Log File Data is a critical data source in both Search Engine Optimization (SEO) and the emerging Generative Engine Optimization (GEO). It allows teams to identify how search engines and AI bots are accessing your site, and can help troubleshoot crawling and indexing issues on a website.
Lumar has a few options for bringing log file data into your website optimization analysis. You can integrate with Logz.io or Splunk, or manually upload data into the Lumar platform.
What is Log File Data?
Log file data gives a direct record of how servers, search engines, AI bots, and users interact with your website. Every request made to your site—whether from a human visitor, bot or crawler—generates an entry in your server’s log files. These records include essential details such as the requester’s IP address, user agent (e.g., Googlebot vs. a browser), timestamp, requested URL, response code, etc.
Log file data analysis gives powerful insights into how your site is being crawled, consumed, and experienced. Unlike third-party analytics or estimation tools, logs show the real activity happening on your servers, which makes them invaluable for optimization across key areas:
- GEO (Generative Engine Optimization): With the rise of AI-powered search experiences and generative engines, it’s increasingly important to understand how your site’s content is being accessed and interpreted by different AI systems. Log file data shows you which bots are hitting your site, how often, and what they’re consuming—helping you adapt content and technical structures so your brand is surfaced effectively in generative AI responses.
- SEO: Log files reveal how search engine bots are crawling your site—what they prioritize, what gets overlooked, and whether resources are being wasted on low-value pages. This helps you ensure crawl budget is directed toward your most important content and that search engines can efficiently index your site.
- Site Speed: Logs record server response times, offering insight into how quickly your pages are delivered to both bots and users, in different locations. This helps pinpoint latency issues, slow-loading resources, or areas where performance optimizations could improve overall site speed.
- Accessibility: Log files can highlight how different user agents (including assistive technologies or accessibility testing bots) are engaging with your site. This visibility helps ensure that your content is consistently reachable and usable by all audiences.
What Issues Does it Address?
Without log file data, it’s difficult to ascertain exactly where search engines are spending their time on your site. If bots are missing vital content and spending too much time in other, less important areas, not only are you missing vital organic traffic, but you may also be wasting money on server resources crawling pages that you don’t want them to.
From a GEO perspective, optimization efforts can’t be verified if you don’t know what content is being accessed and consumed. Log file data gives you a clearer picture of what content is being found and crawled by AI systems.
How Does it Help?
Log file data can help in a number of ways, including:
- Drive organic performance with strategies based on how search engines are actually crawling your site.
- Optimize crawl budget with insights into Googlebot hits by page type, resource type, or status, ensuring focus is on important pages.
- See what search engines think is important on your site, so you can take appropriate action.
- Focus analysis on key areas with segmentation and filters, and aggregate metrics using Data Explorer.
- Track progress over time and spot changes with trend charts.
- Show the impact of work by directly correlating improvements to changes in search engine bot behavior.
- Gain extra insights by working with our world-class Professional Services team.
Once incorporated into your website optimization analysis, log file data can be used in a myriad of ways. Here are some specific use cases for log file data analysis in the Lumar platform:
- Examine crawler visits by page type. See how bots experience your site to inform high-level, big impact actions.
- Monitor changes in crawl frequency, to identify, investigate and resolve drops in speed to indexation.
- Confirm positive results of changes, such as confirming crawl frequency increases for topic and tag pages after navigation changes, or confirming switch of bot attention to quality, indexable pages.
- Validate details of an issue reported by testing tools, or in sample data from crawl stats, to identify cause and impact and speed up issue diagnosis.
- Measure and monitor bot response times to identify potential issues that could impact user experience.
- Monitor request size (kb) following changes to pages, like rendering (e.g. client side/server side).
- Safely discontinue redirects from a legacy migration by checking if bots are hitting old pages or redirects.
- Understand topical authority and cleanup content tagging. See over time which tag pages, and which topics are being crawled and at what frequency.
- Answer complex questions for sites like eCommerce, like whether pages with more than 2 filters enabled or default nofollow filters like ‘size’ are being crawled, or how much of a particular category is being crawled and which are the top URL parameters.
- Time to indexation review, to identify opportunities for articles (especially news stories) to be indexed by search engines and ear the coveted ‘Top Stories’ position.
- Understand the volume of fake or malicious bots, against real bot activity, to identify security improvements.
- Monitor which content is being crawled by AI bots, to inform content strategy for the future of traffic acquisition.
Ready to Get Started?
As mentioned above, Lumar has a number of ways to bring log file data into our platform. Our recommendation is to use the Logz.io integration, but you can also integrate with Splunk, or manually upload data.
With Logz.io, you get a comprehensive solution, combining the website optimization expertise of Lumar and the log parsing and storage expertise of Logz.io.
Logz.io can be included in your subscription with Lumar, has a one-time setup and automated data exchange via API integration, and a simple but flexible user experience. If you’d like to add Logz.io to your subscription, contact your Custom Success Manager, or get in touch.