GEO · AEO · Voice · LLM Optimization

AI Engine Optimization

Position your brand inside generative AI answers across ChatGPT, Perplexity, Google AI Overviews, and Gemini. Workflows for entity coverage, semantic clusters, and answer-first content that LLMs cite.

What it is

AI Engine Optimization, defined.

AI Engine Optimization (AEO) is the practice of optimizing content so generative AI engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude — cite your brand inside their answers. Generative Engine Optimization (GEO) is the broader discipline that produces those citations: entity grounding, semantic structure, and answer-first content shapes that LLMs can extract and reproduce verbatim.

Why it matters

The cost of not fixing this.

Roughly 30% of B2B research queries that used to land on a Google SERP now resolve inside an AI answer the buyer never clicks past. If your brand isn't cited there, you're invisible to that 30% — regardless of where you rank in Google. Every month without entity grounding compounds the gap; cited brands keep the citation, uncited brands fall further behind.

How it works

Engagement mechanics.

An eight-week diagnostic + execution sprint. Weeks 1–2 score your site against the 18-factor AEO readiness check. Weeks 3–4 build the entity foundation (Person/Organization schema, Wikidata Q-id where applicable, sameAs graph). Weeks 5–8 ship answer-first content for the top 20 commercial queries plus a quarterly maintenance plan. Output is a documented playbook your team applies after the engagement ends.

The process

Phased, not pitched.

Each phase has a defined scope, a defined deliverable, and a defined timeline. No mystery, no scope creep.

  1. 01

    Days 1–10

    AEO readiness audit

    Run the 18-factor AEO readiness check across your site. Score current citation rate inside ChatGPT, Perplexity, and Google AI Overviews for your top 20 priority queries. Output: prioritized fix list, ranked by effort/impact.

  2. 02

    Days 11–25

    Entity foundation

    Person/Organization schema deployed and validated. Wikidata Q-id created (where eligible) with verified P-statements. sameAs graph audited and reinforced across 8+ authoritative platforms.

  3. 03

    Days 26–50

    Answer-first content

    Rewrite the top 20 commercial pages in answer-first shape — definition blocks, FAQ schema, citation-dense paragraphs LLMs can extract. Internal-link routing tuned for entity reinforcement.

  4. 04

    Days 51–56

    Citation tracking

    Monitoring deployed (custom n8n workflow + manual prompt audits) so you know which queries you're cited for and which you aren't. Monthly citation report set up for ongoing tracking.

What you walk away with

Measurable outcomes.

  • First citations in ChatGPT and Perplexity for your category typically appear within 6–12 weeks
  • 18-factor AEO readiness score lifts from baseline to passing on at least 14 factors
  • Knowledge graph footprint expands: Person/Org schema deployed, sameAs reinforced, Q-id triggered or set up for triggering
  • Monthly citation report quantifies ChatGPT and Perplexity coverage for your priority queries
  • Documented content-shape playbook your team applies to new content beyond the engagement
Evidence

Receipts, not promises.

Built and deployed for 14 B2B clients across UK, USA, Canada, and UAE. Average lift from baseline to active citation: 8.3 weeks. Recently delivered for a UK packaging brand (10× citations in 9 weeks) and a Canadian healthcare practice group (cited for 4 of 5 priority queries within 11 weeks).

Capabilities

What's covered under this pillar.

  • GEO
  • AEO
  • LLM Optimization
  • Voice Search
  • ChatGPT SEO
  • Perplexity
  • AI Overviews
FAQ

Honest answers, before the call.

What is AI Engine Optimization (AEO/GEO)?

AEO is the practice of optimizing content so AI search systems (ChatGPT, Perplexity, Google AI Overviews, Gemini) cite your brand. GEO (Generative Engine Optimization) is the broader discipline of structuring entity, semantic, and answer-first content for LLM retrieval.

How is this different from regular SEO?

Traditional SEO targets ranked links; AEO/GEO targets cited paragraphs inside AI answers. Different content shape, stricter entity discipline, and heavier reliance on schema and Knowledge Graph signals.

How long until I show up in AI Overviews?

Initial citations typically appear in 6–12 weeks for content with strong entity grounding. Sustained presence requires ongoing content + schema reinforcement.

Does AEO replace traditional SEO?

No — they reinforce each other. The pages Google ranks are the pool LLMs sample from when they generate answers. Drop your Google rankings and your AI citations decay too. Both disciplines target the same upstream signals (entity clarity, structured data, topical authority); they just measure success differently — ranked links vs cited paragraphs.

Which AI engine should I prioritize first — ChatGPT, Perplexity, or Google AI Overviews?

Google AI Overviews has the highest query volume and lifts your traditional rankings as a side effect — it's the highest-ROI starting point for most B2B brands. Perplexity is second for technical/research queries; ChatGPT is third but worth tracking because it has the largest user base. We optimize for all three but sequence the work.

Does schema markup actually help with AI citations?

Yes — schema (especially FAQPage, HowTo, Article, and Product) makes content extractable in chunks LLMs can quote verbatim. Schema isn't a magic citation trigger, but un-schema'd content competes against schema'd content for the same citation slot. The brands cited most consistently have it deployed across their templated pages.

AI Engine Optimization

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30 minutes, live screen-share, 5 prioritized fixes for this exact pillar. Concrete recommendations in your inbox within 48 hours of the call.

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