Atlas. PersonaAI inside.
Atlas is your very own marketing assistant
It gives your PersonaAI synthetic customer the tools the create and review campaign content before they go live
Your buyer, in the room when the campaign gets written
Most AI content tools generate plausible-sounding content from training data. Atlas generates from your synthetic customer.
The result: content that sounds like your brand, talks to your real buyers, and lands without the approval cycle from hell.
Atlas built and in use by life science companies and consultancies of all sizes. PersonaAI inside
Three things change with Atlas
1.
You can see why a claim or a message was chosen, and which customer evidence supports it.
2.
Approved claims, terminology and brand voice guide the draft through the process.
3.
Landing pages, emails, and social posts are all developed for your customers.
From campaign brief to message execution, with the buyer in the loop.
GOVERNANCE
Atlas works inside your approved boundaries
Before Atlas creates any campaign content, Strivenn configures the guidance it has to follow. That covers your approved claims, your product terminology, your brand voice, any required language and whatever other campaign rules you set. Atlas works to those boundaries when it drafts and when it reviews. Where your evidence or your approved claims do not support a message, it is built to say so rather than reach for a stronger one.
One boundary is enforced by the system itself. Every call-to-action destination Atlas is allowed to use sits on a list you control. The job reads that list live and refuses a destination that is not on it before any work is produced. Retire a destination and it stops being reachable that day.
Be precise about the difference when your CEO asks, because the difference matters. The destination list is a gate the work cannot get past. Your claims, terminology and brand voice are configured into the build that does the work, which is a strong constraint and a different kind of one.
You set the list, you brief the campaign, you see the work that comes back, and you approve it.
THE AI MARKETING ASSISTANT YOU'VE BEEN WAITING FOR
The buyer shows up whenever they are needed
Atlas does more than ask the buyer a question. It carries that buyer perspective through the whole of campaign development.
1.
Challenge the message
Ask the synthetic customer how your buyer is likely to respond to a proposition, a claim or a call to action. It answers in character. It disagrees with the other archetypes on a panel. It holds a position when you push instead of agreeing with you.
2.
Draft the
campaign
Just brief Atlas and it produces the campaign assets from your approved buyer evidence and brand guidance.
Landing pages, emails, social posts, deck, follow-up.
3.
Review before release
Atlas checks the draft against the same buyer evidence, approved claims and campaign rules before anything moves forward. Your own review still runs on top of that, unchanged.
HOW IT WORKS
Atlas runs on PersonaAI
PersonaAI is the synthetic customer. The buyer evidence base. The grounding layer. Atlas is what publishes from it. Together they do something neither does alone: turn buyer evidence into content that sounds like your brand and respects your approval cycle.
★ PersonaAI inside
The synthetic customer inside Atlas, built from your evidence and nobody else's.
PersonaAI
Grounded buyer evidence
Customer interviews, sales calls, win and loss data, LinkedIn behaviour
+
Brand
Your brand guidance
Built using your brand voice, claims matrix, approved language
=
Atlas
Campaign content you can defend
Assets in your brand voice, written to your real buyers
Why not just ask ChatGPT to write it?
You can.
A general model will draft a landing page, an email or a campaign concept in seconds. What it does not know is which buyer evidence should guide the message, which claims your organisation has approved, how your brand is supposed to speak, or whether every asset in the campaign has stayed inside those boundaries.
Atlas brings those inputs together before the content is created, so the correcting stops landing on your reviewers. That is the difference.
WHO ATLAS SERVES
One buyer perspective, used across the campaign team
Your voice, in every asset.
VP of Marketing
Tests whether the campaign direction and the message reflect the buyer evidence and the brand strategy.
Content
Lead
Creates and reviews campaign assets against the same buyer evidence and brand guidance.
Solo Marketer
Gets buyer-informed support across the whole campaign without needing a large internal team.
“
"It's like having my very own marketing assistant."
Kristina Whitfield, Marketing Manager,
Pivotal Scientific
THE LIMIT, AND HOW TO START
Synthetic for directional,
Human for decisional
Most "synthetic customers" are guessing. Someone asks an AI to imagine a buyer, and it invents the answer.
The ones Strivenn builds you work from your own research. The interviews you ran. The survey data you collected. The deals you won and lost.
Your reviewers will ask about that difference. Have the answer ready.
Here is the rule we work to. Atlas writes the work and checks that the outputs match the rules you gave it before you decide what happens next.
That is why we start with one campaign. You see how it writes, how it handles your claims, and what comes back, before you commit to anything bigger.
ATLAS PILOT
Start with one campaign
The Atlas Pilot applies the approach to one defined campaign, so your team can judge the process, the outputs and the fit before deciding whether to use Atlas more widely.
- Built on: your buyer evidence, brand voice, claims matrix and value propositions, with a configured PersonaAI build included.
- Delivered as: one full campaign kit. Landing page, emails, social, deck, follow-up.
- Timeline: configured and delivered in one week, with one review cycle.
- Price: Atlas Pilot USD 6,000 fixed
ATLAS SCALE
Expand when it proves useful
- Built on: your pilot foundation, plus deeper integration with your CMS, email and CRM workflows.
- Delivered as: continuous campaign capacity, brand voice protocols and AI voice development.
- Timeline: a quarterly or annual engagement, scoped after the pilot.
- Best for: teams running multiple campaigns, products or regions.
- Price: Atlas Scale on request
Synthetic for directional,
Human for decisional
The Market Research Society has published on where synthetic respondents fail. ESOMAR reached the same conclusion. Read both before you buy anything in this category, including ours.
Their criticism is fair, and it lands hardest on the thing most vendors are selling: a model prompted to imagine a buyer, producing answers drawn from an average of the internet and presenting them with the poise of primary research. That critique also applies to us the moment the evidence underneath goes thin, which is precisely why the sealing, the traceability and the refusal behaviour above exist.
A Strivenn synthetic customer stands on primary research. Voice of customer interviews. Quantitative survey data. Historical baselines that show how the market moved. Years of observed market signal. That changes what the output is worth. It does not change the rule. Use it to stress-test thinking between research cycles, then validate with real buyers before you commit.
The human still owns the decision
A synthetic customer can challenge your assumptions, interrogate the evidence you already own and expose the gaps in your thinking before a launch does it for you. It should not decide whether you launch a product, approve a claim, enter a market or commit investment. Your voice of customer programme, your customer interviews and the people accountable for the final call all stay exactly where they are.
Anyone selling you a synthetic customer that closes the loop on its own is selling you something that will fail a professional review, and that review is coming.
Better use of the evidence you already have
Your organisation has already bought the interviews, run the surveys and filled the CRM. Most of it is sitting in a folder somebody has to remember to open. A grounded, governed synthetic customer turns that evidence into a buyer your team can question on a Tuesday afternoon, and into an answer you can defend when the questions come from above you.
What you'll walk away FROM THE CALL with:
| ✓ A diagnosis of where your content is drifting from the buyer |
| ✓ The two highest-leverage points to close the gap |
| ✓ A one-page summary you can defend internally |
Frequently Asked Questions
Why not just ask ChatGPT to write it?
Do I need PersonaAI before I can use Atlas?
How does Atlas handle claims and approved language?
Will it sound like our brand?
Yes. Atlas is configured on your brand voice, terminology and message house, then checked against example assets for tone and structure. The pilot includes a brand voice review cycle so the output matches before scale begins.
What if we are a small startup with no formal claims docs?
What tools does Atlas connect to?
How fast can we go live?
What training is required?
What proof is there that this works?
Do we get hands-on access to the content tools?
Where does this live, and who has to approve it?
Is our evidence shared with other Strivenn clients?
Championing Responsible AI