# Message test — https://web.dev.ratedpower.com/ After reading your page, 12 of 15 personas could name what kind of product this is, unprompted. - **Page tested:** https://web.dev.ratedpower.com/ - **Audience tested against:** Heads of engineering and senior PV design engineers at utility-scale solar and BESS developers, EPCs and engineering consultancies with 15–250 staff, mostly in Europe (Italy, Iberia, the UK, DACH). Today they screen sites and build layouts in Excel, AutoCAD and Google Earth, and check yield in PVsyst, which they'll keep using. They have more projects in the pipeline and more tenders due than engineers to design them, so every go/no-go call waits on manual rework. They buy a €15–30K annual licence once the design engineers have tested it and the engineering lead signs off. Not for rooftop, residential or C&I installers, utilities, banks and funds, equipment suppliers, or teams looking for a free self-serve trial. - **Personas:** 15 simulated - **Report:** https://grader.wynter.com/r/ai-powered-solar-pv-and-bess-design-enverus-ra-xEnZ25I > These answers are generated by AI, scored on Wynter's B2B Message > Layers framework using behaviorally-diverse simulated personas. The > methodology is real and the critique is directional. What a simulated > persona cannot have is a live budget, a renewal coming up, or a boss > asking about this quarter. --- ## 01 · The scores Every persona answered all four questions. These are four independent proportions of the same panel, not stages of a funnel. | Layer | Question | Cleared the bar | Strength | Of those who passed | | --- | --- | --- | --- | --- | | 1. Clarity | Do they understand what you do? | 12/15 | 91% | 9 without hesitation, 6 with reservations | | 2. Relevance | Can they tell what it solves, and who it's for? | 15/15 | 100% | all without hesitation | | 3. Value | Do they actually want it? | 15/15 | 78% | all with reservations | | 4. Differentiation | Is there a reason to pick you over the alternatives? | 14/15 | 74% | all with reservations | **Brand alignment** (a side metric, not one of the four layers) — 15/15, 78% strength (all with reservations). Does the page read like the company you actually are? **Fix first: Clarity.** Earliest failing layer, walking the sequence in order — not simply the lowest score. ### What they thought you sell 2 of the personas who named a category got it wrong: - 2× “PV/BESS design automation software” --- ## 02 · What to change, layer by layer Ordered worst-first. Specific edits, not a restatement of the score. ### Clarity **Define the Power Analyst in one sentence where it first appears in the AI section.** "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. *effort low · impact medium · tested against Plain language* **Use one consistent product name for Enverus RatedPower across headings and body copy.** 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. *effort low · impact medium · tested against Plain language* ### Differentiation **Add sites, capacity and comparison basis under each client testimonial.** 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. *effort medium · impact medium · tested against Proof next to the claim* ### Relevance **Name Google Earth and manual site screening in the problem paragraph.** 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. *effort low · impact medium · tested against Problem before solution* ### Value **Attach a source line under the 160x, 5% LCOE and 20% profit figures.** 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. *effort medium · impact high · tested against Proof next to the claim* **Move the Black & Veatch audit line up beside the three headline numbers.** 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. *effort low · impact high · tested against Proof next to the claim* **Add a line under the demo buttons offering a test on the buyer's own site.** 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. *effort low · impact high · tested against Answer the live objection* --- ## 03 · What is working ### What the platform does is understood, even where naming is not Three respondents could restate the offer accurately: an AI-driven engine combining layout, yield, electrical design and CAPEX for utility-scale solar and BESS against LCOE and IRR targets. > 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. > > — Head of Engineering, Engineering and Construction, 11-50 > 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 > > — Engineering Lead, Solar Development, 201-500 > 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 > > — Engineering Lead, Solar Development, 201-500 ### The problem statement and buyer definition land without inference Seven respondents said the page names the engineering-lead bottleneck, the manual CAD/spreadsheet iteration cycle, and the target roles explicitly and upfront, rather than leaving the audience to infer them. > 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. > > — Senior PV Design Engineer, Renewable Energy, 51-200 > 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 > > — Head of Engineering, Engineering and Construction, 11-50 > 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 > > — Engineering Lead, Solar Development, 201-500 > 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. > > — Engineering Lead, Solar Development, 201-500 > 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 > > — Engineering Lead, Solar Development, 201-500 ### The Black & Veatch PVsyst reconciliation is the proof point respondents believed Eight respondents singled out the named third-party audit and its 0.24%–1.08% tolerance range as the most credible evidence on the page, contrasting it with unsourced marketing claims. > 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 > > — Engineering Lead, Solar Development, 201-500 > 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. > > — Head of Engineering, Engineering and Construction, 11-50 > 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. > > — Senior PV Design Engineer, Renewable Energy, 51-200 > 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 > > — Engineering Lead, Solar Development, 201-500 > 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. > > — Engineering Lead, Solar Development, 201-500 > 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 > > — Head of Engineering, Engineering and Construction, 11-50 > 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 > > — Senior PV Design Engineer, Renewable Energy, 51-200 ### The speed and LCOE claims map directly onto the rationing of engineering hours One respondent connected 160x faster layouts and 5% LCOE improvement straight to the backlog problem the page opens with. > 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 > > — Engineering Lead, Solar Development, 201-500 --- ## 04 · What the personas said ### Naming is a comprehension obstacle at two points on the page Two respondents stumbled on branding: 'Enverus RatedPower' reads as two companies stitched together, and 'Agentic Power Analyst' is never explained. > 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 > > — Engineering Lead, Solar Development, 201-500 ### The stated pain misses part of the real workflow Two respondents wanted the problem framing sharpened: Google Earth site screening is not named as a current bottleneck, and a quantified backlog-reduction metric would beat a generic role description. > 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 > > — Engineering Lead, Solar Development, 201-500 > 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" > > — Senior PV Design Engineer, Renewable Energy, 51-200 ### CAPEX, LCOE and productivity numbers are not believed without attribution Five respondents said the 160x layout speed, 5% LCOE and 20% profit figures lack sourcing or rigor, and would only trust them after a live test on their own site against their current AutoCAD process. > 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 > > — Engineering Lead, Solar Development, 201-500 > 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. > > — Head of Engineering, Engineering and Construction, 11-50 > 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 > > — Head of Engineering, Engineering and Construction, 11-50 > The specific numbers, "5% less LCOE" and "20% more asset profits," are the ones I'd actually want proven > > — Engineering Lead, Solar Development, 201-500 > 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. > > — Engineering Lead, Solar Development, 201-500 ### Testimonials carry no methodology behind the numbers One respondent noted client testimonials lack sourced methodology and site-specific data, limiting them to social proof rather than evidence. > testimonials without a number I can trace back to a project size or terrain type don't move me. > > — Senior PV Design Engineer, Renewable Energy, 51-200 --- ## 05 · The hardest read An adversarial pass over the findings. Every claim below was checked against the panel's own answers; unsupported ones were dropped. - **The page's headline numbers actively damage its credibility rather than build it.** *(high)* 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.** *(high)* 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.** *(high)* 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.** *(high)* 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.** *(medium)* 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.** *(medium)* 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. --- ## 06 · Who answered | # | Role | Industry | Company size | | --- | --- | --- | --- | | 1 | Engineering Lead | Solar Development | 201-500 | | 2 | Head of Engineering | Engineering and Construction | 11-50 | | 3 | Senior PV Design Engineer | Renewable Energy | 51-200 | | 4 | Engineering Lead | Solar Development | 201-500 | | 5 | Head of Engineering | Engineering and Construction | 11-50 | | 6 | Senior PV Design Engineer | Renewable Energy | 51-200 | | 7 | Engineering Lead | Solar Development | 201-500 | | 8 | Head of Engineering | Engineering and Construction | 11-50 | | 9 | Senior PV Design Engineer | Renewable Energy | 51-200 | | 10 | Engineering Lead | Solar Development | 201-500 | | 11 | Head of Engineering | Engineering and Construction | 11-50 | | 12 | Senior PV Design Engineer | Renewable Energy | 51-200 | | 13 | Engineering Lead | Solar Development | 201-500 | | 14 | Head of Engineering | Engineering and Construction | 11-50 | | 15 | Senior PV Design Engineer | Renewable Energy | 51-200 | --- ## 07 · Before you act on this The methodology is real, and the critique is directional. What a simulated persona cannot have is a live budget, a renewal coming up, or a boss asking about this quarter. **Validate anything you're betting on with real ICPs who are actually in-market.** Being wrong is more expensive than you think. Finding out is cheaper than you'd guess. Wynter runs message testing with verified B2B professionals — trusted by HubSpot, RingCentral, Shopify, Cognism, Paddle, Veeam, Rippling and Miro. This report is kept for 60 days from 2026-09-24, then deleted along with the personas and their answers.