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.

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.

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.

What conversion rate did the Diggs Evolv crate achieve in the simulation?

The Diggs Evolv crate converted 2 of 20 test buyers, resulting in a 10% conversion rate in the simulation panel.

What was the purchase intent score for the Greta Lindqvist buyer persona?

Greta Lindqvist had a purchase intent score of 42%, indicating moderate likelihood to purchase despite design appeal.

What are the three ranked fixes for the Diggs product page?

The three ranked fixes are: (1) Add an above-fold safety claim highlighting paw-safe rounded steel, ClickLock security, and escape-tested strength; (2) Move review count and starting price near the call to action with return and shipping information; (3) Add a premium-versus-wire-crate comparison table showing the value of the $245 to $300 price point.

How was the Diggs simulation run?

Greta Lindqvist is a simulated buyer, built from real buyer data. They shopped Diggs's live product page with a goal to buy, and every point where they hesitated or moved on is recorded in this report.

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.

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 sends simulated buyers, built from real buyer data, through 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?

Start free at tryellmo.ai, or book a demo. 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.

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

Start free Book a demo How simulations work

Named simulated buyer on this trip: 1; Named simulated buyer on this trip
Still buying at the end: 3/10; Still buying at the end
Purchase intent: 42; Purchase intent
Ranked things to fix: 3; Ranked things to fix

What happened

Converts 2 of 20 despite strong design appeal

diggs.pet

The finding

Who: Greta Lindqvist, simulated buyer on a live dog-crate page
Their words: “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.”
How many: One named buyer
Where: Above the fold, where no safety claim appears
The fix: Add a three-claim safety strip: paw-safe rounded steel, ClickLock cannot be opened from inside, escape-tested strength

The buyer

Greta Lindqvist

Simulated buyer on a live dog-crate page

Needs escape-proof evidence before trusting a crate with her puppy.

Patience

Price sensitivity

Research depth

Purchase intent42%

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

Ranked by how much each one cost the sale. The first one explains where still buying ended.

01
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.
02
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.
03
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.

eLLMo AI ran this simulation on the public diggs.pet product page, with simulated buyers built from real buyer data.

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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

Buyer map

Who your buyers are and how they shop, built from your brand, your product, and your competitors. Ready for your team and your AI writing tools.

Ship to design team

Ranked findings

Every problem ranked by how many buyers hit it. Each one names the buyer, their words, and the spot on the page.

Ship to copy team

Buyer briefs

How each buyer made their decision, in their own words. Paste them into your creative brief or any AI tool.

Questions and answers

Common questions about this report

Run it on your own product page.

Same method, your product page. First findings in 15 minutes.

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