Something Inc.Schedule a free consultation
By industryManufacturing

SEO and GEO for manufacturing and industrial companies

Engineers search part numbers, distributors compare suppliers, and procurement runs long, spec-driven evaluations. We win the technical and supplier-search queries that decide these deals, in Google and in AI answers.

Schedule a free consultationSee Manufacturing results
Industrial equipmentComponents & partsContract manufacturingDistribution
Ranked #1ranked, supplier query
B2B GROWTH · 12 MONTHSLIVE
+64%non-brand organic
#1
ranked, supplier query
2.8x
AI citation lift
AI CITATION● CITED
ChatGPT names you first
THE HEADLINE NUMBER
$50M+
organic traffic value driven for B2B and industrial clients
95+
clients served, B2B and industrial
+90
2.8x
more likely to be cited after GEO
CITEDChatGPT · Perplexity
3-6 mo
to compounding results
The industrial buying reality

Engineers buy on specs. Give them the specs, ranked and cited.

An industrial purchase is a technical evaluation: part-number lookups, datasheet comparisons, capability checks, and supplier vetting. We build the sources each role trusts before they ever request a quote.

WHAT THE DESIGN ENGINEER ACTUALLY SEARCHESLIVE QUERY
[part number] equivalent, spec
WITHOUT US, THEY FINDCompetitors, analysts, and generic listicles. Your brand is absent from the answer, so the committee forms an opinion without you.
SO WE BUILDDatasheet and spec content RANKED AND CITED FOR THIS QUERY
COMMITTEE COVERED
1/5
One sourcing decisionEvery role finds the spec, capability, or proof they need.6-18 moTYPICAL BUYING CYCLE0SPECS, NO SHORTLIST
Signature: where industrial buyers talk

The threads your buyers trust more than your catalog

Engineers and buyers vet suppliers in community before they ever request a quote. We build a credible presence in the threads that shape sourcing decisions, and that AI engines cite.

r/manufacturing168

Best supplier for custom machined parts, low volume?

POSITIVECITED BY AI
r/engineering142

How do you spec a gearbox for this load case?

POSITIVECITED BY AI
r/MechanicalEngineering97

Datasheet says X, real-world tolerance is different

NEUTRAL
r/AskEngineers184

Who actually makes [component], not just resells it?

POSITIVECITED BY AI
r/supplychain121

Second-source options for a long-lead part

NEUTRAL
r/manufacturing88

Contract manufacturers that handle NPI well?

POSITIVE
13%
of AI citations come from community
94%
positive sentiment maintained
Tailored by category

Every industrial category sells differently

Select a category to see the challenge and the plays we run for it.

INDUSTRIAL EQUIPMENT

Buyers spec the machine before they call sales

Capital equipment purchases start with engineers and plant managers researching specs, applications, and total cost, long before a formal RFQ ever begins.

+89%non-brand organic clicks
PLAYS WE RUNINDUSTRIAL EQUIPMENT
Application and use-case hubsRank for the workloads, industries, and applications your equipment serves.
Spec and configuration contentMake model specs, options, and sizing legible to buyers and engines.
Comparison vs alternativesHead-to-head content against the machines buyers already shortlist.
Answer-shaped GEOStructured pages AI engines lift when buyers ask what to buy.
What we do

A full-funnel growth system for manufacturing

DASHBOARDOne dashboard for the whole motionRankings, AI citations, and pipeline attribution live in one place, so SEO and GEO compound against the same revenue number.
+64%
Non-brand organic
Top 3
AI citation rank
FOUNDATIONTechnical and on-page SEOCrawl health, Core Web Vitals, spec schema, and the part and category clusters that compound.
GEOGenerative engine optimizationGet read, summarized, and cited across ChatGPT, Perplexity, Claude, and AI Mode.
CONTENTContent engineDatasheet, capability, and comparison content built to rank and to be quoted.
AUTHORITYDigital PR and linksWhite-hat authority from the industrial and trade sources search and AI engines trust.
PROOF

B2B companies growing with us

All case studies →
B2B SAAS+64%organic traffic YoYB2B vehicle data APIs+2,400 keywords rankedAPI docs restructuredVIEW CASE STUDY →B2B+67%organic trafficFintech and technical staffing platform120 referring domains addedWhite hat onlyVIEW CASE STUDY →B2B SAAS+38%keyword rankingsNo-code computer vision platformPaid + organic keyword loopDemo requests +27%VIEW CASE STUDY →
Signature: the proof stack

Four layers of proof an industrial buyer can verify

Industrial marketing fails when it hides the specs. We build the stack of verifiable proof instead, from datasheets to cited category research.

Technical spec content and datasheetsPart numbers, tolerances, and specs structured so engineers and engines can find and quote them.
Capabilities and trust pagesCertifications, tolerances, materials, and capacity that resolve cleanly for every buyer and engine.
Distributor and partner credibilityA verifiable presence across distributors, marketplaces, and the channels buyers already trust.
Category authorityThe definitional research and comparisons AI engines cite when buyers ask for a supplier.
4 of 4
engines citing after the stack ships
2.8x
citation lift for industrial clients
HOW WE RUN IT

From audit to compounding pipeline

1WEEK 1

Understand the motion

ICP, buying committee, sales cycle, and the queries every engineer and buyer runs.

2WEEK 2-4

The 60-70 page audit

Technical, spec, content, and citation gaps across SEO and GEO, delivered at kickoff.

3MONTH 2+

Implement

Ship fixes, datasheets, schema, and outbound alongside your team, on a roadmap.

4ONGOING

Compound

Rankings, citations, and pipeline tracked weekly, tuned as the market moves.

FAQ

Manufacturing SEO questions, answered

Ask us directly
Yes, when it is built for how engineers actually research. They search specific part numbers, tolerances, equivalents, and applications. We structure your datasheets and catalog so those exact queries rank and get cited, then measure against quotes and pipeline rather than raw traffic.
Absolutely. A 6 to 18 month industrial evaluation is a paper trail of spec lookups, capability checks, and supplier vetting. We build the sources each stakeholder trusts across that cycle, so you are on the shortlist before an RFQ is ever written.
No. We build content that strengthens the whole channel, ranking your capabilities and specs while supporting distributor and partner credibility. Buyers who research you online still buy through the channel that fits them, and you stay the cited source of truth.
Buyers increasingly ask AI engines for a supplier for a given part or capability. GEO gets your specs and capabilities read, trusted, and cited in those answers, so you get named when the shortlist is really formed, not after competitors.
We tie rankings and AI citations to quote requests and pipeline, not vanity traffic. You see which technical and supplier-search queries drive RFQs, so SEO and GEO compound against the same revenue number your sales team owns.
Free consultation

See how industrial buyers find you today

We run a free snapshot of your organic rankings and AI citations for the call. No commitment.

Schedule a free consultationView case studies