FAQs
1 / What is Generative Engine Optimization (GEO)?
GEO is how I shape your brand and content so it gets cited inside AI answers.
In Detail:
-
It is generative engine optimization for AI-driven discovery.
-
It overlaps with answer engine optimization when the query is pure Q&A.
It targets generative engines work patterns like chunking, retrieval, and synthesis.
Next step: Read the How DEL GEO audits your data and sets the baseline for GEO and generative SEO
2 / What is the difference between GEO and SEO?
Search engine optimization (SEO) fights for clicks.
GEO fights for mentions.
Details:
-
Traditional SEO focuses on rankings in search engine results pages (SERP).
-
GEO focuses on being included in the AI-generated response itself.
-
Traditional SEO focuses on link distribution.
GEO focuses on attribution and quoting.
Next step: See Our DEL GEO process (simple, repeatable, measurable)
3 / Is SEO dead because of AI search?
No. But SEO alone is not the full job anymore.
Details:
-
AI often still starts with the web and search engines.
-
Traditional search engine signals can still matter for retrieval.
-
Then the answer gets summarised.
That summary can remove the click.
Next step: Look at Generative AI Engine Optimization - measurement without clicks.
4/ What is “Answer Engine Optimization (AEO)”?
It is writing answers so an answer engine can reuse them cleanly.
Details:
-
Answer engine optimization (AEO) is AEO written out.
-
It rewards clear questions, clear answers, and proof.
It works well for “best X”, “how do I”, and “what is” queries.
Next step: Add the FAQ schema to your main pages.
5 / What is “Artificial Intelligence Search engine optimization”?
It is SEO adapted for AI-driven search environments.
Details:
-
I still use technical SEO basics.
-
Then I add GEO structure so LLMs can extract facts.
That combo is what most SEO experts are moving towards.
Next step: Artificial intelligence search engine optimization starts with a visibility audit and topic graph.
6 / Why do AI answers ignore my site even when I rank?
Because ranking is not the same as being quoted.
Details:
-
The model prefers chunks that are easy to reuse.
-
It prefers clarity over clever writing.
-
It prefers proof, numbers, and stable entities.
It may choose other sources that look “more certain”.
Next step: GEO generative engine optimization: rebuild key pages into answer blocks.