Buyers search for the production problem, not for a robot: a cycle time that will not hold, a quality escape, a task that is hard to staff.
SEO for automation and robotics suppliers works when applications, cell configurations and payback material are published in enough depth to answer those searches, and when integrators can find specifications without contacting you first.
Buyers rarely begin by searching for a robot. They begin from a bottleneck: a palletising step that limits the line, a repetitive inspection that keeps producing escapes, a machine tending task that is difficult to staff on nights. The technology category is something they arrive at later, often after several searches.
SEO for automation and robotics therefore targets application and process language first: palletising, machine tending, vision inspection, welding, deburring, end-of-line handling. Those pages reach the engineer at the point the project is still being defined, which is when supplier preference is easiest to influence and hardest to reverse later.
Once an application is understood, the searches change: payload and reach combinations, cycle time, footprint, environment rating, control interface, safety category. These queries are short, technical and frequently run with a specific number in them, and a marketing page cannot satisfy them.
We hold those attributes as structured product data with a page per system, so specification searches have something substantive to land on and a selection route can be built from the same records. It also means the figures on the public page and the figures on a partner download come from one source, which removes an inconsistency that is expensive to discover late.
An automation project is approved on a business case, and the engineer building it has to defend the numbers internally. Searches around payback, cost justification and return on an automation investment come from that person, and a single headline figure with no method behind it tends to be discounted rather than used.
We build payback material that shows the method and the assumptions: which cost lines are affected, how throughput and scrap change, what commissioning and training involve, and which inputs the customer has to supply. Where a calculator is appropriate, it produces a defensible range with its assumptions visible rather than a number engineered to persuade.
Much automation reaches production through system integrators, machine builders and distribution partners, and they search for different things: CAD models, configuration data, manuals, interface documentation, lead times. If those are hard to find, a partner defaults to whichever supplier makes their design work easier.
We make the partner-facing material findable where it can be public, and design the access model where it cannot, drawing on the same product records as the end-customer pages. Search work then serves both groups without the partner area competing against the pages you want end customers to reach, and without specifications diverging between them.
Code Industrial is the industrial B2B practice of Code Barcelona, an agency building corporate websites and digital platforms since 2015. The same strategy, design and engineering team works on every industrial project, from the first scoping session through to life after launch.
What comes up when a complex automation portfolio has to be found online.
Building application-led content around the production constraints buyers arrive with, then supporting it with configuration data, integration and safety detail and payback material. The research starts from process language such as palletising, machine tending or vision inspection rather than from product categories, because that is where the search begins and where supplier preference forms.
It can, though the value comes from specific application and process queries rather than head terms with high volume. A page answering a real palletising or inspection question thoroughly reaches a smaller audience with much higher intent. We build the search architecture around questions your engineering team can answer substantively, rather than generating thin pages for keyword coverage.
Yes, provided the assumptions are visible. The engineer building the internal business case has to defend it, and a headline payback figure with no method behind it tends to be discounted. Showing which cost lines are affected, how throughput and scrap change, what commissioning involves and which inputs the customer supplies is more persuasive than a number presented as a conclusion.
By drawing the partner route and the public pages from the same product records, then deciding what is public and what sits behind access. Integrators need CAD, configuration data, manuals and commercial terms; end customers need application evidence and a route to a conversation. Sharing the underlying data prevents a specification diverging between a partner download and a public page.
Selectively. Current manuals and selection material often benefit from being findable, ideally introduced by an HTML page that can compete for the query. CAD libraries, superseded revisions and anything under an access model should be excluded deliberately. The risk in a large library is that outdated documents outrank the system pages you maintain, which confuses buyers and partners alike.
Enough to answer what would otherwise surface in a third meeting: supported control platforms and protocols, the safety standards addressed, typical installation and commissioning effort, training, spares and remote support. This rarely gives away anything competitive, and it shortens evaluation while filtering out projects that were never going to fit your equipment.
With care. Content describing an application you can serve is reasonable when it is written from real engineering knowledge and does not imply installations that do not exist. What damages credibility is a reference implied where there is none, since integrators and engineers check. We separate capability content from evidence content so the distinction stays visible on the page.
Tell us which applications you want to be found for and how customers and integrators assess your systems today. We will set out the application content, configuration data and technical work behind it.