Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) Services
Search behavior is splitting. A growing share of queries never reach a traditional search results page at all — they go straight to ChatGPT, Perplexity, or a Google AI Overview, and the answer is synthesized from sources the AI trusts enough to cite. Generative engine optimization is the discipline of making sure your site is one of those trusted sources, not one that gets summarized around.
I treat generative engine optimization and answer engine optimization as a natural extension of solid SEO fundamentals — not a separate trick, but a different lens on the same entity, structure, and trust signals search engines have always cared about, applied specifically to how AI systems select and cite sources.
How I approach GEO & AEO
- 01
Entity and knowledge graph mapping
AI systems cite sources they can confidently attribute to a clear, well-defined entity. I structure content and schema so your expertise is unambiguous to both search engines and AI crawlers.
- 02
Answer-first content structuring
Content is restructured so direct, extractable answers sit near the top of relevant sections — this is what answer engine optimization actually optimizes for, versus traditional SEO's focus on ranking position.
- 03
Structured data for AI answers
FAQPage, Article, and Person/Organization schema aren't just for Google's classic rich results anymore; they're a primary signal AI systems use to parse and trust content for citation.
- 04
AI citation tracking
I track actual mentions and citations across ChatGPT, Perplexity, and Google AI Overviews over time, not just estimate visibility — so you can see when ai search optimization services are actually working.
- 05
Content depth and specificity
AI systems favor sources with concrete, specific detail (real numbers, real processes) over generic descriptions, which is why every recommendation here ties back to demonstrable expertise rather than surface-level keyword coverage.
What's included
- Entity and schema architecture for AI-citation readiness
- Answer-first content restructuring
- FAQ and structured data implementation
- Ongoing AI citation tracking (ChatGPT, Perplexity, Google AI Overviews)
- Competitive AI-visibility analysis
Proof this works
This isn't theoretical. An independent GEO & LLM optimization research project I ran achieved 20K+ clicks, 735K+ impressions over 12 months, and a #1 AI Overview citation — testing these exact principles against real search data. That approach was then applied to a US-based legal services firm, rebuilding their content foundation with semantic SEO principles and generating 5.7K clicks, 149.2K impressions, and 118K+ AI citations in 9 months.
See the GEO & AEO case studies →Common questions
Is generative engine optimization different from regular SEO?+
It builds on the same foundation — technical health, content quality, entity clarity — but optimizes specifically for how AI systems select, extract, and cite sources, which isn't identical to how traditional ranking algorithms work.
How do you measure success for AEO, since there's no "ranking position" to track?+
Through direct citation tracking — monitoring when and how often your site is referenced in ChatGPT, Perplexity, and Google AI Overview responses for relevant queries, alongside the traffic those citations drive.
Is this worth investing in now, or should I wait?+
Search volume and competition data show this space growing quickly with relatively low competition today compared to traditional SEO terms — sites establishing AI-citation authority now have a real first-mover advantage before the space gets crowded.
If you want your brand cited directly inside AI-generated answers — not just ranked on a results page — this is the service built for exactly that.