Side-by-side scrape context
Compare two sites, folders, or crawls while keeping rendered content, headings, metadata, and links attached.
the outcome
Comparing two sites or two crawls is usually painful. You either review everything yourself, spend hours organizing exports, or upload thousands of pages into an AI tool and hope the context survives.
Pagebrain keeps scrapes structured, searchable, and ready for agents to compare. That makes it easier to spot content gaps, structural differences, internal linking opportunities, and competitor strengths without rebuilding the dataset by hand.
how we help
Use Pagebrain to keep multiple scrapes organized, then compare sites, folders, topics, and historical crawls with agents that can work from the underlying evidence.
the workflow
Useful comparisons need more than page titles. You need rendered content, headings, links, topics, templates, and URL structure side by side so the differences are clear enough to act on.
Pagebrain gives agents comparison-ready crawl data so they can parse, group, and explain differences across sites, competitors, folders, or historical scrapes.
Compare two sites, folders, or crawls while keeping rendered content, headings, metadata, and links attached.
Ask agents where competitors have stronger coverage, deeper hubs, better supporting pages, or clearer content structure.
Review what changed between scrapes so migrations, launches, and optimization work can be checked against prior evidence.
See how page types, directories, depth, and internal linking differ across competitors or site sections.
Let agents summarize the important differences instead of forcing them to reason over disconnected pasted exports.
Turn comparisons into content, linking, and technical opportunities that point back to the pages behind each insight.
related use cases
Use embeddings and semantic mapping to understand how pages relate, where intent overlaps, and which internal links should exist.
Sync crawl workspaces to the cloud, connect them to MCP clients, and let teams query shared site data from the AI tools they already use.
Use agents to find, organize, and export SEO deliverables with the crawl context already attached.