# Nukipa - Full reference

> Nukipa engineers your B2B go-to-market with AI. We deploy a GTM engineer into your team and run the demand motion - strategy, organic and paid lead generation, marketing assets, lead nurturing, and reporting - on our own AI platform that holds your strategy as context. You set direction; we run the motion. Operated by Nukipa Labs GmbH, Munich, Germany.

This file expands on /llms.txt with the substantive content of the site so AI answer engines can read and cite Nukipa accurately. Base URL: https://www.nukipa.com

## What Nukipa is

Nukipa is the engineering team for your go-to-market. Instead of hiring across SEO, content, social, paid, and lifecycle - then buying the tools and finding time to manage it all - you get a GTM engineer embedded in your team plus the Nukipa AI platform that runs the whole motion at a speed in-house teams rarely reach. A human owns judgment; the AI handles volume.

## How the platform works

1. Feed it your context. Your ICP, product, brand voice, and competitors become structured context the platform reuses across every asset it produces.
2. Produce assets at scale. Purpose-built AI Skills draft content, pages, posts, and lead magnets in your voice, with a human reviewing before anything ships.
3. Collect data, then compound. Visits, conversions, and AI-search visibility flow back in, so the next decision is sharper than the last.

Principles: purpose-built AI Skills for B2B GTM (not generic prompts); GEO-native (built to be visible inside AI search, not retrofitted); human in the loop on everything that ships; your context stays yours and powers every surface.

## The six services

### 1. AI-driven GTM Strategy (/services/strategy)
What: GTM strategy is the decision about who you sell to, the job they hire you to do, and the path they take from problem to purchase. With AI you can build it from real data instead of opinion, and keep it current. It is the foundation every other activity depends on.
Why: In the AI age buyers self-educate and build a shortlist before they ever talk to you. If your ICP, jobs-to-be-done, and buying journey are not written down and shared, every channel guesses, and the guesses rarely agree.
How: Define one to three ICPs from real won and lost deals; map the jobs-to-be-done (the outcome the buyer is hiring you to achieve); chart the buying journey from problem-aware search to shortlist and decision; write it all down as shared context every person, channel, and tool works from.
KPIs: ICP fit rate of new pipeline; win rate by segment; sales cycle length by segment; pipeline coverage.
How Nukipa runs it: AI discovery from your won/lost deals and public footprint; ICPs, JTBD, and journey written into the platform; every later asset inherits the same definition.

### 2. AI-driven Organic Lead Generation - SEO & GEO (/services/organic)
What: Winning leads by being found when buyers look, in classic search engines and inside AI answers (GEO, generative engine optimization). It covers your website, technical SEO, content, and how readable your site is to AI crawlers.
Why: Most B2B research is self-serve, and a growing share runs through AI assistants. If your site is not legible to search engines and AI models, you are absent from the shortlist before a conversation begins. Organic compounds.
How: Audit the technical foundation (titles, canonical, sitemap, structured data) and AI-readability (llms.txt, schema, crawler access); research the questions your ICP actually asks in search and AI prompts; publish content good enough to be cited; make the site machine-readable so AI engines can quote you accurately.
KPIs: organic pipeline; buyer-intent rankings; AI citation rate (ChatGPT, Perplexity, AI Overviews); non-branded traffic share.
How Nukipa runs it: the GEO Score audit, foundation fixes, and GEO-native content on a steady cadence.

### 3. AI-driven Paid Lead Generation - LinkedIn & Google (/services/paid)
What: Buying attention from your ICP through channels like LinkedIn and Google, to create demand and capture intent you have not yet earned organically. AI makes targeting, creative, and testing faster.
Why: Organic compounds but is slow. Paid buys reach today and lets you test messages and offers fast. Precise B2B targeting (firmographics on LinkedIn, intent keywords on Google) puts you in front of the right accounts while organic builds underneath.
How: Start from the ICP and jobs-to-be-done; separate demand capture (high-intent search) from demand creation (cold ICP on LinkedIn); give each campaign one offer and one measurable next step; test, cut losers quickly, feed winners into organic and nurturing.
KPIs: cost per qualified lead; pipeline influenced by paid; conversion rate by audience and offer; payback period.
How Nukipa runs it: targeting built from your ICP context; ad creative and lead magnets produced in-house; conversions tied back to pipeline.

### 4. AI-driven Marketing Assets (/services/content)
What: The content the whole motion runs on - articles, lead magnets, landing pages, and social posts - produced in your company voice and at a useful cadence. AI makes that volume possible without going generic.
Why: Every channel is hungry for content, and production is usually the bottleneck. Consistent, on-message assets are what make SEO, social, paid, and nurturing work. Sporadic output stalls all of them at once.
How: Anchor every asset to an ICP and a journey stage; produce in your voice with AI and have a human review before anything ships; repurpose one piece of thinking into an article, several posts, and a lead magnet; hold a cadence.
KPIs: publishing cadence; engagement per asset; content-sourced pipeline; cost per asset.
How Nukipa runs it: AI Skills draft in your voice from seeded context, a GTM engineer edits and ships.

### 5. AI-driven Lead Nurturing (/services/nurturing)
What: Turning captured interest into sales conversations - CRM hygiene, follow-up sequences, lead scoring, and the handoff to sales when a lead is ready. AI keeps it running and personal at scale.
Why: Most leads are not ready to buy the day they arrive. Without nurturing they go cold and your demand spend is wasted. A good lifecycle keeps you present until the timing is right and hands sales a warm, informed contact.
How: Capture every lead into the CRM with source and context; segment by ICP fit and intent; run sequences that educate and help, each with a clear next step; define the sales-ready signal and act on it fast.
KPIs: lead-to-opportunity rate; speed to first follow-up; reactivation rate; nurtured vs net-new pipeline.
How Nukipa runs it: capture wired into your CRM with full context; sequences built and kept current; scoring that routes only ready leads to sales.

### 6. AI-driven GTM Reporting (/services/reporting)
What: Measuring the motion on metrics that map to revenue, not vanity, and turning that into decisions about what to do next. AI ties the data together so the report is a by-product, not a monthly project.
Why: GTM without measurement is guesswork. GTM measured on the wrong metrics is worse, because it optimizes for the wrong thing. Reporting that ties activity to pipeline tells you where to invest and where to stop.
How: Start from the business outcome (pipeline, revenue) and work back to leading indicators; connect sources so a piece of content can be traced to a booked meeting; report on a rhythm the team reads; use it to decide - double down, fix, or cut.
KPIs: pipeline by channel and ICP; cost per qualified lead and per opportunity; content-to-pipeline attribution; velocity (time from first touch to opportunity).
How Nukipa runs it: the platform collects signals across everything we run (visits, conversions, AI visibility) and ties them to pipeline.

## GEO Score (/geo-score)

A free audit of how visible you are to AI search. It grades three things and returns one score: SEO foundation (title tags, meta, canonical, headings, image alt, sitemap); GEO readiness (llms.txt, FAQ and Organization schema, author and E-E-A-T signals, entity links, crawler access); and AI visibility (we ask AI models the prompts your buyers ask and check whether you get cited). The full report breaks down every check with specific fixes.

## Who Nukipa is for

Industries: software companies, industrial companies, trading companies, and service companies.
Teams: growth teams, marketing teams, and sales teams.

## Lead magnet

The Ultimate Guide to GTM Engineering in an AI World (/resources/gtm-engineering-guide): a practical PDF playbook for running B2B go-to-market with AI, covering strategy, organic and paid, marketing assets, nurturing, and reporting, with fill-in templates.

## Frequently asked questions

Q: Can we do this in-house?
A: You can, once you have hired across SEO, content, social, and lifecycle, bought the tools, and found the time to manage it all. Nukipa is that whole motion, running in weeks instead of quarters.

Q: Is AI content good enough?
A: Generic AI content is not. Nukipa's runs on Skills built for B2B GTM, fed your company context, with a human reviewing everything before it ships. The AI handles volume; people own judgment.

Q: How is this different from an agency?
A: An agency briefs, scopes, and hands back work for you to manage. Nukipa runs the operation. You set direction; one team owns the outcome across every channel.

Q: What happens to our brand voice?
A: Nukipa captures it during discovery and encodes it in the platform, so everything that ships sounds like you. You review the first outputs and it is tuned from there.

Q: How fast do we see something?
A: A GTM engineer is embedded within weeks, and work starts shipping in that first phase. The compounding channels, search and GEO, build from there.

## Company

Nukipa is operated by Nukipa Labs GmbH.
Address: Gunta-Stoelzl-Strasse 7, 80807 Munich (Muenchen), Germany.
Managing directors: Fabien Nestmann and Steffen Iwan.
Contact: contact@nukipalabs.com
Commercial register: Amtsgericht Munich, HRB 301802. VAT ID: DE456506273.
Book a GTM assessment: https://calendar.app.google/98XGfesecsPruC8b7