Save the before and after.
When a competitor changes a pricing page, the workflow keeps both versions and sends the cited difference to the pricing owner.
Product marketing with the market built into the feedback loop.
Twegs combines expert marketing judgment with AI workflows that capture customer, competitor and product signals, keep positioning grounded in what the market is telling you, and turn that intelligence into websites, launches and stories buyers understand.
Led by Sophie Jonsson
4 years in Google Cloud AI GTM
Gemini, Workspace AI and Agentspace
View LinkedIn profileMore output is rarely the problem. I build systems that notice change, keep the source attached and show who made the decision.
Why Twegs
Good judgment needs current information.
Make the decision reusable.
A position or launch choice becomes a maintained record, so the next page and sales brief do not reopen the same argument.
Design the failed run.
If a source disappears, a draft is rejected or a handoff breaks, the owner gets a recovery path instead of a green status box.
How the work connects
Connect the source to what changes next.
A market signal matters only when it changes a choice, a page, a launch or a sales conversation. The response becomes evidence for the next revision.
01
Evidence
Keep the customer, competitor, product or performance source that answers the question.
02
Choice
Compare the evidence, state the trade-off and name the person who owns the call.
03
Published work
Carry the approved choice into the position, website, launch, sales guidance or customer story.
04
Response
Record results, objections and market feedback against the choice that produced them.
Services
What do you need to fix?
I usually find the problem in one of two places: buyers cannot make sense of the product, or the team cannot keep the work current. Start with the failure you can already see.
What buyers experience
Help buyers understand why the product matters.
Set the position, explain it on the website and back it with expert knowledge and customer proof.
- Positioning
Positioning & Product Value
Three teams, three explanations of the same product.
Give buyers a clear reason to choose the product, backed by claims the company can prove.
- Website
Buyer- and AI-Ready Websites
Buyers reach the site and still cannot tell whether the product fits.
Build a B2B website where buyers can understand the offer, check the proof and decide what to do next.
- Proof
Thought Leadership & Customer Proof
The expertise exists, but the market cannot see it.
Publish ideas and customer stories that sound like the people behind them and stand up to scrutiny.
How the team works
Keep product marketing close to what is changing.
Watch the market, organise launches and use AI to reduce repeated work without giving it the final say.
- Intelligence
Continuous Market Intelligence
The market changes faster than the team learns.
Catch buyer, competitor and market changes early enough to do something about them.
- GTM
Go-to-Market & Adoption
The launch is busy. The teams still disagree on the point.
Give Product, Marketing, Sales and Customer Success one launch plan they can actually use.
- Operations
AI Product Marketing Operations
The same product-marketing work is rebuilt every time.
Cut the repeated work in product marketing without losing the source, the reviewer or the right to stop.
Not sure where it breaks?
The Marketing Systems Audit traces the current work and picks the first fix.
See how the audit works →Insights
Notes from the work.
Tool assessment · 11 minn8n vs Make: why I choose n8n for product-marketing workflows
AI gets me to a runnable n8n draft quickly. The reason I stay is what happens next: inspect the failure, fix it and run the workflow again.
Workflow guide · 6 minHow to build a competitor website monitoring workflow
A workflow that saves each permitted source before comparing it, cuts duplicate alerts and asks an analyst to check uncertain changes.
Guide · 6 minHow to make a B2B website legible to buyers and AI answer systems
What to publish, structure and test when buyers use both search engines and AI answers to research a B2B product.
Guide · 6 minHow to build a product-truth and claims-evidence system
Keep product facts, claims, proof and approvals in one maintained record so the website, launches, sales material and AI workflows stop drifting apart.
2026 research report · 31 pages · free
Product Marketing in the Age of AI
The report follows the buying journey from AI research to a 2.5-vendor shortlist, then asks what product marketing should change. It ends with playbooks by market and a twelve-month plan.
94%of B2B buyers used AI in their most recent purchase
2.5vendors on the average shortlist, down from 3.2
51%start research in an AI chatbot