GEO
See Yourself: How to match content with intent, not keywords
Keywords don't get you cited. Intent alignment does. A visual breakdown of how rerankers score your content against real user queries — and how to optimize for it.
May 2026·12 min read
Founder & CEO · Hyderabad, India
Building infrastructure
for the AI-first internet.
I'm Prasanth. I work on AI search optimization (GEO), agent tooling, edge systems and knowledge graphs — the primitives most people haven't needed yet, but will.
GEO
AI Search Optimization
Making sites machine-readable so they get cited by ChatGPT, Claude, Perplexity and Gemini — not just crawled.
Agents
MCP & Computer Use
Autonomous coding and UI control agents built on Claude Computer Use and the Model Context Protocol.
Models
LoRA / QLoRA fine-tuning
Parameter-efficient fine-tuning for narrow, production-grade LLMs that earn their inference cost.
WRITING
Articles & notes
GEO
How rerankers decide which brands get cited in AI search
Perplexity, ChatGPT, and Google AI Overviews all use rerankers to pick which websites make it into their answers. Ranking #1 in Google doesn't mean you'll get cited. Here's what actually decides.
May 2026·16 min read
LLMs
How to get into LLMs mind — critical understanding of Rerankers
Rerankers are how you give an LLM the best possible context. A deep dive into cross-encoders, the two-stage pipeline, and why vector search alone isn't enough.
May 2026·14 min read
GEO
GEO is the new SEO: Optimizing for Generative Engines
Search is being rewritten by LLMs. Why ranking for ChatGPT, Perplexity and Claude matters more than the blue links.
May 2026·7 min read
Infrastructure
Serving AI crawlers machine‑optimized markdown at the edge
How Hypotext detects GPTBot, ClaudeBot and PerplexityBot and serves them a clean, citation‑friendly version of your site.
Apr 2026·9 min read
Agents
Knowledge graphs are the missing primitive for agents
Vector search alone won't get us there. Why structured knowledge is the substrate AI agents will run on.
Mar 2026·6 min read
LLMs
LoRA and QLoRA in production: a practitioner's notes
Lessons from fine‑tuning small models for narrow tasks — what works, what breaks, and where parameter‑efficient methods shine.
Feb 2026·11 min read
Agents
Claude Computer Use & MCP: Building autonomous coding agents
A pragmatic look at giving models real hands — what the MCP protocol unlocks, and the failure modes nobody warns you about.
Jan 2026·8 min read
GEO
Tracking your brand across the AI answer layer
If your customers now ask an LLM before Google, you need to know whether you're being mentioned, cited, or ignored.
Dec 2025·5 min read
Working on something at the edge of AI?
I'm always interested in conversations about agent infrastructure, GEO, and the long game.
prasanthsd4@gmail.com