How was the Diggs simulation run?

Greta Lindqvist is a synthetic digital twin, a test buyer built from a real shopper profile. They worked through Diggs'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
Diggs in 15 minutes.

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

No above-fold safety claim. In the source simulation, the deck specifies a three-claim safety strip: paw-safe rounded steel, ClickLock cannot be opened from inside, and escape-tested strength.

Diggs Evolv crate. A premium safety product that converts 2 of 20 test buyers because the safety story is buried, not because the price is wrong.

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Diggs

Greta Lindqvist

Desktop · Diggs Evolv

Purchase intent42%

Named test buyer on this trip

3/10

Still buying at the end

Purchase intent

Ranked things to fix

Converts 2 of 20 despite strong design appeal

diggs.pet

Why this score

2 of 3 design-first buyers convert, but anxious puppy parents, large-breed replacements, comparison shoppers, travelers, gift buyers, and multi-dog households cannot find capacity, escape-proof evidence, returns, or price on the page.

This is a decision-architecture problem, not a price or product problem.

In the source simulation, the panel converted only 2 of 20 overall, although 2 of 3 design-first buyers converted. The gap was decision architecture: buyers could not find capacity, escape-proof evidence, return terms, price entry, or the right next product for their situation.

Fix these

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

Missing

No above-fold safety claim

In the source simulation, the deck specifies a three-claim safety strip: paw-safe rounded steel, ClickLock cannot be opened from inside, and escape-tested strength.

“I can't tell if this is actually safer than a wire crate, or just better looking. I need to know it can't be opened from the inside.”

Buried

Review count and starting price are not near the call to action

Moving review count beside the title and Starting at $245 below the call to action, alongside 30-day free returns and free shipping, answers the first three questions a buyer has.

Missing

No premium-versus-wire-crate comparison

A six-row comparison table against wire and premium-wire crates lets a buyer see what the $245 to $300 price actually buys.

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.

Request a simulation How it works