Technology context
Technology stack context for SEO teams and AI agents
Detect visible frameworks, CMS markers, client libraries, security-header posture, stack changes, and evidence-backed risk signals so teams and AI agents understand how the site is built.
Site technology profile
On-demand scans Teams can refresh the stack profile when frameworks, bundles, or deployment infrastructure change.
Scan cadence Monthly automatic scans keep context fresh without turning technology checks into a continuous security scanner.
Detected evidence Components are grouped by evidence type so teams and agents can see why Crawle detected the stack.
The problem
Technical SEO issues rarely exist in isolation. Teams and AI agents need to know whether a site runs Next.js, WordPress, Shopify, Cloudflare, legacy PHP, exposed libraries, or missing security headers before recommending a fix.
The outcome
Crawle turns normal crawl evidence into a passive technology profile, stack-change history, and risk-signal context that can be inspected in the app, routed through alerts, exported, or queried through MCP/API.
Passive stack detection from public crawl evidence, headers, HTML markers, assets, and visible framework signals.
Technology risk signals with evidence and confidence, without positioning Crawle as a replacement for a security scanner.
Stack-change deltas so framework, CDN, CMS, or library changes can be reviewed over time.
MCP/API context so Claude, ChatGPT, Codex, Gemini, and internal agents know how the site is built before suggesting fixes.
Workflow
From crawl signal to team action
Detect the visible stack
Crawle samples normal crawl evidence and groups visible technologies by component type, source, confidence, and evidence.
Track changes and risk signals
The first scan becomes the baseline; later scans can surface added, removed, or changed components and evidence-backed hardening findings.
Use it as AI context
Approved agents can query technology context through OAuth MCP/API before drafting fixes, QA steps, migration checks, or developer handoffs.
AI-ready site context
Let agents reason with the same stack evidence your team sees
Technology context gives SEO teams, developers, and AI agents the missing implementation layer: what the site appears to run on, what changed, and which posture signals need a human review.
Visible stack evidence
Crawle reads public crawl evidence such as headers, HTML markers, assets, and framework traces so the profile remains explainable.
Posture signals, not pentesting
Risk findings are framed as evidence-backed hardening signals. They add context without pretending to replace a security audit.
MCP-ready context
Approved agents can use technology context before suggesting fixes, QA steps, migration checks, or developer handoffs.
Stack changes and risk findings
Baseline deltas The first scan becomes the baseline; later scans can show added, removed, or changed technologies.
Risk language Findings are framed as posture signals with evidence, not as proof from an intrusive security test.
Where teams use it
Related documentation
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