Harshak Patel
Harshak Patel runs Hidden Layer, where the work is auditing how AI systems surface — or refuse to surface — brands and products. Background in enterprise product data and catalogue intelligence. The publishing rule here is simple: every article ships with its sources, its per-fact confidence, and the claims that were cut. The methodology is public and reproducible, and that, not the byline, is the credential.
About Hidden Layer
Hidden Layer publishes when a finding survives adjudication — cadence is not the point. The audit corpus underneath the writing is: every post is grounded in the same agent-readiness audit we run as a product, scored on a single 100-point scale and applied to whatever domain the post is about.
The stack is deliberately free-tier: Common Crawl, Wayback Machine, public sitemaps, and a small set of OSS analysis tools. No paid SaaS feeds, no headless browser farms, no embargoed datasets. If a finding cannot be reproduced from public infrastructure, it does not run.
The methodology lives in the audits, not in the bios. Anyone can run the same checks on their own domain and get the same numbers. That is the credential.
Recent posts
- Cloudflare’s September 15 AI Crawler Update: What Actually Shipped2026-08-10 · 9 min readCloudflare shipped a no-training preference that preserves search access for accountable mixed-use crawlers, migrated legacy settings, and began recommending different presets for new ad-supported and non-ad domains. Six days is not enough to claim a visibility effect; this review separates the verified controls from the result still being measured.
- Google made GEO “official”: what the docs actually say2026-06-22 · 6 min readGoogle now tells you how to optimize for AI search. The honest reading: Google declared GEO to be SEO and told you to stop buying AI files and special schema. That advice is also self-serving, so we audit Google’s claims the same way we audit everyone’s.
- Anatomy of a prompt: entity matching, semantics, and why keywords are not enough2026-06-18 · 6 min readAI search does not keyword-match. It resolves entities, reads constraints, maps intent, and chooses sources. A prompt is a decision object, not a string.
- Free vs paid AI: why your GEO strategy splits by platform tier2026-06-18 · 7 min readFree-tier AI relies more on training memory. Paid-tier AI adds retrieval, shopping feeds, and agentic actions. The same brand needs two tracks, not one GEO checklist.
- AI discoverability by business type: will your buyer ask an AI?2026-06-18 · 8 min readNot every category needs the same GEO investment. The first question is not "how do we rank in AI?" It is whether your buyer uses AI at the moment a purchase decision is being made.
Press inquiries
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