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AEO + LLM SEO Monaco
Be cited by ChatGPT, Perplexity, Claude, and Gemini when a Monaco UHNW prospect asks. AEO is the discipline of being the source the LLM picks. Distinct from Google-specific GEO. Measurable. Quarterly audited.
Why this is a separate practice from SEO
Traditional SEO optimises for blue-link rankings on a SERP. The user sees 10 results and picks. AEO optimises for being the citation an AI engine reproduces in its answer. The user often sees the answer without clicking — your brand is mentioned or it is not. The skill set overlaps with SEO at the schema and authority layers but diverges sharply on prompt-anticipation, citation-friendliness, and primary-source linking.
“AEO is where SEO was in 2008 — most agencies treat it as a flavour of SEO, not as a separate discipline. The brands that win the next decade are the ones building AEO measurement loops now, while the keywords are still cheap and the citation slots still open.”
What an MC AEO programme covers
- Citation-target prompt mapping. We identify the 20-30 prompts a Monaco UHNW buyer would actually ask an LLM ("best Monaco yacht broker", "Loi 1.565 compliance for marketing", "private bank Monaco family office"). These become the citation targets — pages get optimised for them specifically.
- Schema graph integrity audit. Article + Person + Organization + WebSite schemas with unified absolute @ids. Citations inline. FAQPage on key pages. SpeakableSpecification on lede paragraphs. The technical foundation LLMs use to disambiguate sources.
- Primary-source linking layer. Inline footnotes citing primary regulatory/expert sources (law articles, official guidance, named studies). LLMs strongly prefer citing pages that themselves cite. Especially critical for compliance/finance/legal content.
- AI-agent surface manifest. llms.txt + AGENTS.md at site root. These emergent specs let AI agents understand site capability + how to cite. Most luxury brands don't have them — meaningful differentiator.
- Quarterly citation audit. We query all 4 engines (ChatGPT, Perplexity, Claude, Gemini) on the 20-30 target prompts and capture: who was cited, in what context, how prominently. Delta over time = the only true measurement of AEO progress.
FAQ
What is the difference between AEO/LLM SEO and GEO?
GEO (Generative Engine Optimization) specifically targets Google AI Overviews and its Gemini ecosystem. AEO/LLM SEO is broader: optimising for citations across ChatGPT search, Perplexity, Claude, and other LLM-driven answer engines. The techniques overlap by 60-70%, but each engine has specifics: Perplexity favours sources with clear editorial authority, ChatGPT privileges pages with FAQ structure + Person schema, Claude weights primary-source citations more heavily. An MC AEO programme covers all 4 simultaneously.
How long before the first LLM citations?
Varies by engine. ChatGPT search and Perplexity refresh their web index near-real-time (24-72h post-publication). Google AI Overviews + Gemini follow the classic Google crawl cycle (1-4 weeks). Claude uses a less frequently refreshed index (variable, sometimes months). Realistic cadence for a well-optimised page: first Perplexity citation in 7-14 days, ChatGPT 14-21 days, Google AI Overviews 30-60 days, Claude 60-180 days.
What signals matter most for LLMs?
Five structural signals dominate: (1) Article + Person + Organization schema unified with absolute @ids, (2) inline citations of primary sources (footnotes with anchors), (3) FAQPage schema on key pages, (4) SpeakableSpecification on main paragraphs, (5) llms.txt + AGENTS.md at site root. Secondary signals: E-E-A-T (named author + bio + LinkedIn), accurate datePublished/dateModified, correct hreflang, logical H1→H2→H3 structure with no skipped levels. The content itself must be citation-friendly: declarative, structured, with concrete data.
How do you measure LLM citations?
Three measurement layers: (1) referrer tracking: Plausible/Matomo/GA4 segment for referrers starting with perplexity.ai, chat.openai.com, claude.ai, gemini.google.com — gives traffic, not citations themselves, (2) mention monitoring: DataForSEO LLM mention search or Brand24-tier monitoring on target prompts like 'best Monaco luxury marketing agency', (3) quarterly manual audit: we query all 4 engines on 20-30 target prompts and capture attributed citations. Without this baseline measurement, AEO is blind investment.
Does AEO replace traditional SEO?
No. Traditional SEO remains critical: (a) Google is still the #1 worldwide engine for Monaco UHNW (LLMs are growing but not yet replacement), (b) LLMs often cite their sources via clickable links generating standard web traffic, (c) SEO signals (domain authority, backlinks, schema) are themselves inputs to LLM algorithms. AEO is an additional layer for queries migrating to answer engines, not a replacement. Ideal strategy: SEO baseline + AEO layer on key pages where investment justifies measurement.
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