How was the Medterra simulation run?

Renata Ibarra is a synthetic digital twin, a test buyer built from a real shopper profile. They worked through Medterra'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
Medterra in 15 minutes.

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

Star rating and review count sit directly under the title. A five figure review count and a strong star rating appear before any product detail. A buyer who leads with trust, not formula, gets her answer in the first second on the page.

Medterra Deep Sleep CBD and THC Gummies. One named test buyer on the live product page. Ranked reasons trust signals closed the sale.

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Medterra

Renata Ibarra

Desktop · Medterra Deep Sleep Gummies

Purchase intent78%

Named test buyer on this trip

8/10

Still buying at the end

Purchase intent

Ranked things to fix

Subscribed on the first visit

medterracbd.com

Why this score

She came in comparing three CBD sleep gummies and needed proof before she trusted any of them with her sleep. This page put that proof in front of her before she had to look for it.

The page wins on proof, not on formula.

She landed on the Deep Sleep listing and saw the star rating and review count immediately under the title, before she had read a single ingredient. She compared the one-time price to the subscribe and save price, saw the savings and the cancel anytime line, and chose the subscription without leaving the page to check reviews elsewhere.

Fix these

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

Present

Star rating and review count sit directly under the title

A five figure review count and a strong star rating appear before any product detail. A buyer who leads with trust, not formula, gets her answer in the first second on the page.

“1,755 reviews and a doctor said it works. That's enough for me to try the subscription.”

Present

Subscribe and save price sits next to the one-time price

The subscription price sits right beside the one-time price, with cancel anytime and free shipping named in the same block. The buyer never has to hunt for the better deal.

Present

Doctor endorsement appears before the ingredient list

In the source simulation, this signal closed the sale for a buyer who trusts a credential more than a formula. Naming it before the ingredient panel matches how she actually decides.

Weak

Guarantee length is not named near the price

A return or guarantee window is not visible in the same block as price and reviews. A buyer who is still not sure could use one more trust signal at the exact moment she decides.

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.

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

Request a simulation How it works