AI-powered GTM systems for funded B2B SaaS teams selling globally.
Agencies rent you their hands. This is a system you keep.
You know the pattern. A blog that publishes when someone finds time. Ads a freelancer runs on the side. A LinkedIn streak that dies the week fundraising heats up. Plenty of marketing, and none of it adds up, because nothing underneath connects it.
Predictable pipeline comes from five components running as one machine: positioning, content, demand, sales alignment, and a loop that feeds every lesson back in. Installed builds that machine into your company. AI workflows tuned to your brand, gated for quality, documented, and handed over. When the engagement ends, the system stays.
AI is the multiplier. Architecture is the moat. The wiring between them is what you buy.
The full system, as it ships. Every workflow is brand-tuned to your company, quality-gated, documented, and handed over. Start with one module and a pilot, or install the machine end to end.
One idea becomes a blog, a LinkedIn set, a newsletter, an X thread, and a sales snippet.
Get cited by ChatGPT, Perplexity, and Google AI Overviews, with a tracked share-of-voice log.
Deliverability done right, then newsletters, nurture, and cold outbound that lands in inboxes.
Your sales team walks into every deal with the assets and answers already built.
A full ad-ops pipeline for Google and Meta, from strategy to creative to weekly optimization.
A monthly report your board can read, and a competitive radar that never goes stale.
The Pilot installs one workflow from one module. The Sprint installs the foundation underneath them. The full Install ships four workflows across modules. The Fractional engagement runs the whole system for you.
Primary reader of this page: a founder or first marketing hire at a funded B2B SaaS company, likely building from India and selling globally, who has tried two agencies and one freelancer in the last 18 months, and is currently using ChatGPT to write briefs but has nobody operating the system end to end.
Every section you have read so far was written for that person.
Every conversation runs against the same notes structure, the same objection bank, and the same after-call summary template. The output of one call updates the artifacts the next visitor will see. The site learns.
After every cycle of real conversations, the artifacts on this site get updated with what we learned. The positioning sharpens. The ICP gets more specific. New objections enter the playbook. Each artifact carries the date it last changed. Check them.
Installed is new. The architecture behind it is not. These three systems were built and run in-house over fourteen years at companies like Techademy: the same architecture, before it had this name. The first client installs are in progress; their artifacts will be published here as they ship.
Rebuilt a broad lead-gen motion into a targeted ABM engine using intent data, reducing wasted pipeline and increasing sales-accepted opportunities by 72%.
Architected the go-to-market strategy for a new enterprise platform launch: from positioning and ICP through to pipeline. Generated $13M+ in influenced revenue across APAC and US.
Designed an AI-augmented content workflow that tripled publishing output without adding headcount, while improving SEO performance and content quality scores.
Same system, different depths of engagement. Start small, move deeper when the system earns the next step.
Where ChatGPT, Perplexity, and Google AI Overviews mention you, where they recommend competitors instead, and the ranked fixes. Scored report, ordered by email, no call required.
A recorded teardown of your positioning and homepage, plus a rewritten hero. Yours to keep, no call required.
One AI workflow, ads, blog, LinkedIn, or sales enablement, live in your stack, your team trained, success metric agreed up front.
Start a pilot›30 days to a working go-to-market system.
Instrument your marketing team with AI. Ship more, spend less.
Senior marketing leadership, without the senior marketing hire.
Not sure where to start? Book a free 20-minute intro call ›
Installed is new, and I will not pretend otherwise. The receipts above come from fourteen years of building these systems in-house. The client logos come next, and that is exactly what these two seats are for.
The deal: the 3-week AI Workflow Pilot, list price ₹1.5L, for ₹25k. Refundable at handoff if you are not satisfied. In exchange, four things:
I'm Karthik. I spent fourteen years building marketing systems inside companies like Techademy and Google. Different industries, different stages, the same lesson every time: the best teams were not better at campaigns. They had a system underneath the work.
Every workflow Installed ships is one I ran in-house first, with revenue on the line. The numbers higher up this page are those years. The founding cohort is where they become client case studies.
You can, and the instinct is right. What you would be building over six months of founder nights is what gets installed here in three weeks: brand-tuned profiles, quality gates, compliance rules, and reporting. You are not buying AI access. You are buying the operating system and fourteen years of judgment encoded into it.
That is the strongest reason to buy an install instead of an agency. Everything is documented and lives in your accounts, your repos, your tools. If I vanish tomorrow, your system keeps running. If your agency vanishes, your marketing stops the same day.
All of it. The workflows, the prompts, the brand profile, the SOPs, the trackers, the reporting. There is nothing to rent and no retainer trap. The optional care retainer exists for teams that want ongoing tuning, not because the system needs me to run.
Your team, and the handoff includes training until they can. A founder or one marketing generalist is enough to operate it. If you want it run for you, that is what the Fractional engagement is.
Because hidden pricing is a sales tactic, and this whole practice is built to need fewer sales calls, not more. If the price does not fit your budget, you find out at the URL instead of on a discovery call neither of us needed.
No AI engine cites installed.marketing for any of the 36 questions we track. We put that number on a public page instead of hiding it. Here is why.
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