The procurement manager looking for what you make doesn't type "industrial solutions." He types the name of the part.

The problem you probably already feel

It usually sounds like this. The website has been up for eight years, it looks decent, and it gets between 200 and 600 visitors a month. When you check who they are, most turn out to be students looking for a definition, job seekers, and vendors who want to sell to you. The last business inquiry the site produced came from a customer who already knew you and was looking for your phone number.

Then someone in management says the line we hear most often in calls with industrial companies: "Our industry doesn't work that way. Our customers come from trade shows and referrals." That's partly true, and that's exactly the problem. A referral opens the door, but the procurement manager who got it will Google you before the meeting, and will look up two or three other suppliers alongside you. What he finds in those nine minutes decides whether you make the shortlist or serve as the price anchor.

The difference between industrial and retail isn't volume. It's the ratio between volume and value. For a store, 10,000 visits a month is a business. For a manufacturer, 40 of the right visits a month can make a good year.

What industrial SEO is, without the buzzwords

Technically, it's the same organic SEO that works for any business. Same crawler, same algorithm, same principles. Three things change, and each one sinks projects that were copied from retail without adapting them.

• Search volume is an order of magnitude smaller. A keyword that brings 70 searches a month is a good keyword in industry. A research tool that filters out anything under 100 searches will wipe out your entire field.
• The searcher isn't the only decision maker. An engineer finds suppliers, procurement approves, finance signs. The content has to serve three people with three different questions on the same site.
• The sales cycle is long. Months can pass between the first search and the first order. Anyone who measures success by clicks in the first month will shut the project down before it starts working.

In industry, search volume is a poor measure of value. A keyword with 20 searches a month can be worth more than one with 2,000, because one of those 20 is a procurement manager who already has a spec and a budget. The only exception we've seen was a company that sells to five customers in Israel. There, organic search just isn't the channel. Omri Kfir, Co-founder, DigiAssets

Why keyword research tools barely see your demand

Before writing this page, we took 18 keywords representing real Israeli industrial sectors and ran them through SE Ranking's Israel database. We didn't pick flattering keywords, and we didn't hide what came back empty. 12 keywords returned data, six returned zero.

The six keywords that returned zero data are קבלן משנה ייצור (manufacturing subcontractor), משאבות תעשייתיות (industrial pumps), מערכת ניהול ייצור (manufacturing execution system), מסוע תעשייתי (industrial conveyor), מחסנאות אוטומטיות (automated warehousing) and ייצור בהזמנה (made-to-order manufacturing). Israeli companies buy these things every week. The demand exists. The tool just doesn't measure it. This is the most important point on this page: In industry, "no volume" and "no demand" are two completely different things.

Which keywords an industrial company should actually target

This is the comparison that explains most failures in the field. The head term "קידום אתרים לחברות" (SEO for companies), which most agencies target, returned 20 searches a month at difficulty 50. The twelve product keywords we measured returned a combined 2,460 searches a month at difficulty 4 to 15.

The three layers of the keyword map

We build an industrial company's keyword map in three layers, based on who is searching, where they are in the buying journey, and what they already know when they type:

• The part layer. The name of the product, material, process or standard. "חריטת CNC" (CNC turning), "הזרקת פלסטיק" (plastic injection molding), "מדחס אוויר תעשייתי" (industrial air compressor). This is what an engineer types when he already knows what he needs, and it's the traffic closest to an order.
• The problem layer. What people search before they know the solution. "למה המסוע נתקע" (why the conveyor jams), "זמן השבתה בקו ייצור" (production line downtime). Very low volume, but this is where preference is built before anyone has even compared prices.
• The certification layer. Standards, approvals, compliance and customers. "ISO 9001", "תקן ישראלי" (Israeli Standard), "אישור מכון התקנים" (Standards Institution of Israel approval). In industrial purchasing this isn't marketing content. It's a baseline requirement for any supplier.

Why the AI answer about your field relies on a single source

On September 18, 2026 we pulled the full Hebrew Google results page for "קידום אתרים לחברות תעשייה" (SEO for industrial companies), including the AI answer. The answer Google displayed relied on just one Hebrew source, an article published on February 9, 2023. Not two, not five. One, three and a half years old.

We also checked the question database for the same cluster and got zero recorded questions in Hebrew. This picture repeats in almost every industrial field we've checked: the engine has to answer in Hebrew and has nothing to draw on. It relies on what exists, and when there's one source, that source is the answer.

What this means in practice for an Israeli manufacturer

This is a window of opportunity, not a permanent state. In the US market the same query draws on dozens of sources and nobody dominates it. In Hebrew, a mid-sized company that publishes real technical content can become the source the answer is built from, within months, not years. Research by Aggarwal et al. presented at KDD 2024 found visibility improvements of up to 40% in generative engine responses from changes to the content itself, and the tactics that worked were citing sources, attributed quotations and statistics, not keyword stuffing.

It's important to say what this is not. Google states explicitly, on its AI features and your website page updated on December 10, 2025, that there are no additional requirements to appear in AI Overviews or AI Mode, and no special file or dedicated Schema is needed. Anyone selling you "AI optimization" as a product completely separate from SEO is selling you the same work twice. The layer that genuinely adds something is handled at DigiAssets through our GEO services.

What the service includes

The service is built around what's missing on most industrial websites we've seen, not around a generic product list. The exact mix is set after we see the site and the inquiries it generates today, not before. Google explains in its helpful content guide, updated on December 10, 2025, that first-hand expertise and original information are what set apart content that holds up over time. On an industrial site, that expertise already exists in your engineering department. It just isn't written down anywhere.

• Mapping the buyer's language. Reviewing inbound inquiries, Search Console queries and existing spec sheets to build the keyword map across the three layers. This is usually the stage where it turns out the site talks about itself, not about the product.
• Product and process architecture. One page for each real manufacturing capability, with ranges, tolerances, materials and limitations. Not one page per SKU.
• Technical infrastructure and brand entity. Schema, crawler accessibility, speed, heading structure and a consistent company name everywhere it appears online.
• Technical content worth citing. Selection guides, material comparisons, the questions engineers actually ask. Written so a complete answer unit can be lifted from it, because that's how an AI engine reads.
• External authority. Link building and mentions in relevant Israeli sources, including trade media and local papers in the industrial zones where you operate.
• Measurement built for small volumes. Not a clicks report. Tracking of inquiries, branded queries and visibility in AI answers. See the measurement section below.

How we work

These six steps are the order we actually work in, not a sales list. The order matters: step 4 without step 2 produces nice pages for keywords nobody searches, and step 5 without step 3 pours link budget into a site Google still can't read properly.

How to measure success when there are 20 searches a month

This is the part that sinks most industrial engagements, and not because the work didn't work. A report showing growth from 180 to 240 visits a month looks weak to management, even when it represents the best year the site has ever had. That's why at DigiAssets we agree up front on what we look at, and what we don't.

• Attributed inquiries, not clicks. How many inquiries came in, from which landing page, and what the opportunity was worth. If there's no system tracking this, we build one in step 1.
• Product-language coverage. For how many part-layer keywords the site appears on page one. This is the metric that moves first, before traffic does.
• Branded queries. How many people search for the company name. In industry this is the best evidence that the brand has made the consideration list, and it rises even when overall traffic is flat.
• Visibility in AI answers. From a fixed set of questions written in buyer language, the percentage of answers that mention you. Same set, every month.

Alongside this, Google has opened a dedicated Search Console report for performance in generative answers. We wrote a full guide to the Generative AI report in Search Console and you can start looking at it today, whether or not we end up working together.

Us vs. the alternatives

This comparison covers factual parameters of how the work is done only: what's included, what's measured and what's stated up front. It doesn't include outcome promises, because we don't make any, or quality claims relative to other agencies, because we have no way to back them up. The two rows marked "by design" are our policy decisions, not a lack of capability.

If you want to see what a fully documented, end-to-end project looks like with us in a specific industry, we published a food industry case study. To be clear: it's a catering business, not a manufacturing plant, so it demonstrates the method and is not proof of results in industrial manufacturing.

How pricing is set

We won't publish a number here, and it's not a sales tactic. The workload on a 12-page industrial site versus a site with a 400-SKU catalog differs several times over, and so does the gap between a site with reasonable organic infrastructure and one that has to start from the foundations. A price published without seeing the site is a number someone will overpay for.

What we can say up front: for an industrial company, most of the work in the first months goes into building capability pages and fixing infrastructure, not ongoing content. That means the investment is higher at the start and drops later, the opposite of how a content retainer behaves.

When SEO isn't right for an industrial company, and we'll tell you

There are situations where this service is a waste of money, and we'd rather say so on the first call than in the second quarter. The four situations below come up often enough to earn a place on a sales page, and in each one we'll suggest a different channel or tell you there's nothing to do right now.

• Your market is five customers. A subcontractor supplying three large defense companies won't find its sixth customer on Google. That's a job for direct sales, not search.
• No one answers inquiries. If a website inquiry lands in a general inbox that's checked once a week, traffic isn't the problem. Fix that first. It's cheaper.
• You need results within six weeks. In industrial sectors we see movement in keyword coverage before we see movement in inquiries, and the gap between the two is measured in months. If the urgency is real, paid advertising is the right channel for now.
• The product can't be described publicly. If most of what you do is under NDA and you can't publish ranges, capabilities or customers, there's very little left to work with.

Last updated: September 18, 2026 · Data on this page was measured the same day in SE Ranking, Israel database.