GEO playbook: seven stages from diagnosis to iteration

A sequential GEO workflow: what to do at each stage, which module to use, and the definition of done.

GEO order of operations: diagnose, choose queries, structure, produce, publish, monitor, iterate.

Core capabilities

GEO Authority Score (GAS): an open-algorithm domain readiness score with a public reference script
Multi-engine citation monitoring across ChatGPT, Perplexity, Doubao, Kimi and DeepSeek
Keyword matrices and prompt libraries across brand, category and problem layers
Long-form pipeline with source provenance, human top-up markers and a pre-delivery review gate
Index push, index detection and 72-hour / 4-week / 12-week post-publish tracking
Enterprise API: GEO reports, competitor analysis, white-label client reports and webhooks

Publishing without a baseline of crawlability, structured data and existing citations makes results impossible to attribute.

Generative engines retrieve by question. Build brand, category and problem layers first, then map them to pages.

Track every published piece at 72 hours, 4 weeks and 12 weeks, and feed the result back into the next topic round.

Classic SEO vs Generative Engine Optimization (GEO)
Dimension	Classic SEO	Generative Engine Optimization (GEO)
Goal	Rank positions and clicks	Being cited and adopted inside AI answers
Retrieval	Keyword matching and link authority	Semantic recall, entities and source trust
Content bar	Cover search intent	Extractable answers with verifiable data
Technical base	Crawlability, sitemap, structured data	Same base plus llms.txt and AI-crawler access
Measurement	Rankings, CTR, organic traffic	Citation rate, share of voice, answer adoption

It depends on domain tenure, publishing cadence and earned citations. We do not promise a number of days; use 30-day observation windows.

By the 23SEOGEO team · Last updated: 2026-08-13