Clarity
Fix firstDo they understand what you do?
12 could name what kind of product this is, unprompted.
https://web.dev.ratedpower.com/15 AI-simulated buyers
Your message lands: they know what it is, who it's for, why it's worth their time, and why to pick you.
Do they understand what you do?
12 could name what kind of product this is, unprompted.
Can they tell what it solves, and who it's for?
15 could quickly tell what problem it solves and who it is for.
Do they actually want it?
15 would take a meeting to learn more.
Is there a reason to pick you over the alternatives?
14 could name a reason to pick you over a similar option.
Your page describes: AI-powered design and engineering software. They said:
8 couldn't name one; 2 named the wrong one; 5 got it right.
Four separate measures, not stages: all 15 personas answered all four questions. Each square is one persona.
15 of 15 recognized the kind of company behind the page, in a tone written for them. 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: "Agentic Power Analyst" and "Enverus ONE Power Analyst" appear with no plain explanation of what the agent actually does. Add a first line saying it is an AI assistant that runs design scenarios on request and waits for your confirmation.
2 of 15 raised this
“the only friction was the branding itself, "Enverus RatedPower," which reads like two company names stitched together and made me pause for a second to work out who I'd actually be buying from”
Why: Testimonial numbers arrive without the project size or the process they were compared against, so they read as praise rather than evidence. Note the site type, MW and what the customer measured against underneath each quote.
1 of 15 raised this
“testimonials without a number I can trace back to a project size or terrain type don't move me.”
Why: The three headline numbers sit with no basis, so a buyer cannot tell if they came from customer projects or marketing. Add what they were measured against, on how many projects, and over what period, next to each number.
5 of 15 raised this
“I'd want them to run one of our actual sites live and show me the CAPEX and yield outputs side-by-side with our current AutoCAD numbers before I'd move past a demo”
These landed. Keep the wording when you edit around it.
The Black & Veatch PVsyst reconciliation is the proof point respondents believed
“The DWG round-trip and the Black & Veatch PVsyst reconciliation (+0.24% to +1.08%) are the kind of specifics that make me believe the yield number would survive internal review, not just marketing math”
The problem statement and buyer definition land without inference
“the pain (manual, slow, one-at-a-time layout/yield work limiting portfolio evaluation) and the buyer (anyone running utility-scale PV/BESS pipelines) are both named directly rather than left for me to piece together.”
What the platform does is understood, even where naming is not
“It's software that automates utility-scale solar/BESS design - you feed it a site and it spits out layouts, energy yield, electrical design and CAPEX numbers, with an AI layer on top that lets you set a target (like LCOE or IRR) and it searches the design space for you.”
Why: Readers see "Enverus RatedPower", "Enverus ONE Power Analyst" and "Agentic Power Analyst" and cannot tell whether these are one product or several companies. Pick one product name, state the relationship once, and use it everywhere.
2 of 15 raised this
“the only friction was the branding itself, "Enverus RatedPower," which reads like two company names stitched together and made me pause for a second to work out who I'd actually be buying from”
Why: The problem section names spreadsheets and CAD but skips the screening step where teams eyeball parcels in Google Earth before any design starts. Add it to the opening paragraph so the GIS section has a bottleneck to answer.
2 of 15 raised this
“I'd want a line that names my specific bottleneck with a number attached to it — something like "engineering leads cut backlog by X% without adding headcount" — rather than the generic role blurb”
Why: The one piece of sourced evidence sits far down the page under yield, while the unsourced claims lead. Put the named third-party audit and its tolerance range next to the numbers it helps make believable.
5 of 15 raised this
“I'd want them to run one of our actual sites live and show me the CAPEX and yield outputs side-by-side with our current AutoCAD numbers before I'd move past a demo”
Why: Buyers say they would only trust the numbers after running one of their own sites against their current AutoCAD process. Say the demo does exactly that, using their site data, and how long it takes.
5 of 15 raised this
“I'd want them to run one of our actual sites live and show me the CAPEX and yield outputs side-by-side with our current AutoCAD numbers before I'd move past a demo”
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's headline numbers actively damage its credibility rather than build it.
Five respondents rejected the 160x layout speed, 5% LCOE and 20% profit figures as unsourced, versus one who connected them to the backlog problem. The quantified value proposition is outnumbered five to one by disbelief.
One audit is doing all the persuasive work, and it is not the page's own claim.
Eight respondents named the Black & Veatch PVsyst reconciliation as the most credible evidence, explicitly contrasting it with the page's unsourced marketing claims. Remove that third-party citation and nothing on the page survives scrutiny.
Every piece of evidence the company controls is discounted; only externally verified material is trusted.
Testimonials were downgraded to social proof for lacking methodology, and the CAPEX, LCOE and productivity numbers were rejected for lacking attribution. The only believed proof point came from a named third-party auditor.
Buyers will not act on the page without first running their own test, which means the page does not close.
Five respondents said they would only trust the performance figures after a live test on their own site against their current AutoCAD process. Comprehension is not the bottleneck to conversion — verification is.
Comprehension of the product survives the branding, but the branding is a needless tax.
Three respondents restated the offer accurately while two stumbled on 'Enverus RatedPower' reading as two companies and 'Agentic Power Analyst' going unexplained. The product is understood in spite of the naming, not because of it.
The problem framing is generic where it needs to be specific, and that undercuts the strongest part of the page.
Seven respondents found the bottleneck and buyer definition explicit, yet two flagged that Google Earth site screening goes unnamed and that a quantified backlog-reduction metric would beat a generic role description.
Naming is a comprehension obstacle at two points on the page
2 of 15
“the only friction was the branding itself, "Enverus RatedPower," which reads like two company names stitched together and made me pause for a second to work out who I'd actually be buying from”
What the platform does is understood, even where naming is not
3 of 15 · what worked
“It's software that automates utility-scale solar/BESS design - you feed it a site and it spits out layouts, energy yield, electrical design and CAPEX numbers, with an AI layer on top that lets you set a target (like LCOE or IRR) and it searches the design space for you.”
“It's AI-driven design software for utility-scale solar, storage and hybrid projects — layout, energy yield, electrical design and CAPEX all run off one engine”
“a tool that takes a site from GIS/land data through layout, energy yield, electrical design, CAPEX and a full document package, instead of doing all that manually across spreadsheets and CAD”
Testimonials carry no methodology behind the numbers
1 of 15
“testimonials without a number I can trace back to a project size or terrain type don't move me.”
The stated pain misses part of the real workflow
2 of 15
“I'd want a line that names my specific bottleneck with a number attached to it — something like "engineering leads cut backlog by X% without adding headcount" — rather than the generic role blurb”
“I'd want a line naming my actual daily tool, Google Earth, or at least "manual GIS/CAD screening," instead of just "spreadsheets and CAD"”
The problem statement and buyer definition land without inference
6 of 15 · what worked
“the pain (manual, slow, one-at-a-time layout/yield work limiting portfolio evaluation) and the buyer (anyone running utility-scale PV/BESS pipelines) are both named directly rather than left for me to piece together.”
“the line "Hand AI the iterations, keep the engineering call" tells you exactly what problem it's solving: too much manual iteration in layout/yield/CAPEX work. The "By industry/By role" section (developers, EPCs, utilities, IPPs, engineering leaders) spells out the buyer directly”
“the line about spreadsheets and CAD taking a day or two per scenario names the problem straight away: too few design iterations because manual layout work is slow”
“it's clearly written for a wide net of roles rather than one specific buyer, so while the problem is crystal clear the reader targeting feels broad by design.”
“a tool that takes a site from GIS/land data through layout, energy yield, electrical design, CAPEX and a full document package, instead of doing all that manually across spreadsheets and CAD”
CAPEX, LCOE and productivity numbers are not believed without attribution
5 of 15
“I'd want them to run one of our actual sites live and show me the CAPEX and yield outputs side-by-side with our current AutoCAD numbers before I'd move past a demo”
“Run it live on a site we've already tendered by hand and have it produce a layout that beats or matches our engineer's design on LCOE, with a DWG that opens clean in our CAD without manual rework - if that happens once, on our numbers, that's the outcome that justifies the time.”
“the Black & Veatch yield audit (+0.24% to +1.08% vs PVsyst) is the only number on the page with a name attached to it — the rest is marketing math”
“The specific numbers, "5% less LCOE" and "20% more asset profits," are the ones I'd actually want proven”
“The Black & Veatch reconciliation figure (+0.24% to +1.08% against PVsyst) is the one bit of proof that would make me take a call, because it's a specific, checkable number rather than a marketing claim. But I'd want that same rigor applied to the CAPEX and LCOE numbers before I'd sit through a demo — right now those are asserted, not shown.”
The Black & Veatch PVsyst reconciliation is the proof point respondents believed
7 of 15 · what worked
“The DWG round-trip and the Black & Veatch PVsyst reconciliation (+0.24% to +1.08%) are the kind of specifics that make me believe the yield number would survive internal review, not just marketing math”
“The one thing on this page that actually pulls me toward it over a generic competitor is the DWG round-trip plus the Black & Veatch PVsyst reconciliation - "+0.24% to +1.08%" is a real audited number with a named third party attached, not a marketing figure, and the DWG export means my civil team isn't stuck relearning a tool.”
“The Black & Veatch reconciliation number (+0.24% to +1.08% vs PVsyst) is the one bit of proof that makes me think the yield engine might actually be credible rather than marketing.”
“The Black & Veatch audit line - "audited the simplified yield against PVsyst at +0.24% to +1.08%" - is the one thing here that would actually move me over a competitor, because it's a named third party checking their numbers against the industry-standard tool”
“The Black & Veatch reconciliation figure (+0.24% to +1.08% against PVsyst) is the one bit of proof that would make me take a call, because it's a specific, checkable number rather than a marketing claim. But I'd want that same rigor applied to the CAPEX and LCOE numbers before I'd sit through a demo — right now those are asserted, not shown.”
“The Black & Veatch audit number (+0.24% to +1.08% vs PVsyst) is the one bit of proof that would make me trust the yield output enough to bring to a client”
“it's a third-party check with a specific range, not a marketing adjective, and it directly answers the question I care about most: does the yield model survive review by a bankable engineer”
The speed and LCOE claims map directly onto the rationing of engineering hours
1 of 15 · what worked
“If the "160 faster layouts" and "5% less LCOE" numbers held up on our own sites, that directly attacks the backlog problem — I'd stop rationing engineering hours across two options and actually run the whole design matrix”
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.







