Findability
30%Are you surfaced or cited for real buyer queries across AI engines?
FlatRelay · AI visibility for product-and-quote B2B
Your buyers ask AI for supplier shortlists before they ever reach your inbox. FlatRelay makes AI find, read, and act on your business correctly.
AI Visibility Score
Across five weighted pillars
Optimized for every engine your buyers actually use.
Most B2B sites are built for human readers. AI buyers need more. We structure your presence across three capabilities, in order.
Get surfaced.
We make your business discoverable and citable when buyers ask AI for suppliers, comparisons, and shortlists, so you appear in the answer instead of being left out of it.
Covers: buyer-query coverage, source pages, citations, crawlability, internal linking.
Get understood.
We turn human-readable pages into machine-readable structure (specs, MOQs, certifications, lead times, and use cases) so AI describes your offer accurately instead of guessing or blurring it.
Covers: page structure, spec and comparison pages, product/entity graph, FAQs, llms.txt, structured-data markup.
Get acted on.
We make your commercial logic (quotes, volume tiers, delivery, and compliance) readable to AI-assisted buyers and future agents, so interest can move toward a real RFQ.
Covers: quote-readiness, RFQ flow, delivery and volume logic, the Agentic Transaction Blueprint.
When a buyer asks an AI assistant to recommend a supplier, the response is a shortlist with reasons. If your business is structured for AI, you're in it, with your certifications, specs, and capabilities cited correctly. If it isn't, your competitor is.
Best ISO-certified aluminium extrusion supplier for low-volume prototyping in Southeast Asia?
Based on certifications, minimum order quantities, and lead times, three suppliers fit low-volume prototyping in the region:
Illustrative example. We run your real buyer queries during the Audit and show you exactly where you stand today.
The Score
The FlatRelay AI Visibility Score rates your business from 0 to 100 across five weighted pillars. It's defined, repeatable, and re-run monthly, so progress is measurable, not a matter of opinion.
Are you surfaced or cited for real buyer queries across AI engines?
Can AI parse your offers, specs, services, and constraints?
JSON-LD, entity/product graph, llms.txt, crawlability.
Reviews, certifications, third-party citations, authority.
When cited, are you framed positively against competitors?
| Pillar | What it measures | Weight |
|---|---|---|
| Findability | Are you surfaced or cited for real buyer queries across AI engines? | 30% |
| Readability | Can AI parse your offers, specs, services, and constraints? | 20% |
| Structured data | JSON-LD, entity/product graph, llms.txt, crawlability. | 20% |
| Trust signals | Reviews, certifications, third-party citations, authority. | 15% |
| Recommendability | When cited, are you framed positively against competitors? | 15% |
Your website looks credible. The catalog, the certifications, the quote process all make sense to a human reading top to bottom.
The same specs, trust signals, and quote logic aren't in a form it can retrieve and reuse. The gap isn't quality. It's structure, and that gap is exactly what the Score measures and what we fix.
The moat · AI Transactability
Being found is the start. The Agentic Transaction Blueprint makes your commercial reality, what you can fulfil, at what volume, under what constraints, and how fast, readable to AI-assisted buyers and the agents coming after them. It's the part competitors can't easily copy, because it's built from your own quote and delivery logic. And it's operational now, not a someday concept.
quote-ready summary
500 units, EU delivery in 10 days, volume price confirmed, ISO + REACH met. Routable to RFQ.
If buyers shortlist you on specs, certifications, and the ability to fulfil, this is for you.
make catalogs, specs, and tolerances machine-readable.
get cited for cross-border supplier and certification queries.
turn capability and compliance into AI-retrievable proof.
make product data and availability readable for AI-assisted buying.
We test your real buyer queries across the major AI engines, benchmark you against the competitors AI currently cites, and score you across the five pillars. You get a clear picture and a remediation roadmap.
We fix what the Audit found: structure, content, schema, trust signals, and llms.txt, across Visibility and Readability first.
AI answers change. We re-run your Score monthly, track competitor drift, and keep your business in the answer over time.
SEO got you ranked on Google. This is about being cited and recommended inside AI answers, a different retrieval mechanism. We carry over the SEO fundamentals that still matter (crawlability, structure, internal linking) and add what AI needs: machine-readable specs, entity/product structure, llms.txt, and structured data.
Yes. During the Audit we run your real buyer queries across ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google's AI surfaces, and show you, with the actual prompts and answers, whether you're cited, ignored, misunderstood, or out-ranked.
Usually not. Most of the work is restructuring and adding what AI needs to read you correctly: content structure, spec and FAQ pages, schema, and llms.txt, on top of your existing site.
It works because of structure and proof, not brand size. Clear specs, certifications, and machine-readable trust signals are exactly what AI uses to recommend a supplier confidently.
The AI Visibility Audit + Score: a fixed buyer-query test, a competitor benchmark, your 0 to 100 Score across five pillars, and a remediation roadmap. From there, implementation and monthly monitoring are optional next steps.
The Audit is fast. Most visibility and readability fixes land within a focused Visibility Sprint (around 30 days); monitoring then tracks the change month over month.
Get your AI Visibility Score and a clear roadmap to being found, understood, and quoted.