Portfolio need
Portfolio Brand AI Health
Compare brand, category and competitor visibility across a portfolio without forcing every team into the same workflow.
— Enterprise
Multi-brand AI commerce, with the governance to match.
When a single name controls many brands, model behavior fragments across each one. Lantern gives portfolio operators one signal layer, with the workflow controls each brand demands.
Today · 09:14 ET
Brand portfoliosUnlimited
Custom prompt setsPer brand
Reporting cadenceConfigurable
StatusOpen for pilots
Portfolio need
Workflow fit
Shape review, approval, implementation and reporting rhythms around the teams that actually ship commerce changes.
Portfolio need
Governed action
Keep recommendations evidence-backed, permission-aware, and ready for the right internal or partner owner.
Portfolio need
Custom context
Start with the brands, categories, competitors and source constraints that shape how the portfolio is evaluated.
— Pilot shape
A pilot we can stand up in five steps.
Start narrow, learn the model behavior in your category, then expand by brand or by signal — not by feature count.
01
Scope
Start with 1–3 brands, one priority category, or a focused portfolio slice.
02
Prompt set
Define buyer questions across category, competitor, product and objection intent.
03
Evidence map
Trace source paths, citations, reviews, claims and owned-page gaps.
04
First queue
Package the first fixes with approval boundaries, owners, access and risk context.
05
Cadence
Review movement weekly or monthly against the same prompt and competitor set.
— Run the loop
See where AI recommends competitors. See what to fix first.
No store access. No signup. The first scan lands as a board-ready brief, not another dashboard.
ChatGPT · Claude · Gemini · Perplexity · Amazon Rufus
Bring one brand, one category, or the whole portfolio. Include the brands, categories, competitors, and internal owners you want Lantern to evaluate first.