
Lumenario
Lumenario is an AEO team delivered as software that finds where AI overlooks your brand, publishes approved knowledge, and measures the results.
AI & Machine Learning·Analytics·Marketing
What is Lumenario?
Lumenario is an AEO (answer engine optimization) team delivered as software. Its agents scan search data, AI prompts, and customer questions to find where AI systems overlook your brand, then research and verify the knowledge needed to fill those gaps. Approved work is published and results are measured against a defined baseline, with your team approving what goes live.
The platform is aimed at brands that want to improve how AI platforms such as ChatGPT, Perplexity, Claude, and Google AI Overviews describe and recommend them. Lumenario hosts generated knowledge assets on a dedicated subdomain of the brand's own domain, so IT teams are not asked to make code changes to the primary website. The page describes this as zero IT integration and a one-click sandbox.
What sets Lumenario apart, according to the page, is its human-in-the-loop brand control. Assets are grounded in approved product facts, evidence, compliance, and positioning rules, and the team keeps final say over brand claims. The page also offers a free AI Visibility Report that shows how AI systems currently understand a brand, including misrepresentation checks, competitor recommendation analysis, and a product-level query opportunity map.
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we knew exactly what videos we were going to upload to the paid ads dashboard because we had validated it all organically so we were spending smarter and this is our four-step scaling process in order to optimize your paid ads everything is a funnel
Launch Paid Ads Only Against Videos That Already Proved Themselves Organically
When Steven launched paid ads for Puff Count, he only uploaded videos that had already proven themselves organically. That validation step let him spend confidently and hit profitable cost-per-click numbers from day one of the campaign.
If you stacked up all the time on iteration between activation in the product and using our product and levers that we know are correlated to workout completions versus iteration on deals it would probably be 90% product 10% deals.
Spend 90% on Product Activation, 10% on Discounts — The Ratio Matters
Greg's team allocation ratio is a useful benchmark: 90% of iteration effort on product activation (increasing the percentage of users who complete their first and second workout) and only 10% on discount and coupon mechanics. Most teams invert this, mistaking conversion-rate lifts from price cuts for product-market fit. The activation-first approach builds durable retention; discount-first builds churn-prone cohorts.
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