Content that wins industrial buyers months before the RFQ.
Industrial buyers research specs, costs and suppliers long before they request a quote, and more of that research now happens in AI assistants. The Refinex Content Engine publishes technical, sourced articles that answer those questions, so your company is the one they find and the one AI cites.
What your buyers are asking
These are the kinds of questions engineers, plant managers and procurement teams put to search engines and AI assistants. For your business, the engine measures how often each is searched and asked of AI in your markets, and checks which sites ChatGPT, Perplexity, Gemini and Claude cite today.
- What does it cost to outsource CNC machining versus doing it in-house?
- Which material is best for high-temperature gaskets?
- How do I choose a contract manufacturer for a new product?
- What certifications should a medical-device supplier have?
- How long does tooling take for injection molding?
What the engine would write for you
Illustrative titles. Your real topics come from research on your market, chosen where you can rank and be cited.
Injection molding vs. CNC machining: which is right for your production run?
How much does a custom stamping die cost?
How to choose a contract manufacturer: 9 questions to ask before you sign
What ISO 13485 certification means for your supply chain
How the Content Engine works for Manufacturing & industrial
- 1
Research first
Demand in search and AI assistants for your markets, the pages ranking today and what they miss, and the sites AI cites now. When tariffs, standards or material prices change, the engine picks it up in its 90-day scan and publishes while buyers are searching for answers.
- 2
Written from credible sources
Every statistic is verified with a named source, year and link before writing starts. In your industry, that means:
- Standards bodies such as ISO and ASTM
- Industry associations and trade publications
- Government trade and production statistics
- Material and equipment manufacturers’ published specifications
- 3
Guardrails that fit your industry
- Never cites or names competing suppliers, even when they rank for the topic
- No performance or tolerance claims about your products unless you supply them
- Competitors and any domain you rule out are never cited, linked or named
- No invented results or figures: anything unsourced is cut
- 4
Reviewed, signed and shared
Each draft arrives with a live preview and its sources listed. It publishes only after an engineer or product manager on your team approves it, under your byline, with an original image, structured data and an FAQ. Then the post you picked goes out on LinkedIn and Meta.
Manufacturing & industrial: common questions
Can the engine write technical content accurately?
It writes from published standards, specifications and industry data, never from guesswork, and every claim carries a named source. An engineer on your team reviews each draft before it publishes, so technical accuracy is checked by someone who knows your process.
Our sales cycle is long. Does content still help?
Long cycles are where content helps most. Buyers research for months before contacting suppliers, and articles that answer their cost, comparison and selection questions keep your company in front of them throughout.
Will it mention our products?
Where it fits naturally, articles link to the relevant product or capability pages on your site. The engine never invents product claims; it only states what you supply or what is already published on your site.
Does anything publish without our approval?
No. Every article arrives as a draft with a live preview and its sources listed. A person on your team approves it, requests changes or rejects it. If no one acts, the draft closes itself after four days instead of publishing.
How much does the Refinex Content Engine cost?
Launch is $1,200 a month for 12 articles, and Growth is $2,250 a month for a new article every day. Agencies running the engine for several sites get a custom quote.
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See your first three topics
Book a demo and we will show you the research behind your first three articles: the demand, the gaps and who AI assistants cite today.