How to See Which AI Bots Crawled Your Content (and How Fresh It Is)

To see which AI bots crawled your content and how fresh it is, use Reaudit's Content Creation > History view. It shows per-article freshness badges (Fresh, Recent, Stale) and a Crawled by AI footer listing specific bots like GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and Bingbot with crawl counts. You can sort by Most AI Crawls to identify which pages AI engines prioritize, and the data is sourced from Cloudflare logs or a built-in tracker.
What is an AI crawler and why do bot crawls matter for AI visibility?
An AI crawler is an automated agent used by companies like OpenAI, Anthropic, Google, and Perplexity to fetch and read web pages. These bots power AI answer engines, train large language models (LLMs), and build indexes that decide which URLs get cited or recommended. If AI bots never crawl your URL, your brand becomes invisible in AI search, even if your SEO looks healthy.
In 2025, bots generated 53% of global web traffic, surpassing humans (47%). AI-related bot traffic has grown approximately 7,851% year over year in some analyses. Knowing which AI bots accessed your website and whether your content is fresh enough to be cited is now a practical requirement.
How does Reaudit show which AI bots crawled my content?
Reaudit's Content Creation > History tab gives you per-article visibility into AI bot activity. Every published article includes a Crawled by AI footer that lists the specific AI bots that fetched that URL. Each bot appears as a brand icon with a hover tooltip showing the bot name (e.g., GPTBot/OpenAI, ClaudeBot/Anthropic, PerplexityBot, Google-Extended/Gemini, Bingbot/Copilot) and how many times it crawled the page.
A total crawl-count badge per article lets you quickly assess AI interest. You can sort the entire history by Most AI Crawls or Least AI Crawls, so you immediately see which pages AI engines care about, and which ones they ignore.
The data comes from two sources: if you connect Cloudflare to Reaudit, the crawl data is authoritative, every request seen at the edge, broken down per bot. If Cloudflare isn't connected, Reaudit falls back to its own lightweight tracking plugin (sample-level). The UI clearly labels the source as via Cloudflare or via tracker, so you always know how reliable the number is.
How does Reaudit measure content freshness for AI?
Freshness matters because AI answer engines weight recent content more heavily for categories like news, product, pricing, and compliance. Stale content is less likely to be surfaced or cited. Reaudit's History tab shows a FRESHNESS badge based on the last updated/optimized date:
Fresh, updated within the last 0–30 days
Recent, updated 31–90 days ago
Stale, updated over 90 days ago
Each badge includes a relative label like Updated 12 days ago. This gives you an editorial prioritization engine: refresh Stale articles that matter for AI visibility first.
How do I find the freshness and AI crawl view inside Reaudit?
Open Reaudit, Log in to your Reaudit workspace.
Go to Content Creation > History, In the sidebar, select Content Creation, then click the History tab.
Read the freshness badge, Next to each article, look for the Fresh, Recent, or Stale badge with a relative label.
Check the Crawled by AI footer, Under each article, see which AI bots crawled it and how many times.
Sort by AI crawl activity, Use the sort controls to switch to Most AI Crawls or Least AI Crawls to surface AI-favorite or AI-ignored pages.
Flying blind vs. seeing freshness + AI crawls in Reaudit
State | After publishing with no AI visibility | With Reaudit's freshness + AI crawl view |
|---|---|---|
Content freshness awareness | Last modified dates buried in CMS; no freshness classification | Clear Fresh/Recent/Stale badges with Updated X days ago |
AI bot crawl visibility | No per-URL view; need to dig into raw logs or ask your CDN | Per-article Crawled by AI footer with specific bots + counts |
AI engine interest per article | Unknown which URLs AI engines care about | Sortable by Most/Least AI Crawls to see which pages bots revisit |
Data source clarity | Mixed server/CDN data, usually opaque | Explicit labels: via Cloudflare (authoritative) or via tracker |
AI workflow integration | Manual spreadsheets and log exports | Freshness + crawl data available via Reaudit MCP get_content_history |
Publishing confidence | Publishing into a void | Know which AI bots crawled which articles and how fresh they are |
How does this influence content strategy going forward?
With Reaudit's per-article freshness and AI crawl data, you can:
Prioritize refreshes based on AI interest, Sort by Most AI Crawls, then upgrade Stale pages that AI bots clearly care about.
Rescue high-value but AI-ignored content, Sort by Least AI Crawls and investigate internal linking, sitemaps, or technical accessibility issues.
Measure AI search experiments, Watch how quickly AI bots begin crawling new URLs and whether freshness drives higher crawl counts.
Report AI visibility as a metric, Track share of content crawled by GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and Bingbot, plus percentage of key URLs in Fresh/Recent state.
What else can Reaudit do for AI search visibility?
Reaudit is an AI search optimization platform that goes beyond crawl tracking. It monitors your brand's AI share of voice across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It scores content for AI-readability, generates AI-optimized content, and provides GEO (Generative Engine Optimization) recommendations. The same freshness and crawl data is also available through the Reaudit MCP server's get_content_history tool, so AI assistants connected to Reaudit can see it programmatically.
FAQ
What does 'Crawled by AI' mean in Reaudit? It shows which specific AI bots (like GPTBot, ClaudeBot, PerplexityBot) have fetched your article's URL, along with how many times each bot crawled it. This helps you understand which AI engines are paying attention to your content.
How does Reaudit know which AI bots crawled my site? If you connect Cloudflare, Reaudit reads edge logs for authoritative, per-request data. If not, it uses a lightweight tracking plugin that records bot-crawl events at the page level. The source is always labeled.
Can I see which AI crawlers visited my website in real time? Reaudit's crawl data updates periodically based on Cloudflare logs or tracker events. It's not real-time but gives you a clear picture of recent AI bot activity per article.
How often should I check which AI bots accessed my content? Weekly or bi-weekly is a good cadence. After publishing new content, check within the first few days to see if AI bots have discovered it. Sort by Least AI Crawls to identify pages needing technical fixes.
Does Reaudit track AI content scrapers like GPTBot and ClaudeBot? Yes. Reaudit tracks GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, Google-Extended (Gemini), Bingbot (Copilot), and more. Each bot is listed with its crawl count per article.
How does content freshness affect AI citations? AI answer engines weight freshness heavily for categories like news, product, pricing, and compliance. Stale content (over 90 days old) is less likely to be cited. Reaudit's Fresh/Recent/Stale badges help you prioritize updates.
Can I monitor AI bot traffic analysis across my entire site? Yes. Reaudit's History tab shows all published articles with crawl data. You can sort by Most AI Crawls to see which pages get the most AI bot attention, and filter by freshness to find stale high-traffic content.
What is the Reaudit MCP server and how does it help? The Reaudit MCP server exposes tools like
get_content_historythat let AI assistants (e.g., internal copilots) query freshness and crawl data programmatically. This enables automated editorial workflows and AI-driven content planning.Is Reaudit only for large enterprises? No. Reaudit serves SaaS, e-commerce, digital agencies, and enterprise brands of all sizes. It's designed for teams that want to understand and improve their AI search visibility, from startups to global brands.
How does Reaudit compare to manual log analysis? Manual log analysis requires pulling raw server logs, filtering user agents, and rebuilding for every URL, time-consuming and error-prone. Reaudit automates this at the article level, with clear labels and sortable views, saving hours of engineering time.
Stop publishing into a void. Try Reaudit to see which AI bots crawled your content and how fresh it is, every article, every bot, every time.