GEO Methodology

Generative Engine Optimization, explained

GEO is the discipline of measuring and improving how your brand appears in AI-generated answers — not just search result pages. Metis gives you the monitoring, knowledge infrastructure, and content workflows to run it systematically.

GEO vs SEO

Two surfaces, two optimization loops

SEO optimizes for ranked links. GEO optimizes for synthesized answers, citations, and entity representation inside generative engines.

Dimension Traditional SEO GEO (Metis)
Primary surface Search engine result pages (SERPs) AI assistant answers (ChatGPT, Perplexity, Gemini, Claude, Grok)
Success metric Rankings, clicks, organic traffic Weighted AI visibility, citation rate, share of voice vs. competitors
Content goal Keyword-optimized pages for crawlers Citable, structured sources models can reference accurately
Competitive intel SERP feature tracking, backlink analysis Probe-based competitor benchmarks across generative platforms
Knowledge layer Sitemaps, schema markup Entity knowledge graphs + published knowledge sites on your domain
Measurement cadence Weekly/monthly rank checks Daily standardized GEO probes with trend history
Optimization loop Publish → wait for crawl → check rankings Monitor → Diagnose → Structure → Publish → Measure (closed loop)

The Metis framework

Five steps to generative visibility

Metis operationalizes GEO as a repeatable workflow inside the Console — from daily probes to published content that moves your scores.

1

Monitor

Run daily standardized probes across leading AI engines. Track weighted visibility, citations, sentiment, and competitor share of voice automatically.

2

Diagnose

Surface entity gaps, narrative drift, and category prompts where competitors win. Brand Monitor alerts you when AI representations change.

3

Structure

Build knowledge graphs that map your brand entities, relationships, and evidence. Identify missing fields that weaken model understanding.

4

Publish

Ship structured knowledge sites and GEO-scored content via the Content Agent. Give generative engines authoritative, citable sources on your domain.

5

Measure

Close the loop — the next probe cycle proves what moved. Compare before/after visibility, citation patterns, and competitor deltas with historical data.