Tools that bridge search science and AI retrieval
Two kinds of tool here: free interactive utilities you can run right now, no sign-up — and the three proprietary instruments I've built for practitioners, grounded in Google patent research and used by 1,647 people worldwide, acquired entirely through organic search. Each one fills a real gap between what content teams produce and what AI systems actually cite.
Try these free — no email required
AEO Citeability Checker
Paste your content and score how ready it is to be cited by ChatGPT, Gemini, and Perplexity — with specific fixes.
Check my content →SERP Snippet Preview
See exactly how your title and meta description render in Google — with pixel-width and truncation warnings.
Preview my snippet →Query Fan-Out Explorer
Enter a seed query and see the related questions and sub-queries search engines and LLMs expand it into.
Expand a query →Schema JSON-LD Generator
Fill a short form and copy ready-to-paste Article, FAQ, or Person structured data for richer results.
Generate schema →Built for practitioners, used by 1,647
Query Fan-Out Generator
Built on Google's Query Fan-Out patent research, it generates the full semantic expansion of any seed query so your content covers how search engines and LLMs interpret intent — not just exact-match keywords. It surfaces the topical gaps your competitors are filling and gives you the architecture to fill them first. The free Query Fan-Out Explorer above is a lightweight, on-site preview of this tool.
Request access →LLM Query Builder
Constructs optimized query structures for LLM-based SEO research and entity mapping. Built for practitioners who need to work with AI retrieval systematically, not ad hoc. Every interaction strengthens the topical-relevance signal that matters in the GEO and AEO space.
Request access →AI Humanizer
Transforms AI-generated drafts into content that reads naturally, holds topical depth, and aligns with how LLMs evaluate quality signals. Drives 60–72% session engagement — users work with it, not through it. Built because content that AI models cite has to be genuinely useful, not just optimized.
Request access →Authority signals, not vanity metrics
No tool bridged Google's patent-level search science and AI-retrieval content strategy — so I built three. Together they created the entity signal LLMs treat as a credibility marker, and they've onboarded 1,647 practitioners across the UK, US, and EU with zero paid spend.
Grounded in research
Every tool starts from primary source material — Google patents and how retrieval systems actually score and select content — not from recycled best-practice blog posts.
Distributed by usefulness
1,647 users, 100% organic. The tools spread because they solve a real problem, which is exactly the signal search and answer engines are built to reward.
Tied to outcomes
They aren't side projects — they're part of a system that grew LLM referral traffic 22× and lifted GSC impressions from 680K to 3.78M.