Best AI Visibility Platforms for Source Intelligence

Answer Capsule

Profound is the consensus leader for AI visibility platforms built around source intelligence, named by 5 of 7 platforms at an average listed position of 1.6 and a best position of 1. Peec AI and Otterly AI tie on mentions (5 of 7 each) but rank lower on average, making them the strongest alternatives for multi-project teams and lower-cost self-serve buyers respectively. Semrush AI Visibility Toolkit is the best fit for teams already living inside an SEO suite, while Scrunch AI and Cited are the specialists to shortlist when citation-level URL and domain analysis is the primary requirement. This index studied 7 platforms (openai, anthropic, deepseek, grok, perplexity, kimi, google) using one standardized prompt sent once to each. The principal limitation is that platform answers are market intelligence, not independent customer reviews, and several entities carry unresolved identity, pricing, or methodology conflicts that buyers must verify directly.

Research Snapshot

• Topic: AI visibility and LLM monitoring platforms for source intelligence
• Target buyer: Marketing teams seeking AI visibility platforms for source intelligence across AI search, generative-answer, and recommendation platforms
• Use case: Identifying the sources AI systems repeatedly use when answering commercially important category questions, with source-level citation data, domain analysis, prompt mapping, competitor comparisons, historical changes, and enough context to understand which sources may influence AI recommendations
• Geography: United States
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google
• Research date: 2026-09-19 (authoritative run date)
• Unique entities named across platforms: 33
• 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-reported research dates differ from the authoritative run date for several entities. Deepseek responses were dated 2026-01-15 for Profound, Peec AI, Otterly AI, Semrush AI Visibility Toolkit, and Scrunch AI; 2026-06-12 for Ahrefs Brand Radar; 2026-02-14 for AthenaHQ; 2026-06-25 for Cited; and 2026-06-01 for Viali. Anthropic responses for AthenaHQ were dated 2026-01-15. 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 source intelligence in 2026?
• Which AI visibility platform is named most often across AI assistants for source-level citation analysis?
• Which platforms should a US marketing team shortlist for tracking which sources influence AI recommendations?

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 source intelligence if they need citation-level URL and domain data rather than a visibility score?
• Is Profound or Peec AI better for a multi-project marketing team tracking prompts across several AI engines?
• Which AI visibility platform for source intelligence has the lowest published entry cost, and what does that tier actually include?

The buyer need in this study is not one need. It splits into at least six distinct versions, and the ranking table answers each differently.

If the primary requirement is citation-level URL and domain analysis: Scrunch AI and Cited are the most directly aligned. Scrunch reports cited sources at URL and domain level with citation-owner breakdowns, citation consistency, and an Influence Score calculated from the share of AI responses citing a source multiplied by the number of unique prompts it appears in ^[1]. Cited reports the sites and exact pages cited in AI answers, citation share, platform-specific source mix, competitor presence, source type, role classification, and week-on-week movement ^[4]. .

1. Profound

Questions This Section Answers

• Is Profound worth it for AI visibility source intelligence, and what are its main drawbacks?
• Which Profound plan does a US marketing team need for multi-engine source intelligence, and what does each tier cost?
• Does Profound measure source influence on AI recommendations, or only report which sources were cited?

Profound is the consensus leader in this study, named by 5 of 7 platforms at an average listed position of 1.6 and a best position of 1. It is a purpose-built AI visibility platform whose publicly described capabilities — answer engine insights, source-level citation and domain analysis, prompt mapping, competitor comparisons, and historical tracking — align closely with the source-intelligence need ^[5]. The Profound fit review covers the full tier-by-tier breakdown.

Why it ranked here. Profound was named by openai, anthropic, deepseek, grok, and perplexity, with ranks of 1, 1, 2, 1, and 3 respectively. No other entity in this study received a first-place ranking from four platforms. Its average listed position of 1.6 is the strongest in the index.

Best suited for. Mid-market and enterprise marketing teams monitoring AI search visibility across multiple answer engines; teams needing recurring prompt measurement, competitor comparison, citation tracking, and AEO-oriented optimization workflows; organizations willing to pay for a managed platform rather than assemble model queries and source analysis internally.

Main strengths for the use case. Profound's Answer Engine Insights delivers domain and URL-level citation capture with automatic classification into Owned, Competitor, Earned Media, PR Wire, Social, and Institution categories ^[6]. Sources are tracked across each answer engine and filtered by category for competitive share-of-voice analysis ^[7]. The platform processes 5M+ citations daily, tracks 4M+ crawler visits, and handles 1M+ prompts ^[8]. Growth provides multi-engine coverage rather than ChatGPT-only monitoring, and custom prompts support mapping visibility measurement to the buyer's actual categories, products, competitors, and recommendation questions ^[9]. Enterprise is designed for broader model, region, prompt, export, API, governance, and team requirements ^[9].

Main limitations. Starter is not sufficient for broad source intelligence because it is limited to ChatGPT and 50 prompts ^[9]. Growth's published comparison shows only three engines, one language, and one region, which may be insufficient for global or highly segmented programs ^[9]. Citation visibility is not the same as causal source influence, recommendation attribution, or verified business impact ^[9].

2. Peec AI

Questions This Section Answers

• Is Peec AI or Profound better for a multi-project marketing team tracking prompts across several AI engines?
• Which Peec AI plan does a buyer need for domain- and URL-level source visibility, and what does it cost?
• Does Peec AI distinguish sources that informed an AI answer from sources the answer explicitly cited?

Peec AI is the second-ranked entity, tied with Profound and Otterly AI on platform mentions (5 of 7) but with a lower average listed position of 3.2. It is a monitoring platform that links defined prompts and competitor comparisons to cited domains and URLs across major generative-answer platforms ^[10]. The Peec AI fit review covers the full plan matrix.

Why it ranked here. Peec AI was named by openai, anthropic, deepseek, grok, and perplexity, with ranks of 2, 1, 2, 5, and 6 respectively. Its best position of 1 came from deepseek. The spread between its best (1) and worst (6) listed positions is the widest among the top three entities.

Best suited for. Multi-project marketing teams tracking branded and non-branded prompts across several AI-answer platforms; teams that need domain- and URL-level source visibility, competitor comparisons, and recurring changes in mentions, positions, citations, and sentiment; agencies or distributed marketing teams needing isolated projects, multiple users, exports, and reporting integrations.

Main strengths for the use case. Peec AI tracks source citations at domain and URL levels, distinguishing between "used sources" (URLs consumed by AI models to construct answers) and "cited sources" (explicitly referenced in response text) ^[11]. Domain-level categorization breaks sources into types including owned, editorial, reference, UGC, and competitor ^[13]. Gap Analysis identifies domains that cite competitors but not the buyer's brand, ranked by retrieval rate, citation rate, and gap score ^[13]. The platform runs tracked prompts across AI engines daily, analyzing patterns over time ^[14]. Three data export and integration channels are available: a Google Looker Studio connector, a REST API on Advanced and above, and Model Context Protocol integration ^[15].

Main limitations. Base plans (Starter through Advanced) track only three models, chosen from six: ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini ^[16]. Enterprise covers up to 11–13 models including Claude Sonnet 4, DeepSeek, GPT-5 Search, Grok, and Mistral ^[16].

3. Otterly AI

Questions This Section Answers

• Is Otterly AI worth it for source intelligence on a limited budget, and what are its main drawbacks?
• Which Otterly AI plan does a buyer need for domain-level citation analysis, and what do the engine add-ons cost?
• Does Otterly AI prove that a good GEO audit score becomes an actual AI citation?

Otterly AI is the third-ranked entity, tied on platform mentions (5 of 7) with a lower average listed position of 4.8 and a best position of 3. It is positioned as an affordable, self-serve monitoring platform centered on cited domains, competitor comparisons, prompt monitoring, and historical visibility trends ^[17]. The Otterly AI fit review covers the full add-on cost structure.

Why it ranked here. Otterly AI was named by openai, anthropic, deepseek, grok, and perplexity, with ranks of 5, 6, 3, 4, and 6 respectively. It is the only entity in the top three whose best listed position is 3 rather than 1, which reflects consistent mid-table placement rather than a single strong endorsement.

Best suited for. Small and mid-sized marketing teams testing AI-search visibility with a defined prompt set; teams prioritizing source and domain discovery, competitor citation comparisons, and recurring trend monitoring; buyers wanting a lower-cost self-serve alternative to enterprise AI-visibility platforms.

Main strengths for the use case. Otterly AI captures source-level citation data by design, tracking every domain and URL cited in AI answers, checked daily, with link-position changes over time ^[18]. The Domain Citations view categorizes cited sites into News/Media, Government/NGO, Competitor, and Blogs/Personal Sites ^[19]. The platform supports comparisons between the buyer's domain and selected competitors, including citation coverage and competitor visibility within tracked prompts ^[17]. Historical domain-coverage-over-time reporting identifies growth, declines, and changes after optimization efforts ^[20]. Multi-country monitoring supports 65+ countries and languages on all plans ^[21]. Unlimited team members are included on all plans ^[22].

Main limitations. Prompt capacity is limited by plan and may make broad monitoring expensive ^[17]. Important engines may require add-ons, and the exact included engine set is not fully clear from the retrieved official pricing excerpt ^[17]. Public documentation does not establish complete page-level provenance, response sampling methodology, API coverage, or maximum historical retention ^[17]. Citation presence is not equivalent to source influence, recommendation causality, traffic attribution, or business impact ^[17].

4. Semrush AI Visibility Toolkit

Questions This Section Answers

• Is the Semrush AI Visibility Toolkit worth it for source intelligence if the team already pays for Semrush SEO?
• How many prompts and domains does the $99/month Semrush AI Visibility Toolkit include, and what does an extra domain cost?
• Does Semrush publish the sample size and run count behind its Brand Performance AI visibility scores?

Semrush AI Visibility Toolkit is the fourth-ranked entity, named by 4 of 7 platforms at an average listed position of 3.25 and a best position of 1. It is a credible choice for marketing teams that want operational AI visibility monitoring integrated with SEO and competitive research ^[23]. The Semrush AI Visibility Toolkit fit review covers the full tier comparison.

Why it ranked here. Semrush was named by openai, deepseek, grok, and perplexity, with ranks of 4, 3, 5, and 1 respectively. Its best position of 1 came from perplexity. It is the highest-ranked entity in this study that is not a dedicated AI visibility platform.

Best suited for. Teams already using Semrush SEO data that want AI visibility and source/citation analysis in the same platform; teams monitoring a defined set of brand, product, competitor, and category prompts across ChatGPT, Google AI, Gemini, and Perplexity; small and midsize teams that need a relatively accessible base plan before moving to Semrush One or custom enterprise limits.

Main strengths for the use case. Semrush reports AI mentions, citations, cited pages, and AI visibility metrics at the domain level ^[24]. The Base plan publicly lists mentions from ChatGPT, Google AI, Gemini, and Perplexity ^[25]. Base includes tracking for 25 custom prompts with daily AI rankings, and Semrush One increases prompt limits by tier, including 50, 100, or 200 prompts in the documented Starter, Pro+, and Advanced examples ^[26]. Base includes AI competitor analysis and prompt research, and Semrush also describes competitor gaps, share-of-voice-style visibility comparisons, and domain benchmarking ^[24]. The AI Search Site Audit feature automatically scans up to 100 pages on the base plan for issues that block AI bots, such as misconfigured robots.txt files or missing LLM-friendly text files ^[27]. Semrush lets you write freeform prompts with no guardrails, so you control exactly what question the AI engine receives ^[28]. .

5. Ahrefs Brand Radar

Questions This Section Answers

• Is Ahrefs Brand Radar worth $828/month for source intelligence, and what does the all-in cost include?
• How many AI platforms does Ahrefs Brand Radar track, and does it cover Claude, Grok, or Meta AI?
• Does Ahrefs Brand Radar capture AI mentions that fall outside its indexed prompt set?

Ahrefs Brand Radar is the fifth-ranked entity, named by 3 of 7 platforms at an average listed position of 3.33 and a best position of 2. It is particularly strong for source discovery, cited-domain and cited-page analysis, competitor comparison, and integration with SEO intelligence ^[29]. The Ahrefs Brand Radar fit review covers the full cost and coverage picture.

Why it ranked here. Ahrefs was named by deepseek, grok, and perplexity, with ranks of 4, 4, and 2 respectively. Its best position of 2 came from perplexity. It is the second-highest-ranked suite-integrated option after Semrush.

Best suited for. Broad discovery of brand and competitor visibility across AI-generated answers; identifying cited pages, cited domains, and other sources that may influence AI answers; marketing teams already using Ahrefs for SEO, competitive analysis, and web research.

Main strengths for the use case. Brand Radar reports citations and distinguishes pages cited in AI answers from pages found or retrieved but not cited ^[30]. It can identify top cited pages and domains, supporting source-intelligence workflows ^[30]. Ahrefs documents coverage across Google AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Grok, and Claude, plus SEO, YouTube, Reddit, and TikTok-related visibility ^[29]. The product uses a large prebuilt library of search-backed prompts and supports custom prompts, which can be scheduled from monthly to daily, while Claude custom checks consume eight checks per query ^[31]. Brand Radar provides comparative metrics including AI Share of Voice, mentions, citations, and impressions, and supports competitor analysis and prompt-level gap discovery ^[32]. Prompts are derived from Google's People Also Ask corpus and Ahrefs' 110 billion keyword database, not synthetic queries ^[33].

Main limitations. Search-backed prompts may not represent the buyer's exact audience questions, private prompts, or personalized answers ^[29]. AI outputs are probabilistic and can change between sessions; Ahrefs itself says Brand Radar is not traditional fixed-position rank tracking ^[34]. Coverage, frequency, historical retention, API availability, and included checks depend on the purchased plan or add-on ^[29].

6. Scrunch AI

Questions This Section Answers

• Is Scrunch AI worth it for citation-level source intelligence, and what does the Influence Score actually measure?
• Which Scrunch AI plan covers nine AI platforms, and what does the Core plan include?
• Does the Sitecore acquisition change Scrunch AI's roadmap or pricing for new buyers?

Scrunch AI is the sixth-ranked entity, named by 3 of 7 platforms at an average listed position of 4.67 and a best position of 3. It is a strong fit for marketing teams whose primary requirement is source intelligence: identifying the URLs and domains cited by AI platforms, comparing owned, competitor, and third-party sources, mapping citations to prompts and topics, and prioritizing influential sources. The Scrunch AI fit review covers the acquisition implications in detail.

Why it ranked here. Scrunch was named by openai, deepseek, and grok, with ranks of 3, 5, and 6 respectively. Its best position of 3 came from openai. It received the strongest fit ratings in the study — openai and grok both rated it strong — but its ranking-discovery mentions were lower than the top five entities.

Best suited for. Teams needing citation-level URL and domain visibility across tracked AI-search prompts; marketing, SEO, PR, and content teams prioritizing third-party sources that may shape AI answers; organizations needing prompt, competitor, topic, persona, funnel-stage, and platform filters.

Main strengths for the use case. Scrunch reports cited sources at URL and domain level, including citation-owner breakdowns, citation consistency, prompt coverage, and source readouts ^[35]. Its Influence Score is calculated from the share of AI responses citing a source and the number of unique prompts for which it appears ^[36]. Citation data can be filtered by branded versus non-branded prompts, tags, personas, country, topic, AI platform, funnel stage, and citation owner ^[38]. Scrunch describes citation breakdowns by the buyer's brand, competitors, and third parties, plus domain and URL-level views showing which competitor or third-party pages are steering tracked answers ^[39]. Core publicly lists ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot; Enterprise publicly lists nine platforms, including Claude, Gemini, Google AI Mode, Meta AI, and Grok ^[40]. Scrunch has completed a SOC 2 Type II audit conducted by an independent third-party auditor ^[41].

Main limitations. Influence Score is a proprietary prioritization metric and does not establish editorial quality, causal influence, or business impact ^[36].

7. AthenaHQ

Questions This Section Answers

• Is AthenaHQ worth it for source intelligence, and what are its main drawbacks at the $295/month Starter tier?
• How does AthenaHQ's credit model work, and what happens when the monthly credit allowance runs out?
• Does AthenaHQ show why an AI system selected a source, or only which sources were cited?

AthenaHQ is the seventh-ranked entity, named by 3 of 7 platforms at an average listed position of 5.33 and a best position of 2. It is a good fit for marketing teams that need cross-model AI visibility, source and citation analysis, prompt and response monitoring, and competitor intelligence ^[42]. The AthenaHQ fit review covers the credit economics in detail.

Why it ranked here. AthenaHQ was named by google, grok, and perplexity, with ranks of 2, 7, and 7 respectively. Its best position of 2 came from google. The spread between its best (2) and worst (7) listed positions is the widest in the study.

Best suited for. Teams monitoring brand mentions, citations, prompts, and competitors across multiple AI search and answer platforms; teams wanting source insights combined with content recommendations and GEO workflow tools; teams that can validate credit consumption, historical retention, and source-attribution detail during a trial.

Main strengths for the use case. AthenaHQ collects citations from ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overview, AI Mode, Grok, and DeepSeek ^[43]. The Sources feature tracks which domains and URLs each AI model cites in response to tracked prompts, displaying citation percentage, responses influenced, brand mention percentage, and competitor mention percentage ^[43]. Domain analysis pages show citation trends over time, URL breakdowns, prompt breakdowns, and, for YouTube, creator and timestamp data ^[44]. Each source is auto-classified as Owned, Competitor, Partner, or Third-party ^[43]. Starter includes integrations, CSV export, content optimization, on-page and off-page actions, and a self-learning content improvement capability ^[42]. The Essential plan is free with 300 credits and five models, and it does not expire ^[45].

Main limitations. Source-intelligence methodology and source-influence attribution are not sufficiently documented publicly ^[42]. Historical retention and longitudinal source-change capabilities are unclear ^[42]. Credit-based usage can make ongoing cost dependent on response volume; API and extra-credit costs are additional ^[42]. Enterprise-only capabilities include several governance, multi-region, persona, recommendation, and BI features ^[42].

8. Cited

Questions This Section Answers

• Is Cited worth it for source intelligence, and what are its main drawbacks for a US marketing team?
• Which Cited plan covers Gemini and Google AI Mode, and what does each tier cost?
• Does Cited measure AI referral traffic, or only citation presence?

Cited is the eighth-ranked entity, named by 2 of 7 platforms at an average listed position of 1.5 — the strongest average in the study — with a best position of 1. It is particularly relevant when the marketing team needs to understand which domains and pages influence AI answers and how competitor source coverage differs ^[46]. The Cited fit review covers the regional benchmarking caveat.

Why it ranked here. Cited was named by anthropic and kimi, with ranks of 2 and 1 respectively. Its average listed position of 1.5 is the best in the index, but it qualified on the minimum two platform mentions, which places it eighth under the ranking rule.

Best suited for. Teams needing source and page-level citation analysis rather than only a visibility score; teams comparing competitors across tracked prompts and monitoring changes daily; US teams willing to begin with ChatGPT, Google AI Overviews, and Perplexity, or pay more for Scale coverage.

Main strengths for the use case. Source Intelligence reports the sites and exact pages cited in AI answers, citation share, platform-specific source mix, competitor presence, source type, role classification, and week-on-week movement ^[46]. Paid plans re-run tracked prompts daily; Pro includes 250 prompts and 90 days of history, Scale includes 500 prompts and 180 days, and Enterprise offers unlimited prompts and full historical visibility ^[47]. Cited measures competitors on the same prompts and provides competitor gaps; Pro supports five competitors, Scale eight, and Enterprise unlimited competitors ^[47]. The platform classifies sources by site type and role, including owned, competitor, channel, earned media, aggregator, community, and other, and identifies formats such as reviews, comparisons, product pages, listicles, and editorial pages ^[46]. Pro and Scale include prioritized tasks with content briefs, CSV export, and MCP access ^[46].

Main limitations. Starter and Pro cover only ChatGPT, Google AI Overviews, and Perplexity; Scale adds Gemini and Google AI Mode; Enterprise adds Claude and Grok, for seven platforms total ^[47]. Source Intelligence explains citation patterns but does not prove that a source caused a recommendation, ranking, conversion, or referral visit ^[46].

9. Indexly

Questions This Section Answers

• Is Indexly worth it for AI citation tracking, and what are its main drawbacks?
• Which Indexly plan includes API access and white-label reporting, and what does each tier cost?
• Does Indexly provide source-level citation data, or only general AI visibility monitoring?

Indexly is the ninth-ranked entity, named by 2 of 7 platforms at an average listed position of 2.5 and a best position of 1. It is a good fit for marketing teams that need source-level citation monitoring, prompt-level competitor gaps, multi-engine coverage, and historical citation trends ^[48]. The Indexly fit review covers the plan nomenclature conflict.

Why it ranked here. Indexly was named by anthropic and kimi, with ranks of 1 and 4 respectively. Its best position of 1 came from anthropic. It qualified on the minimum two platform mentions.

Best suited for. Marketing or SEO teams monitoring which URLs and domains AI systems cite; teams comparing citation share and citation gaps against competitors; organizations needing recurring monitoring across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews; teams that value API access, custom reports, and historical tracking.

Main strengths for the use case. Indexly states that it counts citation URLs returned by supported AI assistants, groups them by page on the tracked domain, and provides per-engine citation counts and URL-level history ^[48]. The platform reports citation share, citation rank against 300-plus cited sources, competitor citation domains, and a source-authority view covering domains such as Reddit, Wikipedia, and G2 ^[48]. Tracked prompts can be organized by products, campaigns, or verticals, and each prompt can show brand presence, competitor position, cited sources, and changes over time ^[49]. The AI Citation Tracker identifies competitor URLs cited when the buyer's brand is absent, with breakdowns by competitor, model, date, prompt, and response ^[50]. Citation data is refreshed daily with full historical retention, and the API exposes visibility time series and competitor analysis ^[51]. Published coverage includes ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews ^[48].

Main limitations. The platform's methodology for sampling prompts, normalizing citations, handling nondeterministic answers, and calculating citation share is not independently validated in the reviewed sources ^[48]. Published model and prompt limits may constrain coverage for large brands or broad category research ^[48].

10. Viali

Questions This Section Answers

• Is Viali worth it for source intelligence, and what are its main drawbacks?
• Which Viali plan covers all six AI engines, and what does each tier cost?
• Does Viali extract citations directly from every engine, or infer sources for some models?

Viali is the tenth-ranked entity, named by 2 of 7 platforms at an average listed position of 3.5 and a best position of 2. It appears to be a good fit for marketing teams that need source-level visibility into AI-generated recommendations, competitor citation gaps, prompt-level comparisons, and recurring monitoring ^[52]. The Viali fit review covers the attribution methodology caveat.

Why it ranked here. Viali was named by anthropic and kimi, with ranks of 5 and 2 respectively. Its best position of 2 came from kimi. It qualified on the minimum two platform mentions.

Best suited for. Teams comparing which domains and URLs are cited when competitors are recommended; B2B, SaaS, and agency marketing teams needing multi-engine prompt monitoring plus citation remediation workflows; buyers that want source intelligence connected to content recommendations and post-change measurement.

Main strengths for the use case. Viali describes Citations Intelligence as showing the exact sources engines trust and reports URL- or domain-level citation-source analysis for tracked answers ^[52]. The platform states that it tracks ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews ^[53]. It maps tracked buyer prompts to brand mentions, competitor mentions, cited sources, and query-level gaps, with category, feature, and competitor-comparison prompt classes ^[54]. Viali advertises scheduled scans, an Impact Ledger recording baselines and interventions, and daily fix verification classified as verified, partial, or failed ^[55]. The platform connects competitor citation gaps to the sources and pages that won, and combines citation analysis with content briefs, brand-accuracy monitoring, and post-publication verification ^[52]. All six engines are included on every plan, with plans gating volume and features rather than engines [e10:official:C2].

Main limitations. For Perplexity and browsing-enabled ChatGPT, Viali describes extracting visible cited URLs or domains; for Claude, its public methodology describes source inference from response language, indexed-domain matching, and injected context rather than native citations ^[56]. This is a material limitation for buyers requiring direct causal source attribution ^[56]. The public materials do not clearly state the maximum historical retention period or whether all citation-level records are available for arbitrary date comparisons ^[52].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does the cross-platform study reveal about how AI assistants recommend AI visibility platforms for source intelligence?
• Which AI visibility platforms for source intelligence are named by the most AI assistants, and which are named by only two?

Three patterns stand out in this study.

First, the market splits into dedicated AI visibility platforms and suite-integrated modules. The top three entities — Profound, Peec AI, and Otterly AI — are all purpose-built AI visibility platforms. Semrush AI Visibility Toolkit and Ahrefs Brand Radar are SEO-suite modules that add AI visibility to existing keyword, backlink, and domain workflows. The dedicated platforms dominate the ranking, but the suite-integrated options hold their own: Semrush ranked fourth on 4 mentions, and Ahrefs ranked fifth on 3 mentions.

Second, citation-level source intelligence is the differentiator that separates the specialists from the generalists. Scrunch AI, Cited, and Viali all built their positioning around source-level citation data rather than visibility scores. Scrunch reports cited sources at URL and domain level with an Influence Score ^[57]. Cited reports the sites and exact pages cited in AI answers with source type and role classification ^[59].

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI visibility platforms for source intelligence did all seven AI assistants agree on?
• What capabilities do AI assistants consistently attribute to the top-ranked AI visibility platforms?

The seven platforms agreed on several points.

Profound is the consensus leader. Five of seven platforms named Profound, and four of those five ranked it first or second. No other entity received four first-place rankings. OpenAI, Anthropic, and Deepseek all rated the fit good, and all three described source-level citation tracking, prompt mapping, competitor comparison, and historical monitoring as core capabilities ^[60].

Source-level citation data is the central requirement. Every platform that completed a fit assessment for the top three entities described citation-level or domain-level source analysis as the primary capability. OpenAI described Profound as tracking citations, sentiment, ranking, and competitive presence ^[60]. Anthropic described Peec AI as distinguishing "used sources" from "cited sources" ^[63]. OpenAI described Otterly AI as reporting cited domains and citation links in AI responses ^[64]. .

Where the AI Platforms Disagreed

Questions This Section Answers

• Why did some AI assistants rate the same AI visibility platform as uncertain while others rated it good or strong?
• Which AI visibility platforms for source intelligence have unresolved identity or pricing conflicts that buyers must verify?

The disagreements in this study are mostly about verifiability, not about capability.

Fit ratings diverged sharply for five entities. AthenaHQ received ratings of strong (google), good (openai, anthropic, grok), mixed (deepseek, perplexity), and uncertain (kimi). Cited received ratings of strong (grok), good (google, kimi, openai, perplexity), and uncertain (anthropic, deepseek). Indexly received ratings of strong (google, grok), good (anthropic, openai, perplexity), weak (deepseek), and uncertain (kimi). Viali received ratings of strong (google), good (anthropic, kimi, openai, perplexity), and uncertain (deepseek, grok). Scrunch AI received ratings of strong (openai, grok), good (anthropic, deepseek, google, perplexity), and uncertain (kimi).

Identity conflicts affected two entities. Profound's supplied official domain profound.com is owned by MarketResearch.com, while the actual AI visibility platform operates at tryprofound.com ^[65]. AthenaHQ's normalization notes record conflicting official domains and an unresolved identity ^[67]. .

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI visibility platform for source intelligence?
• Which AI visibility platform for source intelligence should a buyer choose if they need citation-level URL data, multi-engine prompt mapping, or SEO-suite integration?

Start with the version of the need, not the ranking. The ranking table measures how often each entity was named across seven AI platforms, not which entity is best for every buyer.

If citation-level URL and domain analysis is the primary requirement, shortlist Scrunch AI and Cited. Both report cited URLs and domains with source classification and competitor gaps. Scrunch's Influence Score is a proprietary prioritization metric, not proof of causal influence ^[68]. Cited does not measure AI referral traffic and explicitly states that a citation is not a click ^[69].

If multi-engine prompt mapping and competitor comparison are the primary requirements, shortlist Profound, Peec AI, and Otterly AI. Profound's Growth tier covers three engines with 100 prompts ^[70]. Peec AI's Advanced tier covers three models with 350 prompts and five projects ^[71]. Otterly AI's Standard plan covers four base engines with 100 prompts ^[72]. .

Methodology

This study used one standardized prompt sent once to each of seven AI platforms: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI visibility or source-intelligence platforms would be recommended for a marketing team that needs source-level citation data, domain analysis, prompt mapping, competitor comparisons, historical changes, and enough context to understand which sources may influence AI recommendations.

The ranking rule is deterministic: platform mentions first, 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.

Thirty-three unique entities were named across the seven platforms. Ten qualified for the final ranking by being named by at least two platforms. Each qualifying entity received a fit assessment from the platforms that named it, and those assessments form the entity evidence bundles used in this article.

The study date is 2026-09-19, the authoritative run date. Platform-reported research dates differ from the run date for several entities and are disclosed in the Research Snapshot.

Methodology Limitations

This study has several limitations that buyers should weigh.

One prompt, sent once. The study used a single 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 different prompt or a different day could produce a different ranking.

Platform recommendations are market intelligence, not independent customer reviews. The platforms that named these entities were not evaluating product quality through hands-on testing. Their recommendations reflect what their models retrieved and synthesized, not verified performance.

Company-owned sources materially outnumber independent sources for several entities. Otterly AI's evidence bundle records 24 company-owned citations against 19 independent citations ^[73]. Semrush's bundle records 26 company-owned against 19 independent ^[74]. Ahrefs' bundle records 27 company-owned against 24 independent ^[75]. Scrunch's bundle records 31 company-owned against 26 independent. AthenaHQ's bundle records 20 company-owned against 11 independent ^[76]. Indexly's bundle records 32 company-owned against 7 independent ^[77]. Viali's bundle records 25 company-owned against 5 independent ^[78]. Company claims should not be described as independently verified. .

Final Verdict

Profound is the consensus leader for AI visibility platforms built around source intelligence, named by 5 of 7 platforms at an average listed position of 1.6. It is the strongest fit for mid-market and enterprise teams that need multi-engine prompt tracking, citation-level source analysis, competitor comparison, and AEO-oriented workflows, provided they can accept annual billing, unclear historical retention, and Enterprise-gated breadth.

Peec AI and Otterly AI are the strongest alternatives for distinct buyer needs. Peec AI is the better fit for multi-project teams that need domain- and URL-level source visibility with a "used versus cited" distinction, at $495/month for the Advanced tier. Otterly AI is the better fit for teams that need a lower-cost self-serve entry point, at $29/month for Lite or $189/month for Standard.

Semrush AI Visibility Toolkit and Ahrefs Brand Radar are the best fits for teams already invested in an SEO suite. Semrush's Base plan is $99 per month per domain with 25 prompts. Ahrefs' all-platform Brand Radar AI is $699 per month with 2,500 custom-prompt checks, and its all-in cost reaches approximately $828/month.

Scrunch AI and Cited are the specialists to shortlist when citation-level URL and domain analysis is the primary requirement.