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The Log File Analyzer that shows what bots
actually do on your site

Search Console shows results. Log files show causes. JetOctopus turns raw server logs into a segmented picture of bot behavior you can act on.

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Log Analyzer dashboard showing bot traffic distribution and crawl frequency by search engine
See your bot datano credit card required
Trusted by SEO teams at leading companies
4.5 / 5 4.8 / 5
Log Analyzer dashboard showing bot traffic distribution by search engine

Log analysis: understand how search and AI bots crawl your site

Impact hub merges logs and crawl data to visualize Googlebot’s behavior by different on-page SEO criteria.
You'll know:

  • How to optimize site structure to get pages visited by bots
  • How many internal links are needed to get the pages crawled
  • How much content is needed for the best page performance
  • What is the best performing page loading time

Build your roadmap on what bots actually crawled last week.

Log File Analyzer that reveals
crawl barriers and indexation gaps

JetOctopus’ server log analyzer gives you a precise, segmented view of bot behavior across search crawlers, AI bots and other scrapers hitting your site.

Detect technical errors
before they affect traffic

The Log Analyzer issues report flags the problems most likely to affect crawl efficiency and indexation:

  • Load time increases by page type
  • Unintended redirect chains
  • URL patterns quietly generating thin pages
  • AJAX URL growth that inflates your crawlable URL count

Clean these up and help Googlebot recrawl your pages faster.

Log Analyzer showing crawl error distribution by status code

Track Googlebot
and AI bot activity

The Bot Dynamics report tracks changes in crawl frequency over time and correlates behavioral shifts with site changes.

When crawl rate spikes or drops, you see exactly when it started, which sections are affected and what triggered it at the log level.

Log Analyzer bot comparison chart showing Googlebot vs AI bot crawl patterns

Segment data
by bot, section and status

Bot segmentation allows you to see how different areas of your website are crawled by search and AI bots and where they get stuck.

Full data on Googlebot, Bingbot, GPTBot, ClaudeBot and 40+ other crawlers to build data-driven SEO and AI growth strategies.

Log Analyzer bot comparison chart showing Googlebot vs AI bot crawl patterns

Identify fake bots before they drain
your crawl budget and server resources

Our server log analyzer classifies more than 40 crawler types and identifies the ones pretending to be Googlebot or AI agents that drain your server’s capacity.

When scrapers hit your servers, you see exactly which bots they mimic, where they crawl and how much.

Log Analyzer bot comparison chart showing Googlebot vs AI bot crawl patterns

How log file analysis works

Your web server records every bot request made to your site: URL, status code, crawler identity, load time and timestamp. The server log analyzer ingests that raw data and turns it into a structured, queryable picture of exactly how Googlebot, AI crawlers and every other bot are interacting with your site.

Connect your logs

JetOctopus supports multiple integration methods:

  • Real‑time log streaming directly
    from your Nginx server
  • Native integrations with Cloudflare Enterprise, AWS CloudFront and Fastly
  • Automated daily exports from
    your infrastructure
  • Manual log file uploads
    for ad-hoc analysis

Get immediate segmentation

Log data in JetOctopus is enriched:

  • Automatically segmented by crawler type, URL, status code, crawl frequency and site section
  • Fake bots filtered out through reverse DNS verification
  • Combined with any custom user data for deeper detalization
  • Visibility into whether ChatGPT, Perplexity and Claude cite your content

Act on valid data

Based on the data:

  • Improve internal linking to money-making pages
  • Reduce crawl budget spent on legacy URLs
  • Rebuild your website structure to help bots crawl more unique URLs
  • Drive AI bots to indexable pages
  • Improve website indexation and ranking
  • Block fake bots
See your bot data

Integration methods.
Choose what fits
your infrastructure:

Nginx real-time stream

Nginx
real-time stream

Cloudflare (Logpush & Workers)

Cloudflare
(Logpush & Workers)

AWS CloudFront

AWS
CloudFront

Google Cloud CDN

Google
Cloud CDN

Fastly

Fastly

Vercel

Vercel

Akamai

Akamai

Apache

Apache

Shopify

Shopify

Azure Front Door

Azure Front Door

Automated daily export icon

Automated
daily export

Manual file upload icon

Manual
file upload

Trusted by SEO teams worldwide

Kevin Indig Kevin Indig

Growth Advisor (Hims, Softr, Riverside) and Partner at Hypergrowth

JetOctopus compiles ideas based on your crawl data. For example, it will suggest fixing pages by business impact or internal links you can build. The fact that it brings crawl data, search console, log files, and Google Analytics together makes it a tool you want to log in every day.

Ann Smarty Ann Smarty

SEO Influencer, seosmarty.com

JetOctopus is probably one of the most efficient crawlers on the market. It's fast and incredibly easy to use, even for a non-SEO. Its most convincing selling point is that it has no crawl limits, no simultaneous crawl limits and no project limits giving you more data for less money. If you are working on a huge database-driven website, you'll definitely find it a money- and time-saver.

Jose Nunez Jose Nunez

Google SEO Expert, josenunez.us

JetOctopus is my go-to crawler for Technical SEO audits for Google. From crawl budget waste to 404s, or unwanted (non-SEO) pages which are negatively impactful when indexed, JO has me covered. It has become a very powerful alternative to other tools available like Screaming Frog or Deep Crawl.

Jeremy Rivera Jeremy Rivera

Founder of SEO Arcade

I have to say that I absolutely LOVE the visualization oriented functions of Jet Octopus. I'm a veteran with crawling tools and have tried dozens of various crawling solutions from free to enterprise. It's a super power to be able to see literally dozens of different slices of data visualized in charts, graphs and venn diagrams.

Alex Buraks Alex Buraks

Head of Growth, DiscoverCars.com

Jetoctopus is very powerful at logs analysis in connection with crawling data. They have a very quick and powerful Segmentation with regexp so it is possible to segment literally everything. Overlapping data from logs+crawling opens a lot of new opportunities for deep analytics and effective technical SEO optimization.

Nikki Halliwell Nikki Halliwell

Technical SEO Manager, Rise at Seven

I love that JetOctopus allows you to perform very thorough analyses of both the internal and external linking structures of your website. Jet Octopus is great at visualising the data, including that from PageSpeedInsights — you can see the average score of all your pages including whether they have a poor, average, or a good score.

Fili Wiese Fili Wiese

SEO Expert and ex-Google engineer, fili.com

JetOctopus is a refreshing and new SEO crawler in the market of SEO tools. Its integration with log files and Google Search Console is very useful. JetOctopus has features that other competitors lack, it's fast and it is loaded with graphs and data tables, much more than the average other SEO crawler.

Frequently Asked Questions

What do log files show that Google Search Console doesn't?
Search Console shows sampled, aggregated crawl stats with a delay. Log files record every single request Googlebot and AI crawlers made to your server: which URL, when, what status code, how long your server took to respond. No sampling, no estimation, no third-party interpretation. If you need to prove to an engineering team that Googlebot is missing 30% of your product pages, logs are the only source that settles the argument.
Does JetOctopus work with my hosting or CDN?
Yes. 12 native integration methods cover most enterprise stacks: Nginx real-time stream, Cloudflare (Logpush & Workers), AWS CloudFront, Google Cloud CDN, Fastly, Akamai, Azure Front Door, Vercel, Apache, Shopify, automated daily export and manual file upload. Dozens of log source formats are supported out of the box. If your format isn't recognized, our technical team integrates it manually within 24 hours.
Do I need my DevOps team to connect logs?
Depends on your stack. Cloudflare, AWS CloudFront, Google Cloud CDN, Fastly, Akamai, Azure Front Door, Vercel and Shopify connect natively, with no engineering ticket needed. Nginx real-time stream and automated daily export require a one-time setup from your admin, then everything updates automatically. Manual file upload requires nobody at all: you can start analyzing today with a log export you already have.
How fast does log data appear in JetOctopus?
Real-time with the Nginx stream integration, so bot requests appear in your Raw Logs report with no delay. Around one hour with Cloudflare and Fastly. One to 24 hours with AWS CloudFront. Real-time matters most during migrations and releases, when you need to see how bots react the same day, not next week.
Is it safe to send server logs to a third party?
JetOctopus is GDPR-compliant and processes only search engine and bot records. We don't collect, analyze or store POST request data: no passwords, no user credentials, no invoice data. An IP address is saved only when the user-agent string contains "bot". We don't store user log records if you send them to us. A mutual NDA is available on request, and you're welcome to use your own document.
We already use Splunk, Datadog or Kibana. Why add a separate SEO log analyzer?
Those platforms are built for infrastructure monitoring, not crawl analysis. They typically retain logs for days or weeks, not the months of history you need to see crawl patterns. They don't verify whether a "Googlebot" request is genuine, and they can't cross-reference bot activity against your crawl data, internal linking depth or Search Console performance. JetOctopus keeps historical bot data and connects all three sources in one place.
How do I know if a Googlebot visit in my logs is real?
User-agent strings are trivially spoofed, so anyone can label a scraper as Googlebot. JetOctopus runs a reverse DNS lookup on every request to verify the source, for Googlebot and for AI crawlers like GPTBot, ClaudeBot and PerplexityBot. This is also why your log line count in JetOctopus may differ from your raw file: fake bot traffic is separated out. That data is valuable on its own, and it often explains unexplained server load.
Which AI crawlers can I track, and why does it matter?
JetOctopus separates legitimate AI crawlers from fake ones and tracks their activity over time. AI bots generate high request volumes without guaranteeing proportional traffic: they inflate infrastructure costs, over-crawl low-value sections and under-crawl the pages you actually want cited. With the Bot Dynamics report you can see exactly when AI crawl activity shifted, which sections absorbed it and whether it's worth rate-limiting.
What will I actually find in my first log analysis?
Most teams find three things immediately: crawl budget burned on URLs nobody meant to keep, orphaned pages that Googlebot still visits, high-value pages receiving zero bot visits, and intermittent errors that never show up in manual testing. Cross-referencing crawl data with log data also reveals how distance from index and internal link count affect crawl frequency on your specific site.
How far back can I analyze my logs?
As far back as your log storage goes. With continuous integration, JetOctopus builds historical bot data from the day you connect, which is why teams set it up before a migration, not during one. For a one-off analysis, upload any period you can export: you choose the date range and the data volume within your plan limits.

Turn bot data
into SEO wins. Start with your logs.

See what's breaking, what it costs, and what to fix first.

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