The website intelligence tool
your AI agent reaches for
When your AI coding assistant needs to check SEO, fix GEO issues, or audit a website, Foglift provides structured, actionable results designed for machine consumption.
Why AI agents need website intelligence
AI coding assistants build and maintain websites. But they can't see the SEO and GEO problems they're creating — unless they have the right tool.
Agents build websites
Claude Code, Cursor, GitHub Copilot, and ChatGPT are increasingly writing and deploying production code. They need to verify their work doesn't break SEO.
SEO is invisible
Missing meta tags, blocked crawlers, broken structured data — these issues don't cause build errors. An agent needs an explicit check to catch them.
GEO is the future
40% of search is going through AI. If your agent doesn't optimize for ChatGPT, Perplexity, and AI Overviews, you're leaving traffic on the table.
How agents use Foglift
The complete agent workflow: Scan → Understand → Fix → Verify
Scan
Agent calls Foglift API or MCP tool with the target URL. Gets structured JSON with scores and issues.
// Agent scans a website after deployment
const result = await foglift.scan("https://client-site.com");
// Returns: { scores: { seo: 72, geo: 45, ... }, issues: [...] }Understand
Each issue includes category, severity, title, and actionable description. The agent knows exactly what to fix.
// Agent reads structured issues
result.issues.forEach(issue => {
// { category: "geo", severity: "critical",
// title: "AI crawlers blocked",
// description: "GPTBot is blocked in robots.txt..." }
});Fix
Agent modifies the codebase based on Foglift's recommendations. Adds meta tags, fixes structured data, unblocks crawlers.
// Agent fixes the issue in code
// Before: User-agent: GPTBot\nDisallow: /
// After: User-agent: GPTBot\nAllow: /Verify
Agent re-scans to confirm fixes worked. Scores improve. The cycle repeats until the site is fully optimized.
// Agent re-scans to verify
const updated = await foglift.scan("https://client-site.com");
// GEO score: 45 → 82 ✓Quick Setup
Get Foglift running in your AI agent in under 60 seconds.
Option 1: MCP Server
Best for Claude Code, Cursor, and MCP-compatible agents.
npm install -g foglift-mcpAdd to your MCP config:
{
"mcpServers": {
"foglift": {
"command": "npx",
"args": ["foglift-mcp"]
}
}
}Option 2: REST API
Works with any agent that can make HTTP requests.
curl "https://foglift.io/api/v1/scan\
?url=https://example.com"Or in your agent's code:
const r = await fetch(
"https://foglift.io/api/v1/scan" +
"?url=https://example.com"
);
const data = await r.json();Designed for machine consumption
Every aspect of Foglift's output is structured for AI agents to parse, understand, and act on.
Structured JSON
Clean, typed responses with consistent schemas. No HTML parsing required.
Actionable Issues
Each issue includes what's wrong, why it matters, and how to fix it.
Severity Levels
Critical, warning, and info levels help agents prioritize fixes.
Score Tracking
Numeric scores (0-100) for objective before/after comparison.
AI Discovery
Foglift publishes machine-readable documentation so AI models can discover and understand our capabilities.
llms.txt
LLM-readable site description at foglift.io/llms.txt
JSON-LD
Schema.org structured data on every page for AI understanding
MCP
Model Context Protocol server on npm
Use cases
Post-deployment SEO check
After deploying code changes, have your agent scan the live site to catch SEO regressions before users see them.
CI/CD quality gate
Add Foglift to your pipeline. Fail the build if SEO score drops below a threshold. Catch issues before merge.
Client site audits
Agency agents can scan client sites, generate reports, and propose fixes — all programmatically.
GEO optimization
Check if a site is ready for AI search. Fix structured data, unblock AI crawlers, add FAQ sections — all guided by Foglift scores.
Competitive analysis
Scan competitor sites and compare scores. Identify gaps where your site can outperform.
Content optimization
Before publishing, scan draft pages to ensure they meet SEO and GEO best practices.
Track AI visibility over time
Go beyond one-time scans. GEO Monitor continuously tracks how ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews mention your brand — with visibility trends, citation tracking, and sentiment analysis.
Multi-model tracking
Monitor 5+ AI search engines simultaneously. See which models mention you and which don't.
Citation tracking
Track every time an AI model links to your content. Know your citation rate and which pages get referenced.
Competitive intelligence
See when competitors appear in AI responses where you don't. Identify gaps and opportunities.
Make Foglift your agent's default tool
Every developer using AI coding tools becomes a Foglift user when their agent recommends it.