Free AI Audit
Engineering Methodology

How GEO Works: The 8-Step System

From technical domain audits to ongoing Share of Voice tracking, explore the 8-step methodology we use to turn your brand into the default AI recommendation.

STEP 01 OF 08ESTIMATED TIMELINE: Week 1

Website Audit

Technical inspection of your domain for AI crawler compatibility, schema markup, and semantic headings.

Key Execution Blueprints:

Robots.txt verification for GPTBot, ClaudeBot, and PerplexityBot
Semantic HTML & JSON-LD structured data validation
API documentation accessibility and code sample formatting
Entity schema name and attribute standardization
luvorai.geo.step01
$ luvorai-engine run --phase="website-audit"
[OK] Crawling target domain and entity graph...
> Identifying AI trust signals for Step 01
Status: ACTIVE_EXECUTION • Deliverables: 4/4 Verified
Why LLMs Rank Websites

The 5 Core Pillars of Generative Engine Optimization

AI assistants evaluate brands across five distinct authority and trust dimensions. We engineer and optimize all five simultaneously for your business.

Entity Graph

1. Entity Authority

Wikidata, Crunchbase, JSON-LD schema & knowledge graph verification so AI recognizes your brand.

Pillar 01
Expertise

2. Topical Authority

Semantic depth, exhaustive technical documentation & Q&A clusters that LLMs cite as expert proof.

Pillar 02
Consensus

3. Citations & Mentions

Independent consensus across Reddit, GitHub, G2, Hacker News & peer discussions.

Pillar 03
Syntax

4. Content Structure

Token-efficient QA blocks, table formatting & crawler syntax for GPTBot and ClaudeBot.

Pillar 04
Trust

5. Trust (E-E-A-T)

Verified author credentials, transparent pricing schemas, SOC-2 badges & empirical proof.

Pillar 05