Best AI Source Intelligence Platforms

Answer Capsule

OtterlyAI is the consensus leader in this 7-platform AI consensus index of AI source intelligence platforms, named by 5 of 7 platforms (71.4%) at an average listed position of 5.4. Profound ranks second on the strength of the best average position in the study (1.25) but was named by only 4 platforms, and Peec AI, Scrunch, and Ahrefs Brand Radar follow with 4 mentions each. Buyers with distinct needs have distinct best answers: Profound for enterprise citation depth and agentic execution, Peec AI for clean citation-versus-source analytics, Scrunch for URL-level citation intelligence with SOC 2 compliance, and Ahrefs Brand Radar or Semrush AI Visibility Toolkit for teams already inside those SEO ecosystems. The study covered 7 platforms (OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google), surfaced 27 unique entities, and qualified 10 that were named by at least two platforms. The principal limitation is that this is a single standardized prompt sent once to each platform, and most supporting citations are company-owned rather than independent.

Research Snapshot

• Topic: Best AI citation and authority building for AI Source Intelligence Platforms
• Target buyer: Companies seeking AI source intelligence platforms across AI search, generative-answer, and recommendation platforms, United States
• Platforms included: openai, anthropic, deepseek, grok, perplexity, kimi, google (7 platforms)
• Research date: 2026-09-17 (authoritative run date)
• Unique entities named: 27
• Qualifying entities: 10 (named by at least two platforms)
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking unit: Software platform or research platform
• Deduplicated citations: 364

Platform mentions count only ranking-discovery mentions. Several platforms that did not name an entity during ranking discovery still completed a fit assessment for it, so mention counts and fit-assessment counts are not the same thing.

The Consensus Ranking

Questions This Section Answers

• What are the best AI source intelligence platforms for tracking which sources AI engines cite in 2026?
• Which AI citation tracking platform has the most cross-platform consensus among OpenAI, Anthropic, Google, Grok, Perplexity, Kimi, and DeepSeek?
• Which AI source intelligence platform should a buyer shortlist first if they need cited-domain and competitor-source gap analysis?

The table below is the authoritative ranking for this study. Order is determined by platform mentions, then average listed rank, then best listed rank.

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

Questions This Section Answers

• Which AI source intelligence platform is best for a small marketing team that needs cited-domain tracking on a sub-$300 monthly budget?
• Which platform should an enterprise buyer choose if they need API access, BigQuery integration, and unified SERP plus AI-search reporting?
• Is it better to buy a standalone AI citation tracker or an AI visibility add-on inside an existing SEO suite?

1. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for AI source intelligence, and what are its main drawbacks?
• Which OtterlyAI plan should a buyer choose for 100 tracked prompts across ChatGPT, Perplexity, Google AI Overviews, and Copilot?
• How much does OtterlyAI cost once Gemini, Google AI Mode, and Claude add-ons are included?

OtterlyAI is the consensus leader of this index: it was named by 5 of 7 platforms (71.4%), the highest mention count in the study, at an average listed position of 5.4 and a best position of 4. Its fit ratings split across platforms — Anthropic, DeepSeek, OpenAI, and Perplexity rated it "good," Grok and Google rated it "strong," and Kimi rated it "uncertain," arguing that public positioning centers on brand visibility rather than source intelligence ^[1]. That disagreement is the single most important thing a buyer should understand about this ranking.

The OtterlyAI platform tracks cited domains and URLs, citation frequency, link-position changes, domain categories, and domain coverage across tracked prompts, and its reports compare the buyer's site with competitor domains to identify sources where competitors appear but the buyer does not ^[2]. It separates brand visibility from source visibility and supports filters by date range, engine, country, and tags ^[2]. OtterlyAI reports that its analysis of 1.4 million citation links found brand websites, news and media, and Reddit among the most frequently cited source categories; this statistic is platform-reported and may not generalize to every category ^[2]. A separate company-published study of 100 million AI citations reported 52.2% brand domains, 20.3% news and media, and 5.54% social and video ^[4].

Why it ranked here. OtterlyAI earned the top rank on breadth of recognition rather than on average position. Five platforms named it, more than any other entity, but those platforms placed it at an average of 5.4 — the weakest average position among the top six. Profound, by contrast, was named by four platforms at an average of 1.25. The ranking rule rewards mentions first, which is why OtterlyAI leads.

Best suited for. Marketing, SEO, GEO, and communications teams monitoring brand and competitor citations; companies needing source-level gap analysis across tracked prompts; agencies requiring reports, multiple workspaces, exports, API or MCP access, and client benchmarking ^[6]. .

2. Profound

Questions This Section Answers

• Is Profound or OtterlyAI better for AI source intelligence when citation-source discovery and competitor citation share matter most?
• Which Profound plan should an enterprise buyer choose if they need Claude, Gemini, Copilot, and Grok citation tracking?
• What should a buyer verify about Profound's official domain and legal contracting entity before purchase?

Profound holds the strongest average position in the study — 1.25 across the four platforms that named it, with a best position of 1 — but it was named by only 4 of 7 platforms (57.1%), which places it second under the ranking rule. Its fit ratings were "good" or "strong" on Anthropic, DeepSeek, Google, and Grok, and "uncertain" on OpenAI, Perplexity, and Kimi, largely because of an unresolved identity and domain conflict ^[7].

The Profound AI-visibility product states that it identifies every source used by answer engines, compares citation performance for the buyer and competitors, categorizes sources, and identifies highly cited publishers and authors ^[9]. It reports visibility score, share of voice, citation share, sentiment, source authority, competitor rankings, topic clusters, co-citation share, and co-mention share ^[10]. Every cited source gets a category — Owned, Competitor, Earned Media, PR Wire, Social, or Institution — and categories can be customized ^[11]. Citation findings can be exported as CSV or JSON and used to create content briefs or outreach lists through Profound Agents ^[9].

Why it ranked here. Profound was the top-ranked entity on three of the four platforms that named it (Anthropic, Grok, Perplexity all placed it first; Google placed it second). It missed the top spot overall only because fewer platforms named it than named OtterlyAI.

Best suited for. Companies needing recurring visibility and citation analysis across major answer engines; teams comparing which publishers, domains, and source categories support their brand versus competitors; enterprise or mid-market marketing, SEO, and content teams that need prompt-level diagnostics and strategic workflows ^[7].

Main strengths for this use case. Direct citation-source discovery rather than only brand mentions; competitor citation comparisons and source categorization; analysis by platform, topic, prompt, and source; source-gap workflows through content briefs and outreach lists; enterprise materials state support for SSO/SAML and SOC 2 compliance, subject to procurement verification ^[7].

3. Peec AI

Questions This Section Answers

• Is Peec AI worth it for tracking which sources AI answers draw from versus which they explicitly cite?
• Which Peec AI plan covers 150 prompts across three AI models, and what do extra models cost?
• Is Peec AI or Profound better for a marketing team that needs citation-gap analysis but no content execution?

Peec AI ranks third with 4 platform mentions (57.1%), an average listed position of 3.5, and a best position of 3. Its fit ratings were "strong" on OpenAI, Google, and Grok, "good" on Anthropic and Perplexity, "mixed" on Kimi, and "uncertain" on DeepSeek ^[12].

The Peec AI platform distinguishes sources — URLs accessed while generating an answer — from citations explicitly referenced in visible answer text, and reports source and citation activity at URL and domain level ^[12]. It records the domains and URLs each answer draws from and splits a source that informed the response from one the answer explicitly named, readable at domain, host, or URL level with a frequency count and trend line ^[14]. Sources are classified into editorial, corporate, UGC, reference, and owned-website categories ^[12]. Each source domain carries a retrieval rate, citation rate, and gap score ^[16].

Why it ranked here. Peec AI was named by four platforms and placed third on three of them (Grok, OpenAI, Perplexity), with Anthropic placing it fifth. Its average position of 3.5 is the second-best among the four-mention group.

Best suited for. Marketing, SEO, GEO, and content teams benchmarking brand and competitor visibility across major AI-answer platforms; teams prioritizing cited-source concentration, competitor-only sources, domain or URL gaps, and actionable outreach or content opportunities; agencies or multi-brand teams needing competitive reporting, exports, API access, or multi-project management ^[12].

Main strengths for this use case. Direct cited-source discovery, competitor source comparison, and source-gap prioritization; separation of accessed sources from visible citations, useful for diagnosing retrieval versus citation behavior; daily competitive tracking across several major AI-answer environments; source classification, domain and URL analysis, and action-oriented competitive gap workflows ^[12]. Peec AI states that it uses UI scraping for most tracked engines, simulating user interactions rather than relying only on public APIs ^[12].

Main limitations. Coverage, model selection, geography, and project limits vary by plan.

4. Scrunch

Questions This Section Answers

• Is Scrunch worth it for URL-level AI citation intelligence, and what are its main drawbacks?
• Which Scrunch plan includes Claude and Gemini citation tracking, and what does it cost?
• How does Scrunch's Influence Score differ from a simple citation count?

Scrunch ranks fourth with 4 platform mentions (57.1%), an average listed position of 3.75, and a best position of 1 — the best single placement of any entity in the study, awarded by OpenAI. Its fit ratings were "strong" on OpenAI and Grok, "good" on Anthropic, DeepSeek, Google, and Perplexity, and "weak" on Kimi, which described Scrunch as an influencer marketing database rather than a source intelligence platform ^[18].

The Scrunch platform records cited URLs from tracked AI responses and provides domain- and URL-level analysis, including total citations, unique prompts, citation consistency, and source-level influence ^[19]. It classifies cited pages as owned, competitor, or third-party sources and can identify pages that cite competitors but not the buyer, supporting outreach, partnership, and content-gap analysis ^[20]. Its Influence Score is calculated from citation consistency multiplied by the number of unique prompts, enabling prioritization of frequently and consistently cited domains or URLs; this is a frequency and breadth metric, not an independent measure of editorial quality or factual reliability ^[19]. Citation data can be segmented by AI platform, country, persona, prompt type, topic, funnel stage, timeframe, and citation owner ^[22].

Why it ranked here. Scrunch received one first-place vote (OpenAI) but was placed seventh by Perplexity, producing an average of 3.75. That spread — from first to seventh — is the widest in the top five and reflects genuine disagreement about how well a citation-intelligence tool serves buyers who also want content execution.

Best suited for. Marketing, SEO, content, and communications teams auditing AI citations across multiple assistants; companies comparing their cited sources with competitor and third-party sources; organizations seeking URL-level citation gaps and partnership or outreach opportunities; enterprise teams needing broader platform coverage, integrations, governance, or API access ^[19].

Main strengths for this use case. Direct URL- and domain-level citation tracking; competitor and third-party source classification; platform, topic, persona, country, funnel-stage, and prompt segmentation; Influence Score for prioritizing concentrated or repeatedly cited sources; coverage across eight major AI platforms listed by Scrunch ^[19].

5. Ahrefs Brand Radar

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for AI source intelligence if the buyer already pays for Ahrefs?
• What is the true monthly cost of Ahrefs Brand Radar All Platforms coverage including the base Ahrefs subscription?
• How accurate is Ahrefs Brand Radar at detecting AI citations compared with manual verification?

Ahrefs Brand Radar ranks fifth with 4 platform mentions (57.1%), an average listed position of 4.0, and a best position of 2. Its fit ratings were "good" on OpenAI and Grok, and "mixed" on Anthropic, DeepSeek, Google, and Perplexity, with Kimi rating it "weak" ^[23].

The Ahrefs Brand Radar product reports cited pages and domains, distinguishes pages found by an AI system from pages actually cited, and exposes citation metrics for brands and competitors ^[23]. It supports comparison of mentions, citations, impressions, and AI Share of Voice ^[23]. Ahrefs documents coverage for Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Grok, and Claude; Grok data collection is temporarily unavailable, and Claude is available for custom prompts only, with each check consuming eight checks ^[23]. The broad index uses search-backed prompts modeled from Ahrefs keyword and People Also Ask data ^[23].

Why it ranked here. Ahrefs Brand Radar was named by four platforms but placed no better than second and as low as seventh (Anthropic). Its average of 4.0 ties with Semrush AI Visibility Toolkit, and it takes the higher rank on mention count.

Best suited for. SEO, content, and digital-marketing teams already using Ahrefs; competitive benchmarking of AI mentions, citations, impressions, and AI Share of Voice; identifying domains and pages cited for competitors or topics where the buyer is absent; organizations wanting AI-source data connected with conventional search, web, YouTube, Reddit, and TikTok visibility ^[23].

Main strengths for this use case. Direct visibility into cited pages, cited domains, found-but-not-cited pages, and brand-level citation metrics; competitor comparison using mentions, citations, impressions, and AI Share of Voice; a large search-backed prompt index with no setup requirement for indexed data; custom prompts with platform, location, and refresh-frequency controls; useful connection between AI visibility and SEO, web, YouTube, Reddit, and TikTok signals; API and reporting options suitable for agencies or teams integrating data into dashboards ^[23]. .

6. Semrush AI Visibility Toolkit

Questions This Section Answers

• Is the Semrush AI Visibility Toolkit worth $99 per month per domain for AI source intelligence?
• Which Semrush plan includes competitor source-gap analysis and missing-source reporting?
• Does the Semrush AI Visibility Toolkit cover Perplexity, or only ChatGPT, Gemini, Google AI Overviews, and AI Mode?

Semrush AI Visibility Toolkit ranks sixth with 3 platform mentions (42.9%), an average listed position of 4.0, and a best position of 2. Its fit ratings were "good" on Anthropic, DeepSeek, Google, Grok, and OpenAI, and "mixed" on Kimi and Perplexity ^[25].

The Semrush AI Visibility Toolkit identifies cited sources, cited pages, source opportunities, missing sources, shared sources, strong sources, and unique sources ^[28]. Competitor Research compares brand visibility, topics, prompts, and external sources, and Missing Sources identifies websites cited for competitors but not the buyer ^[28]. The full-response view shows the prompt, complete AI response, mentioned brands, clickable source URLs, the LLM, database, and update date ^[28]. Semrush reports a database exceeding 317 million prompts and responses, daily rolling updates, 117 regional databases, and responses captured from real requests rather than LLM APIs ^[25].

Why it ranked here. Semrush was named by three platforms — fewer than the four-mention group above it — which is the sole reason it sits sixth despite an average position of 4.0 that ties Ahrefs Brand Radar.

Best suited for. SEO and content teams already using Semrush; companies prioritizing competitor source-gap discovery and integration with traditional SEO workflows; agencies or in-house teams needing recurring reporting on AI mentions, citations, sources, and cited pages ^[25].

Main strengths for this use case. Direct source-opportunity and missing-source reporting for competitor comparisons; cited-page and full-response inspection supporting source-level diagnosis rather than only aggregate share of voice; a large, frequently refreshed prompt database and regional coverage useful for trend and benchmark analysis, subject to Semrush's methodology claims; integration with Semrush SEO, content, site-audit, reporting, and optional AI PR workflows to reduce tool fragmentation ^[25].

Main limitations. Public documentation does not establish independent validation of coverage, accuracy, or representativeness of the prompt database. Coverage is not clearly consistent across Semrush documentation and independent reviews, particularly regarding Perplexity and the exact set of monitored engines.

7. 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, white-label reporting, and 200 tracked prompts?
• How does Indexly's AI Citation Tracker compare with OtterlyAI for citation-gap analysis?

Indexly ranks seventh with 2 platform mentions (28.6%), an average listed position of 1.0 — the best average in the entire study — and a best position of 1. It was named by only DeepSeek and Kimi, both of which placed it first, which is why it ranks seventh despite the strongest average position. Its fit ratings were "strong" on Google and Grok, "good" on Anthropic, OpenAI, and Perplexity, and "uncertain" on DeepSeek and Kimi ^[29].

The Indexly platform positions its AI visibility and citation-tracking functionality as monitoring brand mentions, prompts, sentiment, cited sources, competitors, and citation changes across ChatGPT, Gemini, Perplexity, Grok, Claude, and Google AI Overviews ^[29]. Published capabilities include Citation Gap Analysis, Citation Analysis, offsite citation reporting, identification of URLs cited by AI systems, and analysis of sources that support competitors ^[29]. Anthropic's assessment described domain-level citation ranking showing your domain ranked against every other source in your category including Reddit, Wikipedia, G2, and long-tail competitors, plus citation gaps where competitors are cited but your brand is not ^[32].

Why it ranked here. Indexly's average position of 1.0 is the best in the study, but only two platforms named it. Under the ranking rule, mention count dominates, so it places seventh. Buyers should read this as "high conviction among the platforms that surfaced it, low breadth of recognition."

Best suited for. Marketing teams tracking brand and competitor mentions across ChatGPT, Gemini, Perplexity, Grok, Claude, and Google AI Overviews; companies seeking citation-gap analysis and actionable content or authority workflows; agencies and multi-brand teams needing reports, collaboration, APIs, or white-label capabilities at higher tiers ^[29].

Main strengths for this use case. Directly addresses cited-source discovery, citation gaps, competitor citations, and prompt-level AI visibility; covers several major AI-answer platforms and exposes source and competitor context rather than only a brand visibility score; Scale includes APIs and custom reports, which can support internal dashboards and recurring intelligence workflows; citation intelligence is integrated with AI traffic and crawler analytics, helping connect source visibility with downstream site activity ^[29]. .

8. DemandSphere

Questions This Section Answers

• Is DemandSphere worth it for enterprise AI citation analytics, and what are its main drawbacks?
• What does DemandSphere's Citation Analytics cost, and is the BigQuery add-on included?
• How does DemandSphere handle citation drift and historical citation trend analysis?

DemandSphere ranks eighth with 2 platform mentions (28.6%), an average listed position of 3.0, and a best position of 3. It was named by DeepSeek and Kimi, both of which placed it third. Its fit ratings were "strong" on Anthropic, Google, and Grok, "good" on OpenAI and Perplexity, and "mixed" on DeepSeek and "uncertain" on Kimi ^[33].

The DemandSphere Citation Analytics product identifies the URLs and domains cited in AI answers, with URL-level attribution and daily monitoring ^[33]. It claims competitive citation analysis showing sources that cite competitors but not the buyer, competitor citation share, and source gaps ^[33]. It advertises citation-frequency trends, citation drift monitoring, historical trends, and alerts for source changes ^[33]. The LLM API documentation claims citation position, surrounding context, triggering prompt, referring AI platform, raw response data, competitor mentions, and metadata are available ^[36]. Anthropic's assessment described a scoring system that weighs source authority, citation context, and cross-engine consistency ^[37].

Why it ranked here. DemandSphere was named by two platforms at an average of 3.0 — a better average than OtterlyAI, Peec AI, Scrunch, Ahrefs Brand Radar, or Semrush — but its two mentions cap its rank at eighth.

Best suited for. Enterprise SEO, content, and digital intelligence teams monitoring ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode; companies needing competitor source comparisons, historical citation trends, API access, or unified SERP and AI-search reporting; organizations that can use daily prompt-volume allocations and may benefit from BigQuery or managed enterprise services ^[33].

Main strengths for this use case. Direct alignment with source-frequency, competitor-source, citation-gap, and source-drift requirements; URL-level and domain-level views that are more actionable than brand-mention-only monitoring; cross-platform monitoring including major AI search surfaces; API fields and BigQuery integration that could support custom source concentration, overlap, and citation-architecture analysis; public entry pricing available for smaller teams, while enterprise capabilities support larger data programs ^[33].

Main limitations. Public materials do not independently validate data accuracy, citation completeness, or source classification quality.

9. Chatoptic

Questions This Section Answers

• Is Chatoptic worth it for paragraph-level AI citation intelligence, and what are its main drawbacks?
• Which Chatoptic plan includes 500 tracked prompts and five or more AI models?
• Does Chatoptic analyze competitor websites, or only competitor mentions inside AI responses?

Chatoptic ranks ninth with 2 platform mentions (28.6%), an average listed position of 3.5, and a best position of 2. It was named by DeepSeek and Kimi, which placed it fifth and second respectively. Its fit ratings were "strong" on Google and Grok, "good" on Anthropic, OpenAI, and Perplexity, and "uncertain" on DeepSeek and Kimi ^[38].

The Chatoptic AI Citation Analysis maps cited domains and URLs to prompts, brands, and AI models, and allows users to inspect frequently cited pages from their own or competitors' websites ^[38]. It reports unique domains and URLs and groups sources into categories such as blogs, reviews, news, social platforms, publications, and aggregators ^[38]. It reports paragraph- and sentence-level citation mapping, prompt-level domains and URLs, the AI models using each source, and whether the buyer's brand appears on cited pages ^[41]. Competitor Mentions identifies sources cited in answers where competitors appeared and the buyer's brand did not ^[42].

Why it ranked here. Chatoptic was named by two platforms at an average of 3.5, placing it ninth. Its distinguishing capability — paragraph- and sentence-level citation mapping — is the most granular in the study, but breadth of recognition is narrow.

Best suited for. Marketing, SEO, GEO, and content teams analyzing cited domains, pages, source types, competitor citation gaps, and source concentration across monitored AI answers; companies that want citation findings connected to personas, prompt tags, search intent, AI models, and competitor visibility; teams needing packaged reports and optional custom access through API or MCP on a custom plan ^[38].

Main strengths for this use case. Directly addresses cited-domain, cited-URL, source-type, competitor-source, and brand-gap analysis; supports source analysis by AI model, prompt tag, search intent, persona, brand, and competitor; paragraph- and sentence-level citation mapping is unusually relevant for understanding which sources shape answer narratives; public plans provide a relatively clear entry point for small, growing, and established teams ^[38].

Main limitations. Public evidence is primarily company-published; independent validation of accuracy, sampling quality, source counts, or comparative performance was not identified.

10. Athena HQ

Questions This Section Answers

• Is Athena HQ worth it for AI source intelligence, and what are its main drawbacks?
• How many prompts can a buyer realistically track on Athena HQ's $295/month Starter plan given the credit model?
• Which Athena HQ capabilities are gated behind the Enterprise tier?

Athena HQ ranks tenth with 2 platform mentions (28.6%), an average listed position of 4.0, and a best position of 2. It was named by Anthropic and Perplexity, which placed it second and sixth respectively. Its fit ratings were "strong" on Google and Grok, "good" on Anthropic and OpenAI, "mixed" on Perplexity, and "uncertain" on DeepSeek and Kimi ^[43].

The Athena HQ platform states that its plans provide prompt and response analysis, sources and competitor insights, content recommendations, and citation tracking or optimization ^[43]. The Starter plan is presented as covering 11 models, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral; the Essential plan lists a smaller set of ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot ^[43]. Anthropic's assessment described gap analysis revealing sources that consistently cite competitors but not your brand, and comparison of citation patterns across models ^[46]. The platform separates brand mentions from source citations, a distinction available only on Self-Serve and higher plans ^[48].

Why it ranked here. Athena HQ was named by two platforms at an average of 4.0, placing it tenth. Its distinguishing feature is the breadth of its base-tier engine list, but its credit-based pricing model and Enterprise gating of advanced citation features are the most consequential buyer considerations.

Best suited for. Marketing and SEO/GEO teams monitoring brand mentions, competitor visibility, cited sources, and recommendation coverage across multiple AI platforms; companies that want source insights combined with content optimization and execution workflows; teams needing broad model coverage beyond ChatGPT and Perplexity, including Google AI Overviews, AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral ^[43]. .

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does the cross-platform AI consensus reveal about which AI source intelligence platforms are most recognized?
• Why do AI platforms disagree so much about whether a given tool is a source intelligence platform or a brand visibility tool?

Three structural patterns emerge from this study.

First, mention breadth and placement quality diverge sharply. OtterlyAI leads on mentions (5) but has the weakest average position among the top six (5.4). Indexly has the best average position in the study (1.0) but only two mentions. Profound combines the best average position among multi-mention entities (1.25) with four mentions. A buyer who reads only the rank column will miss that the platforms that named Indexly placed it first, and the platforms that named OtterlyAI placed it fourth or lower on average.

Second, the category boundary is genuinely contested. The single most common disagreement across entity bundles is whether a given product is a source intelligence platform or a brand visibility tool.

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI source intelligence platform capabilities did OpenAI, Anthropic, Google, Grok, Perplexity, Kimi, and DeepSeek agree on?

Agreement clusters around four capabilities that nearly every assessed platform attributed to the leading tools.

Cited-domain and cited-URL tracking is table stakes. OtterlyAI, Profound, Peec AI, Scrunch, Ahrefs Brand Radar, Semrush, Indexly, DemandSphere, Chatoptic, and Athena HQ were all described by at least one platform as tracking which domains and URLs AI answers cite ^[49].

Competitor source-gap analysis is a shared selling point. Multiple platforms independently described competitor-source comparison and gap identification across the leading tools ^[59].

Daily or frequent monitoring is standard. OtterlyAI, Peec AI, Scrunch, DemandSphere, and Athena HQ were all described as running prompt monitoring on a daily or near-daily schedule ^[61]. .

Where the AI Platforms Disagreed

Questions This Section Answers

• Why did Kimi rate several AI source intelligence platforms as uncertain or weak while Google and Grok rated them strong?
• Which AI source intelligence platform has the most unresolved identity or domain conflict?

Disagreement in this study is concentrated in four areas.

Category fit versus feature fit. Kimi consistently rated tools lower than Google and Grok on the grounds that their public positioning is brand visibility rather than source intelligence ^[62]. Google and Grok consistently rated the same tools "strong" on the basis of documented citation-tracking features ^[66]. Both readings are defensible from the same evidence; they reflect different thresholds for what counts as source intelligence.

Entity identity and domain conflicts. Profound has the most serious unresolved identity issue: the supplied official website, profound.com, currently describes a market-research report service, while the AI-visibility product is presented at tryprofound.com ^[70]. OpenAI, Perplexity, and Kimi all rated the fit "uncertain" on this basis.

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI source intelligence platform for cited-domain and competitor-source tracking?
• Which AI source intelligence platform is cheapest for a single-brand pilot, and which is best for a multi-brand agency?

Work backward from the decision the buyer actually needs to make.

If the primary need is cited-domain and citation-gap discovery at the lowest entry cost, OtterlyAI's $29/month Lite plan is the cheapest published entry point in the study, but it covers only four engines by default and several advertised engines are add-ons ^[71]. Peec AI's $95/month Starter covers 50 prompts and three models with a 7-day free trial ^[73].

If the primary need is the deepest citation-source intelligence with agentic execution, Profound's citation categorization, co-citation share, and Agent-driven content briefs are the most complete feature set described in the study, but the buyer must first resolve the profound.com versus tryprofound.com identity question and confirm whether Growth is $399/month or $399/year ^[75]. .

Methodology

This study used one standardized prompt sent once to each of 7 included platforms: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google. The prompt asked which AI source intelligence platforms a company should consider for intelligence about the websites and pages that appear to influence AI-generated answers and recommendations, including which sources are cited most often, which sources support competitors, where source concentration exists, how citation architecture differs by brand, and which source gaps may represent strategic opportunities.

The authoritative research date is 2026-09-17. Platform-reported research dates differ from the authoritative run date for some platforms and are provenance metadata only; they do not independently prove freshness.

The ranking rule is: platform mentions first, then average listed rank, then best listed rank. Platform mentions count only ranking-discovery mentions. All included platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. The final ranking table is the sole authority for rank, platform mentions, platform share, average rank, and best rank.

Eligibility required an entity to be named by at least two platforms. Of 27 unique entities named, 10 qualified.

Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in several entity bundles.

Methodology Limitations

Several limitations materially affect how this study should be used.

Single prompt, single run. One standardized prompt was 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 second run could produce a different ranking.

Platform-reported research dates differ from the authoritative run date. DeepSeek's research date was 2026-03-01 for OtterlyAI, 2026-01-15 for Profound, 2026-02-14 for Peec AI and Scrunch, 2026-05-20 for Ahrefs Brand Radar, 2026-02-14 for Semrush, 2026-01-15 for Indexly, DemandSphere, Chatoptic, and Athena HQ. Anthropic's research date was 2026-01-09 for Ahrefs Brand Radar and 2026-03-11 for Semrush. These are provenance metadata and do not independently prove freshness.

Company-owned citations outnumber independent citations. For OtterlyAI, 26 of 48 deduplicated citations were company-owned versus 21 independent. For Profound, 24 were owned versus 19 independent, with 22 unclear. For Indexly, 35 were owned versus 10 independent. For Athena HQ, 12 were owned versus 27 independent. Buyers should not treat company claims as independently verified.

Identity conflicts are unresolved for some entities. Profound's official domain conflict between profound.com and tryprofound.com is unresolved.

Final Verdict

OtterlyAI is the consensus leader of this 7-platform AI consensus index, named by 5 of 7 platforms at an average listed position of 5.4. Profound has the strongest average position among multi-mention entities (1.25) and the deepest citation-source feature set described in the study, but carries an unresolved identity conflict that three platforms flagged. Peec AI, Scrunch, and Ahrefs Brand Radar each earned four mentions with distinct strengths: Peec AI for separating used from cited sources, Scrunch for URL-level citation intelligence with SOC 2 compliance, and Ahrefs Brand Radar for teams already inside the Ahrefs ecosystem. Semrush AI Visibility Toolkit is the best fit for existing Semrush customers. Indexly, DemandSphere, Chatoptic, and Athena HQ each earned two mentions with the best average positions in the study but narrow recognition.

No single platform is best for every buyer. The right choice depends on whether the buyer prioritizes entry cost, citation-source depth, enterprise compliance, existing SEO ecosystem, data pipeline integration, or paragraph-level citation granularity.