ANSWER LIBRARY
GEO and SEO questions
Clear definitions, boundaries and measurement methods come before growth claims. These answers are written as both buyer guidance and independently extractable knowledge blocks.
Content reviewed:
- 01
What is GEO?
- GEO stands for generative engine optimization. It focuses on whether generative search and AI assistants can discover a brand, understand its facts correctly, cite supporting sources, and include it in relevant buyer shortlists or recommendations.
- 02
How is GEO different from SEO?
- SEO helps pages get crawled, indexed and discovered through search results. GEO additionally examines how AI answers resolve entities, select evidence, restate facts and form recommendations. They share crawl, content and authority foundations, but their outcomes should not be blended into one score.
- 03
Why is SEO treated as GEO foundation work?
- If a site cannot be reliably accessed, indexed or interpreted, AI systems lack a stable discovery and verification path. WantAI GEO therefore includes only necessary SEO work such as crawlability, indexing, architecture, structured data and regional configuration. It does not sell generic keyword retainers.
- 04
Why does one interface language still require market-specific diagnostics?
- The website language controls the reading interface, not the service geography. Platforms, buyer language, competitors, trusted sources and conversion paths differ by country and region. WantAI GEO keeps a separate question panel, sample, date and denominator for each target market, then identifies shared assets and local actions.
- 05
What does the free website snapshot check?
- The snapshot checks public response status, titles and descriptions, canonical URLs, crawl and index directives, robots, sitemaps, language signals, heading structure, structured data and basic answer-ready content. It is a scope check, not a measurement of AI-platform visibility.
- 06
How does a paid GEO diagnostic measure AI-platform performance?
- We freeze a market-specific question panel, then record the date, consumer interface or API boundary, account state, sample size and denominator for every platform. Human review assesses mentions, valid citations, recommendations, factual accuracy and action paths. Platform denominators remain separate.
- 07
Do structured data or llms.txt guarantee AI citations?
- No. Structured data and llms.txt may help machines interpret a site, but neither proves nor guarantees that an AI platform will mention, cite or recommend a brand. Observed visibility requires real platform runs against a frozen panel with reviewable evidence.
- 08
How long does GEO take to show results?
- There is no universal guaranteed timeline. Site repairs can be validated immediately, while indexing, independent evidence and AI answers depend on platform updates, competition and source development. We retest the same panel on agreed dates and report directional change without promising unverifiable rankings or recommendations.