How it works

Search growth operating system for vibe-coded websites.

Search Lighthouse is built for founders who can ship fixes quickly, but need a clear answer to three questions: what does search see, what is blocking growth, and what should be fixed next?

Compare plans

Current domain

searchlighthouse.com

Ready for First Scan

Current Stage

Ready for First Scan

Biggest Problem

The site needs its first crawl and search evidence before prioritizing growth work.

Next Action

Run a public scan, then add Search Console data when deeper diagnosis is needed.

Expected Outcome

A prioritized fix plan with implementation-ready tasks.

Core workflow

Only three product actions.

01

Understand my site

Build an editable website profile from homepage, sitemap, robots, RSS, schema, sampled pages, and owner context.

Site type and audience
Content model
Technical snapshot
02

Analyze my search growth

Normalize Search Console CSV, ZIP exports, and OAuth data into trend windows that explain what Google is testing.

24h, 7d, 30d, 90d windows
Queries and pages
CTR and exposure gaps
03

Tell me what to fix

Turn findings into priorities, tracked tasks, and implementation-ready briefs for Codex, Cursor, Claude Code, or markdown.

Top 3 priorities
7/30/90 day roadmap
Copyable build brief

Don't write prompts.

Search Lighthouse turns findings into implementation-ready tasks for Codex, Cursor, Claude Code, and markdown workflows.

Codex
Cursor
Claude Code
Markdown workflows
Search Analysis
Finding
Fix Plan

Generate For

Codex
Cursor
Claude Code
Ship

Replace generic scores with stage, blocker, and next action.

Scores still exist as signals, but the dashboard leads with what an operator actually needs: current stage, biggest problem, top priority, and the next implementation step.

Data needed

Needs Search Data

Typical Symptoms

  • No Search Console rows yet
  • Only crawl evidence is available

Focus

  • Run the first scan
  • Add GSC, Bing, or CSV data
Stage 0

Not Indexed

Typical Symptoms

  • Few or no indexed pages
  • Sitemap, robots, or canonical uncertainty

Focus

  • Fix discovery
  • Clarify indexable pages
Stage 1

Google Testing

Typical Symptoms

  • Low CTR
  • Limited page visibility

Focus

  • Improve snippets
  • Improve internal links
Stage 2

Early Growth

Typical Symptoms

  • Some pages are working
  • Topic coverage is uneven

Focus

  • Expand proven topics
  • Strengthen GEO readiness
Stage 3

Authority Site

Typical Symptoms

  • Search visibility depends on trust
  • AI citation readiness matters

Focus

  • Maintain source quality
  • Monitor regressions

Data model

Store enough history to explain whether fixes worked.

Search Lighthouse keeps site context, imported search rows, trend summaries, and optimization history so future analysis can compare before and after.

Website profile

Editable AI summary, business model, content model, audience, sitemap state, robots state, schema, RSS, and test accounts.

Search snapshots

Imported rows, normalized metrics, selected time windows, connected GSC metadata, and last fetched timestamps.

Fix history

Saved findings, issue status, report history, fix plans, and usage events so the system can compare change over time.

The final output is implementation work.

Every mature report should produce priorities, expected result, difficulty, and a markdown brief that can be pasted directly into Codex.

Sample report output

Clear enough to ship

Current StageGoogle Testing
Biggest ProblemLow CTR
Next ActionRewrite title templates
Expected ImpactMedium
# Search Growth Plan

Goal
Improve indexability and CTR for the selected domain.

Tasks
1. Fix sitemap consistency
2. Improve title templates for exposed pages
3. Add citation-ready entity blocks
4. Strengthen internal links

Constraints
- Minimal code changes
- Preserve routes
- Validate with the next 30-day trend window