How was the Carpe simulation run?

Felix Ndiaye is a synthetic digital twin, a test buyer built from a real shopper profile. They worked through Carpe's live product page with a goal to buy, and every point where they hesitated or moved on is recorded in this report.

Who is this built for?

The ranked findings report is built for a design team, the buyer-level briefs for a copy team, and the buyer map as the starting point both teams work from.

eLLMo AI runs test buyers against a product page before a brand spends a dollar on ads, and audits whether AI engines like ChatGPT and Perplexity can find and recommend a brand. Both come back as a ranked list of fixes, not a grade.

How do I get a report like this for my own page?

Book a demo at tryellmo.ai. Most teams get first findings on their own product page within 15 minutes of sharing it.

How is an eLLMo simulation different from real user research?

eLLMo buyer simulations run in 15 minutes, require no participant recruitment or scheduling, and are matched to the customers you actually sell to before any live traffic is committed.

Does eLLMo offer a free way to start?

Yes. See current plans on the pricing page.

Example simulation report

What eLLMo finds on
Carpe in 15 minutes.

Q: What is the single biggest fix on Carpe's page?

No guarantee visible near the call to action. In the source simulation, this affected 14 of 20 buyers, the largest single blocker on the page.

Carpe Underarm Antiperspirant. A real premium product that converts 3 of 20 test buyers because trust, not price, is missing.

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Carpe

Felix Ndiaye

Desktop · Carpe Antiperspirant

Purchase intent40%

Named test buyer on this trip

3/10

Still buying at the end

Purchase intent

Ranked things to fix

Converts 3 of 20, none hard-bounce

mycarpe.com

Why this score

Carpe scores 5.4 out of 10 and converts 3 of 20 simulated buyers. None hard-bounce, which points to real product resonance, not category rejection.

Buyers like the product. They do not trust the page enough to pay the premium.

In the source simulation, a guarantee was absent near the call to action for 14 of 20 buyers, an anonymous dermatologist claim affected 12 of 20, and a hidden subscription price affected 10 of 20. Buyers also wanted an explanation of the active ingredient, a named credential, consolidated review proof, and a clear answer to Secret Clinical's lower price and 100-hour claim.

Fix these

Two jobs on page 1. Why still buying ended where it did, then what to ship this week.

Missing

No guarantee visible near the call to action

In the source simulation, this affected 14 of 20 buyers, the largest single blocker on the page.

“It's a dermatologist-formulated claim, but there's no name attached. I can't tell if that's a real credential or just marketing.”

Adds friction

Dermatologist claim has no named credential

12 of 20 buyers noticed the claim was anonymous. A named dermatologist or credential turns a marketing line into evidence.

Buried

Subscription price is hidden

10 of 20 buyers could not find the subscription savings before deciding.

Missing

No direct answer to Secret Clinical's lower price and 100-hour claim

A DTC premium is defensible only when risk reversal, named authority, and a clear value comparison are present at the point where price is judged.

What every simulation ships

A buyer map, ranked findings, and briefs you can use today.

Every simulation ships a buyer map, ranked findings, and briefs designed to land in your design brief, copy brief, and stakeholder deck.

Starting point

Ideal customer profile

A precise buyer map built from your brand, your product, and your competitive landscape. Easy for your team and AI writing tools to use.

Ship to design team

Ranked findings report

Sales problems ranked by reach and revenue impact. Each one traces to a specific buyer type and a specific page element.

Ship to copy team

Buyer-level briefs

Buyer-perspective narratives for each type's decision journey. Paste directly into your creative brief or into any AI tool.

Questions & answers

Common questions about this report

This is a summary independent analysis by eLLMo AI, built from public data and our synthetic digital twins.

Request a simulation

Same method. Your product page. First findings about 15 minutes after the brief is in.

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