Bloom Jewelry · DTC fine jewelry
From zero AI citations to cited alongside Vogue and Forbes.
30 days earlier, the brand was invisible. Now it shows up when shoppers ask Claude and Google AI which jewelry brands to consider.
Published May 9, 2026 · thebloomjewelry.ca
On the highest-volume commercial query in the category
Cited by Claude. Cited by Google AI Overviews.
Before
Zero citations across thirty buyer queries on five AI engines. The brand showed up exactly once, on a search for its own name, where the engine surfaced negative third-party reviews above the brand’s own site.
That was the starting line.
After
Cited by Claude. Cited by Google AI Overviews. Sitting in the source list alongside Vogue, Forbes, Glamour, and PureWow on the highest-volume commercial query in the category.
The page that earned it did not exist 30 days earlier.
How
Phase 1. Foundation.
Make the site readable to AI. Schema, knowledge graph, the structured signals engines retrieve when they decide what to cite.
Outcome: machine-readable across every page type. Indexed in the same knowledge graph as the brands AI was already citing.
Phase 2. Citation-engineered content.
Long-form pages built for the queries buyers actually type into AI, not for old-school Google ranking. Each one structured so an engine can lift a passage and cite it directly.
Outcome: within two weeks, Claude and Google AI Overviews were returning these pages as sources on commercial queries the brand had been invisible for at the start.
Phase 3. Reputation in AI.
Reviews are now an AI problem, not just a star-rating problem. Negative reviews on Trustpilot, Reddit threads, mistaken-identity mentions on third-party sites. All of it gets pulled into AI synthesis when a buyer asks about the brand. Most founders never see what AI is actually saying about them.
We audit it, identify what is causing the drag, and mitigate it across the surfaces the engines pull from.
Outcome: the brand-name answer in AI shifted from “mixed reviews, customer service complaints” to the brand’s own factual content surfaced first.
About ANTE
ANTE is built by a founder deep in AI. Constantly coding, constantly testing.
Everything we ship to clients gets tested on our own DTC brand first. It has to work there before it gets adapted into the methodology and deployed for a client. The methodology is what we ship.
We move at the speed AI is moving. Schema standards shift. Citation patterns change. New engines come online. The agencies still selling 2018 SEO are running yesterday’s playbook against today’s problem.
The brands that adapt now are the ones that stay in the answer. The brands that wait are the ones that have years of catching up to do, while the early movers compound.
Want to talk?
If you’re doing $1M+ in revenue, we’re taking on a small number of DTC brands and offering the first month free. No contract. No annual lock. You’re free to walk at any point.
Get started
Two-month trial at $3K/mo. Walk away after.
Trial pricing for months 1-2, then $5K/mo standard. No contract, no annual lock. If it is not working at the end of month 2, you walk. The work product is yours either way.