The strategy in one line
Metal fabrication SEO is about matching the exact spec queries your buyers can win, with the site architecture, content, and AI citations that put your capability data in front of engineers and procurement teams at the moment they are building supplier shortlists. The video above walks through the full strategy. The reference files below let you take the playbook back to your own team.
What makes metal fabrication SEO different
Metal fabrication buyers do not type generic terms like “metal fabricator near me.” They search by process (TIG welding, plasma cutting, press brake forming), material (304 stainless, 6061 aluminum, HRPO carbon steel), certification (ISO 9001, AS9100, IATF 16949), and finished product (weldments, enclosures, brackets, structural assemblies). The queries that produce RFQs combine two or three of those dimensions at once.
A shop that ranks for “AS9100 stainless steel weldment fabrication” is reaching a buyer who already has a print, a material spec, and a certification requirement in hand. That query converts. “Metal fabricator” does not.
The three pillars that produce inbound RFQs
Capability page architecture. A dedicated page for every process, every material, and every certification. Not one “capabilities” page listing everything as bullet points. Individual pages ranked and indexed for the exact query combinations your buyers run, with schema markup on each so the page is machine-readable at scale.
Extractable data. Spec tables, tolerance ranges, part-size limits, and certification scope in HTML body copy, not PDFs. Google’s ranking algorithm and every AI answer engine (ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot) extract from HTML plus structured data. PDFs are invisible to both. Sites still shipping spec sheets only in PDF lose the AI-shortlist round before the buyer ever sees them.
Authority from your industry. Editorial placements in Modern Machine Shop, FabTech, The Fabricator, and directory profiles on NTMA, SME, and FMA. These are the citation sources Google weights heavily for industrial verticals, and the same sources AI models trust when they synthesize supplier shortlists. Without them, even a well-optimized site gets filtered out of AI recommendations regardless of ranking.
The first 90 days
Days 1 to 30 land the technical foundation: crawl and index audit, schema implementation on the capability, material, and certification pages, and site-speed work on the mobile side where procurement research increasingly happens.
Days 30 to 60 land the first content wave: a capability page per process, a material page per alloy you routinely stock or run, and a certification page per credential you hold. Structured data on each. Internal linking that reinforces the capability + material + certification cluster.
Days 60 to 90 land the authority work: trade publication placements, directory profile updates and cleanup, and the first AI citation-seeding campaigns (getting your shop named in the sources ChatGPT and Perplexity pull from when they answer supplier-shortlist prompts).
RFQ volume typically starts kicking in between months 3 and 6, then compounds. If your shop already has decent authority signals, that timeline shifts left.
What to do next
Watch the video above for the full step-by-step walkthrough. Download the reference files (keyword list, content prompts, site architecture blueprint) to run the strategy on your own site.
If you would rather have us run the whole engagement for you, book a call at the bottom of the page.
