How was the TrueNutrition simulation run?

Dev Okonkwo is a synthetic digital twin, a test buyer built from a real shopper profile. They worked through TrueNutrition'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
TrueNutrition in 15 minutes.

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

Exact amino-acid values and testing are stated plainly. This is the specific evidence an analytical buyer used to trust the product over a more polished, personalized competitor.

TrueNutrition Whey Protein Isolate. Analytical confidence, not price alone, wins three of Gainful's adjacent buyers.

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TrueNutrition

Dev Okonkwo

Desktop · TrueNutrition Isolate

Purchase intent52%

Named test buyer on this trip

5/10

Still buying at the end

Purchase intent

Ranked things to fix

Wins 3 of 20 Gainful-adjacent buyers

truenutrition.com

Why this score

TrueNutrition earns trust through a 16-amino-acid profile, exact values, visible core ingredients, and stated third-party testing, even with a utilitarian visual story.

Analytical proof wins the price-sensitive buyer. It does not displace the personalized, lifestyle buyer.

In the source simulation, TrueNutrition won three price-sensitive Gainful-adjacent buyers through analytical confidence, but did not displace the direct personalized or lifestyle buyer who wants Gainful's quiz and Flavor Stix.

Fix these

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

Present

Exact amino-acid values and testing are stated plainly

This is the specific evidence an analytical buyer used to trust the product over a more polished, personalized competitor.

“16 amino acids listed with exact values and third-party testing. I don't need a nicer photo, I need this level of detail.”

Weak

No personalization or lifestyle differentiation

Buyers who want a quiz-matched, flavored, subscription experience are not addressed by this positioning.

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