Answer Engine Optimization is legacy language. GEO is the current service path.
This route exists to keep older AEO demand useful. The primary service page is Generative Engine Optimization, where the current offer, links, and proof path now live.
The work did not change. Buyers still ask AI systems for recommendations. The better label is GEO because it describes the whole operating model instead of implying a narrow answer-box tactic.
What changed from AEO wording to GEO
Older AEO pages often treated the work as a specialist SEO layer: add schema, publish a few answer pages, then wait for citations. That framing is too narrow for how buyers now use AI tools.
GEO starts with the buyer question, ties that question to a clear service page, connects the page to proof and related routes, and repeats the same entity signals across owned and public surfaces. It is less jargon and more operating discipline.
The current GEO sequence
Step 1
Audit the buyer questions the site actually needs to answer.
Step 2
Rewrite the canonical service page so the first section answers the question directly.
Step 3
Add schema, links, and entity signals that match the page instead of vague positioning.
Step 4
Repeat the same definitions across owned pages and public distribution surfaces.
Step 5
Measure whether the brand appears and is cited across realistic prompts over time.
Related pages for the current service path
Generative Engine Optimization
The current service page for companies that need visibility in AI-generated answers.
Open pageAI services
The wider service map for consulting, implementation, integration, and agent development.
Open pageAI consulting services
Best when the first problem is deciding which buyer question or workflow should be prioritized.
Open pageProof
Use this when the buyer needs delivery logic, execution proof, and operating context before a call.
Open pageLegacy terminology FAQ
Is Answer Engine Optimization still a useful term?
It is still useful for legacy search demand and older references, but the clearer current label is Generative Engine Optimization. The work is the same: make the company easy for AI answer engines to understand, trust, and cite.
Should this page rank or should the GEO page rank?
The GEO page is the primary route. This page exists to catch older AEO searches, explain the terminology shift, and route buyers to the current service path without losing discovery demand.
What does twohundred.ai actually do here?
twohundred.ai rewrites answer-first service pages, improves schema and internal links, strengthens entity consistency, and builds distribution around the same buyer questions so AI systems can cite the company with less ambiguity.
What should a buyer read after this page?
Start with the main Generative Engine Optimization page, then use the AI services and proof pages to understand where GEO fits inside the wider commercial system.