GEO, Generative Engine Optimisation for ChatGPT, Claude, Perplexity, AIO.
GEO specialist. Generative Engine Optimisation, content shape that ChatGPT, Claude, Perplexity, and Google AI Overviews can actually cite with attribution. Schema-driven entity, llms.txt + AI-crawlability, evidence-led + sourced content discipline, vertical-aware framing. The discipline that determines whether AI cites you or your competitor when buyers ask about your category.
Four GEO disciplines.
Factual, sourced, explicit
AI-cite-ready content discipline, every claim has a source, every number has a methodology footnote, every comparison has a defined frame. The content shape that survives an LLM citation pass and gets quoted with attribution rather than rephrased without attribution.
JSON-LD + Knowledge Panel + AIO
Schema-driven entity discipline, Organisation + LocalBusiness + Product + Service + Article + FAQ schemas, JSON-LD-first, Knowledge Panel-aware, validated. The entity layer that LLMs use to disambiguate brands and the schema layer that AIO surfaces draw from.
AI crawler discipline
llms.txt + llms-full.txt implementation, robots.txt discipline for GPTBot / ClaudeBot / PerplexityBot / Google-Extended, sitemap-aligned LLM index. Our 298-page implementation is the working proof point. llms.txt →
Healthcare / industrial / consumer GEO
Vertical-aware GEO, healthcare AHPRA-aligned content that LLMs can cite without violating regulatory framing, industrial capability-content built for tier-1-procurement-research citation, consumer / B2C aesthetic + occasion-aware content built for retail-research citation. Same discipline, three vertical dialects.
Where GEO discipline runs today.
121group.io
Our own llms.txt implementation across 298 pages. Auto-generated from the site build, sitemap-aligned, version-controlled. Updated on every deploy.
For Health
Healthcare network GEO discipline, AHPRA-aligned content that LLMs can cite without regulatory violation, schema-driven entity across 9 sub-brands.
PYBAR Mining Services
Industrial capability-content built for tier-1 procurement-research citation. Sourced project history, principal-engineer thought leadership, schema-driven Service entity.
- Commercials: Foundation to Growth retainers, typically $3K to $15K/mo. Management fees are named lines, agreed up front. Pricing →
- First 30 days: access, audit and strategy lock-in with the senior strategist who runs the account.
- Days 30 to 90: full delivery cadence live, first performance review, scope confirmed against the cap.
- Who delivers: a senior strategist plus the specialist pod for this service. Month to month, no lock-ins.
GEO, AEO and AI search optimisation, answered.
What is answer engine optimisation (AEO)?
Answer engine optimisation (AEO) is the practice of shaping your content and schema so answer engines, ChatGPT, Claude, Perplexity and Google AI Overviews, can extract and cite it directly. It is the AI-search sibling of traditional SEO: instead of ranking a blue link, you become the sourced answer. AEO and GEO (generative engine optimisation) describe the same discipline from two angles.
How is AI search optimisation different from SEO?
Traditional SEO earns a ranking position; AI search optimisation earns a citation inside a generated answer. It leans harder on clean schema, quotable factual statements, entity clarity, llms.txt and AI-crawler access. We run both together, because the same authority and content discipline feeds each.
What is ChatGPT SEO, and can you influence what ChatGPT says about a brand?
ChatGPT SEO is optimising so ChatGPT and other assistants surface and cite your brand accurately. You cannot control a model's output, but you can materially improve the odds: structured, factual, well-sourced content, a clean entity graph, schema, and crawlability for the AI bots that build these answers. That is exactly what our GEO / AEO engagements do.
Does llms.txt matter for generative engine optimisation?
It is one signal in a bigger system. An llms.txt file tells AI crawlers what your site is and where the canonical, citable content lives. On its own it is not magic, but paired with schema discipline and quotable content it improves how cleanly assistants read and attribute you. llms.txt implementation →
Site that should be cited by ChatGPT / Claude / Perplexity / AIO?
Thirty-minute call. We'll look at your current GEO posture, your schema discipline, your llms.txt + AI-crawlability state, and your content shape.
Book a Discovery