Message test · Survicate

Only 8 of 14 buyers could quickly tell what Survicate solves and who it is for.

https://survicate.com/pricing/15 AI-simulated buyers

Your message needs work: they know what it is, why it's worth their time, and why to pick you, but not who it's for.

Simulated responsesNo humans answered these questions. Every quote below was written by an AI model role-playing a buyer profile.
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01

Your verdict

  • Clarity

    Do they understand what you do?

    Strong15 of 15

    15 could name what kind of product this is, unprompted.

  • Relevance

    Fix first

    Can they tell what it solves, and who it's for?

    Weak8 of 14

    8 could quickly tell what problem it solves and who it is for.

  • Value

    Do they actually want it?

    Strong14 of 15

    14 would take a meeting to learn more.

  • Differentiation

    Is there a reason to pick you over the alternatives?

    Mixed10 of 15

    10 could name a reason to pick you over a similar option.

See what they thought you were

Your page describes: customer feedback. They said:

  • 9×Customer feedback / survey platformmatches
  • 2×Customer feedback / survey softwarematches
  • 1×Customer feedback / survey management platformmatches
  • 1×Customer feedback and survey platformmatches
  • 1×Customer feedback management / survey platformmatches

1 couldn't name one; 14 got it right.

Four separate measures, not stages: all 15 personas answered all four questions. Each square is one persona.

Additional signalBrand alignment11 of 15MixedShow finding ▸

Two points place the brand as mid-market SaaS still scaling up-market, lacking enterprise sales confidence signals. 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 humans
02

Fix these first

Fix these first

Three edits, in the order that matters.

The 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.

  1. Move the value proposition above the three plan cards.

    Why: What the product does surfaces only in the testimonials and the feature table, below the pricing. Put one sentence naming multichannel surveys plus AI theme clustering before the first price.

    6 of 15 raised this

    “There's no single sentence stating the problem - it's split across the hero line, feature bullets, and plan tables, so I had to stitch together "multichannel surveys" plus…” Show full quote
    “There's no single sentence stating the problem - it's split across the hero line, feature bullets, and plan tables, so I had to stitch together "multichannel surveys" plus "Data In/Out" plus "Research Hub" myself rather than being told it directly.”
    Research Lead, Digital Products · 501-1000 employeessimulated
    Moves Relevance
    Front-load the meaning

  2. Replace 'Custom' response and data point cells with ranges.

    Why: Pro and Enterprise show 'Custom yearly pool of responses' and 'Custom data points limit' in every cell, so no one can budget. Give starting volumes and the overage rate per response.

    8 of 15 raised this

    “the pricing tiers are a mess of "Custom" and "starts at" with no real number for Pro or Enterprise, and I can't tell from the comparison table what…” Show full quote
    “the pricing tiers are a mess of "Custom" and "starts at" with no real number for Pro or Enterprise, and I can't tell from the comparison table what actually happens to my existing Typeform workflows during migration - there's no mention of import/migration support anywhere on the page”
    Research Lead, Digital Products · 501-1000 employeessimulated
    Moves Differentiation
    Specifics beat superlatives

  3. Explain MCP in the banner instead of abbreviating it.

    Why: 'Introducing Survicate MCP: customer feedback, everywhere you work' asks readers to decode an abbreviation in the first line on the page. Say what it connects to in plain words.

    4 of 15 raised this

    “Mostly it's the jargon soup at the top — "Research Hub," "Research Assistant," "data points" — none of which are defined before you hit them, so you're guessing…” Show full quote
    “Mostly it's the jargon soup at the top — "Research Hub," "Research Assistant," "data points" — none of which are defined before you hit them, so you're guessing at what's a feature vs. a pricing unit vs. a module name.”
    Product Manager, SaaS · 51-200 employeessimulated
    Moves Clarity
    Plain language

Keep these · 3

These landed. Keep the wording when you edit around it.

  1. Keep · Value

    AI clustering of open-text responses is the capability respondents named as…

    “real multichannel distribution (in-app, mobile SDK, pop-ups) plus CRM-attribute targeting and the AI categorization actually cutting the manual tagging work my team does now. That's a real operational…” Show full quote
    “real multichannel distribution (in-app, mobile SDK, pop-ups) plus CRM-attribute targeting and the AI categorization actually cutting the manual tagging work my team does now. That's a real operational gain, not a nice-to-have.”
    Customer Experience Director, Fintech · 201-500 employeessimulated
  2. Keep · Value

    The Wellhub quote naming the clustering mechanism and response volume is the strongest…

    “the page gives me three named customers (Intergiro, Wellhub, Kard) with decent specifics like the Trustpilot jump from 4.2 to 4.8, which is the kind of proof that…” Show full quote
    “the page gives me three named customers (Intergiro, Wellhub, Kard) with decent specifics like the Trustpilot jump from 4.2 to 4.8, which is the kind of proof that makes me pay attention rather than skim past.”
    Research Lead, Digital Products · 501-1000 employeessimulated
  3. Keep · Differentiation

    The feature spec table gives buyers something concrete to compare

    “things like "Advanced Display Logic," "AI Follow-up Questions," "Answer Piping," and the integration count (25+ vs 44+) are specific enough that I could check them against a competitor's…” Show full quote
    “things like "Advanced Display Logic," "AI Follow-up Questions," "Answer Piping," and the integration count (25+ vs 44+) are specific enough that I could check them against a competitor's spec sheet.”
    Customer Experience Director, Fintech · 201-500 employeessimulated
03

All recommendations

Relevance

Weak8 of 14
Moves RelevanceProblem before solution

Add a problem-first line above the pricing tables.

Why: The page opens with 'Pricing loved for value, trusted for scale' — a claim about pricing, not the reader's problem. State the job first: collecting feedback across web, email and in-app, and turning open-text answers into themes.

6 of 15 raised this

“There's no single sentence stating the problem - it's split across the hero line, feature bullets, and plan tables, so I had to stitch together "multichannel surveys" plus…” Show full quote
“There's no single sentence stating the problem - it's split across the hero line, feature bullets, and plan tables, so I had to stitch together "multichannel surveys" plus "Data In/Out" plus "Research Hub" myself rather than being told it directly.”
Research Lead, Digital Products · 501-1000 employeessimulated
Moves RelevanceName the audience

Name the audience in the headline, not the logo wall.

Why: Readers had to infer who this is for from badges and testimonials. Move 'CX, Product, Research and Marketing teams' into the top headline so a research lead can point at it.

6 of 15 raised this

“There's no single sentence stating the problem - it's split across the hero line, feature bullets, and plan tables, so I had to stitch together "multichannel surveys" plus…” Show full quote
“There's no single sentence stating the problem - it's split across the hero line, feature bullets, and plan tables, so I had to stitch together "multichannel surveys" plus "Data In/Out" plus "Research Hub" myself rather than being told it directly.”
Research Lead, Digital Products · 501-1000 employeessimulated

Differentiation

Mixed10 of 15
Moves DifferentiationGive a reason to choose you

State the reason to choose Survicate above the plans.

Why: Nothing on the page separates this from a cheaper form builder with an analysis layer. Lead with the AI clustering of open-text responses — the capability readers named as the reason to switch.

8 of 15 raised this

“the pricing tiers are a mess of "Custom" and "starts at" with no real number for Pro or Enterprise, and I can't tell from the comparison table what…” Show full quote
“the pricing tiers are a mess of "Custom" and "starts at" with no real number for Pro or Enterprise, and I can't tell from the comparison table what actually happens to my existing Typeform workflows during migration - there's no mention of import/migration support anywhere on the page”
Research Lead, Digital Products · 501-1000 employeessimulated
Moves DifferentiationPlain language

Define 'data points' where the number first appears.

Why: '1,000 data points /mo' is a billing metric no first-time reader can price. Add a parenthetical saying what consumes one.

8 of 15 raised this

“the pricing tiers are a mess of "Custom" and "starts at" with no real number for Pro or Enterprise, and I can't tell from the comparison table what…” Show full quote
“the pricing tiers are a mess of "Custom" and "starts at" with no real number for Pro or Enterprise, and I can't tell from the comparison table what actually happens to my existing Typeform workflows during migration - there's no mention of import/migration support anywhere on the page”
Research Lead, Digital Products · 501-1000 employeessimulated

Value

Strong14 of 15
Moves ValueProof next to the claim

Attach a number to the time-savings claims outside testimonials.

Why: 'Give Survicate a test drive' and the feature bullets promise savings the testimonials alone substantiate. Put the clustering result — 2,000+ responses sorted into themes in a day and a half — next to the claim it proves.

4 of 15 raised this

“the page gives me zero proof points, no case study with numbers on time saved or response-rate lift, just testimonials like "twice as fast" with no baseline.”
Customer Experience Director, Fintech · 201-500 employeessimulated
Additional signal

Brand alignment

Mixed11 of 15
Moves Brand alignmentAnswer the live objection

Surface the enterprise trust features out of the bullet lists.

Why: 'SAML SSO, access logs', 'Custom ToS, DPA, and NDA' and 'On-demand security Q&A' sit buried at the bottom of identical bullet stacks, so the page reads as self-serve SMB. Give security and legal terms their own labelled row.

2 of 15 raised this

“The tone is written more for a mid-market ops/product manager than for someone at my level - lots of feature-listing and self-serve trial framing ("no card required," "10-day…” Show full quote
“The tone is written more for a mid-market ops/product manager than for someone at my level - lots of feature-listing and self-serve trial framing ("no card required," "10-day trial") which reads more startup-PLG than enterprise-sales. For a director signing off on integration risk, I'd want less "start free trial" and more "here's your dedicated CSM and here's who else at your scale uses this"”
Research Lead, E-commerce · 501-1000 employeessimulated
04

Buyer evidence

Biggest risks

A deliberately adversarial read of the same answers. Each claim was checked back against what the personas said and dropped if nothing supported it.

  • high

    Testimonials are doing the page's explanatory job, which means the copy the company wrote fails and the copy customers wrote succeeds.

    Six respondents say the audience is inferred from logos, badges and testimonials, and two state customer quotes conveyed the use case better than the header copy; the Wellhub quote is named the strongest asset by four.

  • high

    Pricing actively blocks the purchase decision rather than supporting it.

    Eight respondents cite endless Custom cells, no overage or ceiling numbers, and integrations gated without figures, calling it budgeting risk; two also note the value proposition sits below the pricing tables.

  • high

    The billing metric is undefined twice over — respondents can neither price it nor understand it.

    'Data points' appears as unexplained jargon respondents wanted defined in plain English and simultaneously as an undefined billing metric behind Custom cells, compounding opacity into a single unpriceable unit.

  • high

    The one capability respondents value is the one they refuse to believe.

    Four name AI clustering of messy text as the differentiating capability, yet three say that same claim only holds if proven on real messy data before they would migrate, and benefit claims outside testimonials carry no numbers.

  • high

    A reader must reverse-engineer the product from evidence artefacts before any message lands.

    Six report the problem statement is implied, scattered or absent, and four flag core terms — Research Hub, Research Assistant, MCP — used before explanation, with the headline called vague.

  • medium

    The page positions itself against Google Forms, not against enterprise buyers' alternatives.

    The clearest plain description offered was 'a beefed-up Google Forms', and two respondents read the brand as self-serve SMB SaaS lacking enterprise sales confidence signals — consistent with pricing that hides every enterprise number.

Relevance

  • The problem the product solves is never stated — it has to be inferred

    6 of 15

    “There's no single sentence stating the problem - it's split across the hero line, feature bullets, and plan tables, so I had to stitch together "multichannel surveys" plus…” Show full quote
    “There's no single sentence stating the problem - it's split across the hero line, feature bullets, and plan tables, so I had to stitch together "multichannel surveys" plus "Data In/Out" plus "Research Hub" myself rather than being told it directly.”
    Research Lead, Digital Products · 501-1000 employeessimulated
    See all 7 comments
    “The "customer feedback, everywhere you work" line and "4,000+ CX, Product, Research and Marketing teams trust us" told me who this is for pretty fast - it's the…” Show full quote
    “The "customer feedback, everywhere you work" line and "4,000+ CX, Product, Research and Marketing teams trust us" told me who this is for pretty fast - it's the same functional buyers as us. But the actual problem being solved is inferred from the feature list”
    Research Lead, Digital Products · 501-1000 employeessimulated
    “the tagline "Customer Feedback Platform. Survey and listen to your customers across every channel" at the bottom tells you what it is, but that's buried after all the…” Show full quote
    “the tagline "Customer Feedback Platform. Survey and listen to your customers across every channel" at the bottom tells you what it is, but that's buried after all the pricing and comparison tables, not up top.”
    Product Manager, SaaS · 51-200 employeessimulated
    “the closest thing to "who's it for" is the logo line "4,000+ CX, Product, Research and Marketing teams trust us"”
    Product Manager, E-commerce · 51-200 employeessimulated
    “the intended reader is never actually named — I had to infer "CX, Product, Research and Marketing teams" from a small trust-badge line buried near the top logos,…” Show full quote
    “the intended reader is never actually named — I had to infer "CX, Product, Research and Marketing teams" from a small trust-badge line buried near the top logos, not from any headline or subhead that says "built for X."”
    Customer Experience Director, SaaS · 201-500 employeessimulated
    “The "who's it for" part is inferred, not stated — the testimonials from a "Product Lead," "UX Research Lead," and "CRM Manager" tell me it's aimed at CX/Product/Research/Marketing…” Show full quote
    “The "who's it for" part is inferred, not stated — the testimonials from a "Product Lead," "UX Research Lead," and "CRM Manager" tell me it's aimed at CX/Product/Research/Marketing people”
    Product Manager, Media & Publishing · 51-200 employeessimulated
    “Problem's implied, not stated — I had to infer it from the feature list and testimonials rather than any single line telling me "here's the problem we solve."”
    Director of Product, Media & Publishing · 501-1000 employeessimulated

Differentiation

  • 'Custom' pricing cells and undefined usage units make the pricing page unusable for…

    8 of 15

    “the pricing tiers are a mess of "Custom" and "starts at" with no real number for Pro or Enterprise, and I can't tell from the comparison table what…” Show full quote
    “the pricing tiers are a mess of "Custom" and "starts at" with no real number for Pro or Enterprise, and I can't tell from the comparison table what actually happens to my existing Typeform workflows during migration - there's no mention of import/migration support anywhere on the page”
    Research Lead, Digital Products · 501-1000 employeessimulated
    See all 6 comments
    “if a competitor prices in plain "responses" and this one makes me guess what I'm actually buying, that opacity alone could knock it off the shortlist.”
    Product Manager, SaaS · 51-200 employeessimulated
    “the comparison table listing "44+ All" integrations for Pro versus "25+" for Growth with no explanation of which specific ones move (e.g. Salesforce, Amplitude are locked behind Pro)…” Show full quote
    “the comparison table listing "44+ All" integrations for Pro versus "25+" for Growth with no explanation of which specific ones move (e.g. Salesforce, Amplitude are locked behind Pro) would make me pause and check pricing carefully before shortlisting it seriously, since Typeform doesn't gate integrations that opaquely”
    Senior Product Manager, E-commerce · 201-500 employeessimulated
    “the pricing tiers gate half those integrations behind Pro/Enterprise with "Custom" pricing and no numbers — if Salesforce and Amplitude are Pro-only and Pro is "book a call"…” Show full quote
    “the pricing tiers gate half those integrations behind Pro/Enterprise with "Custom" pricing and no numbers — if Salesforce and Amplitude are Pro-only and Pro is "book a call" pricing, I can't compare it against a competitor's sheet”
    Director of Product, Media & Publishing · 501-1000 employeessimulated
    “the fine print in the comparison table - things like "1 dashboard" on Growth or "3 chats" for the AI Research Assistant feel stingy and vague on what…” Show full quote
    “the fine print in the comparison table - things like "1 dashboard" on Growth or "3 chats" for the AI Research Assistant feel stingy and vague on what a "chat" or a "data point" actually buys you, and the FAQ literally lists "How do you count datapoints?" as an open question”
    Customer Experience Manager, Fintech · 51-200 employeessimulated
    “Growth caps at 1,500 responses/mo before overage, and anything past that is "custom" behind a "Book a Call" wall — that's a red flag for predictable budgeting, and…” Show full quote
    “Growth caps at 1,500 responses/mo before overage, and anything past that is "custom" behind a "Book a Call" wall — that's a red flag for predictable budgeting, and I've been burned by "custom" pricing turning into a negotiation tax before.”
    Customer Experience Director, Digital Products · 201-500 employeessimulated

  • The feature spec table gives buyers something concrete to compare

    2 of 15 · what worked

    “things like "Advanced Display Logic," "AI Follow-up Questions," "Answer Piping," and the integration count (25+ vs 44+) are specific enough that I could check them against a competitor's…” Show full quote
    “things like "Advanced Display Logic," "AI Follow-up Questions," "Answer Piping," and the integration count (25+ vs 44+) are specific enough that I could check them against a competitor's spec sheet.”
    Customer Experience Director, Fintech · 201-500 employeessimulated
    See all 2 comments
    “It's a customer feedback / survey platform — basically a beefed-up Google Forms with multichannel distribution (email, web pop-ups, in-app, mobile SDK) plus some analysis layer on top”
    Director of Product, Media & Publishing · 501-1000 employeessimulated

Value

  • AI clustering of open-text responses is the capability respondents named as…

    4 of 15 · what worked

    “real multichannel distribution (in-app, mobile SDK, pop-ups) plus CRM-attribute targeting and the AI categorization actually cutting the manual tagging work my team does now. That's a real operational…” Show full quote
    “real multichannel distribution (in-app, mobile SDK, pop-ups) plus CRM-attribute targeting and the AI categorization actually cutting the manual tagging work my team does now. That's a real operational gain, not a nice-to-have.”
    Customer Experience Director, Fintech · 201-500 employeessimulated
    See all 4 comments
    “Cutting the time from "collect 2,000 open-text responses" to "have a themed, actionable summary" from days down to under an hour, reliably — if the Research Hub can…” Show full quote
    “Cutting the time from "collect 2,000 open-text responses" to "have a themed, actionable summary" from days down to under an hour, reliably — if the Research Hub can do that on my own messy data, not just Wellhub's, that's the whole pitch justified.”
    Product Manager, SaaS · 51-200 employeessimulated
    “we'd consolidate survey collection across email, in-app, mobile and web into one system with the Research Hub doing the clustering/analysis we currently do manually after exporting Typeform data…” Show full quote
    “we'd consolidate survey collection across email, in-app, mobile and web into one system with the Research Hub doing the clustering/analysis we currently do manually after exporting Typeform data — that's real time saved for my team”
    Senior Product Manager, E-commerce · 201-500 employeessimulated
    “Watching the AI actually cluster a batch of our own messy NPS/CSAT free-text responses into sensible themes with no manual cleanup - if that works on our data,…” Show full quote
    “Watching the AI actually cluster a batch of our own messy NPS/CSAT free-text responses into sensible themes with no manual cleanup - if that works on our data, not just their demo data, it's worth the switch.”
    Customer Experience Manager, Fintech · 51-200 employeessimulated

  • The Wellhub quote naming the clustering mechanism and response volume is the strongest…

    4 of 15 · what worked

    “the page gives me three named customers (Intergiro, Wellhub, Kard) with decent specifics like the Trustpilot jump from 4.2 to 4.8, which is the kind of proof that…” Show full quote
    “the page gives me three named customers (Intergiro, Wellhub, Kard) with decent specifics like the Trustpilot jump from 4.2 to 4.8, which is the kind of proof that makes me pay attention rather than skim past.”
    Research Lead, Digital Products · 501-1000 employeessimulated
    See all 3 comments
    “The customer quotes actually did more work than the header copy - Bruna Maia's line about clustering 2,000 responses into themes and the Trustpilot rating jump from 4.2…” Show full quote
    “The customer quotes actually did more work than the header copy - Bruna Maia's line about clustering 2,000 responses into themes and the Trustpilot rating jump from 4.2 to 4.8 told me more about the use case than the "Introducing Survicate MCP" banner did.”
    Customer Experience Manager, Fintech · 51-200 employeessimulated
    “The Wellhub quote about clustering 2,000+ responses into clear themes is the closest thing to a concrete before/after on the page.”
    Director of Product, Media & Publishing · 501-1000 employeessimulated

  • Benefit claims outside the testimonials carry no quantified proof

    4 of 15

    “the page gives me zero proof points, no case study with numbers on time saved or response-rate lift, just testimonials like "twice as fast" with no baseline.”
    Customer Experience Director, Fintech · 201-500 employeessimulated
    See all 4 comments
    “if a competitor's page has a named case study with a verifiable before/after number, that wins over this one by default, because right now Survicate is asking me…” Show full quote
    “if a competitor's page has a named case study with a verifiable before/after number, that wins over this one by default, because right now Survicate is asking me to trust a quote with no company link or methodology behind it.”
    Customer Experience Director, Fintech · 201-500 employeessimulated
    “I'd want to see how the AI categorization actually performs on messy open-text data before I trust it”
    Senior Product Manager, E-commerce · 201-500 employeessimulated
    “If it worked exactly as promised, I'd get multichannel collection plus the AI clustering (the Wellhub quote about 2,000 responses sorted into themes in a day and a…” Show full quote
    “If it worked exactly as promised, I'd get multichannel collection plus the AI clustering (the Wellhub quote about 2,000 responses sorted into themes in a day and a half) instead of manually tagging Google Forms exports myself — that's real time saved, if true.”
    Customer Experience Director, Digital Products · 201-500 employeessimulated

Clarity

  • Core product terms — 'Research Hub', 'Research Assistant', 'data points', 'MCP' — go…

    4 of 15

    “Mostly it's the jargon soup at the top — "Research Hub," "Research Assistant," "data points" — none of which are defined before you hit them, so you're guessing…” Show full quote
    “Mostly it's the jargon soup at the top — "Research Hub," "Research Assistant," "data points" — none of which are defined before you hit them, so you're guessing at what's a feature vs. a pricing unit vs. a module name.”
    Product Manager, SaaS · 51-200 employeessimulated
    See all 4 comments
    “The opening banner "Introducing Survicate MCP: customer feedback, everywhere you work" is jargon-first with no explanation of what MCP even is”
    Customer Experience Manager, Fintech · 51-200 employeessimulated
    “terms like "Research Hub," "data points," and "Research Assistant" are unexplained jargon I had to guess the meaning of rather than being told plainly what they do.”
    Senior Product Manager, Media & Publishing · 201-500 employeessimulated
    “"data points" vs "survey responses" as two separate pricing units is never actually defined anywhere I read. Those two units sitting side by side on the pricing cards…” Show full quote
    “"data points" vs "survey responses" as two separate pricing units is never actually defined anywhere I read. Those two units sitting side by side on the pricing cards without a plain-English distinction is what actually slowed me down.”
    Customer Experience Director, SaaS · 201-500 employeessimulated

Brand alignment

  • The page reads as self-serve SMB SaaS, not enterprise-ready

    2 of 15

    “The tone is written more for a mid-market ops/product manager than for someone at my level - lots of feature-listing and self-serve trial framing ("no card required," "10-day…” Show full quote
    “The tone is written more for a mid-market ops/product manager than for someone at my level - lots of feature-listing and self-serve trial framing ("no card required," "10-day trial") which reads more startup-PLG than enterprise-sales. For a director signing off on integration risk, I'd want less "start free trial" and more "here's your dedicated CSM and here's who else at your scale uses this"”
    Research Lead, E-commerce · 501-1000 employeessimulated
05

How this works

Who we simulated (15 personas)

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.

Customer Experience DirectorFintech · 201-500 employeesUS
Research LeadDigital Products · 501-1000 employeesEU
Product ManagerSaaS · 51-200 employeesUS
Senior Product ManagerE-commerce · 201-500 employeesEU
Director of ProductMedia & Publishing · 501-1000 employeesUS
Customer Experience ManagerFintech · 51-200 employeesEU
Customer Experience DirectorDigital Products · 201-500 employeesUS
Research LeadSaaS · 501-1000 employeesEU
Product ManagerE-commerce · 51-200 employeesUS
Senior Product ManagerMedia & Publishing · 201-500 employeesEU
Director of ProductFintech · 501-1000 employeesUS
Customer Experience ManagerDigital Products · 51-200 employeesEU
Customer Experience DirectorSaaS · 201-500 employeesUS
Research LeadE-commerce · 501-1000 employeesEU
Product ManagerMedia & Publishing · 51-200 employeesUS
Methodology

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.

Score details: the count and the strength

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:

  • Clarity: 15 of 15, 14 without hesitation, 1 with reservations
  • Relevance: 8 of 14, all with reservations
  • Value: 14 of 15, all with reservations
  • Differentiation: 10 of 15, all with reservations

These answers are AI-simulated and directional. Validate anything you’re betting on with real buyers, your ICPs.

Your next 3 moves

  1. 1.Move the value proposition above the three plan cards.
  2. 2.Replace 'Custom' response and data point cells with ranges.
  3. 3.Explain MCP in the banner instead of abbreviating it.

See what real buyers say.

A detailed, section-by-section message test report from verified B2B professionals who are actually in-market for what you sell.

Test with humans
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