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Give AI the brand context your marketing team never documented

We help tech companies turn scattered knowledge into a practical context system for AI-assisted marketing. Keep your brand consistent as you scale.

AI can only work with the context you give it

Your team is using AI to create more across channels. But if your company knowledge is scattered, it becomes harder to produce quality outputs and keep your brand consistent.

Before

Company and product knowledge is scattered across people and docs.

With Groundwork

Core knowledge is documented in one structured, usable system.

Before

Messaging shifts depending on who prompts and does the work.

With Groundwork

Teams and AI tools work from the same positioning and messaging standards.

Before

AI-assisted content sounds like slop.

With Groundwork

Content starts from richer inputs — output becomes specific and on-brand.

Before

Product nuance gets lost or oversimplified.

With Groundwork

AI and your team can explain the product with more clarity and precision.

How ready is your brand context?

You probably have pieces of brand context here and there. The question is whether that context is documented, current, and usable enough for your team and your AI workflows to rely on it.

Positioning and messaging
Documented?
Usable today?
Voice, tone, and style
Documented?
Usable today?
Customer research
Documented?
Usable today?
Product information
Documented?
Usable today?
Competitive intelligence
Documented?
Usable today?
High-performing content
Documented?
Usable today?
Thought leadership and POVs
Documented?
Usable today?
Social proof
Documented?
Usable today?
Internal wikis and docs
Documented?
Usable today?
Undocumented knowledge
Documented?
Usable today?

What goes into your context kit

We work from ten areas of company knowledge — mining what is already written down and interviewing for what is not, then compressing it into your kit:

Positioning and messaging

Positioning statements, value propositions, messaging frameworks, and category narratives. A shared answer to what the company does, whom it serves, and what makes it different.

Voice, tone, and style guides

Voice and tone guidelines, writing style guides, and editorial standards your team and AI tools can actually follow in real content work.

Customer research

ICPs, buyer personas, customer interviews, and jobs-to-be-done. Helps marketing reflect how buyers actually evaluate and decide.

Product information

Product specs, feature docs, release notes, pricing pages, comparison sheets. Enough depth to explain complex offers accurately instead of flattening them.

Competitive intelligence

Competitor battlecards, market analyses, positioning matrices. Keeps your team clear on where the brand fits and which differences are worth emphasizing.

High-performing content samples

Your best blog posts, case studies, landing pages, and campaigns. Shows what strong, on-brand work already looks like in practice.

Thought leadership and POVs

Founder perspectives, company POVs, conference talks, webinar decks. Preserves the ideas that make your brand worth paying attention to.

Social proof

Case studies, testimonials, G2 reviews, and ROI data. Gives your marketing stronger evidence behind the claims it makes.

Internal wikis and docs

Notion pages, Confluence spaces, playbooks, onboarding materials, SOPs. Pulls scattered company knowledge into a context layer your team can use.

Undocumented knowledge

Unwritten brand rules, founder preferences, and norms that live in people's heads. The context that usually shapes the work most and is easiest to lose.

Want to see what you actually get?

See the full scope and price

Delivered as a real working system

Six documents, delivered as polished files for your team and markdown for Claude, ChatGPT, Gemini, or a custom GPT.

Voice & Tone Guidelines — Brand Context Kit · Meridian
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Voice, Tone & Style

Concrete writing guidance your team and AI tools can follow in real content work — not broad adjectives, but specific rules with examples.

Voice character

Sounds like a sharp, experienced practitioner — someone who has done this work, knows what "at-risk" feels like before a QBR, and has strong opinions about what actually works. Not academic. Not sales-y.

Voice attributes

Direct

Say what you mean without hedging or padding. Precision over politeness.

Use
"Give your CSM a reason to call that account today."
Avoid
"Help your team leverage engagement synergies."
Specific

Use numbers, scenarios, and real customer language. Name the thing.

Use
"No product logins in 22 days and two open support tickets."
Avoid
"Accounts showing signs of disengagement."
Confident

We have a point of view and we share it. Not the loudest — the most prepared.

Use
"QBRs are a workaround for not having real-time account data."
Avoid
"Some teams find that quarterly reviews have limitations."
Practitioner-first

We write for people already in the work — not buyers who need convincing.

Use
"You already know which accounts feel at risk. The problem is knowing which actually are."
Avoid
"Customer success is becoming increasingly important for SaaS companies."
Audience Profiles
Marketing Lead
Primary buyer
VP / Director · 5–12 person team
AI output sounds generic — no brand voice, no product specifics.
Content Manager
Primary user
Senior IC · 2–5 person team
Constant back-and-forth to clarify context before every piece.
Messaging Framework
Core message
"Your AI tools are only as good as the context you give them."
Value prop #1
Brand consistency at scale — the same voice across every channel.
Value prop #2
Faster production — less time correcting AI, more time shipping.
Brand Positioning
Category
Brand context infrastructure for AI-assisted marketing
Target
B2B tech companies using AI tools for content
Problem
AI outputs are generic because brand context was never documented
Differentiator
We build the context system — not the content

Apply it across your AI-assisted marketing and sales workflows

Content creation

AI gets the background it needs before writing, so the output starts closer to your actual positioning and editorial standards — not generic slop.

articles · landing pages · posts · newsletters

Campaign planning

Explore campaign angles, audience-specific messaging, and channel variations without drifting away from your brand strategy.

angles · messaging · channel variations

Content repurposing

Turn webinars, interviews, sales calls, and long-form assets into channel-specific content without flattening the original nuance.

webinars · interviews · long-form assets

Sales enablement

Create better follow-up emails, one-pagers, objection-handling content, and battlecards tied to real customer concerns.

emails · one-pagers · battlecards · scripts

Thought leadership

Capture the company's real point of view so AI can support posts and articles without making them sound generic.

LinkedIn · articles · opinion pieces

Team onboarding

Help new team members and contractors understand your company faster with a clear working foundation, not scattered links.

onboarding · handoff · working docs

How we build your brand context system

A structured 2–3 week process from intake to handoff. You get a working kit your team can use from day one.

  1. Intake & review

    Days 1–2

    You fill a short intake form. We review your existing brand documentation to understand what context already exists, where it sits, and what is missing. Most reviews reveal more gaps than teams expect.

    Gap map + interview guide
  2. Interviews

    Days 3–5

    Two or three 60-minute interviews with the people who hold the missing context — founders, PMs, sales, customer success. The goal is to surface what has never been written down.

    Recorded insights + raw material
  3. Build

    Days 6–10

    We combine your existing materials with insights from the interviews to write the six documents: positioning, voice, buyer context, product brief, AI setup, and workflow guidance.

    First drafts of the full kit
  4. Review

    Days 11–14

    Two rounds of review with your team. We adjust wording, sharpen the examples, and make sure every document reflects how you actually talk about your product.

    Revised, approved documents
  5. Handoff

    Day 15

    You get polished docs for the team plus markdown files ready to drop into Claude, ChatGPT, Gemini, or a custom GPT — with the prompt library and review checklist set up.

    Working kit + prompt library

Pricing

One fixed-scope engagement, one price. Everything your team and your AI tools need to produce consistent, specific, on-brand output — no phases, no open-ended retainer.

Brand Context Kit

$5,0002–3 weeks

The context your AI workflows need to produce more consistent, specific, on-brand output, delivered in one fixed-scope engagement.

Build your brand context kit

Every engagement starts with a short call — no commitment.

What is included
Positioning and messaging brief

Positioning statement, category framing, value propositions, messaging pillars, and differentiation angles.

Voice and editorial standards

Voice attributes with examples and anti-examples, tone by channel, vocabulary, banned phrases, and the writing rules your team never wrote down.

Buyer context profile

Goals, pains, objections, buying triggers, and the language buyers actually use.

Product brief

A clear, accurate description of your primary offer that your team can use in any format or channel without flattening its nuance.

AI setup

Prompt-ready context blocks, a starter prompt library, and a content review checklist.

Workflow and maintenance guidance

How to use the kit in your day-to-day AI workflows, plus what to update, when, and how to keep your context current.

How it is delivered

Polished docs for your team, plus markdown files ready for Claude, ChatGPT, Gemini, or a custom GPT.

What we need from you

A short intake form, two or three 60-minute interviews, and two rounds of review.

More than one product or audience? Let us scope it together — additional products are quoted at a reduced rate.

Built for tech companies that want better AI output instead of slop

This service is a fit if your team is running into any of these situations:

Who's behind Groundwork

Hey, we are the founders of YEM, a brand strategy and content agency built exclusively for tech companies. Many of our clients kept hitting the same wall. They were trying to scale marketing before they had the brand context to support it. Groundwork is here to close that gap.

Tech positioning
& content expertise
60+ tech
companies served
7+ years
in B2B tech
Vitali
Vitali
Co-founder & CEO · YEM

Growth strategist with 10+ years helping tech companies clarify their positioning and go-to-market story. At Groundwork, he leads discovery: surfacing the commercial logic, customer insight, and internal knowledge that rarely make it into formal brand documents.

LinkedIn
Mikita
Mikita
Co-founder & Chief Editor · YEM

Content strategist and editor with 10+ years in B2B tech. At Groundwork, he turns product nuance, SME knowledge, customer language, and unwritten editorial preferences into clear context that marketing teams and AI tools can actually use.

LinkedIn
What tech leaders say about our work

"We consider them as part of our team. When we start to think about new marketing ideas, we will definitely go to Your Extra Marketer to discuss how to do it better and how they can help us."

AG
Aleksei Galesnik
CMO · Rubyroid Labs
Talk to us about your brand context

Common questions

Before you ask AI to create more content, give it better context

AI will not magically understand your brand, customers, product, positioning, or editorial standards. You need to give it the context your best marketers and writers already use — and make that context reusable across your team.

We'll help you document and structure the brand and marketing knowledge your AI workflows need to produce better content.

We usually respond within 1 business day
No spam. We'll only use this to respond.