Semrush Introduces Crazy Egg to its App Center
Website analytics platform Crazy Egg is now available to use in the Semrush App Center, providing marketers with in-depth visitor insights to help optimize their websites.
August 11, 2026
New Bot and Agent Analytics capabilities give teams clearer understanding of how search engines and AI crawlers interact with their websites, unlocking new visibility opportunities.
Semrush Enterprise announces new log file analysis capabilities across two solutions: Bot Analytics in Site Intelligence and Agent Analytics in AI Optimization (AIO). Together, these features provide brands with a clearer, more accurate understanding of how search engine bots and AI search bots access and read their websites.
Bot Analytics offers depth and complete technical understanding with coverage for 30 bots (20 search engine and 10 AI) total.
Agent Analytic provides focused context for AI visibility, with targeted views for AI agent access that encourage deeper technical analysis where needed.
Log file analysis captures what simulated crawls cannot: real bot behavior at scale. By analyzing server log data, Semrush Enterprise enables teams to validate access, identify inefficiencies, and reduce visibility risk. All grounded in what bots actually do.
One Foundational Need, Two Complementary Features
While the process of log file analysis underpins both Bot Analytics and Agent Analytics, each is tailored to the use cases of each product.
Bot Analytics in Site Intelligence delivers a comprehensive understanding of website crawl health. Designed as a core capability within SI, it supports deep technical SEO use cases, including crawl efficiency, error detection, and large-scale site diagnostics. Bot Analytics provides two core reports:
- Overview: gives a snapshot of bot activity and crawl patterns
- URLs with bot visits: validates bot access and response behavior at the URL level
This reinforces Site Intelligence as the key solution when conversations focus on site health, crawl optimization, or technical performance at scale.
Agent Analytics in AIO, offers a view focused only on AI bots. This capability is designed to specifically support AI visibility use cases by helping teams understand whether AI agents can access key pages and how they interact with content. It complements, but does not replace, full technical analysis in Site Intelligence.
Both solutions ingest up to 10GB of log data per day with three months of fine-grained data retention, ensuring consistent, enterprise-ready data handling across products. Capacity can also be extended for larger or growing environments, supporting long-term scalability.
Why Log Files Matter More Than Ever
As search and discovery increasingly depend on automated agents, understanding machine-side behavior becomes crucial. Log file analysis allows teams to:
- Confirm which pages bots and agents actually accessIdentify crawl waste and inefficiencies that dilute visibility
- Detect errors or blocked content that may impact search or AI discovery
- Reduce risk by grounding decisions in real-world bot activity
By providing targeted data, Semrush Enterprise gives organizations the flexibility to apply log insights where they matter most—whether optimizing complete technical foundations or supporting AI visibility strategies.
A Unified Vision With Targeted Solutions
Visibility starts with access. If search engines and AI bots can’t access your key content, then your competitor will be showing up instead.
Semrush Enterprise provides log file analysis that’s refined to the different needs of different teams, ensuring brands can pivot between full technical depth and targeted AI context as required.
