AI Optimization
AI Optimization is the umbrella over AEO and GEO. It covers everything an LLM needs to read your site correctly. The deliverables are llms.txt at root, llms-full.txt for deep context, entity.json for machine identity, brand.json for voice and visual rules, aeo.json for AEO scaffolding, and ai.txt for crawler permissions. The full set together is the closest a website gets to being talkable to an AI model.
$497
1 to 2 weeks
Anyone serious about being read correctly by Claude, Gemini, and the rest.
- llms.txt and llms-full.txt
- entity.json
- brand.json
- aeo.json
- ai.txt
One phone call.
No gatekeepers.
Pick up the phone or send an email. Joseph reads every inbox, personally. The free written audit is 48 hours, no sales call. Worst case, you get a deliverable. Best case, your visibility problem is getting solved by tomorrow.
Cassville, Missouri. Nationwide service.
AI Optimization is the deep stack work.
AI Optimization (AIO) is the discipline of engineering a website to be readable, trustable, and quotable by the AI crawlers that train and ground modern large language models. AIO covers llms.txt and llms-full.txt content production (the AI specific equivalents of robots.txt and sitemap.xml), AI crawler permission policy in robots.txt (allowing GPTBot, ClaudeBot, PerplexityBot, Google Extended, OAI SearchBot, ChatGPT User, Anthropic AI, and the rest of the answer engine training crawler set), structured data hygiene (the schema engines parse most reliably), and content first architecture (HTML before JavaScript, which AI crawlers handle far more reliably than client side rendered React).
AIO is structurally different from SEO because the target audience is not a human searching Google. The target is an AI engine that will surface or quote the content to a future human. Engineering for AI engines means writing content that survives the embedding, retrieval, and reranking process the engines run before they decide what to quote. Generic SEO content optimized for keyword density routinely fails AI engine retrieval because the embeddings flatten the keyword stuffing and produce indistinct vectors. AIO work optimizes for semantic distinctiveness, not keyword density.
How an AIO engagement runs.
AIO engagements begin with a free written audit delivered in 48 hours. The audit covers the prospect's current AI crawler permission posture, the llms.txt and llms-full.txt content quality, the structured data depth, the AI Overview citation pattern across the four major engines, and the specific content roadmap that would improve quotability. Most AIO engagements are bundled with classical SEO and AEO because the three disciplines reinforce one another at the substrate level.
Production runs in two week sprints with a written progress report at the end of each sprint. The studio uses llms.txt and llms-full.txt that the AI engines actually fetch (we monitor server logs for AI crawler activity to verify), structured Article and FAQ schema with explicit author and publisher attribution, and entity graph completeness through sameAs networks tied to Wikidata, LinkedIn, Crunchbase, and the relevant industry directories. Square invoicing. Net thirty on contracts over ,997.