/month per user plus $60/month per 50-prompt overage means real costs quickly exceed $200–$1,000+/month for multi-client agencies ^[54]. The toolkit does not track Claude, Reddit, or other emerging LLMs, and has no AI-bot log analytics for crawler-level visibility ^[55]. Exports are capped at 1,000 rows and 10 per day ^[56]. One independent review noted the toolkit sometimes confuses brand names with common words, reducing insight precision ^[57]. Answer snapshots render as raw text walls, requiring manual reading to locate brand mentions ^[58]. No free trial is offered for the standalone AI Visibility Toolkit ^[59]. .

5. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth the all-in cost for competitor citation analysis compared with dedicated AI visibility tools?
• Which AI platforms does Ahrefs Brand Radar cover for competitor citation analysis, and which are missing?
• How often does Ahrefs Brand Radar refresh citation data for competitor monitoring?

Ahrefs ranks fifth with four platform mentions but the lowest average listed position in this index at 6.00. Platforms describe Brand Radar as exposing cited pages, cited domains, citation-containing queries, AI responses, and competitor citation gaps, with integration into Ahrefs' backlink and traffic data ^[60]. The Ahrefs fit review covers the full evidence bundle.

Why it ranked here. Ahrefs received 4 platform mentions (57.1% share) with an average listed position of 6.00 and a best position of 3. It was ranked third by openai, fifth by perplexity, seventh by deepseek, and ninth by google. It was not named by anthropic, grok, or kimi during ranking discovery.

Best suited for. SEO-led teams that also need AI citation, competitor, content-gap, and authority analysis; companies comparing their domain and pages with multiple competitor domains across major AI answer platforms; organizations that value a large search-backed prompt corpus and integration with Ahrefs SEO data ^[62].

Main strengths for the use case. Brand Radar supports side-by-side comparison of brand mentions, citations, estimated impressions, and AI Share of Voice, including platform-level breakdowns and competitor suggestions ^[62]. The product exposes cited pages, cited domains, citation-containing queries, AI responses, and competitor citation gaps, and its 2026 reporting distinguishes pages found in responses from pages actually cited and shows citation position over time ^[63]. Cited-domain and cited-page reports separate owned, competitor, media, community, review, marketplace, and documentation sources ^[60]. Integration with Ahrefs' backlink and traffic data enables one-click analysis of cited source authority, including backlink profile, organic traffic, and domain authority ^[61]. Ahrefs states that Brand Radar runs large volumes of questions based on Ahrefs keyword data, People Also Ask, and semantic expansion, with many chatbot indexes using a 90-day reporting window and monthly question-set updates ^[65].

Main limitations. The platform measures modeled or sampled visibility rather than actual AI-user exposure, clicks, conversions, or revenue ^[66]. Prompts are synthetic or search-backed rather than actual private user queries, and Ahrefs states that prompts run through public interfaces without stored user context or personalization ^[65]. Several chatbot indexes refresh monthly and use a 90-day reporting window, which may be too slow for rapid monitoring ^[67]. Ahrefs does not natively track Claude or Grok, with Claude available only via custom-prompt access and Grok data collection possibly paused ^[68]. All-in cost is material for smaller teams, especially when combining all-platform access, base plans, custom prompts, and overages ^[70]. Independent evaluations note potential data discrepancies where Brand Radar's snapshot-based collection and monthly chatbot updates missed actual mentions, reporting 3 ChatGPT mentions versus 123 actual in one third-party test ^[71]. Brand Radar provides visibility data and citation lists but limited direction on how to close authority gaps ^[72].

Pricing or cost summary. Official Ahrefs materials list Brand Radar single-platform access at $199/month per index and all-platform access at $699/month, with the all-platform option including 2,500 custom prompt checks per month ^[73].

6. Scrunch AI

Questions This Section Answers

• Is Scrunch AI worth it for competitor citation analysis if a buyer needs page-level citation ownership and influence scoring?
• Which AI platforms does Scrunch AI cover on Core versus Enterprise for competitor citation analysis?
• What should a buyer verify about Scrunch AI pricing before committing to competitor citation analysis?

Scrunch AI ranks sixth with three platform mentions but the second-best average listed position among all entities at 4.33. Platforms describe it as providing prompt-level and model-level competitor visibility, cited domains and URLs, citation ownership analysis, competitor comparisons, and source-influence metrics ^[74]. The Scrunch AI fit review covers the full evidence bundle.

Why it ranked here. Scrunch AI received 3 platform mentions (42.9% share) with an average listed position of 4.33 and a best position of 2. It was ranked second by openai, fifth by anthropic, and sixth by perplexity. It was not named by deepseek, grok, kimi, or google during ranking discovery.

Best suited for. Companies comparing their brand with named and automatically suggested competitors across AI answer platforms; teams needing cited domains, individual cited pages, citation ownership, citation consistency, and source influence metrics; enterprise marketing, SEO, content, and communications teams requiring custom prompts, multiple brands or regions, API access, and dedicated support ^[74].

Main strengths for the use case. The Citations dashboard is designed to show the domains and webpage URLs cited in tracked AI responses, including top cited domains, citation owners, total citations, unique prompt counts, citation consistency, and an Influence Score ^[74]. Scrunch distinguishes brand, competitor, third-party, and social citations and supports filtering by citation owner, platform, topic, timeframe, persona, funnel stage, country, and prompt tags ^[75]. The platform reports an Influence Score for cited sources and identifies which competitor and third-party webpages are most influential in tracked AI responses ^[76]. It reports automated detection of competitive gaps, meaningful visibility changes, missing content, and recommended actions ^[77]. Scrunch holds SOC 2 Type II certification, described in one comparison as the only citation tracking tool at that compliance level ^[78]. It separates named mentions in answers from buried citations in references and reports this distinction per prompt ^[79].

Main limitations. Core limits the buyer to five competitors, 125 unique prompts, one workspace, and four listed AI platforms ^[80]. Enterprise pricing and usage limits are undisclosed, making total cost difficult to estimate ^[80]. Influence Score is a proprietary descriptive metric and does not establish causal influence on model recommendations ^[76]. Citation and page classification can be affected by bot blocking, JavaScript rendering, and retrieval errors ^[81]. Public evidence reviewed was primarily Scrunch-owned, and independent validation of accuracy, coverage, and customer outcomes was not identified ^[74]. Actionable insights remain in beta, and users report insights are too vague without additional expertise ^[82]. Citations are not broken down by content type, limiting actionability ^[83]. Data updates every three days, with some reviews reporting weekly updates ^[84]. The platform does not provide search-volume data for tracked prompts ^[86].

Pricing or cost summary. The current official pricing page lists Core at $250 per month for brands and Enterprise at custom pricing, with Agency Core at $500 per month ^[80]. Core includes 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four listed AI platforms ^[80].

7. Omnia

Questions This Section Answers

• Is Omnia worth it for competitor citation analysis given that only two platforms named it?
• What does Omnia's Pro plan cost per month for competitor citation analysis, and what limits apply?
• Which AI engines does Omnia include by default for competitor citation tracking, and which require a request?

Omnia ranks seventh with two platform mentions but the best average listed position in this index at 1.50. Platforms describe it as providing prompt-, country-, engine-, domain-, and URL-level competitor citation analysis with an execution layer for turning citation gaps into content or outreach actions ^[88]. The Omnia fit review covers the full evidence bundle.

Why it ranked here. Omnia received 2 platform mentions (28.6% share) with an average listed position of 1.50 and a best position of 1. It was ranked first by anthropic and second by google. It was not named by openai, deepseek, grok, perplexity, or kimi during ranking discovery. Its high average position reflects only two data points.

Best suited for. Marketing, SEO, content, and agency teams benchmarking competitor citations across multiple AI answer engines; buyers needing exact cited domains and URLs, competitor comparisons, localized monitoring, and prioritized actions rather than only a visibility score; teams that value API or MCP access and ongoing monitoring ^[88].

Main strengths for the use case. Omnia states that it identifies competitor citations at both domain and URL level and surfaces the prompts where competitors win citation slots ^[88]. It tracks which specific URLs and domains AI engines cite for each prompt, classified by page type (owned, third-party, social) and order of prominence ^[89]. The platform simulates real user behavior through actual browser sessions in specific geographic locations rather than relying solely on API access ^[89]. It reports citation share-of-voice metrics, weekly deltas tracking citation shifts, and competitor citation architecture comparison ^[90]. Omnia documentation states that its API exposes brand performance, share of voice, citations, sentiment, and related data, while its MCP server connects the data to assistants such as Claude, Cursor, and ChatGPT ^[91]. The action layer converts citation gaps into content briefs, placement targets, and technical fixes ^[92]. Pro includes CSV, XLSX, and PDF export capabilities ^[93].

Main limitations. Most supporting evidence is company-owned, and no independent source was located that validates Omnia's citation accuracy, coverage, or comparative performance ^[88]. The Pro plan's exact engine coverage and access to Claude, Gemini, and Copilot require confirmation because public materials describe some engines as on-request or add-on coverage ^[94]. Public materials do not fully explain sampling, prompt generation, browser-session reproducibility, citation deduplication, confidence scoring, or how recommendation influence is inferred ^[88]. Public pricing is in euros and does not clearly disclose taxes, US billing terms, overages, or all add-on costs ^[94]. Sentiment analysis is listed as available on Pro but marked "coming soon" on the pricing page with no confirmed delivery date ^[95]. Pro supports monitoring up to 100 prompts; organizations tracking 200+ prompts would require Enterprise pricing ^[93]. The platform does not explicitly provide domain authority or source credibility scoring ^[93]. Brand and product naming is inconsistent across public pages, with the pricing page also referring to Omnio as an AI visibility agent ^[94].

Pricing or cost summary. The public pricing page lists Growth at €79/month, Pro at €279/month, and Enterprise from €499/month, with annual billing described as saving 20% [e7:official:C2].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does a 7-platform AI consensus study reveal about how competitor citation analysis platforms differ?
• Which competitor citation analysis capabilities do AI platforms consistently describe across vendors?

Three patterns dominate this study. First, cited-URL and cited-domain granularity is the defining capability of the category. Every qualifying entity is described by at least one platform as exposing which specific pages and domains AI engines cite, not just brand mentions ^[96]. Second, source classification and gap analysis separate the leaders from the followers. Profound, Peec AI, Semrush, Ahrefs, and Scrunch AI are all described as classifying cited sources by ownership type and surfacing where competitors are cited but the buyer is not ^[103]. Third, monitoring-only scope is the norm. Only Omnia is described as combining citation analysis with an execution layer that generates content briefs and placement targets ^[107]; Profound, Peec AI, and Semrush are explicitly described as diagnostic rather than execution platforms ^[108].

A fourth pattern is pricing opacity at the enterprise tier. Profound, Scrunch AI, and Omnia all have undisclosed or conflicting enterprise pricing, while OtterlyAI, Peec AI, Semrush, and Ahrefs publish at least some self-serve figures ^[96][e2:official:C2]^[111][e7:official:C2].

Where the AI Platforms Agreed

Questions This Section Answers

• Which competitor citation analysis platform do AI platforms agree is the enterprise leader?
• What capabilities do AI platforms agree matter most for competitor citation analysis?

Platforms agreed on several points. Profound is the only entity named by all seven platforms, and platforms consistently describe it as the enterprise-oriented option for cited-URL tracking, citation-share benchmarking, and source-authority analysis ^[115]. Platforms also agreed that cited-URL and cited-domain visibility is the core requirement of the use case, and that most tools in this category are monitoring and diagnostic rather than execution platforms. Multiple platforms independently noted that AI answers vary by personalization, location, account settings, and session, and that citation metrics should be treated as monitoring indicators rather than causal proof ^[119].

Where the AI Platforms Disagreed

Questions This Section Answers

• Why did AI platforms disagree about whether Profound, Peec AI, Scrunch AI, and Omnia are legitimate competitor citation analysis platforms?
• Which competitor citation analysis platforms had the widest fit-rating disagreement across AI platforms?

Disagreement was substantial and concentrated in fit ratings. Profound received fit ratings of strong (openai), good (anthropic, google, grok, perplexity), mixed (deepseek), and uncertain (kimi). Kimi reported that no source it visited independently confirmed Profound operating as an AI visibility platform and that the official website appeared focused on market research ^[123]. Peec AI received strong (openai), good (anthropic, google, grok, perplexity), and uncertain (deepseek, kimi) ratings, with deepseek citing a failed official-site retrieval and an unverified reported domain ^[124]. Scrunch AI received strong (openai, google, grok), good (anthropic, perplexity), and uncertain (deepseek, kimi) ratings, with kimi describing it as an influencer marketing platform rather than an AI visibility tool ^[125]. Omnia received strong (anthropic, google, grok), good (openai, perplexity), and uncertain (deepseek, kimi) ratings, with kimi reporting that the website appeared inaccessible during its research ^[126].

Pricing conflicts were also widespread. Profound's plan structure conflicts across platforms, with google reporting that the $99 and $399 self-serve tiers were removed in mid-September 2026 while anthropic and perplexity describe them as current ^[127]. Scrunch AI's plan names and prices conflict across its own pages ^[130]. Ahrefs publishes two different Brand Radar entry prices ^[131]. Peec AI's pricing conflicts across sources on currency and plan names ^[132].

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI visibility platform for competitor citation analysis?
• Which competitor citation analysis platform has the lowest published entry cost, and what fees apply?

Start with the decision that constrains everything else: whether the buyer needs enterprise governance or self-serve transparency. Buyers who need SSO, SOC 2, multi-brand workspaces, API access, and dedicated support should evaluate Profound, Scrunch AI, and Ahrefs, accepting that enterprise pricing is quote-based and requires a sales process ^[134]. Buyers who need published pricing and instant onboarding should evaluate OtterlyAI, Peec AI, Semrush, and Omnia, accepting narrower engine coverage or prompt caps [e2:official:C2]^[137][e7:official:C2].

Second, verify engine coverage against the buyer's actual competitor set. OtterlyAI includes four engines by default with Claude, Gemini, and Google AI Mode as add-ons ^[139]. Peec AI caps self-serve plans at three models ^[140]. Semrush does not track Claude or Reddit ^[141]. Ahrefs does not natively track Claude or Grok ^[142]. Scrunch AI covers four engines on Core and nine on Enterprise ^[135]. Omnia covers four engines by default with three more on request ^[143].

Third, verify prompt volume and overage economics. OtterlyAI's Lite is capped at 15 prompts with overages at $99 per 100 prompts [e2:official:C2]. Peec AI's Starter includes 50 prompts ^[137]. Semrush's Base includes 25 tracked prompts with overages at $60 per 50 prompts ^[144]. Ahrefs includes 2,500 custom prompt checks on the all-platform tier with overage rates from $0.010 to $0.020 per check ^[136]. Scrunch AI's Core includes 125 prompts ^[135].

Methodology

This study used one standardized prompt sent once to each of seven included AI platforms: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI visibility platforms would be recommended for competitor citation analysis and why. The research date was 2026-09-19. Thirty-five unique entities were named across platforms, and seven qualified for this index by being named by at least two platforms during ranking discovery.

The ranking order is based on platform mentions, then average listed rank, then best listed rank. Platform mentions count only ranking-discovery mentions, not the number of platforms that later completed a fit assessment. The final ranking table is the sole authority for rank, platform mentions, platform share, average rank, and best rank.

Entity evidence bundles were the authority for buyer fit, features, pricing, strengths, limitations, disagreements, and citations. Citations are platform-reported evidence, not independently verified facts. Company-owned sources are distinguished from independent sources where the evidence bundles provide that information. The URLs were collected from platform responses and were not independently validated by the writer stage.

Methodology Limitations

This study has several material limitations. First, it used one standardized prompt sent once to each 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.

Second, platform-reported research dates differ from the authoritative run date. Deepseek reported 2026-02-14 for Profound and Semrush, 2026-01-15 for OtterlyAI and Peec AI, 2026-06-11 for Ahrefs, 2026-06-04 for Scrunch AI, and 2026-01-15 for Omnia. Anthropic reported 2026-01-10 for Omnia. These are provenance metadata and do not independently prove freshness.

Third, the deterministic identity audit contains qualification notes that must be disclosed. Official-site retrieval failed for one or more mentions of Profound, Peec AI, Ahrefs, and Scrunch AI. No failed fetch was used as a verified domain key. Company-name variants were collapsed onto one canonical brand before minimum-mentions qualification. Peec AI's identity used an exact-name fallback with an unverified reported domain.

Fourth, citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts. Company-owned citations materially outnumber independent citations for Semrush, Ahrefs, Scrunch AI, and Omnia.

Fifth, conflicting product names, pricing, and capabilities were not resolved by guessing. Where platforms disagreed, this report describes the conflict and tells buyers what to verify.

Sixth, platform recommendations are market intelligence, not independent customer reviews or proof of quality. Some independent comparison sources cited in the evidence bundles may have commercial or affiliate incentives.

Final Verdict

Profound is the consensus leader for competitor citation analysis in this 7-platform study, named by all seven platforms and ranked first by four of them. Its cited-URL tracking, citation-share benchmarking, source classification, and enterprise governance features map directly to the use case. OtterlyAI is the strongest lower-cost alternative for teams that need published self-serve pricing and daily monitoring across four core engines. Peec AI offers the best combination of citation gap analysis and source-type classification at mid-market pricing. Semrush and Ahrefs serve buyers who want AI visibility layered into an existing SEO workflow, with Semrush stronger on competitor research reports and Ahrefs stronger on search-backed prompt scale and backlink authority context. Scrunch AI provides page-level citation ownership, influence scoring, and SOC 2 compliance for enterprise buyers willing to accept undisclosed Enterprise pricing. Omnia offers URL-level citation tracking with an action layer and localized monitoring, but only two platforms named it and most supporting evidence is company-owned.

The most important caveat is that this study used one prompt sent once to each platform, and AI answers vary by date, wording, location, account state, model, interface, browsing configuration, and retrieved sources. Buyers should treat this index as a shortlist and verify engine coverage, prompt limits, pricing, and contract terms directly with each vendor before purchase.