Research

We earn the evidence.

Dala Forge will publish substantive research into the systems and business changes shaping AI-mediated recommendation.

Brand Transfer Gap

How authority behaves when a business enters a new category.

AI Recommendation Intelligence

How businesses are represented and recommended in AI-mediated decisions.

Digital Authority

How credible digital evidence contributes to business representation.

Business Expansion Signals

How real-world business changes create new visibility requirements.

Entity Clarity

How clearly a business, its categories and relationships are represented.

Recommendation Economics

The commercial implications of becoming more understandable and recommendable.

Evidence standard

No fabricated proof. Not once, not ever.

Until Dala Forge has genuine clients, the site will not use fake logos, fake testimonials, invented client results or unsupported “trusted by leading companies” claims.

Dala Forge itself is the first demonstration: build the digital presence, publish research, establish clear entity and category signals, then audit the representation.

Current status: Baseline measurement has not started yet. Dala Forge is still setting up the controlled prompt experiment described in the methodology — this line will update as that work progresses.
Research principle

AI outputs are observations, not absolute measurements of the web.

Controlled, repeatable queries, competitor comparisons, documented sources and dates, and measurement over time are part of the operating discipline.