AI visibility for manufacturing

Manufacturing buyers rarely start with a brochure. They start with a question. "Who makes food-grade stainless valves in the UK?" "Which contract manufacturer handles low-volume PCB runs?" "What is the lead time on injection-moulded parts?" Increasingly that question goes to an AI engine, not a search box.

The shift is real. Conductor reports that 37% of consumers now start their searches with AI rather than Google (Conductor, 2025), and 94% of B2B buyers now use AI as part of their purchasing research. In a sector where a single contract can run for years, being absent from those answers is expensive.

The engine does not read your sales deck. It reads your datasheets, your accreditation listings, your entries in trade directories, the standards you cite, and what distributors and review sites say about you. If a competitor's specifications are clearer and better referenced, the engine names them and skips you.

Google AI Overviews now appear on the majority of searches, which means a procurement researcher often gets an answer without ever reaching a supplier website. Similarweb found that 69% of Google searches end without a click (Similarweb, 2024). The answer is the shop window now. You need to be inside it.

It is worth being clear about who is asking. In manufacturing the AI query rarely comes from a casual browser. It comes from a design engineer scoping a build, a buyer screening the market, or a quality manager checking whether a supplier holds the right approvals. These are informed users who phrase their questions in the language of the trade. The engine answers in that same language, drawing on whatever technical evidence it can find. If your competitor has published a clean capability matrix and you have not, the engine has more to work with on their side.

There is also a long tail at play. Buyers do not just ask the obvious questions. They ask about edge cases: unusual materials, tight tolerances, small batch runs, specific certifications for regulated industries. Each of those is a prompt you can win or lose. A manufacturer who has documented a niche capability clearly can dominate the answer for that niche, even against larger rivals who never wrote it down.

AI engines cite manufacturers that are easy to verify and easy to quote. In a technical sector that means precise specifications, recognised accreditations, and a clear account of what you make and for whom. The Known & Cited framework scores this across three dimensions.

• AI Visibility (40%). How often the engines name you when a buyer asks for a supplier, a capability or a part. We test the prompts a real procurement team would use, by process, material and tolerance, and record where you appear and where a rival does instead.
• Source Quality (30%). Whether the evidence behind your name is strong. Datasheets with clear tolerances, ISO and sector accreditations, standards references, distributor listings and independent reviews all carry weight. A PDF spec sheet the engine can read beats a glossy image it cannot.
• Narrative Fit (30%). Whether the story the engines tell about you matches what you want buyers to believe. If you want to be known for precision aerospace work but the web frames you as a general fabricator, the engine repeats the wrong frame. We measure that gap.

Most manufacturers score well on one dimension and poorly on another. A firm with excellent accreditations can still be invisible if its capabilities are buried in unreadable PDFs. We find which dimension is holding you back, then fix that first.

We run your business through the three engines that matter: ChatGPT, Google AI Overviews and Perplexity. Each gets a sector prompt set written for manufacturing, covering capability searches, material and process queries, lead-time and capacity questions, accreditation checks and direct comparisons against named competitors. We run these in structured research waves so the results are repeatable, not a one-off snapshot.

Every result is scored 0 to 100 and placed in one of five bands: Ghost (0 to 10), Whisper (11 to 30), Emerging (31 to 50), Cited (51 to 75), and Known and Cited (76 to 100). The score breaks down across our 12-pillar framework, so you can see exactly where you are strong and where the engines look past you. You can read the full method on our methodology page.

The result is not a vanity number. It is a map. It shows which prompts you win, which competitors own the answers you want, and which pieces of evidence the engines trust. From there the work is specific and measurable.

The 12 pillars matter most in a technical sector because they separate problems that look similar but are not. A weak score might come from thin content, from evidence the engine cannot read, from a mismatch between how you describe yourself and how the market describes you, or from a competitor simply having published more. The pillar breakdown tells you which of these is true. Without it, you would be guessing, and guessing in manufacturing tends to mean rewriting pages that were never the problem.

Every engagement starts with a free Exec Brief. We run a focused set of manufacturing prompts across the three engines, score you, place you in a band, and show you the gap between where you are and where your competitors sit. You see the real answers AI is giving buyers about your sector today.

If you want the full picture, the AI Visibility Strategy goes deeper. You get a complete 0 to 100 score across all 12 pillars, a competitor comparison, a prioritised list of the datasheets, accreditation listings and references that would move your score, and a plan to change the answer. Cadence is bespoke: Annual, Bi-Annual or Quarterly research waves, all bespoke priced to the size of your range and the number of competitors you want tracked.

The work that follows a full run is grounded, not abstract. We do not hand you a slide that says "improve your authority". We hand you a ranked list: this datasheet needs to be readable text rather than a scanned image, this accreditation is missing from the directories the engines trust, this capability is real but undocumented, this competitor owns this prompt because of this specific page. Each item maps to a pillar and to a score movement, so you can decide what to do first by the return it brings.

The Exec Brief is free and there is no obligation. Start here and we will show you what AI says about your business. To see a worked example first, visit see it in action.