Answer Engine Optimization is legacy language. GEO is the current operating model.
This page exists for older searches and references. The work now lives under Generative Engine Optimization: making a company clear, trusted, and easy for ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews to cite.
The target has not changed. Buyers still ask AI systems for recommendations. The current label is simply better aligned with how generative answer engines discover, compare, and summarize companies.
What changed from old terminology to GEO
Older Answer Engine Optimization pages often treated the work like a specialist layer beside SEO: add schema, seed content, and track citations. That is too narrow for how buyers now use AI systems.
GEO starts earlier. It validates the actual pain, writes answer-first pages, connects the page to service and proof routes, and repeats the same entity signals across crawlable surfaces. It is less about a label and more about making the business unambiguous to machines and buyers.
The current GEO sequence
Step 1
Extract the exact buyer questions from sales calls, support issues, search data, and public discussions.
Step 2
Rewrite the source pages so the first section answers the question directly and names the commercial problem.
Step 3
Connect each page to the right service, proof, and supporting cluster routes so crawlers understand the relationship.
Step 4
Repeat the same definitions across owned pages, public profiles, Medium, LinkedIn, and other crawlable surfaces.
Step 5
Measure whether the brand appears, is cited, and is recommended across buyer-like prompts over time.
Related pages for the current service path
Generative Engine Optimization
The current GEO service page for companies that need visibility inside AI-generated answers.
Open pageAI services
The commercial service map for consulting, implementation, integration, agent development, and GEO work.
Open pageAI consulting services
Use this route when the first problem is deciding which workflow or buyer question should be tackled first.
Open pageProof
Use this route when the buyer needs to understand how twohundred.ai turns strategy into working systems.
Open pageLegacy terminology FAQ
Is Answer Engine Optimization the same as GEO?
Answer Engine Optimization is the older practitioner label for the work now more commonly described as Generative Engine Optimization. The buyer problem is the same: make the company clear, trusted, and easy for AI answer engines to cite.
Why does the terminology matter?
Terminology matters because teams need a shared operating model. GEO is the clearer current label because it covers ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and other generative answer surfaces without implying the work is only a technical answer box tactic.
What should a company fix first?
Start with pain-point validation, answer-first service pages, structured data, internal links, and consistent entity signals. After that, build external mentions and distribution around the same core message.
Which page should buyers read next?
The current service page is the Generative Engine Optimization page. Use this legacy page only to understand old Answer Engine Optimization terminology and how it maps to the current GEO operating model.