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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.

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Site technology profile

Technology & risk signals

Passive stack detections and risk signals for app.crawle.io, backed by public crawl evidence.

Jun 9, 6:30 AM
Detected components05 types
High-risk open findings0critical + high
Open findings0of 7 total
Recent stack changes0since last baseline
Last scanJun 912 pages sampled
Scan triggerAutomatichomepage sample

Scan settings

Technology scans run on the homepage by default. Set an automatic cadence, or run a scan on demand.

Automatic scansRefresh stack and posture signals on a schedule without manual work.
Every
days(7–90)

Detected components

Components are grouped by where Crawle found the evidence. Each card lists up to four evidence sources.

24components

Framework1

Next.js
v14.2.3 · npm
Confirmed
  • Meta generator
    content: Next.js
  • Response header
    x-powered-by: Next.js
  • HTML marker
    __NEXT_DATA__

JavaScript library1

React
v18.3.1 · npm
High confidence
  • Script source
    src: /_next/static/chunks/react.js
  • HTML marker
    data-reactroot

CDN / edge1

Cloudflare
Version unknown
Confirmed
  • Response header
    server: cloudflare
  • Response header
    cf-ray: present
  • Set-Cookie
    __cf_bm: present

Analytics & tags1

Plausible Analytics
Version unknown
High confidence
  • Script source
    src: https://plausible.io/js/script.js

Security header1

Strict-Transport-Security
Version unknown
Confirmed
  • Response header
    strict-transport-security: max-age=63072000
1

On-demand scans Teams can refresh the stack profile when frameworks, bundles, or deployment infrastructure change.

2

Scan cadence Monthly automatic scans keep context fresh without turning technology checks into a continuous security scanner.

3

Detected evidence Components are grouped by evidence type so teams and agents can see why Crawle detected the stack.

Per-site technology profiles keep visible stack evidence, risk signals, scan cadence, and detected components next to the rest of the crawl data.

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 changes 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

01

Detect the visible stack

Crawle samples normal crawl evidence and groups visible technologies by component type, source, confidence, and evidence.

02

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.

03

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.

Where teams use it

AI-assisted technical SEO triage.
Developer handoff with stack context.
Client technology audits without active security probing.
Release QA when frameworks, CDN, or frontend bundles change.

Related documentation

Technology stack and risk signalsAPI and MCP setupAlerts and digestsCustom webhooks

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Custom extraction alerts for page-specific changes

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