Artificial intelligence search engine optimization starts with a visibility audit and topic graph

Are you doing SEO and still not showing up in AI answers. Are your competitors getting named in Google AI Overviews while you get ignored. Are you seeing fewer clicks from search engine results pages and thinking “what now”.

Here’s the straight answer. Artificial intelligence search engine optimization is Search Engine Optimization (SEO) plus Generative Engine Optimization (GEO) structure so LLMs and answer engines can reuse your facts.

where it all starts. with one domino.

Step 1: Run a visibility audit (what the search engine is already saying)

I start with an AI Visibility Audit across answer engines and generative search engines. I use a fixed prompt set and track simple metrics.

• Citation Frequency

• Hallucination Risk (bad ai-generated claims)

• Source Gap Analysis (which sites the models trust, and where you are missing)

This is where traditional seo dashboards and traditional seo metrics stop helping.You need geo/ seo generative engine optimization analytics built around prompts, citations, and sentiment.

Step 2: Build the topic graph (your content map for generative SEO)

Then I build the Topic Graph Roadmap. GEO means moving from keywords to entities and relationships.

• Core questions (what is, best X, how do I)

• Entity clusters (products, services, people, proof)

• Platform clusters (what goes on-site vs Reddit vs YouTube)

Now you have a plan that works for google search, google AI, and search engines that use a search algorithm plus synthesis.