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I will optimize your website for chatgpt, gemini and perplexity ai search
Drew G.
About this gig
Is your web architecture optimized for LLM token ingestion?
AI crawlers (GPTBot, PerplexityBot, Google-Extended) don't read sites like legacy search enginesthey consume compute tokens. If your technical specs are locked in multi-column PDFs or unstructured scripts, LLM chunking protocols scramble text, leading to data drops and hallucinations.
As an independent Data Infrastructure Consultant, I build the precise semantic routing layers frontier LLMs need to index your domain with 100% confidence.
What I deliver:
- Custom llms.txt Manifest: High-density markdown roadmap deployed at your root directory to feed AI scrapers directly.
- Validated JSON-LD Schema: Advanced structured data arrays to bind your organization and product entities into global Knowledge Graphs.
- Context Drift Prevention: Aligning your data to minimize semantic vector distance inside LLM embedding spaces.
Give LLMs clean data grounding. Eliminate retrieval friction and secure your canonical citations.
PLEASE SUBMIT YOUR SITE URL VIA DM BEFORE PLACING AN ORDER.
Get to know Drew G.
Drew G.
Certified AI Strategist
- FromUkraine
- Member sinceJan 2026
Languages
Russian, Ukrainian, English, German
I’m an independent B2B AI Search & GEO Strategist. I help companies optimize their websites to get cited and shortlisted by AI engines like ChatGPT, Claude, and Perplexity. If AI models are misprofiling your brand or skipping your technical features, I’m here to fix it without the fluff.
What I do:
• GEO Audits: Analyzing why AI models ignore your site.
• Structured Data: Writing clean JSON-LD to connect your brand entities.
• AI-Bot Routing: Deploying llms.txt maps to guide crawlers efficiently.
Let's make your brand AI-ready.
FAQ
What is GEO and how does it differ from traditional SEO?
Traditional SEO optimizes for keyword-matching algorithms and blue links. GEO (Generative Engine Optimization) structures your data architecture so LLMs (like ChatGPT and Perplexity) can efficiently parse, chunk, and cite your brand inside their generative conversational responses.
What exactly is the purpose of an llms.txt file?
It is a newly adopted industry specification placed at your root directory. It provides a clean, high-density Markdown roadmap specifically engineered for AI crawlers to ingest your core entity data and context without wasting valuable compute tokens on global code clutter.
Do you need direct admin access to my CMS or source code?
No. To ensure your platform's security, I do not require direct server or CMS access. I deliver production-ready clean code files (.txt manifests and JSON-LD arrays) accompanied by a precise, step-by-step implementation guide for your internal development team.
How long does it take to see visibility changes in AI search?
AI bots (like GPTBot or PerplexityBot) can register technical changes to your root files within a few days. However, full context integration and stable citation routing depend on the specific retraining and real-time data index cycles of each individual frontier model.
How do you validate the custom JSON-LD Schema arrays?
All generated structured data arrays are rigorously pre-tested using official schema validation tools and checked against LLM documentation guidelines. This guarantees syntax compliance and error-free token indexing before the files reach your development team.
