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Technical specification: CNC search marketing

SEO for CNC Companies Industry

SEO for CNC companies industry is the highest-volume phrase in the CNC machining marketing cluster, and it names exactly what wins contracts. The machine shop that appears when an engineer types a material, a process, a tolerance class and a certification in one search receives the RFQ before the shop with the bigger ad budget. This page is the working document for that outcome: what SEO for CNC companies includes, how it differs from generic SEO, which pages to build, which technical fixes matter, and how to get cited by AI engines when buyers ask them for a supplier shortlist.

Most machine shop websites are built to be found, not to be chosen. They describe machines and claim precision. This page is written for the owner or marketing lead who wants the shop found by the right buyer, then chosen because the website proves capability with data. Every claim follows the standard we apply to our own CNC clients: a number, a machine, a tolerance, a source.

155
Monthly impressions in the CNC cluster
43.5
Average position today, primary phrase
12
Searches a B2B buyer runs before a brand visit
40%
Max visibility gain documented for GEO

Process spec / TL;DR

REV 2026.08
  1. 01 Target spec queries, not category terms: material grade x process x tolerance x certification.
  2. 02 Publish one capability page per unique data set: machines, materials, certifications.
  3. 03 Prove capability with numbers: spindle, travel, tolerance, CMM data, FAI samples.
  4. 04 Fix technical SEO first: mobile speed, duplicate pages, schema markup.
  5. 05 Structure content for AI engines: answer-first blocks, quoted statistics, structured data.
  6. 06 Plan for 12 months and measure RFQs, not just rankings.

01 / Definition and scope

What SEO for CNC Companies Actually Includes

SEO for CNC companies is the discipline of making a machine shop visible for the exact queries engineers type while a part print is open on the second monitor. The search behavior differs from every other industry. A buyer does not search for your brand, and rarely searches for the single word "CNC." They search the way they would talk to a colleague: who machines Inconel 718 on a 5-axis to a tenth? Most of that language never reaches a keyword tool. It lives in Search Console as small clusters of impressions, and each one arrives with a project behind it.

A complete program runs six workstreams. Keyword architecture maps your machine tools, materials, tolerances and certifications to real query families. Capability page engineering turns that map into pages Google can rank. Technical SEO removes the friction that keeps those pages from ranking. Schema markup translates machine data into language that search engines and AI models can parse. GEO structures content so AI engines cite you when buyers ask for a supplier shortlist. Measurement closes the loop on RFQs and revenue instead of vanity rankings.

Equally useful is what SEO for CNC companies is not. It is not one generic services page stuffed with keywords. It is not a blog about industry trends that says nothing about your machines. It is not a one-time project. A shop that treats SEO as a content project gets the same result as a shop that treats a five-axis machine as a drill press: the capability exists, the output is average. The comparison below sets the discipline against the generic approach that keeps most shops invisible.

AspectGeneric manufacturing SEOSEO for CNC companies
Target queriesCategory terms such as "CNC machining services"Spec combinations: material grade x process x tolerance x certification
Content unitsService pages and blog postsMachine, material, certification and inspection pages
Proof standardClaims and stock photosData: spindle speed, work envelope, CMM reports, FAI samples
Buyer personasOne generic decision-makerFour: engineer, quality, procurement, operations
SchemaBasic Organization markupProduct or Service with PropertyValue, FAQ and HowTo
AI / GEO readinessNot structured for extractionAnswer-first blocks and structured data built for AI citation

The one-sentence version

Generic SEO asks how much traffic a page can collect; SEO for CNC companies asks how many part-specific questions your website answers with proof, because each answered question is a shop that gets shortlisted.

02 / Engineering buyer path

How Engineers and Buyers Search for a CNC Supplier

The buying path for a machined part is a committee, not a funnel. Four different people touch the decision at four different times, and each searches for different information. Gartner research on the B2B buying journey shows buyers spend only 17 percent of their time with potential suppliers and 27 percent on independent online research. Most of the competitive battle therefore happens on your website and in search results while no salesperson is in the room.

Google's B2B research with BCG adds the second number that matters: B2B researchers perform around 12 online searches before engaging with a specific brand's website. For a machine shop that means the buyer has already seen five competitors before your domain appears. The shop that wins is not necessarily the biggest or the cheapest. It is the one whose page matched the query best at the exact moment the buyer searched, four different times, for four different committee members.

PersonaWhat they search forWhat they need to see
Manufacturing engineerMaterial plus process plus tolerance combosCapability specs, GD&T interpretation, DFM guidance
Quality managerCertification scope, inspection capabilityCert pages, FAI and PPAP samples, CMM data
Procurement specialistLead time, minimum order, RFQ processQuote form, response SLA, commercial terms
VP operations / ownerCapacity, reliability, long-term partnersMachine count, capacity, case studies, on-time metrics

Where B2B Buyers Spend Their Time

Share of total buying time by task, before a purchase decision

Independent online research27%
27%
Direct contact with suppliers17%
17%
Internal alignment and evaluation56%
56%

Source: Gartner B2B buying journey research

The sequence usually runs in the same order. The manufacturing engineer searches for the material and process combination that matches the print, and stays on the supplier page that states tolerances and machine capability directly instead of hiding them in a brochure PDF. The quality manager checks certification scope and inspection evidence, and opens the certification page that lists scope, certifying body and audit history. Procurement compares the RFQ experience: response speed, form fields, file upload, security. The VP of operations wants proof of capacity and reliability. A website that serves all four with separate pages wins the same committee four times in a row.

This is why the keyword architecture in the next section is built around people and parts, not around search volume. A query with three impressions a month, typed by a manufacturing engineer who is actively qualifying a supplier, beats a query with three thousand impressions typed by students researching what CNC means. Relevance to the buying committee is the ranking that matters.

03 / Keyword architecture

Specification Keyword Architecture: the Pyramid That Wins RFQs

CNC keyword architecture is a pyramid with four layers. The top is the generic category, "CNC machining services," high volume, high competition, low conversion. Below it sit process and industry terms, "5-axis machining" or "aerospace CNC machining." The layer under that is the combination of process and material, "CNC milling aluminum 7075-T6." The base, where the RFQs live, is the full specification query: process, material, tolerance class and certification in one string, "CNC turning stainless 316L to ±0.0005 in ISO 13485." Most shops fight at the top of the pyramid where the traffic is but the projects are not. The shops that win specifications work from the base upward.

Your own Search Console data already shows the shape of this pyramid for the SEO for CNC companies cluster. The chart below is real client data, not an estimate. The primary phrase pulls the impressions, the secondary phrase pulls the clicks, and the deepest specification queries sit at a single impression each. That distribution is the opportunity: the base of the pyramid is nearly empty, and every query there belongs to a shop willing to publish the exact page that answers it.

Current Visibility in the CNC Search Cluster

Impressions by query from Search Console, trailing period

seo for cnc companies industry155
155
seo for cnc companies43
43
cnc seo6
seo for cnc machine shops1

Source: Client Google Search Console data, CNC machining marketing cluster

The table below translates the pyramid into buildable page types. Volume bands are deliberately directional. Public keyword tools were built for consumer queries and miss most industrial long-tail demand, so the bands order the opportunities instead of pretending to measure them. Difficulty reflects how many competitors already target the query with a dedicated page, which for specification queries is usually close to zero.

Keyword Architecture Archetypes for CNC Companies

Volume bands are directional. Public tools under-report industrial long-tail queries, so treat the bands as ordering, not precision.

Query archetypeExampleVolume bandDifficultyPage to build
Material + process5-axis CNC milling Inconel 718Low (50-150)MediumMaterial and process page
Material + process + toleranceCNC turning stainless 316L ±0.0005 inMicro (<50)MediumCapability page
Process + material + certificationCNC machining titanium 6Al-4V AS9100DMicro (<50)MediumCertification and material page
Machine type specificCitizen Swiss screw machiningLow (50-150)EasyMachine page
Certification + industryISO 13485 CNC machining for medicalLow (50-150)EasyCertification and industry page
Generic categoryCNC machining servicesMedium-High (400-1000)HardHub and capability overview
Near-me / localprecision CNC machining near meMedium (150-400)HardLocal SEO landing page

Source: Directional volume bands from keyword research; GSC cluster data shown above

Before you write a single page, test how the pyramid behaves for your own combination of machines, materials and certifications. The tool below builds the exact query strings for your shop and estimates how hard each one is to rank. It is the same exercise we run in the first week of a CNC SEO program, applied to your setup instead of a hypothetical one.

Interactive tool

CNC SEO Query Explorer

Build the spec-based queries your next capability page should target. No sign-up, nothing is tracked.

Process

Material

Tolerance

Certification

Generated spec queries

Select a process and a material to generate example queries.

Ranking difficulty

0/ 10

Commercial value

Low

Suggested landing page

Capability page

Directional estimate based on query structure, machining difficulty, certification scarcity and tolerance class. Public volume tools under-report industrial long-tail queries, so treat volume as a multiplier on relevance, not a ceiling.

Two habits separate shops that use this correctly from shops that abandon it. First, build pages in order of difficulty, not volume: pick the easy wins with real commercial value first so the program shows proof inside 90 days. Second, revisit the map every quarter. Machine tools change, certifications change, and the query base of the pyramid grows with every new page, which means the definition of "easy" changes too.

04 / Capability page engineering

Capability Page Engineering: Every Page Must Own One Data Point

A capability page is the page that answers one family of specification queries with proof. The rule that governs all of them is the rule we used for the keyword map: no page without at least one unique data point. For a machine page that is a spindle speed, a work envelope, a taper, a pallet size or an integrated inspection system. For a material page it is a machinability rating, a heat treat process, a surface finish range or a tolerance that the shop actually holds in that material. For a certification page it is the scope line, the certifying body and the audit history. When two pages would share the same data, they merge into one.

The machine page is the workhorse because engineers search machines the way they search parts. A page for a specific 5-axis machining center should state the axis configuration, spindle speed and taper, maximum work envelope, tool capacity, probing and inspection capability, and the tolerances the shop routinely holds on that machine. Add a real example part with its tolerances and inspection report, and the page becomes something no competitor page can fake. Stock photos of a similar machine are the fastest way to lose the same credibility.

Material pages carry the query combinations from the keyword pyramid. "CNC machining Inconel 718" needs machinability notes, the specific grades the shop has cut, typical applications in aerospace and energy, and the surface finishes and tolerances achieved in that material. Include the documentation buyers ask for: material certificates, heat treat certifications and inspection data. The page earns its ranking because it answers the question "can you actually machine this material, to this tolerance, with proof" in one place.

Certification pages are the trust layer for the quality manager persona. Each certification, AS9100D, ISO 13485, ITAR, IATF 16949 or NADCAP, gets its own page with the scope of certification, the certifying body, audit dates, and the documentation deliverables the shop provides, first article inspection, PPAP, CMM reports. A certification page that only lists a badge and a year is a red flag for a quality manager. A page that explains what the scope covers and what documents come with a shipment answers the exact question that person arrived with.

Page typeQuery family it servesMust containSchema
Machine tool page5-axis milling + brand or modelAxis config, spindle speed, work envelope, tooling, inspection capabilityProduct + PropertyValue
Material grade pageCNC machining [grade]Machinability, heat treat, tolerances per grade, applicationsProduct + PropertyValue
Certification page[cert] CNC machiningScope, certifying body, audit history, FAI and PPAP deliverablesService + FAQ
Process page[process] CNC machiningProcess capability, secondary operations, tolerances, finishesService
Industry pageCNC machining for [industry]Relevant certifications, component types, documentation, case studiesService + FAQ
RFQ pagequote CNC machiningForm fields, required data, response SLA, file securityService + FAQ

Highest-converting page on the site

The RFQ page is a capability page too. It sets the response SLA, lists the data the shop needs with a part print, explains file security and confidentiality, and shows what happens after submission. Engineers compare the RFQ experience across three shops at the end of the cycle. A shop that asks for the right data, answers in 48 hours and documents the process converts more shortlists than a shop with a bigger machine list and a broken contact form.

05 / Technical foundation

Technical SEO Foundation for Machine Shop Websites

Technical SEO decides whether the pages you build can rank at all. For a machine shop the stakes are concrete. The manufacturing engineer who searches from a phone on the shop floor will not wait four seconds for a page heavy with uncropped machine photos. Core Web Vitals is not a Google marketing term for machine shops, it is the difference between being evaluated and being abandoned.

The second technical problem is duplication. Most machine shop websites evolved as one page with a machine list, a materials table and a certification strip. When the marketing team later creates separate pages, they copy the same text into each one. Google then sees near-identical URLs competing against each other, and none of them earns the authority a single focused page would. The fix is architectural: one page per unique data set, canonical tags where overlap remains, and a redirect plan for merged pages.

The third pillar is schema markup. Search engines and AI models read structured data more reliably than prose. A machine page with Product or Service schema and PropertyValue entries for spindle speed, travel, tolerance and materials becomes a data object an AI engine can quote. FAQ schema on certification pages feeds answer blocks. The table below is the audit order we run on every CNC client, ranked by impact on the queries that generate RFQs.

Audit itemWhy it matters for a machine shopPriority
Mobile page speed, LCP under 2.5 sEngineers research on phones, often on a shop floorHigh
Merge duplicate capability pagesNear-identical URLs split ranking signalsHigh
Product or Service schema with PropertyValueMachine and material data becomes parseable for answersHigh
Clean XML sitemap and internal linksEvery capability page stays within reach of the crawlerHigh
HTTPS and no mixed contentRequired for procurement and IT security reviewMedium
WebP images and lazy loadingMachine photos and video dominate page weightMedium
FAQ and HowTo schema on guidesEligibility for snippets and AI answersMedium
Published inspection data and reportsThe differentiator no generic shop can copyLow

Internal linking is the part shops skip, and it matters more in CNC SEO than in any other sector because the site is a product of hundreds of machine, material and certification pages. Every capability page needs a parent it links up to and children it links down to. The machine page links up to the process page and down to example parts. The certification page links up to the industry page and across to the material pages the certificate covers. This structure does two jobs at once: it passes authority through the site and it helps the crawler understand that every page serves a distinct query family.

Where most shops lose the ranking race

Not on content quality, which is usually acceptable, but on the combination of slow mobile pages, duplicated capability text and missing structured data. All three are fixable in the first two months of a program, and all three are visible to Google before any new content ships. Fix the foundation first, then publish.

06 / Generative engine optimization

GEO for CNC Companies: Getting Cited When Buyers Ask AI

The next research layer above Google is the generative engine. A growing share of engineering buyers opens ChatGPT, Perplexity, Google AI Overviews or Copilot instead of a results page and asks the same question they used to type into search: which CNC shops machine titanium with ISO 13485? The engine answers by synthesizing several sources and naming suppliers. GEO is the discipline of making your shop one of those named sources.

The mechanics matter. A generative engine gathers text, weighs source clarity, prefers content with quotable statistics and specific data, and favors structured markup it can read directly. The machine page that states "spindle speed 18,000 rpm, work envelope 730 x 650 x 510 mm, holds ±0.0005 in on Inconel 718 with CMM verification" is a source an AI can quote. The page that says "we offer world-class precision machining with state-of-the-art equipment" is noise the AI discards. For CNC suppliers, the gap between quotable and discardable content is the entire competitive difference in AI answers.

The research backing for GEO is concrete. The Princeton study "GEO: Generative Engine Optimization" (Aggarwal et al., presented at KDD 2024) measured the effect of content changes on visibility inside generative engine responses and recorded gains of up to 40 percent. The most effective levers were adding quotes and statistics, citing trustworthy sources and placing content where the engine is most likely to extract it. For a machine shop that translates into a checklist: answer-first paragraphs under question headings, real numbers with named sources, and schema that exposes the data.

TacticClassic SEOGEO for AI engines
Primary audienceGoogle crawlerChatGPT, Perplexity, AI Overviews, Copilot
Content formPage optimized for one keywordQuestion header, answer-first paragraph, quoted numbers
Proof signalBacklinks and domain authoritySource clarity, statistics, citations, structured data
Unit of successPosition on page oneNamed as a source inside a generated answer
MeasurementSearch Console rankingsAI citation checks and brand mentions
Speed of effect3 to 12 monthsWeeks to months, varies by engine

Example: answer block that gets quoted

"Who machines titanium 6Al-4V for medical devices?" A shortlist answer begins with the certification and the inspection evidence, not with adjectives: "As a Swiss screw machining shop with ISO 13485 and CMM in-process inspection, we hold ±0.0005 in on titanium 6Al-4V, with FAI documentation on every lot." That sentence, placed directly under the question heading, is exactly the block a generative engine extracts, quotes and attributes.

GEO does not replace the SEO foundation. It rewards the same capability pages, the same numbers and the same schema, then adds an extraction layer on top. A shop that ranks in classic search and structures the same content for AI engines gets quoted twice: once in the results page and once in the generated shortlist. The measurement is different though. Rankings show in Search Console; AI citations require manual checks with real prompts, on a schedule, with the brand name as the query. That audit belongs in the monthly reporting from month one.

07 / Program roadmap

The 12-Month SEO Roadmap and What It Should Cost

SEO for CNC companies compounds, so the order of work matters more than the amount of work. Fixing technical issues in month one makes every page published in month three rank faster. Publishing the five easiest capability pages before the hardest ones proves the model to the sales team before the budget cycle ends. Adding GEO answer blocks in month six makes the growing page library extractable by AI engines in time for the next quote cycle. The phases below reflect that sequence, with the budget ranges we see across machining clients of different sizes.

One warning before the table: the timeline is about the queries, not about the sales cycle. A ranking that appears in month five may produce its first RFQ in month eight, and the contract signed in month fourteen. When a program is judged by pipeline instead of rankings, the first year always looks slow and the second year always looks like it came from nowhere. Judge by the trend line, not the first quarter.

PhaseTimelineFocusKPIBudget (USD/mo)
Phase 0: Audit and architectureMonth 1Technical audit, keyword map, page consolidationIssue list, query map1,500-4,000 one-time
Phase 1: FoundationMonths 2-3Speed, schema, merge duplicates, first capability pagesCWV pass, indexed pages up2,500-4,000
Phase 2: BuildMonths 4-6Material, machine and cert pages; technical contentFirst page-one long-tail, first organic RFQ3,000-5,000
Phase 3: CompoundMonths 7-12Case studies, GEO answer blocks, digital PR30%+ query growth, stable RFQ flow3,000-6,000
Phase 4: ScaleMonths 12+Expand industry pages, integrate ABMPipeline revenue from organic4,000-8,000

The compounding shape is why the budget discussion should never compare SEO to PPC on cost per click. SEO builds an asset that keeps producing after the monthly fee stops; PPC produces inquiries only while the budget runs. The table below models the cumulative difference for a CNC company spending the same amount on each channel. It is an illustrative pattern, not a promise, but the shape is the shape: the lines cross near month 12 and never cross back.

Cumulative Qualified Inquiries: SEO vs. PPC

Illustrative compounding pattern for a CNC company. Not a guarantee of results.

MonthSEO inquiriesPPC inquiries
Month 31045
Month 64290
Month 995135
Month 12180180
Month 15300225
Month 18460270

Source: Illustrative compounding model, equal monthly spend in both channels

The decision rule

Use PPC to cover the specification queries SEO has not ranked yet, and stop bidding on the ones organic already wins. Reallocate that budget into content. The shop that treats SEO and PPC as one budget with one goal, qualified RFQs, spends less over 18 months and keeps the asset at the end.

08 / Frequently asked questions

Questions Machine Shop Owners Ask About CNC SEO

Short answers here, the longer treatment lives in the sections above.

What is SEO for CNC companies and how is it different from general SEO?

SEO for CNC companies is the practice of making a machine shop rank for the queries engineers type before sending an RFQ. General SEO optimizes for category words such as "CNC machining." CNC SEO targets combinations: a material grade, a process, a tolerance class and a certification in one query, for example "5-axis CNC milling aluminum 7075-T6 AS9100D." Those combination queries are rarer, cheaper to rank for and far more likely to produce a qualified RFQ. The work involves specification keyword architecture, capability pages for machines, materials and certifications, technical SEO, schema markup and GEO so AI engines cite the shop as well.

How long does SEO take to produce RFQs for a CNC machine shop?

A realistic curve: months 1 to 3 cover technical fixes, keyword mapping and the first capability page rebuilds. Months 4 to 6 bring first page-one rankings for long-tail specification queries and a rising share of qualified inquiries. Months 7 to 12 compound as material and certification pages accumulate rankings. Most shops see their first inbound RFQ from organic search between month 4 and month 8, and a stable flow after month 12. Because aerospace, medical and defense sales cycles run 6 to 18 months, some of the best inquiries arrive long after the ranking itself.

Which keywords should a CNC shop target first?

Start with queries that combine what you machine with who you serve: material plus process plus certification. For a shop running Inconel on 5-axis machines with AS9100D, the priority is "5-axis CNC milling Inconel 718 AS9100D" before the generic "CNC machining." These exact combination queries face low competition because most competitors write one generic capability page. Use Google Search Console to find queries where you already appear between positions 5 and 20, then build or strengthen the page that matches. That path is faster than chasing new terms from zero.

Do we need a separate page for every machine, material and certification?

Yes, when each page adds unique data. A dedicated page per material grade, per machine type and per certification works because each targets a different query family. The rule is simple: no page exists without at least one unique data point. That can be a spindle speed, a work envelope, a tolerance capability, a heat treat process, an inspection report sample or a certification scope. When two pages would contain the same information, merge them. The weakest machine shop website has one page listing every machine, material and certification inside a single table.

What is GEO and why should a CNC company care?

GEO, or generative engine optimization, is the practice of structuring content so AI engines answer with your shop as a source. When an engineer asks ChatGPT, Perplexity or Google AI Overviews which CNC shops machine titanium with ISO 13485, the AI synthesizes an answer from multiple sources and names a shortlist. Research from the Princeton GEO study (Aggarwal et al., KDD 2024) shows content changes can improve visibility in generative answers by up to 40 percent. Answer-first paragraphs, quoted statistics and machine-readable schema raise the chance that the AI cites your shop in that shortlist.

How is CNC SEO different from marketing for other manufacturers?

The difference sits in the buying committee and the search language. An engineer evaluating a CNC supplier searches with a part print open: material grade, tolerance, surface finish, process and certification all matter. CNC SEO must address four separate personas, the manufacturing engineer, the quality manager, the procurement specialist and the VP of operations, with different content, and must prove capability with data. Generic manufacturing content that claims "we machine with high precision" fails. Content must state what, on which machine, to what tolerance and with which inspection method.

Which technical SEO issues hurt machine shop websites the most?

The three that hurt most are slow page speed on mobile, thin or duplicate capability pages, and missing schema. A buyer on a shop floor who opens your website on a phone will not wait four seconds. Duplicate capability pages split ranking signals across near-identical URLs. Missing schema means Google and AI engines cannot parse machine data into answers. Fix those three first: compress images, merge duplicate pages with canonical tags or redirects, and add Product or Service schema with PropertyValue for spindle speed, travel and tolerance.

What budget should a CNC company plan for SEO?

A useful planning range is USD 2,500 to 6,000 per month for a focused SEO program at a specialized industrial agency, plus a one-time technical audit of USD 1,500 to 4,000. Content production dominates cost because capability pages require real machining knowledge, not generic copy. A production shop with 50 machines and 10 certifications needs a larger content program than a job shop with 6 machines. Plan for 12 months before judging the program, because specification queries compound slowly and the sales cycle adds another 3 to 6 months on top.

Can a small job shop rank for CNC keywords against big production shops?

Yes, and small shops often win the highest-value queries. The specification queries that matter most, a rare material on a specific machine with a specific certification, are too narrow for big shops to target because their content is written for volume. A job shop with one Citizen Swiss and ISO 13485 can rank for "Swiss screw machining PEEK ISO 13485" with a single detailed page. Authority at that level comes from specificity, real inspection data and documented case studies, not from company size.

09 / Experience, expertise, authority, trust

The Team Behind Our CNC SEO Programs

The methodology on this page is run by people who have spent their careers in industrial marketing and in performance advertising for engineering audiences. The names below lead the CNC accounts, and their experience is the E-E-A-T foundation that separates a specialized CNC SEO program from a generalist agency applying a consumer playbook.

Mateusz Wójcik

Mateusz Wójcik

SEM Expert

SEM expert with over 13 years of experience scaling performance for Starcom, McDonald's, Bosch, Jeep, Alfa Romeo, Fiat Professional and Berlin-Chemie. Runs paid search and measurement for industrial B2B accounts. For CNC clients he optimizes for qualified RFQ submissions instead of raw clicks, and uses organic data from SEO programs to cut wasted spend on queries that already rank.

LinkedIn profile
Mateusz Krasuski

Mateusz Krasuski

Brand Strategy Expert

Strategist with over a decade of experience building brands for Adidas, LOT Polish Airlines, T-Mobile, Aviva, BNP Paribas and Walmart. Leads 360-degree campaigns that combine technical proof with clear positioning. For machine shops he turns machine capability lists into a positioning story engineers remember when they compare shortlisted suppliers.

LinkedIn profile
Jakub Galega

Jakub Galega

Senior B2B Growth Strategist | BIM/CAD/Manufacturing

Founder of 2026 TOP Digital Agency For Manufacturers and B2B Sales Infrastructure Architect with 16 years in industrial marketing. Held senior roles at T-Mobile, BMW, Aviva, RTB House and Microsoft. Works with more than 58 manufacturing and building materials companies across the UK, US and Central European markets, including CNC and precision machining clients. Directs the CNC SEO methodology described on this page.

LinkedIn profile

SEO Is One Part of a Complete CNC Marketing System

The capability pages you build for SEO become landing pages for PPC, capture points for lead generation and proof points for content marketing. Each channel below has its own strategy page, so the CNC machining marketing hub is the right next stop after this one.

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