aigeo: Generative Engine Optimization for Laravel get your products surfaced inside AI-generated answers from ChatGPT

by GitHiteshZope · Agent Tool · ★ 72

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Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars72
Forks4
LanguagePHP
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Open Issues1
Last Updated2026-04-14
Created2026-04-14
Platformsgemini
Est. Tokens~16k

About aigeo

laravel-aigeo Generative Engine Optimization (GEO) for Laravel. Get your products surfaced inside AI-generated answers from ChatGPT, Gemini, Perplexity, Claude, and Bing AI. Why GEO matters in 2026 Search is shifting from a list of blue links to direct, generated answers. AI answer engines (ChatGPT, Google Overviews, Perplexity) are becoming the primary discovery tool for users.

Compatible Skills

These tools work well together with aigeo for enhanced workflows:

  • laravel-vue-starter — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • elmo — semantic(0.51)+complementary+similar_pop+shared_platform (58%)
  • GEO-Content-Optimizer-Skill — semantic(0.48)+complementary+similar_pop+shared_platform (57%)
  • eGEOagents — semantic(0.47)+complementary+similar_pop+shared_platform (57%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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