I built CogNerd around three pillars: written content, AI‑generated UGC video, and AI‑search visibility measurement with citation tracking across eight LLMs.
I have published about 22 articles at cognerd.in/blogs covering AI overviews, GEO/AEO, Reddit citations, topical authority, brand entities and content freshness.
I built CogNerd's pricing page in HTML and Tailwind with an INR/USD toggle and an ROI calculator, and our SEO services page in Next.js.
I created the “AI Brand Visibility Framework” infographic—a seven‑layer model for AI search—plus an AEO vs. GEO Venn diagram and a B2B SaaS prompt‑tracking infographic.
I wrote a LinkedIn newsletter issue on AI citation fragmentation and assembled CogNerd's 13‑section new‑joiner manual.
Our proof point for Sovo International (education) is zero AI citations to top recommendation in 8 weeks, 50+ leads, under ₹100 per lead.
For AB7, a B2B healthcare client, entity engineering won AI citations (count undisclosed).
I built a “frontend‑engineer” agent skill with three design dials (variance, motion, density), an anti‑slop checklist and GSAP patterns.
During our AWS migration I set up a VPC with subnets and NAT, provisioned an m7i.xlarge EC2 instance, and moved RDS to a standard PostgreSQL on db.t4g.medium with gp3 storage.