What we do

Three ways we close the recommendation gap.

We move from representation assessment to hands-on implementation and ongoing measurement.

01 / AI Visibility Audit

See how your company is actually represented.

We assess entity clarity, authority, evidence, digital footprint, AI representation, recommendation visibility and competitive position — including the competitive research, category intelligence and business-change signals that explain why the gap exists.

02 / AEO Implementation

We don't leave you with a report.

We work alongside your team to structure information, improve digital properties, develop credible evidence, strengthen category positioning, fix entity inconsistencies and implement structured data — while the client remains the owner and operator of the brand.

03 / AI Recommendation Monitoring

Know when the recommendation changes.

We establish ongoing monitoring of how AI systems describe and recommend your company, track competitive movement, and measure whether the implementation actually changed the outcome over time.

Operating boundary

Your team owns the brand. We provide the intelligence and implementation layer.

Dala Forge works alongside client teams. The client remains the owner and operator of the brand and its channels.

01DiscoverBusiness change creates the reason to investigate representation.
02UnderstandEvidence and representation are mapped before recommendations are made.
03ImplementActions are prioritized and executed with the client team.
04MeasureChanges are documented and monitored over time.
Future architecture

Software comes later.

The Audit, Implementation and Monitoring work above is delivered as a service today. As Dala Forge matures, parts of it — measurement, tracking, reporting — may become software. That isn't presented here as an existing product, only as the current documented work.

Your reputation already exists.

The question is whether the systems helping your customers decide can understand it.