How we get you recommended by AI — and how we prove it.
No black box. Here's the exact five-layer method we run to make your products the option AI shopping engines recommend, the two metrics we report, and why we'll never guarantee a citation.
The method
Five layers, in order.
Each builds on the last. Skip one and AI still skips you — which is why single-surface 'add schema' shops don't move the needle.
Rank + be crawlable first
~60–70% of getting cited by AI is still classic ranking and access. We make sure AI crawlers (GPTBot, PerplexityBot, Google-Extended, Amazonbot) can reach server-rendered content, then fix the SEO fundamentals AI engines lean on.
Catalog quality + machine-readable schema
AI agents read structured data, not homepages. We enrich the catalog and ship complete Product/Offer schema — GTIN, brand, availability, price, aggregateRating, shippingDetails, returnPolicy — so agents can actually compare and recommend your products.
Cross-surface coverage
One feed won't win five engines. We configure Shopify Brand Agents + Copilot Checkout, tune Amazon listings for Rufus/COSMO, and optimize for ChatGPT, Perplexity, Gemini and Google AI Overviews — as one program, not five vendors.
Off-site authority (the corroboration graph)
~87% of AI recommendations credit a third party. We build the reviews, editorial mentions, and community footprint AI assistants weight when deciding which brand to trust — because your own site claiming it isn't enough.
Measure revenue, not vanity
We track share-of-AI-shelf (how often you're recommended on your category's buying prompts) and AI-attributed revenue — dollars per AI channel — and report those. Never impressions.
Confused by the acronyms — ACP, UCP, AP2, MCP? Read the plain-English protocol decoder.
What we report
Share-of-AI-shelf. AI-attributed revenue. Nothing else headlined.
Two numbers a $100K–$10M operator can act on — baselined day one, trended monthly.
Share-of-AI-shelf
How often AI recommends your products versus named competitors across a panel of your category's real buying prompts. The number you watch climb.
AI-attributed revenue
Dollars traced to AI-sourced sessions — the ROI story, per channel. Because “more mentions” doesn't pay payroll.
Questions we get a lot.
How do you measure success?
Two headline metrics: share-of-AI-shelf — the percentage of your category's real buying prompts where AI recommends your products versus competitors — and AI-attributed revenue, the dollars traced to AI-sourced sessions. We baseline both, then report the trend. If a metric isn't revenue or citation rate, we don't headline it.
Why won't you guarantee a citation?
Because the engines are non-deterministic — the same prompt can return different answers, and no one controls their ranking. Any agency that guarantees a ChatGPT or Perplexity placement is selling false certainty. What we can do is show you three live prompts we've moved, run the work that measurably shifts the odds, and prove the trend over time.
How long until I see results?
Schema and catalog fixes are read by agents within days to a few weeks; authority and share-of-shelf compound over the first 60–90 days. We baseline on day one so you can see movement, not just take our word for it.
Is this just SEO with new vocabulary?
The ranking foundation overlaps, but the additions are real: catalog/feed quality, cross-surface coverage (Amazon + AI answers, not just Google), the off-site corroboration graph, and product-level share-of-AI-shelf measurement. If an agency can't explain those specifics, it's repackaging SEO — see our buyer's guide.
See where you stand — then watch the shelf move.
Run the free AI Shelf Check for your baseline, read the buyer's guide, and book a call when you want the plan. Live proof, published pricing, no lock-in.