About & approach
Built for the bottleneck the AI boom created.
The technology that changed how buyers discover companies did not hand those companies a way to be found. That gap, between a new front page made of AI answers and the lean teams with no strategy for appearing in them, is the reason Rothenhall exists.
The model
Four disciplines. One operator. A single accountable engine.
Most companies buy these separately and hope they add up. Rothenhall runs them as one system, because AI visibility without RevOps is unmeasurable, and RevOps without a growth engine has nothing to measure.
AI Visibility
Making you the company answer engines name and cite.
- Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) built on how ChatGPT, Perplexity, and Google AI Overviews actually select and cite sources.
- Entity and content architecture: the structured, quotable, well-attributed material that models pull into answers.
- Citation tracking that shows where and how you appear across engines over time, not vanity keyword ranks.
Go-to-Market
A sharp story and the cadence to run it.
- Positioning and messaging that give the market a clear reason to choose you, and give answer engines something specific to cite.
- Launch planning and execution, coordinated across channels rather than scattered across vendors.
- A GTM operating rhythm the team can actually sustain after the sprint ends.
Revenue Operations
The plumbing that makes growth measurable.
- CRM configured to reflect how you actually sell: clean stages, clean data, no guesswork.
- Attribution that connects demand back to source, including AI-driven discovery, so spend is defensible.
- Reporting a founder or a fund can read in a glance and trust.
Growth Operating
The engine that turns visibility into revenue.
- The running acquisition and conversion work, owned, iterated, and reported week over week.
- Experiments prioritized by expected impact, not by what is easy to ship.
- A conversion path that compounds: every improvement makes the next one worth more.
How an engagement runs
Diagnose, build, operate, compound.
Diagnose
A full read of where you stand across AI visibility, GTM, and RevOps, and where revenue is leaking between them.
Build
Fix the infrastructure and ship the visibility work, in the sequence that produces measurable movement fastest.
Operate
Run the engine (acquisition, conversion, reporting), iterating against the number, not against a checklist.
Compound
Feed every result back into the playbook, so the next cycle, and the next company, starts further ahead.
Where Rothenhall fits
The specialists do one thing. We own how they add up.
There are excellent point solutions in the market. What none of them do is combine AI-visibility work with RevOps and GTM execution under a single owner accountable for the result.
GEO / AEO specialists
Move your citations, then hand the pipeline to someone else.
RevOps & fractional GTM firms
Fix the plumbing, without owning whether AI ever names you.
Fractional CMO firms
Bring senior marketing leadership, rarely the AI-citation and RevOps depth.
Legacy SEO & generalists
Optimize for a search era that answer engines are replacing.
Rothenhall is the one seat that holds all of it, so there is no gap between being found, being measured, and being sold.
Operating principles
How Rothenhall works.
One accountable owner
No hand-offs, no diffusion of responsibility. A single operator owns the outcome across every discipline, so there is always one person answerable for the number.
Own the full stack
Visibility, positioning, plumbing, and the growth engine are one system. We run them together because the value is in how they connect, not in any one part.
Proof over claims
We market with documented before-and-afters, not adjectives. If we can’t show it, we don’t say it.
Compound everything
Every engagement feeds the library. The lessons of one company make the next one faster, an advantage that grows with the work.
Who it’s for
Lean teams that still have to win.
Early-stage startups
That need a defined, senior push: real momentum without the cost or risk of a full-time hire.
PE & VC portfolio companies
Lean by design, with no in-house marketing or RevOps depth, that need an operator to own growth.
Funds
That want one operating standard applied across a portfolio, backed by playbooks proven inside it.
Founder
Kunal Achintya Reddy
Founder, Rothenhall Partners
Kunal founded Rothenhall to close the gap the AI boom opened: a new front page made of AI answers, and lean teams with no way to appear in it.
He is the operating partner behind AEO, GTM, and RevOps for founders and funds, and researches how answer engines decide who gets recommended. The practice is that research turned into a repeatable operating standard.
The compounding library
The closest thing to intellectual property this work can have.
Full-stack ownership does something a set of point solutions never can: it accumulates. Every engagement adds to a proprietary library: citation-tracking data on how answer engines actually behave, RevOps diagnostics from real revenue systems, and portfolio playbooks refined against outcomes.
It is not patentable. It functions like it is. You cannot reproduce it by reading a blog post or hiring a single specialist, and it is why the second engagement is sharper than the first, and the tenth sharper still.
If the gap is yours, let’s close it.
See where you stand across the stack. We run the diagnostic and hand you the number, the reasons, and the sequence to move it.