ChatGPT answers, unedited

If your goal is specifically “tell me when AI crawlers are spending a disproportionate amount of crawl budget on duplicate, thin, or otherwise low-value URLs,” I’d start with developers.cloudflare.com.

It’s a particularly good fit because it can break AI-crawler activity down by crawler, operator, path, and URI pattern, and export the underlying data. Cloudflare Docs Cloudflare Docs

How I’d use it

Set up a simple “wasted AI crawl” metric:

AI crawler requests to low-quality/duplicate URLs ÷ total AI crawler requests

For example, classify URLs into:

• Duplicate/canonicalized pages
• Faceted/filter URLs
• Pagination variants
• Thin tag/archive pages
• Search-result URLs
• Parameters and tracking URLs
• 404/redirect-heavy URLs

Then alert when, say, >30% of GPTBot/ClaudeBot/PerplexityBot requests are going to those classes, or when the percentage jumps sharply week-over-week.

Cloudflare gives you the important raw dimensions for doing this: crawler, path/pattern, status code, hostname, and date range. Its GraphQL API also exposes the same analytics for building a custom alert/dashboard. Cloudflare Docs Cloudflare Docs

If you want less DIY

Ahrefs Bot Analytics is worth looking at. It tracks which bots visit your site, how frequently, and which pages they crawl, including AI assistants. Ahrefs Help Center

For a very lightweight crawler-focused dashboard, crawlerlogs.com is another interesting option; it specifically exposes per-page crawl rates, AI bots, and pages being ignored. crawlerlogs.com

My pick: Cloudflare if you want an actual disproportionate/“wasted crawl” alerting system; Ahrefs if you primarily want SEO-friendly bot analytics without building as much yourself.

I’d recommend oncrawl.com for this specific use case.

Why it fits:

• AI-crawler visibility: Oncrawl’s Log Analyzer identifies activity from OpenAI, Perplexity, Claude, Gemini, Mistral, and other AI bots. Oncrawl - Technical SEO Data Oncrawl Help
• URL-level analysis: You can see which pages those bots are actually hitting, rather than just getting aggregate bot counts. Oncrawl - Technical SEO Data
• Low-quality/duplicate filtering: Its AI Search Lens can exclude page types such as pagination, filters, and low-content pages, making it easier to identify whether AI crawlers are disproportionately spending time on pages you don't particularly want crawled. Oncrawl Help
• Good for an automated “wasted crawl” signal: You can combine AI-bot hits with page-quality characteristics and segment the results, then monitor the pattern over time. Oncrawl also exposes an API for exporting data into your own reporting/workflow stack. Oncrawl - Technical SEO Data

If you want a simpler alternative

ahrefs.com is worth looking at if your primary need is “Which bots are hitting which URLs, and how often?” It currently tracks bots across 12 categories, including AI assistants, and is free during its beta. Ahrefs Help Center

My pick: Oncrawl if you specifically want to flag AI-crawler concentration on duplicate/thin/low-value URL segments; Ahrefs if you mainly need straightforward bot-traffic monitoring.

If you tell me your stack (Cloudflare/CDN, server logs, GA4, etc.), I can also suggest a specific alert/report setup for detecting “AI bots are spending >X% of their crawl budget on low-value pages.”

If your goal is specifically “tell me when AI crawlers are wasting crawl budget on duplicate, thin, or low-value pages”, I’d look at log-based crawler analytics rather than a normal SEO crawler.

My top picks:

1. Ahrefs Bot Analytics — best general-purpose choice

ahrefs.com

Good fit if you already do SEO reporting. It can show:

• Which AI crawlers are hitting your site
• Which URLs they crawl most
• Bot categories and page-level crawl activity
• Waste signals like crawlers spending time on 404s or low-value URLs Ahrefs

Best for: SEO teams that want AI crawler visibility alongside traditional SEO tooling.

2. LogLens — best if you want alerts/anomaly detection

loglens.ai

This is closer to a “crawler monitoring system.” It analyzes server/CDN logs and can surface:

• AI crawler activity (GPTBot, ClaudeBot, Perplexity, etc.)
• Which pages those crawlers hit
• Sudden crawl spikes
• Suspicious or spoofed bot behavior
• Crawl waste patterns tied to URLs LogLens LogLens

Best for: Large sites where you want “alert me when AI bots suddenly start hammering junk URLs.”

3. EdgeComet SEO Log Analyzer — best for diagnosing duplicate/low-quality crawl waste

edgecomet.com

More focused on answering:

• “Which pages are bots repeatedly crawling?”
• “Are duplicate URLs consuming crawl attention?”
• “Are low-value pages stealing bot resources?” EdgeComet

Best for: Technical SEO audits and cleanup projects.

What I’d choose

• Enterprise/content-heavy site: LogLens or EdgeComet
• SEO team already using Ahrefs: Ahrefs Bot Analytics
• Need a custom internal dashboard: ingest CDN/server logs (Cloudflare, Nginx, Apache) and score pages by: - AI crawler hits/page
• % duplicate-content similarity
• word count/thin-content score
• indexability (noindex, canonical, robots rules)
• conversion value

The key metric I’d watch is not just “AI crawler volume,” but:

AI crawler requests spent on non-canonical, duplicate, thin, or non-converting URLs ÷ total AI crawler requests

That ratio tells you whether AI bots are consuming attention on pages you don’t want represented.

If your goal is specifically “tell me when AI crawlers are spending too much time on duplicate, thin, or low-value URLs”, I’d look at server-log-based crawl analytics, not normal SEO rank trackers.

My top picks:

1. Ahrefs Bot Analytics — best overall for most teams

Ahrefs Bot Analytics

Why it fits:

• Tracks AI crawlers (such as GPTBot, ClaudeBot, and others) and shows which URLs they crawl. help.ahrefs.comahrefs.com
• Lets you identify patterns like:
  • AI bots repeatedly hitting parameter URLs
  • crawlers spending time on 404s
  • low-value pages receiving disproportionate attention
  • crawl waste by bot type help.ahrefs.comahrefs.com
• Uses server-side data via Cloudflare rather than relying on browser analytics. help.ahrefs.comahrefs.com

Best for: SEO teams already using Ahrefs.

2. EdgeComet Log Analyzer — best if your main problem is duplicate/low-quality pages

EdgeComet SEO Log Analyzer

Why it fits:

• Focuses heavily on crawl waste diagnosis:
  • duplicate URLs
  • low-value pages
  • over-crawled sections
  • pages getting bot attention that you don’t want prioritized edgecomet.comahrefs.com
• Better suited if you want to answer: “Which URL patterns are attracting crawlers and should be fixed?”

Best for: large sites with faceted navigation, archives, tag pages, ecommerce filters, or CMS-generated URLs.

3. LogLens — best lightweight AI crawler monitoring

LogLens

Why it fits:

• Built specifically around crawler logs.
• Tracks AI bots page-by-page and correlates crawler activity with sitemap and robots.txt data. loglens.aiahrefs.com
• Useful for spotting:
  • “AI bots keep returning to these junk URLs”
  • “important pages are never being crawled”
  • “fake bots are spoofing AI crawler user agents” loglens.aiahrefs.com

Best for: teams wanting a focused AI crawler dashboard rather than a full SEO suite.

What I’d implement regardless of tool

Create an alert like:

AI crawler waste ratio > 30%

Trigger when GPTBot/ClaudeBot/etc. spend more than 30% of crawl requests on:

• duplicate canonical URLs
• faceted/filter URLs
• thin tag/category pages
• 404s
• pages with <X words or low engagement

The data you need:

1. Bot identity (verified, not just User-Agent)
2. URL pattern
3. HTTP status
4. canonical URL
5. content quality score
6. crawl frequency over time

For a large ecommerce/content site, I’d lean EdgeComet or Ahrefs Bot Analytics. For a technical SEO team focused on AI crawlers specifically, I’d test LogLens first. ahrefs.com

If your specific goal is “tell me when AI crawlers are spending a disproportionate amount of crawl budget on duplicate, thin, or low-value URLs,” I’d pick Cloudflare AI Crawl Control as the monitoring layer.

Why it fits:

• It identifies AI crawlers such as GPTBot, ClaudeBot, and PerplexityBot and shows requests by individual URL/path and crawler. developers.cloudflare.com
• You can group requests by URL patterns, which makes things like /tag/*, parameterized URLs, faceted navigation, or duplicate templates easy to spot. developers.cloudflare.comdevelopers.cloudflare.comsupport.botify.com
• Its GraphQL API lets you export the crawler/path data and build your own “AI crawl waste” score or alert. developers.cloudflare.com
• It can subsequently block or allow particular AI crawlers. developers.cloudflare.com

One caveat: Cloudflare doesn't inherently know that a page is “low quality” or duplicate. I'd pair it with an SEO crawler such as Botify. Botify identifies duplicate content and other URL-level SEO problems, while its analytics can combine bot/crawl behavior with individual URL characteristics. support.botify.com

The setup I'd use

AI crawler logs → URL classification → crawl-waste ratio → alert

For example, flag a URL segment when:

AI crawler requests ÷ total AI crawler requests is high and the segment has a high percentage of duplicate/thin/no-index URLs.

That gets you much closer to the question you're actually asking than a generic “AI bot analytics” dashboard.

If you want one product with the least custom work, I'd start with Cloudflare. If you want SEO-quality diagnosis + AI crawl behavior, I'd use Cloudflare + Botify. 

If your specific goal is “tell me when AI crawlers are spending a disproportionate amount of crawl activity on duplicate, faceted, thin, or otherwise low-value URLs,” I’d recommend Botify LogAnalyzer.

Why it fits:

• It analyzes your actual server/CDN logs, rather than estimating crawler behavior. www.botify.com
• It identifies AI crawlers including GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, PerplexityBot, and others. support.botify.com
• You can segment URLs and compare crawler activity against your site's priority content, which is useful for spotting crawl-budget waste on redundant URLs. www.botify.com
• It is designed to identify situations where bots are crawling thousands of redundant URLs while missing higher-value pages. www.botify.com

A good alternative: Cloudflare AI Crawl Control. It's particularly attractive if you're already behind Cloudflare: it gives you AI-crawler requests by crawler, operator, path, and URL pattern, plus bandwidth and status-code metrics. developers.cloudflare.com

The distinction I'd make:

If you want an actual “AI crawler waste score”—e.g. “GPTBot spent 42% of requests on duplicate/low-value URLs this week, up 18%”—I'd lean toward Botify, but I'd verify whether their current alerting can produce exactly that metric rather than assuming it does. www.botify.com

Yes — Ahrefs Bot Analytics is probably the closest fit to what you're describing.

It specifically tracks AI crawlers by URL and can surface bots spending disproportionate crawl activity on 404s and low-value pages. It works server-side through Cloudflare, so you don't need JavaScript on the site. ahrefs.com

Why I'd pick it

• AI-specific filtering: isolate AI crawler traffic from search, social, SEO, and other bots.
• URL-level analysis: see which pages each crawler is hitting.
• Low-value-page detection: Ahrefs explicitly reports bot activity on 404s and low-value pages, which is very close to your "disproportionately hit duplicate/low-quality pages" requirement. ahrefs.com
• Server-side: captures bot requests without relying on client-side analytics. ahrefs.com

If you want more raw/real-time infrastructure visibility, I'd also look at Cloudflare AI Crawl Control. It breaks AI crawler traffic down by crawler, path, status code, and URI patterns, and can identify robots.txt violations. developers.cloudflare.com

One caveat: neither tool, as documented, automatically gives you a sophisticated "duplicate-content quality score × AI-crawl share" alert. For that, I'd combine crawler logs with your canonical/duplicate-page data and alert on something like:

AI crawler requests to duplicate/low-quality URLs ÷ total AI crawler requests > X%

If that's specifically the metric you're after, Ahrefs + a custom alert/dashboard is the route I'd recommend.

If you want a tool specifically for flagging when AI crawlers are spending disproportionate effort on duplicate, thin, or low-value pages, I’d look at server-log-based crawler analytics rather than traditional SEO crawlers.

A few good options:

Ahrefs Bot Analytics

Ahrefs Bot Analytics
Best fit if you already use Ahrefs. It tracks AI crawlers and lets you see which URLs they hit, including patterns like bots repeatedly visiting low-value pages or wasting crawl budget. help.ahrefs.com

Useful signals to build alerts around:

• AI crawler hits to pages with duplicate titles/canonical conflicts
• AI crawler share concentrated on tag/search/filter URLs
• high crawl volume on 404s, redirects, or thin pages
• AI bot crawl growth without corresponding value pages being accessed

LogLens

LogLens
More specialized for this exact problem. It ingests server/CDN logs and correlates crawlers with URLs, sitemaps, robots.txt, and crawl behavior. It is designed to identify crawler waste, unusual crawler patterns, and AI bot activity such as GPTBot/ClaudeBot/Perplexity traffic. loglens.aijetoctopus.comhelp.ahrefs.com

JetOctopus Log Analyzer

JetOctopus Log Analyzer
Good for enterprise SEO teams doing crawl-budget analysis. It combines log data with SEO signals to understand where bots spend time and where crawl problems exist. jetoctopus.com

If you want to build your own alerting

The stack I’d use:

1. Collect logs
   • Cloudflare Logs / AWS CloudFront / Nginx / Apache

2. Classify requests
   • Bot identity (GPTBot, ClaudeBot, Perplexity, etc.)
   • URL pattern
   • Status code
   • Canonical/indexability state

3. Score pages

Example anomaly:

• AI crawler requests ↑ 300%
• 80% of requests go to /tag/, /filter/, duplicate parameter URLs, or near-identical pages
• low organic traffic + no conversions

4. Alert
   • “GPTBot spent 72% of crawl requests on duplicate product filter URLs this week”
   • “ClaudeBot hit 14,000 pages, 61% are canonicalized duplicates”

For most sites, I’d start with Ahrefs Bot Analytics for simplicity or LogLens if the main goal is AI crawler behavior and crawl waste detection. loglens.aijetoctopus.comhelp.ahrefs.com

Yes. My first pick is Ahrefs Bot Analytics.

It’s particularly close to what you’re describing because it can:

• Identify AI crawlers separately from other bots.
• Show which URLs each crawler is hitting and how often.
• Flag crawl waste involving 404s and low-value pages.
• Let you compare crawler behavior against your site's URL structure.
• Work server-side through a Cloudflare integration, so it doesn't depend on JavaScript. ahrefs.com

If you specifically want “disproportionate” detection

I'd pair it with Cloudflare AI Crawl Control. It gives you AI-crawler request counts broken down by crawler, operator, hostname, path, and URI pattern, which makes it possible to spot things like:

“ClaudeBot is making 40% of its requests against /tag/* and duplicate parameterized URLs, even though those pages represent only 5% of our content.”

Cloudflare also lets you export the metrics and control individual crawlers. ahrefs.comdevelopers.cloudflare.com

For your exact use case, I'd choose Ahrefs if you want an SEO-oriented dashboard, and Cloudflare if you want rawer crawler/request intelligence and the ability to act on it.

There's also a newer specialist tool, LogLens, that explicitly ties AI-crawler logs to your sitemap, GSC, and robots.txt, which could be interesting if your goal is detecting which kinds of pages are disproportionately being crawled. loglens.ai

If you tell me roughly how many URLs your site has and whether you're on Cloudflare, I can recommend the best setup (including a concrete “AI crawler waste score” to flag duplicate/low-quality crawl patterns).

Yes. My first recommendation is Ahrefs Bot Analytics if your goal is specifically to detect AI crawlers spending a disproportionate amount of crawl activity on low-value URLs.

Why it fits:

• Separates AI crawlers from other bot categories. ahrefs.com
• Shows which pages bots crawl most.
• Explicitly identifies bots wasting crawl budget on 404s or low-value pages. ahrefs.com
• Server-side tracking means it sees crawler activity that JavaScript analytics won't.
• It can integrate with Cloudflare logs, so you don't need to build a log-analysis pipeline yourself. ahrefs.com

If duplicate-page detection is the important part

I'd pair it with Botify. Botify's SiteCrawler analyzes content uniqueness, thin content, and similarities/duplicates, while LogAnalyzer lets you correlate crawler activity with low-value/redundant URL segments. support.botify.com

So the strongest setup is:

AI crawler traffic → Ahrefs Bot Analytics → identify over-crawled URL patterns → Botify → determine whether those URLs are duplicate/thin → fix/block/reroute them.

Lightweight alternative

If you're already on Cloudflare, Cloudflare AI Crawl Control is probably the easiest starting point. It breaks AI crawler activity down by crawler, operator, path and URI pattern, and can show which paths receive the most requests. ahrefs.comsupport.botify.comdevelopers.cloudflare.com

One caveat: none of these is quite a turnkey “AI crawler is wasting 37% of its crawl on duplicate pages” detector. The useful metric to build is something like:

AI crawl waste = AI requests to duplicate/thin/parameterized/404 URLs ÷ total AI crawler requests

If that's the exact signal you're after, I can recommend a tool that gets closest to that and show you how I'd configure the alert/dashboard.

I’d recommend Botify for this use case.

Its combination of LogAnalyzer + SiteCrawler is unusually well suited to the question you’re asking:

• LogAnalyzer uses server logs to show which crawlers are actually hitting your site and which URL sections they’re spending crawl activity on. That makes it possible to spot disproportionate crawling of particular page types. support.botify.com
• SiteCrawler independently scores pages for thin content, content uniqueness, and duplicates, including similarity scores and percentage content uniqueness. support.botify.com
• You can then segment the data by page type and create alerts for problematic metrics, which is close to the workflow you described: “AI crawler X is disproportionately hitting page class Y, and Y has high duplication/low content quality.” support.botify.com

Botify

One caveat

Botify is primarily an enterprise SEO/crawl analytics platform, rather than a purpose-built “AI crawler waste detector.” If you specifically want to distinguish GPTBot, ClaudeBot, PerplexityBot, etc. and automatically flag something like:

“ClaudeBot generated 42% of its requests on pages with >80% content similarity, despite those pages representing only 8% of the site.”

you may want a server-log analytics tool/custom pipeline on top of Botify—or a newer AI-bot-specific log analyzer. Raw server logs are the right data source for that analysis because analytics packages generally don't see crawler requests. support.botify.com

If you tell me your stack (Cloudflare, Nginx, Apache, AWS, etc.), I can recommend 2–3 tools specifically for this AI-crawler-vs-duplicate-content problem, including a lightweight option.

I’d recommend Ahrefs Bot Analytics for this specific use case.

Why it fits:

• It identifies AI crawlers by bot—including GPTBot, ClaudeBot, and others—and shows which URLs they crawl. help.ahrefs.comahrefs.com
• It has a Crawled Pages view, so you can see whether AI bots are disproportionately spending requests on particular URL groups. help.ahrefs.com
• It explicitly surfaces 404 and low-value-page crawling, which is close to the “AI crawler waste” signal you're describing. help.ahrefs.comahrefs.com
• Because it uses server-side Cloudflare data, it sees bot requests that client-side analytics tools miss. help.ahrefs.comahrefs.com

One caveat: it doesn't appear to have a turnkey alert that says “AI crawler X is disproportionately crawling duplicate pages.” For that, I'd pair it with Botify: Botify can quantify page-to-page similarity (including ≥50%, ≥75%, and ≥90% duplicate-content thresholds) and separately report AI-bot URL activity. support.botify.com

So my pick would be:

Ahrefs Bot Analytics → easiest monitoring/alerting foundation
Botify → stronger if duplicate-content analysis is the core requirement

If you tell me your stack (Cloudflare, Fastly, AWS, etc.), I can recommend the most direct setup for actually flagging “AI crawler spent 40% of requests on duplicate/low-value URLs.”

If your specific goal is “tell me when AI crawlers are spending a disproportionate amount of crawl budget on duplicate, thin, or low-value URLs,” I’d recommend Botify.

Why it fits:

• It analyzes server logs, so you see what AI crawlers actually requested rather than relying on estimates. support.botify.com
• It identifies AI bots including GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, and others. support.botify.com
• Its LogAnalyzer can break down URLs crawled by AI bots by segment, which is the key capability for spotting “AI bots are disproportionately crawling this low-value section.” support.botify.com
• You can combine that with your own URL segmentation—e.g. ?sort=, faceted URLs, duplicate product pages, tag pages, archives—to calculate something like % of AI crawl requests → % of low-value URLs.

Cheaper/simpler alternative

Ahrefs Bot Analytics is worth trying if you don't need the deeper log-analysis workflow. It tracks which bots visit and which pages they crawl, including AI assistants, and is currently free in beta. help.ahrefs.com

If you're already on Cloudflare

Cloudflare AI Crawl Control is excellent for monitoring and controlling AI crawlers, including request trends and crawler activity. developers.cloudflare.com But I'd consider it more of a crawler visibility/control layer than a dedicated “duplicate/low-quality crawl waste detector.”

My pick: Botify if this is a serious SEO/content operation; Ahrefs if you want a lightweight starting point; Cloudflare if you're primarily trying to monitor and control AI-bot traffic at the infrastructure layer.

If your specific goal is “show me when AI crawlers are over-indexing on duplicate, thin, or otherwise low-value URLs,” I’d recommend Oncrawl.

Oncrawl

Why it fits:

• AI-bot log monitoring: Oncrawl tracks AI crawlers in server logs and maintains a supported-bot list. help.oncrawl.com
• Page-quality analysis: Its crawl data can be combined with content/SEO metrics, so you can segment URLs by things like duplicate content, thin content, indexability, and other quality signals.
• Disproportionate-hit analysis: The useful setup is to compare AI-crawler hits per URL/URL segment against your site's total URL population. That lets you identify patterns such as “AI bots are spending 42% of their requests on pages that represent only 8% of our URLs.”
• AI Search Lens: Oncrawl now explicitly combines crawl and log data to show which parts of a site AI systems crawl/cite versus ignore. www.oncrawl.com

A cheaper/simpler alternative

If you mainly want the raw crawler → URL relationship rather than a full technical-SEO platform, Scrawl's AI Bot Log Analyzer is worth trying. You can upload/paste access logs and see which AI crawlers hit which URLs. scrawl.tools

urlScrawl AI Bot Log Analyzerturn0search3

My pick: Oncrawl for a production SEO team; Scrawl for quickly validating whether you actually have an AI-crawler/low-quality-URL problem.

If you tell me your stack (Cloudflare/Nginx/Apache + CMS), I can also suggest the exact metric/dashboard I’d build to flag this automatically.

If your specific goal is “tell me when AI crawlers are spending a disproportionate amount of crawl activity on duplicate, thin, or otherwise low-value URLs,” I’d recommend Ahrefs Bot Analytics.

urlAhrefs Bot Analyticsturn0search1

Why it fits:

• Server-side bot tracking, so it sees crawler requests that Google Analytics/JS analytics miss. help.ahrefs.com
• Breaks activity down by individual AI crawlers and shows the specific pages they crawl. help.ahrefs.com
• Its reports explicitly identify bots spending crawl activity on 404s and low-value pages. ahrefs.com
• You can compare absolute vs. relative crawl share, which is useful for spotting disproportionate behavior.
• It integrates with Cloudflare, via Logpush or a Worker, rather than requiring a JavaScript tag. ahrefs.com

One caveat

Ahrefs is strongest at answering “which AI bots are hitting which URLs?” It doesn't appear to natively produce the exact composite alert you described—e.g. “GPTBot devoted 42% of its requests to URLs that are 90%+ duplicates of other pages.”

For that, Botify is probably the stronger complement. Its SiteCrawler identifies duplicate content, similarities, thin content, word count, and content-vs-template uniqueness. support.botify.com You could combine that URL-quality dataset with server logs to calculate an AI-crawler waste rate.

urlBotify SiteCrawlerturn0search2

My pick:
Ahrefs Bot Analytics if you want something you can deploy relatively quickly. Botify + log analysis if this is for an enterprise SEO/technical SEO operation where you want a genuine AI crawl waste / quality monitoring system.

If you tell me your stack (Cloudflare, Nginx, Apache, etc.), I can also recommend a tool that automatically alerts when AI crawl share of duplicate/low-quality URLs crosses a threshold.

If your goal is specifically “tell me when AI crawlers are spending a disproportionate amount of crawl budget on duplicate, thin, or low-value URLs,” I’d look at LogLens first.

LogLens tracks AI crawler requests at the URL level—including GPTBot, ClaudeBot, Perplexity, Google-Extended, and others—and can correlate crawl activity with your sitemap, GSC, and robots.txt. It also verifies crawler IPs rather than trusting the User-Agent alone. loglens.ai

Why it fits your use case

You could build a signal such as:

AI crawl waste = AI-bot requests to duplicate/thin URLs ÷ total AI-bot requests

Then alert when, say, >30% of AI crawler requests over a 24-hour period hit:

• canonical duplicates
• URL-parameter variants
• tag/search/filter pages
• thin pages
• 404/soft-404 pages
• pages excluded from your sitemap
• pages with very little indexable content

Cloudflare AI Crawl Control is the strongest alternative if you're already behind Cloudflare. It gives you AI-crawler request volumes, popular paths, trends, and per-crawler activity, and lets you filter activity by paths/hostnames. developers.cloudflare.com

Cloudflare AI Crawl Control

For a more SEO-oriented option, Ahrefs Bot Analytics tracks which bots visit which pages and how frequently, including AI assistants. help.ahrefs.com

My pick: LogLens for the specific “AI crawlers are wasting crawl volume on bad/duplicate URLs” problem; Cloudflare if you also want to enforce rate limits/blocking at the edge.

If you tell me what stack you use (Cloudflare, Nginx, AWS, Vercel, etc.), I can recommend the best setup and the exact alert logic.

If your goal is specifically to flag when AI crawlers are spending a disproportionate amount of time on duplicate, thin, or low-value pages, you generally need a log file analysis tool, not just a site crawler.

Here are the strongest options:

1. urlLogLensturn0search2 (best fit)
   • Tracks AI crawlers like GPTBot, ClaudeBot, and others from server logs.
   • Shows which sections of your site receive crawler traffic.
   • Makes it easy to spot when bots are wasting requests on parameter URLs, archives, duplicates, or other low-value content instead of important pages. loglens.ai

2. urlDemandSphere Analytics AXturn0search8
   • Enterprise-grade crawl analytics.
   • Separates AI bots from Googlebot and Bingbot.
   • Highlights crawl-budget waste, orphan pages, duplicate URL patterns, and unusual crawler behavior.
   • Good if you manage a large site with millions of requests. www.demandsphere.com

3. Screaming Frog SEO Spider
   • Doesn't monitor AI crawler traffic directly.
   • Excellent for finding duplicate pages, thin content, parameter URLs, and canonicalization issues before they become crawler magnets.
   • Often paired with log analysis tools. www.techradar.com

Recommended workflow

For most organizations:

• LogLens or Analytics AX → identify where AI crawlers are actually spending time.
• Screaming Frog → investigate why those URLs exist and whether they're duplicate or low quality.
• Fix with canonical tags, redirects, noindex, robots rules (where appropriate), or consolidation.

This combination answers both:

• "Are AI crawlers disproportionately hitting junk pages?"
• "What should I fix to reduce that waste?"

If you're running a site with 100k+ URLs, I'd lean toward LogLens because it's built around server-log analysis rather than simulated crawls, making it much better at measuring real AI crawler behavior.

If your goal is specifically to flag when AI crawlers are spending a disproportionate amount of time on duplicate, thin, or otherwise low-value pages, you need a tool that combines server log analysis with crawler segmentation. A few good options are:

1. urlAhrefs Bot Analyticsturn0search7 (best for most teams)
   • Separates AI crawlers (GPTBot, ClaudeBot, PerplexityBot, etc.) from search bots.
   • Shows which URLs and sections AI bots hit most often.
   • Makes it easy to spot if bots are wasting requests on faceted navigation, tag pages, archives, or duplicate URLs instead of important content. ahrefs.com

2. urlDemandSphere Analytics AXturn0search5 (best for enterprise)
   • Purpose-built log analysis.
   • Tracks AI crawler behavior in real time.
   • Highlights crawl budget wasted on parameter URLs, duplicate content, and low-value pages.
   • Includes anomaly alerts if crawler behavior suddenly shifts. www.demandsphere.com

3. urlLogLensturn0search0 (best for SEO-focused monitoring)
   • Monitors Googlebot and AI crawlers.
   • Flags crawler frequency changes and shows crawl distribution by site section.
   • Lets you quickly identify if AI bots are concentrating on admin paths, redirects, 404s, or other non-valuable URLs instead of your content. loglens.ai

If you also want to identify the duplicate or low-quality pages themselves, pair one of the above with a crawler such as Screaming Frog SEO Spider. Recent versions can detect semantically similar pages (not just exact duplicates), making it easier to correlate "AI bots spend 40% of their requests here" with "these pages are near-duplicates and should be consolidated." www.techradar.com

For most organizations, the workflow looks like this:

• Screaming Frog → identify duplicate/thin/low-value URLs.
• Ahrefs Bot Analytics (or DemandSphere if you're an enterprise) → measure how much AI crawler traffic those URLs receive.
• Prioritize consolidating or noindexing pages that attract a disproportionate share of AI crawler requests relative to their business value.

That combination gives you both sides of the picture: which pages are low quality and whether AI crawlers are over-investing in them.

If your goal is specifically to detect when AI crawlers are spending an outsized share of requests on duplicate, thin, or otherwise low-value pages, I'd prioritize log-analysis tools over traditional SEO crawlers. They can see what bots actually request, rather than just what exists on your site.

Here are the strongest options:

1. urlAhrefs Bot Analyticsturn0search4 (best for most teams)
   • Tracks AI crawlers such as GPTBot, ClaudeBot, and others separately from search bots.
   • Lets you filter AI bot traffic and identify which URLs receive the most crawler attention.
   • Useful for spotting patterns like parameter URLs, faceted navigation, duplicate pages, or thin content attracting disproportionate AI crawler traffic. ahrefs.com

2. urlDemandSphere Analytics AXturn0search7 (best for enterprise)
   • Purpose-built for crawl budget analysis.
   • Explicitly identifies crawl-budget waste on duplicate URLs, faceted navigation, and low-value pages.
   • Monitors GPTBot, ClaudeBot, PerplexityBot, and other AI crawlers with anomaly alerts and detailed log analysis. www.demandsphere.com

3. urlLogLensturn0search0 (best if you want actionable alerts)
   • Analyzes server logs in real time.
   • Flags crawler frequency changes, disappearing crawlers, 404 spikes, and sections consuming excessive crawl activity.
   • Correlates crawler traffic with your sitemap to highlight URLs being crawled that shouldn't be, and important URLs that aren't. loglens.ai

If you also want to identify which pages are low quality

Pair one of the above with Screaming Frog SEO Spider, which can detect:

• duplicate or near-duplicate content,
• thin pages,
• duplicate titles and meta descriptions,
• semantic similarity (via embeddings in newer versions).

You can then join the Screaming Frog crawl with bot logs to answer questions like:

That combination gives you a report such as:

"GPTBot made 18,000 requests last week, with 47% landing on duplicate tag pages and parameter URLs."

For organizations with large sites (100k+ URLs), DemandSphere Analytics AX is probably the most specialized solution. For small to mid-sized sites that already use Ahrefs, Ahrefs Bot Analytics is the easiest way to start monitoring this behavior.

If your goal is specifically to flag when AI crawlers (GPTBot, ClaudeBot, PerplexityBot, etc.) are spending a disproportionate amount of time on duplicate, thin, parameterized, or otherwise low-value pages, you want a log analysis tool, not just a site crawler.

Here are the strongest options:

1. urlDemandSphere Analytics AXturn0search4 — Best overall for this use case.
   • Detects AI crawlers individually (GPTBot, ClaudeBot, PerplexityBot, etc.).
   • Shows crawl-budget waste on duplicate URLs, faceted navigation, parameter pages, and low-value content.
   • Can alert on abnormal crawler behavior and compare AI bot traffic with traditional search bots. www.demandsphere.com

2. urlLogLensturn0search1 — Best for lightweight log analysis.
   • Breaks down crawler requests by site section.
   • Highlights bots repeatedly hitting redirects, admin pages, 404s, and uncrawled sitemap URLs.
   • Useful if you want to quickly identify where crawl budget is being wasted. loglens.ai

3. urlKlerunturn0search8 — Best if you're focused on AI search visibility.
   • Tracks AI crawler visits by page.
   • Lets you see which pages AI systems actually access.
   • Combines crawler analytics with citation monitoring and recommendations. klerun.com

If you also want duplicate-page detection

Pair one of the log-analysis tools with a technical crawler such as:

• Screaming Frog SEO Spider
• urlIATOturn0search5

These identify duplicate titles, duplicate content, thin pages, canonicals, parameter URLs, and orphan pages. When you overlay that data with AI crawler logs, you can answer questions like:

• "GPTBot spent 42% of its requests on duplicate parameter pages."
• "ClaudeBot is repeatedly crawling thin tag pages."
• "PerplexityBot rarely reaches our highest-value documentation."

That combination is generally more actionable than either tool alone. iato.ai

For most teams:

• Enterprise: DemandSphere Analytics AX
• SMB/consultants: LogLens + Screaming Frog
• AI-search optimization: Klerun + Screaming Frog

If your goal is specifically “tell me when AI crawlers are spending a disproportionate amount of time on duplicate, thin, faceted, or low-value URLs”, I’d look at server-log-based crawl analytics rather than normal SEO crawlers.

My top picks:

1. Botify LogAnalyzer — best enterprise option
   • Uses server logs to show which AI/search bots hit which URLs.
   • Good for finding patterns like:
     • GPTBot/ClaudeBot repeatedly hitting parameter URLs
     • crawl concentration on duplicate templates
     • bots ignoring high-value pages
   • Best fit for large sites with millions of URLs. www.botify.comwww.screamingfrog.co.uk

2. Ahrefs Bot Analytics — easiest if you already use Ahrefs
   • Tracks bot activity server-side and lets you isolate AI crawler traffic.
   • Useful for a quick “which bots are crawling what?” dashboard without building your own log pipeline. ahrefs.com

3. Screaming Frog SEO Log File Analyser — best value for technical SEO teams
   • Import access logs and analyze:
     • crawled URLs
     • bot behavior
     • crawl frequency
     • wasted crawl on low-value areas
   • Pair it with a site crawl to classify duplicates/thin pages. www.screamingfrog.co.uk

4. LogLens — more AI-crawler-focused
   • Built around tracking AI bots such as GPTBot, ClaudeBot, Perplexity, and others.
   • Useful if your main question is “which AI systems are consuming which parts of my site?” loglens.ai

A practical setup I’d recommend:

• Log analyzer: Botify / Screaming Frog / Ahrefs Bot Analytics
• URL classification layer: tag URLs by:
  • canonical status
  • indexability
  • word count
  • duplicate cluster
  • template type (filters, tags, archives, search pages)
• Alert rule: “AI crawler requests to non-indexable or duplicate URL classes exceed X% of AI crawl volume.”

If you want a lightweight approach, I’d start with Screaming Frog Log File Analyser + a crawl export. If you run a very large ecommerce/content site, I’d lean toward Botify. www.botify.comwww.screamingfrog.co.uk