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RZLTNomiOS

AI-native growth agency

NomiOS: The GTM and ABM Engine for the AI Era

NomiOS is an ABM engine for B2B companies. It researches a target account, finds where that company is losing pipeline, and builds a personalised deck for them and their ICP, so outreach lands and deals close faster. Built and run by RZLT.

What it is

An ABM engine, not a deck template

Most outbound sends the same story to every account. NomiOS starts from the prospect instead: one company at a time, it finds where their go-to-market is leaking pipeline and writes a deck that argues about their business.

See how NomiOS works →
  1. Research the account

    What they sell, how they are positioned, who is in the buying committee, what they are hiring for, how visible they are in search and AI answers.

  2. Reason about the gaps

    Where pipeline is leaking: demand they are not capturing, buyers they are not reaching, a story that does not match what they sell. Evidence or it is dropped.

  3. Build the deck

    A short, personalised deck on its own private link: the gaps, the number we would move, how we would help, and relevant proof.

Explore

Built for account-based teams

How it works →

Questions

Frequently asked

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What is NomiOS?
NomiOS is an ABM engine for B2B companies. It researches a target account, works out where that company is losing pipeline, and builds a personalised pitch deck for it. RZLT uses it to run account-based outreach for clients.
Who is it for?
B2B teams selling into a defined list of accounts who need outreach that reflects each buyer's situation, instead of one generic deck sent to everyone.
How is it different from an AI slide generator?
Slide tools start from your content. NomiOS starts from the prospect: it researches the account first and argues from what it found, so the deck is about their business rather than yours.
How do prospects receive a deck?
As a private, password-protected link rather than a file, so it opens on any device and can be forwarded inside their company.

Field notes

Explore the world of ABM & GTM

Notes from the team building NomiOS.

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ABM Strategy

ABM for B2B SaaS: the playbook that actually builds pipeline

Most ABM programs fail on account selection, not creative. How to build a target list you can defend line by line.

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GTM Operations

GTM engineering: the four layers of a go-to-market engine

GTM engineering is a system, not a job title. Four layers, what breaks at each one, and what you can build before you hire anyone.

12 min read
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Signals & Data

B2B buying signals: which ones actually predict a deal

Most intent data is noise. Twelve B2B buying signals ranked by how reliably they predict an actual deal.

11 min read
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ABM Execution

1:1 ABM personalization that scales past 20 accounts

Every ABM team hits a ceiling at around twenty accounts. It was never a strategy problem. It was arithmetic, and the arithmetic changed.

11 min read
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AI Search

Answer engine optimization for B2B SaaS: how to get cited by LLMs

We took one client from 87 LLM citations to over 850. What moved the number, what did not, and how to measure your own.

12 min read
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How to track LLM citations: the method behind an 87 to 850 result

When we say we took a client from 87 LLM citations to over 850, the obvious question is how we counted.

8 min read
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Signals & Data

Intent data providers compared, by someone who does not sell intent data

Almost every comparison of intent data providers is published by an intent data provider. That is not a conspiracy, it is just who has the commercial incentive to write one. It does mean the genre has a predictable shape: four vendors are described fairly, and the fifth, which happens to be the publisher, solves the problems the other four have.

9 min read
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Sales Assets

The B2B pitch deck that actually gets read

Most B2B pitch decks are a company tour with a price at the end. Who we are, how many offices, the logo wall, the product tour, the pricing table, thank you.

9 min read
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ABM Strategy

ABM metrics: what to report, and what to stop reporting

Most ABM programs are killed by their own reporting.

8 min read
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GTM Operations

Waterfall enrichment: why one data provider is never enough

Here is a number most teams never measure: what percentage of your enriched records come back complete?

7 min read
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ABM Execution

Personalized microsites for ABM: when they work and when a deck wins

A personalized microsite is a web page built for one account. Their name, their situation, content selected for their problem, at a private URL.

8 min read
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ABM Strategy

Ideal customer profile for B2B SaaS: build a scored model, not a persona doc

Most ICP documents are useless in a specific and predictable way. They describe a company that would obviously be a good customer, in language broad enough that almost any company could be argued into it.

8 min read
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ABM Strategy

The B2B buying committee: map veto power, not job titles

Enterprise deals rarely die in front of you. They die in a meeting you were not in, killed by someone you never spoke to, for a reason nobody ever tells you.

8 min read
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ABM Strategy

ABM for startups: concentration is an advantage, not a constraint

Almost everything written about ABM assumes an enterprise team. A platform, a budget, a data stack, a marketing org with specialists.

7 min read
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GTM Operations

The GTM engineering stack: one tool per layer, and why the vendor matters least

Most GTM stacks are not stacks. They are twelve tools acquired over three years, four of which overlap, two of which nobody has logged into since the person who bought them left.

8 min read
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Signals & Data

Website visitor identification: what it actually delivers

Website visitor identification tells you which companies visited your site without filling in a form.

8 min read
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Signals & Data

Signal-based lead scoring: a model you can actually copy

Most lead scoring models have the same defect. Points only ever go up.

8 min read
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ABM Execution

B2B account research: what to look for, and in what order

Most account research produces a document nobody uses.

8 min read
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AI Search

GEO vs SEO: what actually differs, and what carries over

Three terms describe one discipline, and the naming confusion is costing teams real money.

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AI Search

How to get cited by ChatGPT: the retrieval mechanics

The question is usually asked as a content question. It is a retrieval question, and the difference determines whether anything you do works.

9 min read
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AI Search

Google AI Overviews for B2B SaaS: why this is a different target

Most AI search advice treats AI Overviews and chat assistants as one problem. They are not, and conflating them wastes effort in both directions.

8 min read
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GTM Operations

AI SDR: what it replaces well, and what it replaces badly

The AI SDR category is sold on a single promise: the output of a sales development team without the sales development team.

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ABM Execution

Cold email personalization that is not just a merge field

Personalization stopped being a differentiator the moment every tool could do it.

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ABM Strategy

ABM vs demand generation: the framing is the problem

The comparison is posed constantly and it is a false choice, largely manufactured by vendors whose product sits on one side of it.

7 min read
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GTM Operations

Hiring a GTM engineer: when to do it, and what to test for

The role is genuinely useful and it is being hired too early by a lot of companies.

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