LLM Engine Optimization: Get Recommended by the Machines
Generative engine optimization (GEO), answer engine optimization (AEO), and LLM-EEAT — the complete service for showing up when AI answers, not just when Google lists.
Last updated: · Reviewed quarterly
What Is LLM Engine Optimization?
LLM engine optimization is a service that improves how large language model systems — ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews — discover, trust, cite, and recommend your brand. The industry also calls it generative engine optimization (GEO), answer engine optimization (AEO), or AI SEO. Whatever the label: when your customer asks an AI who to hire or what to buy, this work decides whether you're in the answer.
Why This Matters Right Now
A growing share of "searches" never reach a traditional results page. AI Overviews sit on top of most informational queries; ChatGPT and Perplexity answer commercial questions with three citations instead of ten blue links. The funnel didn't move — the gatekeeper changed. Brands optimizing only for rankings are optimizing for the previous gatekeeper.
Methodology: The Five Workstreams
1. AI Visibility Baseline
We query your commercially important topics across five engines and document exactly who gets cited today — you or your competitors — with screenshots and a scoring rubric. This becomes the benchmark every quarter is measured against.
2. Entity Engineering
One canonical brand definition, deployed everywhere: Organization, Person, and Service schema; alternateName and sameAs chains; consistent NAP and brand facts across your site and third-party profiles. Ambiguity is the number-one reason engines skip a brand.
3. Citation-Ready Content
We restructure key pages around what the GEO research shows engines actually extract: definition-first 40–60 word openings, sourced statistics, expert quotes, comparison tables, and clean subject-verb-object claims. Fresh, dated, quarterly-reviewed.
4. Corroboration Building
AI trust is earned off-site. We run review-platform buildouts (G2, Trustpilot, Clutch), industry roundup placements, community presence, and original-data PR — the independent-domain footprint that correlates with multiples-higher AI mention rates.
5. Technical AI Readiness
Robots.txt permissions for GPTBot, PerplexityBot, ClaudeBot, and Google-Extended; an llms.txt map; clean semantic HTML; and the classic technical SEO that determines retrieval eligibility in the first place.
Deliverables You Can Hold
- AI Visibility Baseline report (5 engines × your top queries, with evidence)
- Entity & schema implementation across the site
- Citation-ready rewrites of priority commercial pages
- Pillar/glossary content plan targeting your definable terms
- Corroboration campaign: reviews, mentions, and data-PR placements
- Quarterly AI citation tracking report with refresh recommendations
| You might need this if… | Because… |
|---|---|
| Buyers ask AI "best [your category]" questions | Recommendation queries are where AI engines intercept purchase decisions |
| You rank well but AI cites competitors | Rankings qualify you for retrieval; entity trust decides selection |
| Your brand is described wrongly by chatbots | Entity ambiguity compounds — every wrong answer trains the next |
| You sell expertise (B2B, SaaS, services) | High-consideration purchases are the most AI-mediated of all |
Case study
TODO: client case study with real before/after AI-citation metrics goes here once available. We don't fabricate numbers — see our showcase for 55+ verifiable live builds in the meantime.
Proof, not promises. We've designed, built, and optimized 55+ live websites across industries — every one of them public.
Browse the full showcase →An honest caveat: no agency can guarantee placement in AI answers — anyone promising it is lying to you. The mechanics of how engines select sources are knowable and improvable; the outcome is probabilistic, not deterministic. We optimize the probabilities and show you the measurements.
We practice every tactic on this very site first — check our LLM-EEAT pillar, our robots.txt, our glossary. If it doesn't work on us, we don't sell it to you.
Find out who AI recommends in your market.
Free baseline on a 30-minute call: five engines, your top queries, screenshots included. No obligation, mild existential dread possible.
Book Your Free AI Visibility AuditGot questions? We've got answers.
What's the difference between LLM optimization, GEO, and AEO?
They're overlapping labels for the same territory. GEO (generative engine optimization) targets citations inside AI-written answers; AEO (answer engine optimization) targets extracted direct answers; LLM engine optimization is our umbrella service covering both, plus the LLM-EEAT entity and trust work underneath them.
Can you guarantee my brand appears in ChatGPT or AI Overviews?
No — and nobody honestly can, because source selection is probabilistic and shifts with every model update. We guarantee the inputs and the measurement: entity clarity, citation-ready content, corroboration growth, and transparent quarterly tracking of where you actually appear.
How do you measure AI search visibility?
We run a fixed panel of your commercial queries across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews each quarter, recording brand mentions, citations, sentiment, and accuracy — then compare against baseline and competitors.
Do I need traditional SEO first?
Mostly yes. AI-cited pages overlap around 90%+ with organic top-10 pages, so classic search performance is the qualifying round. If your foundation is weak we fix that in parallel — it's the same team here anyway.
How quickly does LLM optimization work?
Engines that retrieve live can reflect schema and content fixes within weeks. Corroboration and entity trust compound over three to nine months. Freshness then maintains it — the large majority of AI citations for commercial queries go to pages updated within the past year.
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