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Research

Our team comes from AI interpretability, the field that studies why models behave the way they do.

01 / arXiv 2605.27440

Changing one word in a prompt changes which brands AI chooses

Rewording a prompt without changing its meaning changes which brands agents choose, often more than simply asking again. In our CRM study, only 16 of 100 synonym-swapped prompt pairs returned the same vendors.

That makes most prompt-tracking metrics a measure of the prompts someone chose. Read the CRM study

Paraphrase Brittleness in Production Retrieval-Augmented Commercial Recommendation: Reproducibility Below the Rerun-Stability BaselineRead the paper

What CRM has the beststrongest workflow automation?

02 / arXiv 2605.30207

AI chooses different brands depending on who is asking

The same question from a different buyer gets different brands. Mid-market brands are especially sensitive to who is asking, so a single generic prompt can hide where you win and where you vanish.

Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider AuditRead the paper

I’m a solo founderan enterprise IT leada nonprofit directorWhich tool should we buy?

Category leaders
Mid-market
Long tail

03 / arXiv 2606.26116

Different AI models agree on a brand’s weaknesses but disagree on its strengths

When a brand falls out of consideration, ChatGPT and Claude converge on the reasons why, even when they choose different brands. Those shared reasons are what a brand can actually fix.

Divergent Recommendations, Convergent Diagnoses: Cross-Provider Failure-Mode Convergence in AI Commercial RecommendationRead the paper

ChatGPT chooses Brand ABrand DBrand KClaude chooses Brand HBrand RBrand E

Both rule brands out for no public pricinga missing integrationan unclear use case

04 / arXiv 2605.27439

Why AI passes over a brand depends on how well known it is

Across 37,000 runs, category leaders needed differentiation to stay chosen, and smaller brands struggled to be discovered at all.

Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run AuditRead the paper

LeadersMid-marketSmaller brandsfail at being chosenbeing consideredbeing found

FoundConsideredChosen
Leaders
Mid-market
Smaller brands