GEO and SEO platforms with the best crawler log depth in 2026: a ranked comparison

Key takeaways

• "Crawler log depth" is not the same thing as "AI visibility tracking." Most GEO tools tell you whether you show up in an AI answer; only a handful tell you whether AI crawlers can even reach your pages in the first place.
• Dedicated log-file analyzers (Screaming Frog Log File Analyser, JetOctopus, Botify, OnCrawl) still have the deepest raw log ingestion, often with no cap beyond disk space or contracted log volume.
• GEO-native platforms are catching up fast. Promptwatch, Profound, and Scrunch AI now connect directly to Cloudflare, Vercel, and server logs to show which AI bots hit which pages, with verified-IP filtering to catch spoofed crawlers.
• OpenAI's share of verified AI crawler traffic dropped from 94.8% to 79.8% between June and September 2026, a reminder that single-provider log monitoring is already outdated.
• Origin server logs miss anything filtered at the CDN edge, so CDN-level log access (Cloudflare, Fastly, Vercel) is now the real baseline for "log depth," not just server access logs.

Why crawler logs matter more than another citation chart

Here's the thing nobody tells you when you sign up for a GEO dashboard: the chart showing your brand's "visibility score" in ChatGPT is downstream of something much more boring and much more important. Before any AI model can cite your page, a crawler has to fetch it, parse it, and decide it's worth keeping around. If that crawler never shows up, or shows up and chokes on a JavaScript-rendered page, your visibility score is explaining a problem you can't see the cause of.

This is the gap between monitoring tools and log-depth tools. A monitoring tool asks "was my brand mentioned in this AI response?" A crawler log tool asks "did GPTBot actually visit the page I think is cited, how often, and did it succeed?" Both questions matter, but they're answered by completely different data sources, and very few platforms are strong at both.

The need for this got sharper in 2026. According to Promptwatch's crawler traffic data, OpenAI's share of verified AI crawler requests fell from 94.8% in the week of June 8-14 to 79.8% by early September, a roughly 15-point drop in under three months (Promptwatch's AI crawler traffic report). Meanwhile Claude's citation crawler grew more than 100x in four months, from about 30 visits a day in mid-December 2025 to several thousand a day by mid-April, peaking at 1.73% of all tracked AI citation crawler traffic (Claude citation crawler visits over time). If you're only watching GPTBot, you're already behind.

What "crawler log depth" actually means

Before ranking anything, it's worth being precise about what separates a shallow crawler feature from a deep one. I'm judging on four things:

1. Does the tool ingest raw CDN or server logs, or does it only sample via API calls to AI platforms?
2. Does it verify crawler identity against published IP ranges, or trust the user-agent string (which is trivially spoofed)?
3. Can you see per-page, per-bot history over time, or just an aggregate "X requests this month" number?
4. Is there a retention window, or does the data disappear after 30-90 days?

A fact worth keeping in mind here: origin server logs only capture what passes through the origin. If Cloudflare or Fastly sits in front and filters a bot at the edge, that bot never shows up in origin logs at all. CDN-level logs are the authoritative source, not server logs alone. Any tool that only offers server-log upload is working from an incomplete picture by design.

The ranked comparison

Screaming Frog Log File Analyser: the cheapest deep option

If you just want raw depth and don't mind doing the analysis yourself, Screaming Frog's desktop tool is hard to beat on price. It's free for up to 1,000 log events per project, and a paid license is £99/year, dropping to £69/license at 20+ seats. There's effectively no cap on log volume beyond your hard drive. It has a dedicated AI-bot workflow: filter GPTBot against OAI-SearchBot, compare training crawlers against indexing crawlers, see total bytes per bot, and flag crawl-delay violations. Pair it with a Screaming Frog SEO Spider crawl and you get an "AI bot coverage %" metric, like seeing that only 1,000 of 10,000 crawled URLs have ever been touched by an AI bot.

The catch is obvious: nothing here connects to AI visibility data. You know which bots are hitting your site, but not whether that translates into citations. It's a diagnostic tool, not a growth tool.

JetOctopus, Botify, OnCrawl: the enterprise log tier

These three sit in what I'd call the "old guard" of log analysis, built for technical SEO long before GEO existed, and they're still the deepest option if budget isn't a constraint. JetOctopus is the only one of the three with public pricing, from roughly €383/month annually for 1M crawled pages and 1M log lines per month, scaling to €1,799+/month at the top end. It markets itself, correctly, as the most affordable log analyzer in this tier, and carries a 4.5/5 on G2.

Botify and OnCrawl are both quote-gated. Botify's core platform for sites up to 250K URLs typically runs $30,000-$60,000/year, with broader enterprise contracts reaching $75,000-$150,000/year, and log overages are a real, named cost if you exceed your contracted volume. OnCrawl differentiates with BigQuery export for teams that want to model crawl behavior themselves, at an industry-benchmark estimate of around $25,000/year. Both are built for sites with millions of URLs and in-house data teams who want raw access, not a dashboard someone already interpreted for them.

Promptwatch: the GEO platform that treats logs as a diagnostic layer, not an afterthought

This is where the GEO-native category starts closing the gap with the old log-analysis specialists. Promptwatch integrates directly with CDN and server log sources, Cloudflare, AWS CloudFront, Fastly, Vercel, Netlify, Akamai, Google Cloud CDN, or a custom HTTP endpoint, and its Agent Analytics feature shows exactly which AI crawlers hit a site, which pages they read, which requests error out, and the crawl-to-citation path with a per-page citation rate.

Promptwatch

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The detail that matters most here is verification. Promptwatch runs a dedicated Verified AI Crawler Data feature that cross-checks source IP against each provider's published IP ranges, filtering out the spoofed traffic that inflates raw user-agent counts. Independent estimates put spoofing at 5-8% of requests claiming to be known AI crawlers, so this isn't a cosmetic feature, it changes the numbers you're acting on.

Compared to Peec AI, which has no crawler log feature at all, Promptwatch's log depth is a genuine differentiator, not a marketing line. The feature is gated to the Professional plan ($245/mo) and above, while the entry Essential tier ($95/mo) gets you AI model tracking without the crawler layer. For a team that wants both citation monitoring and the "why" behind it in one platform, that's a reasonable trade, especially since the alternative is paying enterprise log-analysis pricing on top of a separate GEO tool.

What Promptwatch adds beyond raw logs is the connective tissue: it links crawl activity to actual citations and to Unified Actions, a prioritized to-do list, so a spike in GPTBot errors on a product category page turns into an assigned fix rather than a line in a spreadsheet. None of the dedicated log analyzers do that linkage, because they were never built to understand AI citation behavior in the first place.

Profound and Scrunch AI: strong but narrower

Profound's Agent Analytics connects via a Cloudflare Worker, Cloudflare Logpush, or a native Vercel integration with real-time log streaming, no manual drain config required. It's genuinely well built for teams already on Vercel. But Search Engine Land's independent framing of this category is worth repeating: tools like Profound and Scrunch that hook into CDN layers make monitoring easier than manual log exports, but most operate within a limited retention window, good for near-term pattern spotting, weak for the kind of long-term trend analysis raw server logs support natively.

Scrunch AI's bot-traffic analytics, paired with a GA4-connected view of AI referral traffic, are reportedly the most-praised part of the platform in independent reviews. The problem is tiering: the self-serve Core plan at $250/month only covers 4 engines (ChatGPT, Perplexity, Google AI Overviews, Copilot), and Claude crawler coverage specifically requires the Enterprise tier, which is custom-priced. Given how fast Claude's crawler share is growing, that's an expensive gap to leave open.

Similarweb: closing the loop without raw ingestion

Similarweb doesn't ingest logs itself. Instead you export a bot-hit URL list from your own CDN or server logs and upload it to Site Audit, which then cross-references it against JavaScript rendering issues and status codes. Their documented example: "ClaudeBot visited that page 47 times, and it has a JavaScript rendering issue." It's a clever shortcut if you already have the raw data and just want the diagnostic layer, but it's not a substitute for having log access in the first place.

Numbers worth knowing before you set up any of this

A few data points that put the whole category in context, regardless of which tool you pick:

• Analysis of 24.4 million proxy requests across 69 sites found AI-related crawlers made 3.6x as many requests as traditional search crawlers combined, with ChatGPT-User alone outpacing Googlebot, Amazonbot, and Bingbot combined (via Search Engine Journal's coverage of the Alli AI study).
• Cloudflare Radar's crawl-to-referral ratio for the week of April 13-20, 2026 showed ClaudeBot crawling 13,528 pages for every 1 referral it sends back; OpenAI's crawlers ran at 1,252:1; Googlebot at 5:1. That's the asymmetry every content team is quietly subsidizing.
• Analysis of 500 million-plus GPTBot fetches found zero evidence of JavaScript execution, confirmed independently by Vercel and OnCrawl. Among major AI crawlers, only Google's Gemini crawler (via Googlebot infrastructure) fully renders JS. If your product pages depend on client-side rendering, most AI crawlers simply aren't seeing your content.
• A 30-day log study across 12 mixed-vertical sites found GPTBot revisits high-traffic pages roughly every 2.4 days, ClaudeBot every 6.8 days, and Google-Extended every 14 days, while PerplexityBot and ChatGPT-User fetch on demand with no fixed schedule.

How to pick based on your actual situation

A practical starting checklist

Whatever platform you land on, a few things are true no matter what:

• Check robots.txt, CDN rules, and WAF settings for every AI provider you care about, not just OpenAI. The provider mix moved 15 points in three months this year alone.
• Confirm you're reading CDN-level logs, not just origin server logs, since edge-filtered bots never reach the origin.
• Cross-reference source IPs against published ranges (OpenAI's Azure infrastructure, Anthropic's AWS ranges) before trusting any user-agent string.
• If your site relies on client-side rendering for key content, assume most AI crawlers aren't executing that JavaScript, and plan server-side rendering or prerendering accordingly.

If you want to compare more GEO platforms side by side before committing, the directory at bestgeosoftware.com tracks a wider set of tools across this category, and agenticseotools.com is a useful companion list if you're specifically looking for tools that act on the data rather than just report it.