I build things people use, and make things people watch.

I work across marketing, content, and go-to-market, and I build with AI well enough to ship real systems: 26 free marketing tools, autonomous agents, and published research on how AI search reads Indian businesses. The proof is one scroll down, and every bit of it runs live on this site.

$ ./run ~/named --live

Named: get named when customers ask AI

My product. AI is the new word of mouth, and I make sure it drops your name.

Your customers ask ChatGPT and Google's AI who to book instead of scrolling. I find what is stopping AI from recommending you, fix it, and keep it working. One dental clinic went from 81 to 92 out of 100 in 3 days.

  • I check your site and hand you the fixes: find something worth fixing or it is free
  • You watch your score and whether AI names you on a private live dashboard
  • I keep publishing the content AI quotes, so you stay recommended
named / your dashboardLIVE
The Named dashboard: a clinic's AI readability score, whether AI names them, competitor watch and score timeline
$ ./run ~/tools --live

Tools I built, live on this site

Most marketers buy their stack. I build mine.

AI is changing how customers find brands and how copy gets judged, so instead of writing about that shift I built tools for it and shipped them on my own infrastructure. Twenty-six of them now, all free, no signup, nothing stored. This is the part of "marketer who builds" you can actually click.

start here

Paste a URL.
Get a grade.

The Report Card runs every visibility check I have against your site, scores it out of 100, and ranks what to fix first. About ten seconds. No signup, nothing stored.

Grade my site free →
what it checks
AI readabilitystructured datarobots.txt social previewheadingsJS shell

Every check is a plain algorithm. Same input, same answer, every time. You see the score before I ask you for anything.

These tools have receipts: 64 Indian business sites scanned, every score published with the method attached →

$ whoami

Vishesh Kulshrestha is a Bengaluru-based marketer who builds. He works across marketing, content, go-to-market, AI workflows, and product execution, shipping real campaigns, growing audiences, and building free, no-signup marketing tools for AEO, brand voice, and cold email. He is building this work into a small independent practice for founders and teams who want a marketer that combines strategy, AI, writing, and product thinking. Explore the tools, read the blog, or see the work below.

$ open ~/neuromind --campaign

A campaign for a product that doesn't exist

Concept, brand, and creative, invented and executed solo.
vishesh / campaign reel
vishesh@work:~$

NeuroMind is a fictional neural-implant brand I built a satirical campaign around. I created the brand identity, wrote the positioning, and produced the ad creative: scripting, storyboarding, acting in, shooting, and editing every piece. The campaign has a real point of view. It sells a brain chip while quietly arguing you don't need one. I also made an AI-deepfaked product-review video in the style of a well-known tech reviewer, doing the voice and face work myself.

The film here is the centerpiece. Below is the brand world: the Instagram identity and campaign art, all designed for this project.

scriptwritingstoryboardingon-cameravideo-editingbrand-identityai-deepfakeart-direction
NeuroMind Instagram brand grid
NeuroMind brand world. Instagram identity, campaign art, and product visuals, designed for the project
$ ./run optimus --sre-agent

An autonomous AI system, built in 8 days with zero code background

AI Engineering Internship · Optimus Information Inc.

I joined Optimus with a marketing and content background. I had never written code, never opened VS Code, never touched an API. The brief was one line: build something useful with AI. Eight working days later I had shipped SRE Agent, an autonomous incident-response system that watches JIRA for critical tickets, pulls logs from Azure, runs a structured Claude diagnosis, and posts a full root-cause analysis back to the ticket in under 60 seconds.

I didn't write the Python by hand. I directed AI tools to build it, which is the actual point. The skill here is turning a vague problem into a working system by thinking clearly and directing AI precisely, then having the judgment to catch it when the output was wrong.

eval score across 7 scenarios0.89 / 1.00
full AI diagnosis per incident< 60 sec
total build time8 days
live production integrations3
python (ai-built)claude-apijira-cloudazure-app-insightspostgresql/neonprompt-engineering
SRE Agent system architecture
System architecture. JIRA detection, log aggregation, Claude diagnosis, decision gate, database

I documented the whole thing: a write-up on how a non-engineer ships a system like this with AI, the final presentation, and the full system design.

$ cat ~/oimedia --gtm

Go-to-market & product work for a B2B SaaS

GTM / Strategy Internship · OiMedia (SignifAI & ComplAI)

Over ~135 hours at OiMedia, a retail-tech SaaS company, I did the go-to-market work the marketing function actually runs on. I built an Ideal Customer Profile framework combining firmographic, operational, and psychographic segmentation; produced TAM market sizing; contributed to a Salesforce AppExchange listing; ran field research with independent retailers across Bengaluru; and authored a set of white papers on retail compliance and OOH media.

I also designed ComplAI, a mobile-first field-audit product, in Figma, mapping the full photo-capture, checklist, and auto-report workflow for on-site auditors.

icp-frameworktam-sizingmarket-researchpositioningfigma/uxwhite-paperssalesforce-appexchange
ComplAI mobile compliance flows in Figma
ComplAI, mobile-first audit flows in Figma
White papers authored for OiMedia
White papers authored on retail compliance & OOH media
$ stat ~/growth --audience

Content & audience growth

Built a real audience from zero, and got brands to pay for it.

I grew a gaming YouTube channel to ~10,000 subscribers and 851,000+ views as a teenager, learning audience retention, SEO, packaging, and consistency by doing it. The channel earned real revenue and attracted paying sponsors. I negotiated and integrated the brand deals myself, and my sponsored segments held retention at or above the channel average.

subscribers, grown from zero~10K
lifetime views851K+
watch-time hours43.1K
brand sponsorshipsdelivered, paid
YouTube channel analytics
Channel analytics: views, watch time, revenue
Audience retention graph
Audience retention across a sponsored video
Single video analytics in YouTube Studio
Per-video performance in YouTube Studio: 15.3K views and 1.1K watch-hours on a single upload
$ ls ~/work --shipped

Selected work

Design and web work shipped for real organizations.
National Digital Freight Exchange live site
web and webflow · for SemiCab × CII

National Digital Freight Exchange

Designed and built this live multi-page B2B site for a CII supply-chain initiative. Hero, data-led value proposition, whitepaper, and navigation, all in Webflow.

view live site
Youth Brigade donor pamphlet
collateral · print & social

Youth Brigade donor collateral

Redesigned the donor-facing pamphlet used to raise funds, plus a set of social posters. Information design built to persuade potential donors and investors.

Teaching financial literacy to students, ReapBenefit
Teaching financial literacy to students · ReapBenefit, Bengaluru
$ cat ~/blog --latest

Writing on AEO, brand voice & AI marketing

Latest articles on answer engine optimization, cold email, brand voice, and GTM.
read all 50 posts →
$ which tools

What I work with

marketing & gtm
  • content strategy
  • go-to-market
  • icp & segmentation
  • market research
  • positioning
content & creative
  • scriptwriting
  • video editing
  • on-camera
  • storyboarding
  • audience growth
ai & building
  • prompt engineering
  • ai-assisted dev
  • claude / claude code
  • automation
  • reading architecture
design & tools
  • figma
  • photoshop
  • webflow
  • premiere pro
  • notion
$ cat faq.md

Questions people ask

Who is Vishesh Kulshrestha?
Vishesh Kulshrestha is a Bengaluru-based marketer who builds. He pairs marketing and go-to-market strategy with AI-assisted building, and runs vishkul.com: a suite of free marketing tools, published AI-visibility research, and AI search (AEO) audits for founders and service businesses.
What is vishkul.com?
It is Vishesh Kulshrestha's portfolio and a set of free, no-signup marketing tools, alongside research on AI visibility (how ChatGPT, Perplexity and Google's AI read a website) and a paid AI search audit.
What does Vishesh do?
Marketing strategy and go-to-market, content and video, and AI-assisted building. Day to day that means AI search (AEO) audits, building lightweight lead-generation tools, and publishing verifiable research on how AI answer engines read business websites.
Are the tools really free?
Yes. Every tool on the site is free, needs no signup, and stores nothing. Most run entirely in your browser, so nothing you paste is uploaded anywhere.
How much is an AI visibility audit?
The AI Visibility Audit is $300 as a one-time founding-client rate, about Rs 25,000 for India-based businesses (it goes to $500 after the first five clients), for a package worth around $1,750. It comes with a find-it-or-it's-free guarantee: if it does not surface at least ten fixes you did not already know about, you pay nothing.
Does Vishesh build custom tools?
Yes. Lightweight, lead-generating tools start from $1,200 and are scoped per project, taken on alongside audits.
Where is he based, and how do I get in touch?
Bengaluru, India. Email [email protected] or message on WhatsApp. Send your website with a line on what you want to improve and he will point out the three highest-leverage things to fix.