B2B SaaS companies burning $50k+/month on paid acquisition eventually hit a wall — the moment the budget stops, the pipeline dies. I architect organic systems that compound. Traffic that owns you a seat at the table, not rents one.
The conversation looks different depending on where you sit. Pick your seat.
You're approaching Series B and your paid CAC is compressing margins. I'll show you how to shift that spend to a compounding organic asset — one that VCs value at a higher multiple come exit.
Top-of-funnel vanity metrics look great in dashboards but collapse under revenue attribution. I architect organic programs that align directly to your pipeline targets — SQLs, not sessions.
Zero ramp-up time. I've led distributed teams across NA, EMEA, and APAC. I speak the language of your CFO, CMO, and engineering team — not just Google Analytics.
These aren't averages pulled from industry reports. They're outcomes from real B2B SaaS companies with real sales cycles, competitive markets, and skeptical investors watching every dollar.
Built an international content architecture that penetrated 3 distinct regional markets simultaneously — displacing top 3 competitor positions for high-intent, bottom-of-funnel terms within 18 months.
Rebuilt the entire content-to-conversion architecture, shifting strategy from traffic volume to intent scoring. MQL quality jumped, sales cycle shortened, and paid spend became optional — not existential.
Not a templated report. A real Loom video walking through exactly where your organic pipeline is leaking, what your competitors are doing that you aren't, and three moves you can make this week. No pitch. Just value.
Fill this in. I'll do the rest.
This isn't a scare tactic — it's math. Plug in your current paid spend and see exactly what you're trading away versus what compounding organic investment looks like over 24 months. The gap usually shocks people.
Your buyers are asking ChatGPT which monitoring tool to evaluate. They're asking Perplexity which security vendor to shortlist. If your brand isn't cited — your competitor's is. This is Generative Engine Optimization, and it changes everything.
Brand citation frequency across major AI search engines — post GEO implementation vs. baseline.
Restructuring content to match how LLMs extract and cite information. Schema, entity disambiguation, and citation-worthy data density — all engineered into the content layer.
Establishing your brand as a recognized knowledge entity across structured data, authoritative co-citations, and Wikipedia-adjacent coverage — so AI models learn to trust your source.
Custom Python + Gemini workflows that audit, generate, and optimize content at velocity — without sacrificing E-E-A-T signals. Technical depth, automated. Human judgment, preserved.
Custom dashboards tracking brand citation frequency across AI surfaces. Not a tool you buy — a system I build and hand off to your team with full SOPs.
Most SEO hires spend the first 90 days "auditing" and "getting up to speed." That's expensive theater. Here's the concrete execution framework I run from day one — whether as a full-time Head of SEO or a fractional advisory engagement.
View Full 30/60/90 Execution Blueprint →Full technical audit, competitor gap analysis, content-to-revenue attribution mapping, quick-win identification, and a prioritized backlog ready for sprint planning. No fluffy 80-page decks — an executable roadmap.
Technical fixes shipped, programmatic content engine running, GEO optimizations live, internal linking architecture rebuilt, and first measurable organic pipeline signals appearing in your CRM.
A full attribution model connecting organic sessions → MQLs → SQLs → closed deals, with monthly compounding growth visible in dashboards your board can read. Not vanity metrics — board-ready revenue signals.
B2B SaaS isn't one market — it's twelve different buyer psychologies, compliance environments, and sales motions. I've built specific playbooks for each.
Before the first call, know the fit. Select the requirements on your job description — get a live match score based on real experience and proven execution. This replaces the 45-minute screening call with a 45-second answer.
Select all that apply from your job description:
"Rakesh didn't just improve our rankings — he rebuilt how we think about the entire top of our funnel. Six months in, organic was generating more qualified pipeline than our entire paid program. Our board noticed."
"I've worked with agencies that produce beautiful reports and deliver nothing. Rakesh is the opposite — minimal presentation, maximum execution. The MQL quality shift was visible in our CRM within 60 days."
"What impressed me most was his financial fluency. Rakesh speaks the language of a CFO, not just a marketer. He built the ROI case for organic investment that got immediate exec buy-in — something I'd struggled to do for months."
The exact financial model that shifted a Series B company from a $500 paid CAC to a $50 organic CAC — and what that did to their Series C valuation conversation.
GEO · AI SearchIf your brand isn't cited in AI Overviews and ChatGPT responses, your competitor's is. Here's the technical playbook to change that — with real implementation depth.
Executive PlaybookVCs calculate a higher multiple for recurring organic traffic than paid — because it's owned, not rented. Here's the math, and how to build the asset before your next round.
Trust & AuthoritySecurity companies sell zero trust products but operate zero-trust marketing teams — siloed, secretive, and invisible to the buyers searching for them.
Executive PlaybookThe financial and operational argument that kills the agency retainer model for Series A-B companies. Real numbers, real trade-offs, real outcomes.
System ArchitectureThe actual scripts I use to automate technical audits, content gap analysis, and SERP monitoring. Shared openly — because the strategy is what you can't copy.
The companies that move on organic growth in the next 12 months will own their categories by the time AI search fully reshapes discovery. The ones that wait will be paying 3× more for the same keywords — or bidding for placements that don't exist yet.