Get AI to recommend your products more often.
Lantern shows where ChatGPT, Perplexity, Claude, and Gemini recommend competitors instead of you, explains why, and gives your team the exact product-page, content, and source changes that can help you win those answers.
Enter your ecommerce URL to start
See where AI recommends competitors and what to improve first.
The model already named the shortlist. Here is yours, today.
Lantern runs your tracked prompts daily across ChatGPT, Claude, Perplexity, Gemini and Amazon Rufus — and records the answer down to its citation chain.
Every lost answer carries its evidence chain.
When the model names a competitor, Lantern's Citations surface records which URL was cited, by which provider, under which query — down to a Citation Score per URL and a 30-day trend.
Recommendations staged by horizon, not by feature flag.
Every change Lantern proposes lands in one of three queues: Immediate this week, Long-term next quarter, Applied with the observed Brand Health delta tied to it.
Ship this week.
Small, owned-page recommendations: schema, FAQ, comparison blocks, product-feed gaps. Each one scoped, with a named owner.
- Add comparison block to /collections/whole-bean+4 Vis
- FAQ schema on the brewing-guide cluster+3 Cit
- Trustpilot embed on the storefront homepage+5 Fav
Compounds over months.
Source-building, partner, PR and category-content work that compounds the citation graph over a quarter or more.
- Claim & fill the Wildgrain Wikipedia article+12 Auth
- Pitch Sprudge for the 2026 subscription roundup+8 Cit
- GuildOfCoffee origin-stories partner content+6 Auth
What you already shipped.
Each Applied recommendation is tied to the Brand Health delta it produced — your team's audit trail.
- Brewing-guide cross-links+2.4 BH
- PDP FAQ schema · single-origin+1.8 BH
- Comparison-page rewrite+3.1 BH
Did the answer actually move?
After every Applied recommendation, Lantern re-runs the same prompt cluster across the same five providers and ties the Brand Health delta back to the change that produced it.
One Brand AI Health number, ten surfaces underneath it.
Learn the language of agentic commerce.
Agentic commerce, in plain language
What an AI shopping agent is, why ChatGPT and Claude became the new shelf, and how the loop differs from SEO.
12 min read →BenchmarkThe AI commerce performance benchmark — Q1 2026
Average Visibility, Favorability and Citation Score across 200 DTC brands — and the widening gap between leaders and laggards.
14 min read →MethodologyHow Lantern scores Brand AI Health
The composite formula. Why Visibility, Favorability and Citation Score are weighted across Website Signals, Brand Reputation and Content Strategy.
10 min read →GuideMake product pages legible to AI shopping agents
PDP, schema, feed and FAQ patterns the Catalog and Content agents prioritize. Before / after with schema snippets and a closing checklist.
11 min read →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.
Enter your ecommerce URL to start
See where AI recommends competitors and what to improve first.