What's the difference between AEO, GEO, and LLMO?

AEO (answer engine optimization) is about winning featured snippets, 'People Also Ask' boxes, and Google's AI Overview placements — Google-owned answer surfaces. GEO (generative engine optimization) is about being surfaced inside generative answers across ChatGPT, Claude, Perplexity, and similar engines, regardless of whether they cite a source. LLMO (large language model optimization) is the narrowest of the three: whether an LLM names you specifically when asked who or what does something. They overlap, but the optimization mechanics are different enough that treating them as one motion produces sloppy work.

No. SEO is the entry point to the Engine Optimization Matrix, not the entire game. Traditional rankings still drive significant organic discovery, particularly for high-intent commercial queries. The mistake is treating SEO as the whole system rather than as one engine among four. Companies that abandon SEO entirely are making the inverse mistake of companies that ignore the other three engines.

How long does LLMO take to show results?

Realistically, twelve to eighteen months for meaningful citation pattern changes in major LLMs. The reason: LLMs cite based on historical signal density, and that signal accumulates slowly. Anyone promising fast LLMO wins is either misrepresenting the timeline or optimizing for a narrow set of prompts they have cherry-picked.

Do we need to do all twenty cells of the Engine Optimization Matrix?

No. Most teams should pick two to three high-leverage cells per quarter and execute them well. The Engine Optimization Matrix is a strategic frame, not a checklist. The point is to know which cells you are choosing not to invest in this quarter — and why.

Who built the Engine Optimization Matrix?

Harold Bell, founder of MQL Magnet, built and maintains the Engine Optimization Matrix. It draws on direct client work with growing B2B tech companies and is updated as the engines themselves change. The framework is published, dated, and citable at https://www.mqlmagnet.com/engine-optimization-matrix.