
Generative Engine Optimization: How to Get Cited by ChatGPT, Claude, and Perplexity
What GEO/AEO actually is, the mechanics of how AI engines pick which sources to cite, and the on-site changes that move the needle for local service businesses.


What GEO/AEO actually is, the mechanics of how AI engines pick which sources to cite, and the on-site changes that move the needle for local service businesses.
• Generative Engine Optimization (GEO) helps businesses get cited by ChatGPT, Claude, Gemini, and Perplexity. It differs from classic SEO, prioritizing structured data, factual claims, FAQ content, and authority mentions. Key wins include FAQ schema, llms.txt, and local press citations.
The way customers find services is shifting. Not as fast as the AI press cycle suggests, but the curve is real. A meaningful slice of search-driven business inquiries now starts with someone asking ChatGPT, Claude, Gemini, or Perplexity for a recommendation. The businesses cited get the call. The ones that aren't get nothing.
This pillar explains the actual mechanics, not the breathless takes, and what to do on your site to move the needle.
Generative Engine Optimization is the practice of making your site easy for AI engines to ingest, understand, and cite. It overlaps heavily with Answer Engine Optimization (AEO), the older term that came out of the Alexa and Google Assistant era. We use the two interchangeably here. GEO overlaps with classic SEO but has different priorities. Where classic SEO ranks pages for keyword relevance, GEO ranks claims for factual extractability.
The mechanic underneath: when a customer asks ChatGPT "best plumber in Titusville FL," the model has to decide what to say. It has two sources:
Your job is to be in both. Training-time presence requires authority signals across the open web (your site, but also third-party mentions, press, citations on authority domains). Retrieval-time presence requires being easy to extract, clean structured data, factual claims, well-organized content.

The three-stage retrieval pipeline that determines which sources AI engines cite.
This is the big one most operators miss. AI engines weight mentions on authority sites (chambers of commerce, local press, industry directories, .gov and .edu where applicable) heavily, because these are the sources their training and retrieval pipelines trust most.
For a Florida service business, the high-impact moves include getting listed on your local chamber of commerce site with a real description, pitching local press such as Florida Today and Space Coast Daily with a genuine story, and building a presence on Reddit subreddits for your area like r/SpaceCoast and r/Brevard with genuine helpful answers.
These mentions don't move classic SEO rankings much. They move GEO rankings significantly because AI engines treat them as trust signals.

Authority mentions on trusted domains act as high-value trust signals for AI citation engines.
GEO is additive, not a replacement. Classic SEO still drives 85%+ of search traffic for most local businesses. The order to invest in is get classic local SEO working first, then add the GEO layer on top with schema, FAQ structure, llms.txt, and factual content.
A business that nails classic local SEO but ignores GEO loses a portion of available traffic today, growing. A business that focuses only on GEO without the classic foundation will be invisible at scale. Do both.
If you want our take on where your site currently stands on the GEO axis specifically, the AI Search Optimization service page lays out the audit we run for new clients. The complete pillar guide library covers the surrounding playbook.
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