How was the Soltech simulation run?

Rosalind Petrakis is a synthetic digital twin, a test buyer built from a real shopper profile. They worked through Soltech'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 Soltech's page?

No connection to the Aura design family. In the source simulation, the deck specifies two bridge sentences: Aspect is from the iF Award-winning Aura maker, and is in stock while Aura ships later.

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 are the three ranked conversion blockers identified in the Soltech simulation?

The three ranked findings are: (1) Missing connection to the Aura design family, (2) No Lighting Quiz before the call to action, and (3) 100-day guarantee is buried and not below the call to action.

What is the purchase intent score for Rosalind Petrakis on the Soltech page?

The purchase intent score is 44%, with only 4 out of 10 still buying at the end of the simulation.

How was the Soltech simulation run?

Rosalind Petrakis is a simulated buyer, built from real buyer data. They shopped Soltech'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 Soltech's page?

No connection to the Aura design family. In the source simulation, the deck specifies two bridge sentences: Aspect is from the iF Award-winning Aura maker, and is in stock while Aura ships later.

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 Soltech in 15 minutes.

Soltech Aspect Gen 2. A design-and-performance grow light that never connects itself to its own award-winning design family.

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Named simulated buyer on this trip: 1; Named simulated buyer on this trip
Still buying at the end: 4/10; Still buying at the end
Purchase intent: 44; Purchase intent
Ranked things to fix: 3; Ranked things to fix

What happened

Human visitors cannot connect Aspect to its own design heritage

soltechsolutions.com

The finding

Who: Rosalind Petrakis, simulated buyer evaluating a premium grow light
Their words: “This looks like a nice lamp, but nothing tells me it's from the same design family as Aura, or why $200 is worth it over a basic grow bulb.”
How many: One named buyer
Where: The product description
The fix: Say Aspect comes from the iF Award-winning Aura maker

The buyer

Rosalind Petrakis

Simulated buyer evaluating a premium grow light

Wants design credibility before paying $200 for a grow light.

Patience

Price sensitivity

Research depth

Purchase intent44%

Why this score

Differentiation is the combination of plant performance and design, an Aura and iF Award heritage, sustainability, and commercial installation proof, not simply an app-enabled grow bulb.

The $200 price anchor is unresolved because the design credibility behind it is never stated.

In the source simulation, the deck separates a possible 30 to 45 percent bot or invalid-traffic issue from modeled human page friction. Human visitors could not connect Aspect to Aura, verify plant fit, sustainability, or commercial proof, see a current-model reassurance, find a gift or budget path, or get a Lighting Quiz before facing the $200 anchor.

Fix these

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

01
Missing
No connection to the Aura design family
In the source simulation, the deck specifies two bridge sentences: Aspect is from the iF Award-winning Aura maker, and is in stock while Aura ships later.
02
Missing
No Lighting Quiz before the call to action
Placing the quiz above the call to action helps a buyer confirm fit before facing the $200 price.
03
Buried
100-day guarantee is not below the call to action
Risk reversal at the exact decision point counters the price anchor without a discount.

eLLMo AI ran this simulation on the public soltechsolutions.com 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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