Clarity
Do they understand what you do?
15 could name what kind of product this is, unprompted.
https://proekspert.com/15 AI-simulated buyers
Your message needs work: they know what it is, who it's for, and why it's worth their time, but not why to pick you.
Do they understand what you do?
15 could name what kind of product this is, unprompted.
Can they tell what it solves, and who it's for?
10 could quickly tell what problem it solves and who it is for.
Do they actually want it?
12 would take a meeting to learn more.
Is there a reason to pick you over the alternatives?
6 could name a reason to pick you over a similar option.
Your page describes: IoT software engineering. They said:
5 couldn't name one; 10 got it right.
Four separate measures, not stages: all 15 personas answered all four questions. Each square is one persona.
Three respondents said employer branding and awards messaging dilutes mission-critical positioning for compliance buyers, and one added the enterprise-scale framing offers no proof of fit for mid-size manufacturers. Not one of the four layers, and it does not affect the scores above or the order to fix them in.
These are 15 simulated buyers. Want 15 real ones?
Test with humansThe first is on your weakest layer, the second on the next, the third on the layer the most buyers had a problem with. Each says what to change on the page and why, with one simulated answer behind it.
Why: "engineered AI-ready, governed by design" asserts a state nobody can verify. State the move it makes: siloed device data pulled into one governed layer, with a before/after on what the plant could then query.
2 of 15 raised this
“no case study shows firmware maintenance burden solved with numbers”
Why: The three featured links — Power BI migration, CRA compliance, roof measurement — read as a random sample. Label them by the job: legacy firmware modernization, embedded-to-cloud, device data platform, so buyers find their own situation.
4 of 15 raised this
“The case study quotes (roof-measurement turn rate to "60-99%", "engagement increased 100%") are for completely different problems - sales tools, shop-floor UX - not legacy firmware modernization, so they don't actually give me a before/after I can map onto my problem.”
Why: The value section offers 30+ years, 150+ experts and 79 NPS — company facts, not customer results. Give each case tile a figure: weeks to audit-ready, months to first cloud deployment, defect or downtime change.
7 of 15 raised this
“the page gives me a Danfoss quote about "swift reaction to critical situations" and a Solarstones case with a "60-99% turn rate" that has no baseline or methodology attached”
These landed. Keep the wording when you edit around it.
The headline and competency grid make the audience obvious within seconds
“They're a software engineering house that builds embedded/IoT systems and cloud data layers for hardware manufacturers—essentially an outsourced R&D partner for connected devices.”
Why: The CRA/IEC 62443 work only exists as an unlabelled case-study link and footer nav. Give it a headline block naming the deadline, the audit outcome and how long remediation took, so compliance buyers see the one thing rivals lead with.
2 of 15 raised this
“no case study shows firmware maintenance burden solved with numbers”
Why: Logos and "Digital leaders we've guided" carry no detail on what was fixed. Under each named client, give one line of problem plus one measured result, so the reader can tell this firm apart from any other engineering vendor.
2 of 15 raised this
“no case study shows firmware maintenance burden solved with numbers”
Why: "Embedded software and systems" and "Custom software development" are category labels that overlap and leave service boundaries unclear. Lead each with the job — getting a device to talk to the cloud, meeting a security audit — then list the capability.
4 of 15 raised this
“The case study quotes (roof-measurement turn rate to "60-99%", "engagement increased 100%") are for completely different problems - sales tools, shop-floor UX - not legacy firmware modernization, so they don't actually give me a before/after I can map onto my problem.”
Why: "established global enterprises" and the 300+ customer scale signal that smaller manufacturers are not the fit. Add a line naming the size of team or product line the engagements typically serve.
4 of 15 raised this
“The case study quotes (roof-measurement turn rate to "60-99%", "engagement increased 100%") are for completely different problems - sales tools, shop-floor UX - not legacy firmware modernization, so they don't actually give me a before/after I can map onto my problem.”
Why: "A high professional level" and "react very swiftly" are praise with nothing behind them. Pair each Danfoss reference with what shipped and what improved, or cut them for testimonials that carry numbers.
7 of 15 raised this
“the page gives me a Danfoss quote about "swift reaction to critical situations" and a Solarstones case with a "60-99% turn rate" that has no baseline or methodology attached”
No specific edits needed here — this layer held up.
Why: Employer branding competes with the mission-critical positioning the hero sets up. Keep the homepage on client outcomes and relocate awards to the careers or about page.
3 of 15 raised this
“Where it stops feeling written for me is the pile of employer-branding badges (Family-friendly employer, Work-Happy People, Dream Employer finalist) — that's HR trying to recruit engineers, not a VP trying to de-risk a connected-product build, and it dilutes the "mission-critical" framing they lead with.”
A deliberately adversarial read of the same answers. Each claim was checked back against what the personas said and dropped if nothing supported it.
The page tells visitors who it is for and then fails to tell them anything else.
Six respondents named the audience within seconds from the hero and logos, but seven found no timelines, costs, team sizes or outcome metrics, and five read the competency tiles as a category list with no problem statement.
Buyers are being forced to do the firm's positioning work themselves.
Several respondents had to infer the business model from case studies, two found compliance services only in footer navigation, and three said the migration path from siloed device data to a data layer is never stated.
The proof assets actively work against the page rather than supporting it.
Four respondents said the case studies address the wrong problems, and two said client examples lack detail on problems solved or outcomes — so the one place the model can be inferred is also the weakest asset.
The CRA opportunity is being handed to competitors.
The CRA/IEC 62443 deadline surfaces only inside case study links, compliance sits in footer navigation, and two respondents specifically wanted a named CRA case study with timeline and cost against competitors positioned on compliance.
Every differentiation claim on the page is an assertion a competitor could copy verbatim.
"AI-ready" is never defined with metrics or before/after data, the Danfoss references carry no baseline methodology, and nothing separates the firm from compliance-focused competitors.
The page is optimised for a recruiting and prestige audience at the buyer's expense.
Three respondents said employer branding and awards dilute mission-critical positioning for compliance buyers, and enterprise-scale framing offered no proof of fit for mid-size manufacturers — page real estate spent on badges instead of the missing numbers.
Nothing on the page separates the firm from compliance-focused competitors
2 of 15
“no case study shows firmware maintenance burden solved with numbers”
"AI-ready" and the data layer story are asserted without definition or migration path
2 of 15
“What would rule them out, or at least knock them down the shortlist, is that "AI-ready" is never defined anywhere on the page—no metric, no before/after data volume or latency number, nothing like "reduced integration time by X%"”
“"AI-ready data platforms... governed by design" is a claim, not proof — I'd need a case study with numbers like the Solarstones one (60-99% turn rate) for a data-platform project specifically, not just embedded/IoT wins, before I'd believe it applies to us.”
The case studies shown do not match the scenarios respondents came with
4 of 15
“The case study quotes (roof-measurement turn rate to "60-99%", "engagement increased 100%") are for completely different problems - sales tools, shop-floor UX - not legacy firmware modernization, so they don't actually give me a before/after I can map onto my problem.”
“"AI-ready data platforms... governed by design" is a claim, not proof — I'd need a case study with numbers like the Solarstones one (60-99% turn rate) for a data-platform project specifically, not just embedded/IoT wins, before I'd believe it applies to us.”
“there's no case study on the page walking through a legacy firmware modernization end-to-end with timelines, team size, or cost, so I don't actually know what "worked" looks like in practice for someone in my position.”
No numbers anywhere: no timelines, costs, team sizes or outcome metrics
7 of 15
“the page gives me a Danfoss quote about "swift reaction to critical situations" and a Solarstones case with a "60-99% turn rate" that has no baseline or methodology attached”
“the page gives me zero numbers on delivery timelines, cost vs. an in-house hire, or defect/quality rates, just a "79 NPS" with no methodology and testimonials with no metrics attached”
“The one outcome that matters is a signed-off, audit-ready compliance package for a specific product line delivered inside our deadline window — not a gap analysis or a slide deck”
“A named energy-equipment or utility client — not Danfoss by proxy, but someone in my exact vertical dealing with grid or HVAC hardware going connected — plus a one-line case outcome like 'cut connected-product time-to-market from 18 months to 6,' would make me feel they'd built this page for me instead of for generic 'smart device manufacturers.'”
“no case study shows firmware maintenance burden solved with numbers”
“there's no case study on the page walking through a legacy firmware modernization end-to-end with timelines, team size, or cost, so I don't actually know what "worked" looks like in practice for someone in my position.”
Competency tiles name categories instead of stating the problem being solved
4 of 15
“the page never uses the words "consultancy," "services," or "partner engagement," it just lists competencies like a product menu”
“The "problem," though, I had to infer rather than have stated plainly - it's a scattershot of six-plus competencies (embedded, cloud, data platforms, CX design) rather than one named pain point”
“The six-plus competency labels themselves - "AI-ready data platforms," "customer experience design," "user-centric digital services" - are generic consultancy phrases that could sit on almost any dev shop's site”
Compliance and CRA work is buried below the homepage hierarchy
2 of 15
“There's no sentence that says "if your firmware can't meet CRA by 2027, here's what we do about it" until you dig into the case study links.”
“so I had to go down to the footer nav ("EU CRA compliance service," "IEC 62443 compliance analysis service") to actually confirm they do the thing I need”
The headline and competency grid make the audience obvious within seconds
5 of 15 · what worked
“They're a software engineering house that builds embedded/IoT systems and cloud data layers for hardware manufacturers—essentially an outsourced R&D partner for connected devices.”
“the reader is implied to be someone like me — an R&D or engineering lead at a manufacturer — but it's never explicitly stated as "for R&D heads at manufacturers"; I inferred that from the client logos (Danfoss, Ericsson, GPV) and the competency list, not from a direct sentence naming the buyer”
Awards and recruitment badges pull the page away from the buyer audience
3 of 15
“Where it stops feeling written for me is the pile of employer-branding badges (Family-friendly employer, Work-Happy People, Dream Employer finalist) — that's HR trying to recruit engineers, not a VP trying to de-risk a connected-product build, and it dilutes the "mission-critical" framing they lead with.”
“right now it reads as "built for Danfoss-scale engagements," and I'd want proof they can right-size for us.”
15 AI-simulated personas matched to your target market. Each answered independently, without seeing your goal, the scoring criteria, or each other’s answers. Attribution is role, industry and company size only.
Every answer on this page was written by an AI model role-playing a buyer profile, scored on Wynter’s B2B Message Layers framework. The personas were sampled in code across role, industry, company size and behavioral traits; the model wrote only the answers. Scores arrive through fixed verdict categories and the counts are computed in our own code, so no number here was written by a model.
The count is how many personas cleared the bar on each question. A yes can be unhesitating or come with reservations; the scorecard counts both as a yes, and this is the only place the difference is shown. Per layer:
These answers are AI-simulated and directional. Validate anything you’re betting on with real buyers, your ICPs.
A detailed, section-by-section message test report from verified B2B professionals who are actually in-market for what you sell.







