Marketing Agency for Manufacturers

An engineer who needs precision-machined titanium parts, or a buyer looking for a second source of food-grade packaging film, used to start with a directory search and a stack of datasheets. More of that first pass now happens in ChatGPT, Perplexity or Gemini: one prompt with the specification, the certification and the volume, and an answer that names a handful of suppliers with a reason for each.

For a manufacturer, that short list matters more than it looks. It shapes who receives the request for quotation, and engines build it from whatever they can read about your capabilities. If your certifications sit in a logo strip and your tolerances exist only in a PDF, a rival with clearer pages can take your place. We are an AI visibility agency: we measure those supplier answers prompt by prompt across seven engines and fix what they read.

What engineers and buyers ask AI

• “CNC machining suppliers in Wisconsin with AS9100 certification for aerospace parts”
• “Injection moulding companies in the UK that can run 500,000 parts a year in medical-grade polycarbonate”
• “ISO 13485 certified contract manufacturers for single-use medical devices in Europe”
• “Who makes stainless steel enclosures rated IP66 for food processing plants?”
• “Alternatives to [current supplier] for powder coating with a two-week lead time”
• “PCB assembly partners in Scotland for low-volume, high-mix prototypes”
• “Suppliers of FSC-certified corrugated packaging in Texas with in-house printing”
• “Which foundries can cast aluminium parts to ±0.1 mm tolerance?”

Each prompt is a specification in miniature: process, material, certification, capacity, tolerance and region. Engines answer by matching those details against what they can read, and suppliers who state them plainly are easier to match.

Where supplier answers come from

Answers to supplier questions typically draw on:

• Supplier directories: Thomasnet and sector directories that list capabilities, certifications and locations.
• Trade publications: news, features and buyer guides in the titles your industry reads.
• Distributor catalogues: listings with part numbers and specifications, sometimes more detailed than the manufacturer's own site.
• Datasheets and technical documents: specifications, material grades and test standards, where engines can read them.
• Trade association member lists: membership and accreditation registers that confirm who belongs.
• LinkedIn: company pages and engineers' posts about capabilities and new equipment.
• Your own site: capability, equipment, certification and industry pages.

Why capable manufacturers get passed over

Capabilities described in general terms. “Precision engineering solutions for demanding industries” matches no prompt. An engine needs processes, materials, tolerances, part sizes and volumes.

Certifications shown as logos. An image of a badge does not tell an engine the standard, the scope or the sites it covers.

Specifications locked in PDFs. Datasheets matter, but a value that appears only in a scanned document is easily missed.

Distributors described better than you. When a distributor catalogue holds richer data on your products than your own site, engines cite the distributor, and sometimes name it as the maker.

Directory profiles left half complete. An old directory or association listing with outdated capacity, or a plant you have closed, gets repeated in answers.

How we help manufacturers get onto AI supplier shortlists

What working with us looks like

We work from your capabilities, not your brochure. We agree the processes, materials, certifications and markets you want enquiries for, measure which suppliers seven engines name for those specifications, then make your capabilities easy to read and confirm. Your engineering and quality teams own every number; we handle structure, sources and outreach.

What we deliver

• A prompt map by capability, specification and region. Prompts built from your processes, materials, tolerances, volumes, certifications and industries served, plus “alternatives to” prompts for the incumbents your sales team meets in tenders.
• Capability pages engineers can quote. One page per process, with materials, tolerances, part size ranges, batch sizes, typical lead times and equipment lists in page text and HTML tables, backed by structured data.
• Specification and certification pages. A page for each certification, and the datasheet values buyers ask about written into product pages, with the PDFs kept for download.
• Directory and distributor data fixes. Complete, current profiles on Thomasnet and the sector directories and association lists engines cite, and corrected product data for distributors, with a request to name you as the maker.
• Trade press pitches. Technical stories, such as new equipment, a new certification or an application note, offered to the publications engines read for your prompts.
• A fact-correction log. Lapsed certifications, closed plants, old capacity figures and discontinued products, each traced to its source with the fix requested and the date each engine changed.
• Monthly supplier answer share. Which suppliers each engine names for each capability prompt, how you are described and which sources it cites, against named competitors.

Your first 90 days

Weeks 1 to 2: map and measure

• Prompt map agreed with your commercial director, with sales naming the competitors they meet most.
• A baseline across seven engines: which suppliers are named, how you are described, and which directories, distributors and publications are cited.
• Wrong facts and technical blockers ranked: certifications shown only as logos, specifications only in scanned PDFs, capability pages crawlers cannot reach.

Weeks 3 to 6: make capabilities readable

• First capability and certification pages live, after engineering and quality sign-off.
• Directory and association profiles completed and corrected, starting with those engines cite most.
• Corrected product data sent to your main distributors.

Weeks 7 to 12: earn technical citations

• Technical stories pitched to the trade publications engines cite.
• Every prompt re-run against the baseline. The month 3 checkpoint is movement on target questions and the first earned citations quoted by engines.

By month 6 you see supplier answer share by capability, engine by engine, against named competitors. Our method shows where each phase sits among the four steps.

What you see each month

The report is organised by capability and market. For each prompt it shows which suppliers each engine names, whether your certifications, capacities and locations are stated correctly, and which sources it relied on. Sales can see which shortlists you now appear on before a request for quotation arrives. The live dashboard holds the same answers between reports.

Illustrative example, not client data:

What we need from you

• An approver: your engineering or quality lead for every technical value, with the commercial director agreeing priorities.
• Access: your CMS, Search Console and analytics, and access to your Thomasnet and other directory profiles.
• Inputs: current datasheets, certificates with their scopes, equipment lists and the capabilities you want more enquiries for.
• Markets and rivals: the regions and industries you sell into, and the competitors you lose tenders to.
• Approvals within a few working days, even when a value needs checking on the shop floor.

Plans start at $2,000 a month, with custom engagements for a narrower scope from $1,500 a month. Pricing sets out what each plan includes.

Specifications, datasheets and certifications

Industrial buyers ask precise questions, so the facts have to be precise and findable. Datasheets can stay as downloads, but the values that answer prompts belong in the page itself: material grades, dimensions, ratings, test standards and compliance marks. Where a product comes in variants, an HTML table rather than an image lets an engine read “IP66, 316 stainless, 600 × 400 mm” without guessing.

Certifications need the same care. To match you to an AS9100 or ISO 13485 prompt, an engine has to read the standard, the scope, the certifying body and the sites covered, and a badge image gives it none of those. When a certificate is renewed or extended, your own certification page should change first, and the directories follow.

Google's results still shape many AI answers, so technical groundwork is part of the job: crawlable capability pages, sensible URLs for product families and robots rules that let AI crawlers read them, as covered in our guide to AI crawlers and robots.txt. AEO vs SEO: what actually changes explains how this differs from ranking work.