Six-engine recheck · captured 7 November 2026

Six AI engines, four questions, one owned brand.

We asked Claude, OpenAI API, Perplexity, Gemini, Grok and DeepSeek the four buyer questions GEOrank tracks for itself, including the three first asked of four engines on 6 November (that evidence, JSON). GEOrank was named in 0 of 24 answers; together they named 37 different tools.

Captured 2026-11-07 through each provider's official API with live web search: Claude, OpenAI API, Perplexity, Gemini, Grok and DeepSeek. One answer per engine per question, in English, with no country-local execution. Answers from an API can differ from what the consumer apps show.

In short.

What happened: across 24 answers to the same four questions, the engines named 37 different tools; only Otterly.AI was named by all 6 engines for the same question, and GEOrank was named in 0 of 24.

Why it matters: each engine drew on largely different sources, so being listed in one roundup reaches some engines and not others. A single engine's answer is not a picture of AI search.

Recommended next step: run your own buyer questions across engines, see which sources each one cites, seek accurate inclusion where you genuinely fit, then recheck the same questions.

What we're changing, and how we'll check.

Baseline: on 7 November 2026 GEOrank was named in 0 of 24 answers to these questions. Two further runs the same day, asking the questions in natural buyer wording with no length limit, also named it in 0 of 24 and 0 of 22 answers (two answers failed). The engines instead named other tools and cited published tool round-ups.

What we're changing: clearer, sourced pages about what GEOrank does, and asking the round-ups these engines cite most to consider an accurate listing. GEOrank's Crawler & HTML score is already 95/100, so access isn't the problem; being in the sources is.

How we'll check: the same four questions and six engines, in the same natural wording as the later runs, rerun after those changes are live. We'll publish the result on this site, whether it improves or not.

What the engines agreed on.

37Different tools named across 24 answers
1Tool named by all 6 engines for the same question (Otterly.AI)
0 / 24Answers naming GEOrank
24 / 24Answers returned (failed answers are excluded from every count)

Otterly.AI was named in 13 of 24 answers. 24 of the 37 tools were named only once. The engines mostly drew on different sources, so a listing in one roundup reaches some engines and not others.

The table below lists the 13 tools named in 2 or more answers; the other 24 were named once.

A tool counts when its name appears in an answer (case-insensitive). A name is not a recommendation, ranking or market share. GEOrank, which ran this comparison, was not named in any answer. Statements about other products are provider output, not GEOrank-verified claims.

Tools named, by answer.

ToolAnswers naming itWhere (question and engine)
Otterly.AI13 of 24Q1 Claude, Q1 OpenAI API, Q1 Perplexity, Q1 Gemini, Q1 Grok, Q1 DeepSeek, Q2 Claude, Q2 Perplexity, Q2 Grok, Q3 OpenAI API, Q3 Perplexity, Q3 Gemini, Q3 Grok
Semrush13 of 24Q1 Claude, Q1 OpenAI API, Q1 Perplexity, Q1 Gemini, Q1 Grok, Q2 Claude, Q2 OpenAI API, Q2 Gemini, Q2 Grok, Q2 DeepSeek, Q3 Claude, Q3 OpenAI API, Q3 Gemini
Peec AI12 of 24Q1 Perplexity, Q1 Gemini, Q1 Grok, Q1 DeepSeek, Q2 Claude, Q2 Gemini, Q2 Grok, Q3 Claude, Q3 OpenAI API, Q3 Perplexity, Q3 Gemini, Q3 Grok
Ahrefs Brand Radar9 of 24Q1 Claude, Q1 OpenAI API, Q1 Perplexity, Q1 Grok, Q1 DeepSeek, Q2 Claude, Q2 OpenAI API, Q2 Grok, Q3 Gemini
Profound7 of 24Q1 Gemini, Q1 DeepSeek, Q2 Gemini, Q3 Claude, Q3 Perplexity, Q3 Gemini, Q3 Grok
Apify trackers4 of 24Q1 DeepSeek, Q3 DeepSeek, Q4 Claude, Q4 DeepSeek
Google Search Console3 of 24Q1 Gemini, Q2 Claude, Q2 OpenAI API
Bing Webmaster Tools2 of 24Q1 Gemini, Q2 Claude
CiteLadder2 of 24Q1 DeepSeek, Q3 DeepSeek
Cloudflare2 of 24Q4 Gemini, Q4 Grok
crawlerpeek2 of 24Q4 Grok, Q4 DeepSeek
HubSpot AEO tools2 of 24Q1 Grok, Q2 Claude
SE Ranking2 of 24Q1 Gemini, Q2 DeepSeek

How each engine followed the prompt.

Each prompt asked for no more than 120 words. Engines that write longer answers or name more tools have more chances to name any brand, so compare mention counts with this in mind.

EngineAverage wordsAnswers over the word limitListed tools named per answerAnswers over the tool limitSources citing a site, not a page
Claude1514 of 44.8—1 of 16
OpenAI API870 of 43.0—0 of 12
Perplexity850 of 42.0—2 of 60
Gemini1000 of 45.3—28 of 28
Grok1010 of 44.3—2 of 42
DeepSeek1101 of 45.0—0 of 30

Tool counts use the 46 tools listed above, matched by name, so an answer naming other products can name more than shown. A source that links only to a site's home page is domain-level evidence: it shows which site the engine drew on, not which page, and GEOrank did not inspect a supporting page for it. 33 of 188 sources here are domain-level.

Inspect every answer.

Each question shows the exact prompt, each engine's complete answer, its model and the sources it cited. Download the stored evidence (JSON).

Question 1 · Which tools can help a small B2B marketing team inspect AI-generated answers and citations about its brand?

Exact prompt: Search the web and answer in English in 3-4 sentences, no more than 120 words: Which tools can help a small B2B marketing team inspect AI-generated answers and citations about its brand? Audience context: Founder-led B2B teams, lean marketing/growth teams and search specialists. Requested market context: not specified. This request does not establish country-local execution. Do not guarantee outcomes.

Claude

Model: claude-sonnet-5 · succeeded · 140 words (over the 120-word limit) · names 4 listed tools

Several affordable, lean-friendly options exist for inspecting how AI engines discuss your brand. OtterlyAI monitors when your brand appears in AI-generated answers and compares visibility against competitors, tracking mentions, citations, and optimization across ChatGPT, Perplexity, and Google AI Overviews, and is noted as working well for smaller teams without enterprise pricing. Semrush also tracks brand mentions, citations, and sentiment in AI-generated answers across ChatGPT, Perplexity, Gemini, Google AI Mode, and Copilot, while Ahrefs Brand Radar tracks how a brand appears across AI search surfaces, including mentions, citations, and visibility inside answers, reporting on share of voice and sentiment over time. For a quick, low-cost starting point, Omnia offers a free AI Visibility Checker that runs category-relevant prompts in ChatGPT and Google AI Mode, returning a report within minutes—useful for search specialists validating citation accuracy before investing in a paid platform.

Cited sources (4):

OpenAI API

Model: gpt-6.1-terra · succeeded · 91 words · names 3 listed tools

Ahrefs Brand Radar tracks buyer questions, brand mentions, competitors and citation sources; Semrush AI Visibility Toolkit reports mentions, cited pages and sources that cite competitors. ([ahrefs.com](https://ahrefs.com/aeo-tools?utm_source=openai)) OtterlyAI offers prompt-level monitoring with full answer text and citation links, making it useful for inspecting how a brand is described. ([help.otterly.ai](https://help.otterly.ai/prompt-detail-analysis?utm_source=openai)) For a lightweight start, manually ask ChatGPT or Perplexity a consistent set of buyer questions and record the answers and citations in a spreadsheet. Compare supported engines and plan limits before paying, and treat results as samples: answers can vary between runs. ([help.otterly.ai](https://help.otterly.ai/monitoring-interval?utm_source=openai))

Cited sources (3):

Perplexity

Model: perplexity/sonar · succeeded · 78 words · names 4 listed tools

For a lean B2B team, Otterly.AI is a low-cost starting point for tracking brand mentions and citations across AI answers. Semrush’s AI Visibility Toolkit adds prompt-level responses, cited pages, and competitor comparisons, while Peec AI offers recurring multi-model monitoring and citation reporting. Ahrefs Brand Radar is another option for broader market research across answer engines. Compare which AI platforms and prompts each tool covers, and treat their results as monitoring estimates—not guarantees of what every user will see.

Cited sources (15):

Gemini

Model: gemini-3.8-flash · succeeded · 102 words · names 7 listed tools

Dedicated generative engine optimization (GEO) and AI monitoring platforms such as Profound, Otterly.AI, and Peec AI allow lean teams to track brand citations across models like ChatGPT, Perplexity, and Gemini. Established SEO suites like Semrush and SE Ranking also feature AI visibility toolkits to monitor generative search summaries and cited source URLs alongside traditional search rankings. For budget-conscious founders, manual recurring prompt logs paired with Google Search Console and Bing Webmaster Tools provide accessible, lightweight citation checks. While these platforms help map brand sentiment and source attribution, they cannot guarantee consistent placement or traffic due to the probabilistic nature of AI answers.

Cited sources (7):

Grok

Model: grok-4.7 · succeeded · 95 words · names 5 listed tools

Purpose-built trackers help lean B2B teams inspect AI answers and citations about their brand. Otterly.ai, Peec AI, and HubSpot’s AEO tool run buyer prompts across engines such as ChatGPT, Perplexity, Gemini, and Google AI Overviews, then show mentions, cited URLs, and competitor share of voice. [[1]](https://blog.hubspot.com/marketing/llm-visibility-tools) [[2]](https://geoptie.com/blog/best-ai-citation-tracking-tools) [[3]](https://work-management.org/marketing/best-ai-citation-tracking-tools/) Otterly is often the lower-cost starting point, while Peec emphasizes source-gap analysis; teams already on Semrush or Ahrefs can use those AI visibility features instead. [[4]](https://chad-wyatt.com/tools/best-tools-to-track-ai-citations/) Plan limits and engine coverage differ, so these tools support monitoring rather than guaranteeing how a brand is described or cited.

Cited sources (4):

DeepSeek

Model: deepseek-flash · succeeded · 112 words · names 7 listed tools

Small B2B teams can choose from dedicated AI-visibility platforms (Peec, Profound, Otterly, AthenaHQ, Ahrefs Brand Radar), which track brand mentions, share of voice and cited sources across ChatGPT, Gemini, Perplexity and Google AI Overviews [4][14][15]. Low-cost options include Apify actors that log AI answers, citation positions and competitor share of voice for a few dollars per thousand checks [1][9][13], plus open-source self-hostable trackers like CiteLadder or ai-visibility [4][14]. Browser extensions give one-click checks of AI Overviews and ChatGPT/Perplexity citations for spot audits [7], and Readable-style analyzers help audit whether your key pages are structured well enough to be cited [11]. Treat composite "visibility scores" as directional, since each vendor samples differently [5].

Cited sources (9):

Question 2 · What should a founder-led B2B business use to monitor how it appears in AI search answers?

Exact prompt: Search the web and answer in English in 3-4 sentences, no more than 120 words: What should a founder-led B2B business use to monitor how it appears in AI search answers? Audience context: Founder-led B2B teams, lean marketing/growth teams and search specialists. Requested market context: not specified. This request does not establish country-local execution. Do not guarantee outcomes.

Claude

Model: claude-sonnet-5 · succeeded · 145 words (over the 120-word limit) · names 7 listed tools

For a lean, founder-led B2B team, a practical stack blends a free baseline with a focused paid tracker. Start with free first-party reports: Search Console covers Google AI Overviews and AI Mode, while Bing Webmaster Tools covers Copilot citations and citation share. HubSpot's free tool is another easy entry point, since it gives a useful baseline snapshot of how AI models currently represent your brand. For ongoing monitoring, lightweight specialist tools fit lean teams well—Otterly is often recommended as the tool I'd point a founder to who has never measured AI visibility and doesn't want to sign anything, while Peec AI suits growing B2B teams and agencies that want accurate daily AI visibility data without enterprise pricing. As the program matures, teams can layer in platforms like Ahrefs Brand Radar or Semrush's AI Visibility Toolkit for deeper competitive and citation analysis alongside existing SEO workflows.

Cited sources (4):

OpenAI API

Model: gpt-6.1-terra · succeeded · 80 words · names 3 listed tools

Use an AI visibility or answer-engine monitoring tool, such as Ahrefs Brand Radar or Semrush’s AI Visibility Toolkit, to track relevant buyer questions across AI platforms. ([help.ahrefs.com](https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it?trk=article-ssr-frontend-pulse_little-text-block&utm_source=openai)) For a lean start, regularly test a shortlist of buyer questions manually and record the answers in a spreadsheet. Track brand mentions, accuracy, cited sources and competitors—not just website rankings. Supplement this with Google Search Console’s generative AI performance report, and treat tool scores as directional: sampled answers can vary between runs. ([support.google.com](https://support.google.com/webmasters/answer/16984139?hl=en&utm_source=openai))

Cited sources (2):

Perplexity

Model: perplexity/sonar · succeeded · 98 words · names 1 listed tool

Use an AI search visibility tracker to repeatedly test a fixed set of real buyer prompts across relevant answer engines—such as ChatGPT, Perplexity, Gemini and Google AI Overviews—and log brand mentions, citations, source URLs and competitor presence. For a lean team, start with a spreadsheet and periodic manual checks, or trial a lightweight tool such as Otterly.ai; if you already use an SEO platform, check whether its AI visibility features cover your needs. Review results over time rather than treating a single answer as a ranking, since AI responses can vary. Sources: [HubSpot’s tool overview](https://blog.hubspot.com/marketing/llm-visibility-tools), [Adobe’s monitoring guide](https://business.adobe.com/blog/track-brand-mentions-in-ai-search).

Cited sources (15):

Gemini

Model: gemini-3.8-flash · succeeded · 101 words · names 4 listed tools

A founder-led B2B business should deploy dedicated Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) tracking tools—such as Profound, Peec AI, Scrunch, or Semrush’s AI Visibility toolkit—to monitor brand presence across ChatGPT, Perplexity, and Google AI Overviews. These platforms automate recurring prompt testing around high-intent buyer queries, reporting on brand citations, sentiment, and competitor share of voice. Lean growth teams can also pair these tools with web analytics to track referral traffic and monitor AI crawler activity in server logs. Because generative outputs fluctuate dynamically across models and updates, these solutions provide directional visibility benchmarking rather than guaranteed ranking outcomes.

Cited sources (8):

Grok

Model: grok-4.7 · succeeded · 111 words · names 4 listed tools

A founder-led B2B team should use a purpose-built AI visibility tool that runs a fixed set of buyer prompts on a schedule across engines customers use, such as ChatGPT, Perplexity, Google AI Overviews, and Gemini. These tools record mentions separately from citations and compare competitor share of voice, because a one-off manual check is too volatile to trust. Lean teams often start with a self-serve option such as Otterly AI or Peec AI, or an AI visibility add-on in Semrush or Ahrefs if that suite is already in use. Treat the output as directional, not a guarantee, and judge trends across repeated runs rather than any single answer. [[1]](https://blog.hubspot.com/marketing/llm-visibility-tools) [[2]](https://www.saas-hackers.com/blog/best-ai-visibility-tools) [[3]](https://www.sona.com/blog/6-best-tools-to-track-brand-mentions-across-ai-search/)

Cited sources (3):

DeepSeek

Model: deepseek-flash · succeeded · 129 words (over the 120-word limit) · names 5 listed tools

A founder-led B2B team should use a dedicated AI visibility tracker rather than relying on gut feel, since AI mentions are increasingly the deciding touchpoint—63% of B2B buyers reportedly used an AI tool during a purchase decision in the past year [7]. Practical options range from mainstream SEO suites with AI add-ons (SE Ranking's AI Search Toolkit, Semrush/Surfer-style AI Trackers) to specialist platforms like PromptScout or Nightwatch that measure share of voice against competitors [12][13][6][4]. Most track the same core metrics: mention rate, prominence/position, sentiment, cited source domains, and competitor share of voice across ChatGPT, Gemini, Perplexity and Google AI Overviews [5][10]. For a lean team, start with a limited set of real buyer-intent prompts, then audit the pages and third-party profiles (G2, Capterra, TrustRadius) most often cited [14].

Cited sources (8):

Question 3 · Which AI visibility tools suit a team that needs to inspect sources before changing website content?

Exact prompt: Search the web and answer in English in 3-4 sentences, no more than 120 words: Which AI visibility tools suit a team that needs to inspect sources before changing website content? Audience context: Founder-led B2B teams, lean marketing/growth teams and search specialists. Requested market context: not specified. This request does not establish country-local execution. Do not guarantee outcomes.

Claude

Model: claude-sonnet-5 · succeeded · 148 words (over the 120-word limit) · names 5 listed tools

Lean teams that want to vet citations before editing pages should look at tools built around a dedicated "Sources" view rather than a single opaque score. Semrush's AI Visibility Toolkit shows cited sources—the websites that AI systems reference when generating answers—and how those sources influence brand representation, while platforms like Promptwatch let users inspect the actual AI response, citation, and prompt behind every metric. Peec AI and Profound distinguish between a page merely informing an answer and one actually linked as a source, and Profound additionally offers source categorization where every citation is tagged as Owned, Competitor, Earned Media, PR Wire, Social, or Institution, which helps teams confirm evidence before rewriting pages. For founder-led or growth teams wanting source review tied directly to a publishing workflow, options like Wellows and Refine are built so teams can inspect brand appearances and linked sources separately before content changes go live.

Cited sources (4):

OpenAI API

Model: gpt-6.1-terra · succeeded · 88 words · names 3 listed tools

Peec AI suits lean teams that want to inspect sources by prompt, domain or URL and compare source gaps with competitors. ([help.peec.ai](https://help.peec.ai/article/part-5-understanding-sources-where-ai-gets-its-info-kk8l4iy1szwnn55pfxfunij6?utm_source=openai)) Semrush’s AI Visibility Toolkit is a good fit for search specialists already using Semrush: its Sources report identifies frequently cited domains and pages across tracked prompts. ([semrush.com](https://www.semrush.com/blog/track-ai-citation-sources-semrush/?utm_source=openai)) OtterlyAI offers prompt-level monitoring with individual responses and citation details, making it useful for focused reviews. ([help.otterly.ai](https://help.otterly.ai/search-prompt-monitoring?utm_source=openai)) Before changing content, inspect the cited pages and repeat relevant prompts over time; citations can vary, and visibility gains aren’t guaranteed. ([otterly.ai](https://otterly.ai/blog/ai-search-visibility-stability/?utm_source=openai))

Cited sources (4):

Perplexity

Model: perplexity/sonar · succeeded · 92 words · names 3 listed tools

For source-first review, consider Peec AI: it separates source URLs from explicit citations, shows which prompts retrieve or cite each URL, and flags gaps where competitors’ sources appear but yours do not ([documentation](https://docs.peec.ai/understanding-sources)). OtterlyAI offers cited-URL lists with prompt and engine details, plus links from a citation to the full AI answer—useful for checking context before editing ([citation tracker](https://otterly.ai/features/ai-citation-tracker)). Profound is another option if you want sources categorized as owned, competitor, earned media, and more ([citations feature](https://www.tryprofound.com/features/answer-engine-insights/citations)). These tools surface evidence to investigate; they don’t guarantee that content changes will improve visibility.

Cited sources (15):

Gemini

Model: gemini-3.8-flash · succeeded · 98 words · names 5 listed tools

For lean B2B and search teams needing source-level inspection before updating copy, dedicated AI citation trackers like Otterly.ai, Peec AI, and Profound are practical fits because they capture prompt snapshots and isolate the exact URLs cited across engines like ChatGPT, Perplexity, and Google AI Overviews. Established platforms like Semrush and Ahrefs also incorporate AI citation tracking into their suites, enabling specialists to review third-party source references directly alongside traditional search data. Evaluating these specific citations allows teams to inspect factual positioning, uncover domain-level authority gaps, and guide content adjustments based on observed source patterns rather than speculative changes.

Cited sources (6):

Grok

Model: grok-4.7 · succeeded · 99 words · names 3 listed tools

Teams that must inspect sources before editing site content should favor tools that log cited URLs and the answers around them, not score-only dashboards. Peec AI fits lean B2B marketing and growth teams: it tracks sources at domain and URL level and separates content that was used from content that was cited. [[1]](https://www.therankmasters.com/insights/ai-visibility/ai-citation-tools-url-level) OtterlyAI is a lower-cost option for founder-led teams, with citation reports and content-gap views of recurring pages. [[2]](https://www.aixindar.com/news/10-ai-visibility-tools-for-investigating-the-sources-behind-your-category) Search specialists who need filtered citation analysis and exports can evaluate Profound. [[2]](https://www.aixindar.com/news/10-ai-visibility-tools-for-investigating-the-sources-behind-your-category) These tools aid inspection; they do not guarantee that a content change will raise citations.

Cited sources (2):

DeepSeek

Model: deepseek-flash · succeeded · 102 words · names 4 listed tools

For teams that must verify sources before touching site content, look at tools that expose per-answer citation metadata rather than just share-of-voice scores. Similarweb's AI Brand Visibility shows which sources engines cite, while CiteLadder pulls citations from each engine's own citation metadata and separates "observed zero" from "unavailable," which matters for audit trails [12][6]. Signal AI's AI Citations maps visibility back to specific earned-media articles [4], and pay-per-answer Apify trackers return full answer text plus ordered source URLs for spot checks [2][3]. Evidence snapshots and raw-text capture support QA and review workflows [11]; confirm export depth and pricing on each vendor first.

Cited sources (6):

Question 4 · Which tools check whether AI crawlers such as GPTBot and ClaudeBot can read a website?

Exact prompt: Search the web and answer in English in 3-4 sentences, no more than 120 words: Which tools check whether AI crawlers such as GPTBot and ClaudeBot can read a website? Audience context: Founder-led B2B teams, lean marketing/growth teams and search specialists. Requested market context: not specified. This request does not establish country-local execution. Do not guarantee outcomes.

Claude

Model: claude-sonnet-5 · succeeded · 169 words (over the 120-word limit) · names 3 listed tools

Several free, no-signup tools let lean teams verify AI crawler access quickly. Options include the AI Crawler Checker which audits a website for AI crawler accessibility: robots.txt (GPTBot, ClaudeBot, Perplexity), llms.txt, sitemap, Schema.org, meta tags, content extractability, TTFB, LLM Pulse's checker that sees if GPTBot, ClaudeBot, PerplexityBot, and Google-Extended can crawl your site, with line-by-line analysis, and similar tools from Quanticdata, Rank Prompt, Layer3Labs, and Dashimetrics. For scale, Apify's Actor shows if GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Meta-ExternalAgent are allowed or blocked on each site in a dataset, CSV or Sheet: robots.txt, a real fetch per bot, llms.txt, plus change monitoring, useful for agencies checking many client domains at once. It's worth noting these tools mainly read robots.txt, but robots.txt is a published request, not an enforced firewall, so a CDN bot rule or a WAF can block a crawler even when robots.txt allows it, and some crawlers ignore the file entirely — so a live fetch test is a useful follow-up step rather than relying on robots.txt alone.

Cited sources (4):

OpenAI API

Model: gpt-6.1-terra · succeeded · 88 words · names 3 listed tools

Verand’s AI Crawler Access Checker tests a specific URL’s robots.txt rules, bot-labeled responses and readable page text. ([verand.ai](https://verand.ai/tools/ai-crawler-access-checker?utm_source=openai)) Fourward’s AI Crawler Checker checks robots.txt and compares homepage responses for GPTBot, ClaudeBot and other bots. ([fourwardhq.com](https://www.fourwardhq.com/tools/ai-crawler-checker/?utm_source=openai)) SEO ProCheck’s AI Crawler Checker is a free option for testing robots.txt permissions, but it does not test firewall access. ([seoprocheck.com](https://seoprocheck.com/tools/geo-ai-visibility/ai-crawler-checker/?utm_source=openai)) These tools’ bot-labeled requests may not match how a firewall treats the real crawler’s IP address, so also review server or CDN logs; access alone doesn’t guarantee inclusion in AI answers. ([verand.ai](https://verand.ai/tools/ai-crawler-access-checker?utm_source=openai))

Cited sources (3):

Perplexity

Model: perplexity/sonar · succeeded · 72 words · names 0 listed tools

Tools such as [AI Crawler Checker](https://aicrawlerchecker.com/), [Weekerp’s AI Crawlability Checker](https://weekerp.com/en/resource/ai-crawlability), and [Handiwork’s AI Crawler Accessibility Checker](https://www.handiwork.tools/tools/ai-crawler-checker) check whether robots.txt permits GPTBot, ClaudeBot, and other AI crawlers. Some also test whether the server blocks bot-like requests and inspect page signals such as noindex directives or whether useful content appears in the page’s HTML. Keep in mind that a robots.txt “allowed” result is not proof that a crawler can fetch or interpret every page.

Cited sources (15):

Gemini

Model: gemini-3.8-flash · succeeded · 97 words · names 5 listed tools

Dedicated AI crawlability checkers—such as LLMrefs, RankX AI, and Pixelmojo—simulate specific user agents (including GPTBot and ClaudeBot) to test `robots.txt` directives and live server responses. For deeper technical audits, SEO platforms like Screaming Frog allow search specialists to spoof AI user agents directly to evaluate rendering, headers, and status codes. Additionally, CDN tools like Cloudflare Bot Management alongside web server log analyzers monitor whether AI bots are actively reaching or being blocked by your edge security. Keep in mind that verifying crawl access confirms technical reachability, but it does not guarantee citation or indexing in AI-generated responses.

Cited sources (7):

Grok

Model: grok-4.7 · succeeded · 97 words · names 5 listed tools

Free checkers such as Approvalens, Attensira’s URL inspector, CrawlCheck, 365i’s AI Crawler Checker, and crawlerpeek test whether GPTBot, ClaudeBot, and similar bots can read a page, not only whether robots.txt allows them. They compare each bot’s robots.txt rule with a live request under that crawler’s user-agent and can flag firewall or Cloudflare blocks and text that appears only after JavaScript. Robots.txt-only tools such as AEO Engine, QuickSEO, and Olano are faster for policy review but can miss server-side blocks. Treat any result as a snapshot, not proof that an assistant will crawl, index, or cite the page.

Cited sources (33):

DeepSeek

Model: deepseek-flash · succeeded · 97 words · names 4 listed tools

You can check this with free browser extensions like AI Crawler Check or CuraReach's AI Visibility Checker, which read a site's robots.txt and report whether bots like GPTBot and ClaudeBot are allowed [6][14]. Open-source CLI tools such as `aicw-visibility` and `crawlerpeek` go further, testing live HTTP responses as each bot and checking llms.txt and sitemaps [15][8]. Bulk platforms like Apify actors and the GeoSuite CLI audit many domains at once and catch CDN/WAF blocks that robots.txt alone hides [3][7]. Note these test permissions rather than guaranteeing indexing or citations, and results can vary by edge configuration [1].

Cited sources (7):

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