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I will perform a technical GEO audit for ai search
David Zhong
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About this gig
Are AI engines recommending your brand, or are hallucinations routing buyers to competitors?
Traditional SEO indexes keywords. Generative Engine Optimization (GEO) governs entity consensus across LLMs. When enterprise buyers query ChatGPT, Perplexity, Claude, or Google AI Overviews, legacy SEO fails.
As an independent technical systems consultant with 20 years of search algorithm expertise, I diagnose LLM retrieval blind spots using deterministic diagnostic pipelines.
What This Audit Delivers:
Multi-Model Consensus Benchmarking: Multi-prompt testing across top AI engines (ChatGPT, Perplexity, Claude, Gemini, Copilot) for sentiment and citation visibility.
Crawler & Edge Inspection: Deep checks for GPTBot/ClaudeBot WAF blocks, robots rules, and dynamic JS hydration failures.
Entity Grounding: Organization/Product schema validation to enforce brand authority and stop hallucinations.
Technical Action Blueprint: Engineering-grade remediation roadmap with exact microdata fixes.
Sectors: B2B SaaS, Cross-Border DTC, Legal & Professional Services.
Global Coverage: Native support for English, German, French, Spanish, Portuguese, Chinese.
Get to know David Zhong
David Zhong
Senior GEO Auditor and Creator of GEO Audit Sentinel
- FromChina
- Member sinceMar 2012
- Avg. response time1 hour
Languages
Chinese, English
With 20 years of search experience, I help B2B SaaS and DTC brands eliminate AI visibility blindspots across ChatGPT Search, Perplexity, and Google AI Overviews. I created GEO Audit Sentinel (geo-audit.co / geoshaobing.com). Using proprietary multi-engine testing, I diagnose citation gaps, fix pricing hallucinations, and deliver production-ready llms.txt files and edge JSON-LD Schemas. Every audit relies on live retrieval data and deterministic analysis, not guesswork. Let's capture your brand authority in AI search.
My Portfolio
FAQ
How does a GEO audit differ from traditional SEO?
Traditional SEO ranks links for search queries. GEO optimizes how LLMs synthesize your brand facts, retrieve authoritative data, and cite your sources. We diagnose crawler blocks, entity ambiguity, and factual hallucinations across conversational AI engines.
Which AI search engines and models are evaluated?
Depending on your package, audits cover ChatGPT, Perplexity, Claude, Google Gemini/AI Overviews, and Microsoft Copilot. We test multi-prompt entity consensus to ensure AI models deliver accurate, verified citations across user query intents.
What information or access do you need to start?
Only your primary website domain, core products or services, and up to 3-5 top competitors. No sensitive server credentials or backend logins are needed. Public sitemaps and robots.txt files are sufficient for technical crawler diagnostics.
What format is the final deliverable?
You receive an executive technical PDF audit report and an engineering-ready remediation checklist. Deliverables include crawler WAF adjustments, ready-to-deploy Schema.org JSON-LD microdata, and prioritized action steps for developers.
