Marketing for IoT and embedded companies
Short answerMarketing an IoT or embedded company works when it speaks to two buyers at once: the engineer who checks the stack and the commercial lead who signs. State what you do and the technology you work in plainly, show evidence one click from every claim, and build a page for each platform, protocol and problem your buyers actually search for.
Key points
- IoT deals are decided by a group, so the site has to satisfy an engineer and a commercial buyer on the same visit.
- Name the stack in plain words: the chips, operating systems, protocols and cloud you actually work in.
- Every call to action should open evidence, such as projects, write-ups or code, rather than a sales call.
- The searches worth winning are precise and low in volume: a platform, a protocol or a problem, not 'IoT agency'.
Connected-product work spans hardware, firmware, connectivity, cloud and apps, and few buyers understand every part of that chain. The result is a marketing problem unusual in its shape: the people best placed to judge your work are the hardest to impress, and the people who sign the budget may not follow the technical detail at all. This guide covers how to position the offer, what the website needs to show, which searches matter, and how two real IoT businesses handled it.
Why is marketing an IoT company so hard?
Three things make it harder than marketing most services.
The buyer is a group. A typical decision involves an engineering lead who checks whether you know the platform, a product owner or founder who cares about time to market and risk, and often someone in procurement or finance. Each reads the site for something different, and each can stop the deal.
The work is hard to summarise. Saying you "build IoT products" tells a buyer almost nothing. A firmware specialist, a hardware design house, a cloud platform team and an end-to-end product studio all use the same phrase, and a buyer cannot tell them apart.
Technical buyers distrust marketing. Engineers have learned that adjectives cost nothing. They look for the specific microcontroller families, operating systems and protocols you have shipped, and for evidence that you have solved problems like theirs.
Generic marketing makes all three worse. Stock images of glowing circuit boards, phrases like "Industry 4.0 solutions" and a single "Book a call" button tell the engineer there is nothing underneath, and tell the commercial buyer nothing about outcomes.
How should an IoT company describe what it does?
Start with who you are and which part of the chain you own, then state the technology plainly. The aim is a description an engineer recognises as accurate and a founder can repeat to a board.
Firmware Lab, an embedded firmware and IoT engineering practice, faced exactly this challenge: make deep embedded-systems expertise understandable to technical buyers without oversimplifying it. Two decisions on its site are worth copying.
- Name first, discipline second. Buyers confirm who they are hiring before they read what the person does, so the identity comes before the capability list.
- The stack in plain words. MCU (the microcontroller that runs the device), RTOS (a real-time operating system that schedules its tasks) and secure cloud, stated in one line. Those are the terms a technical buyer scans for, and stating them plainly signals depth without a wall of acronyms.
Apply the same test to your own homepage. Within the first two sentences, a visitor should know whether you design hardware, write firmware, build the cloud side, or do all of it, and for what kind of product. Then name the platforms and protocols you genuinely work in: the chip families, the operating systems (Zephyr, FreeRTOS, embedded Linux), the radios (Bluetooth Low Energy, Wi-Fi, LoRaWAN, cellular) and the cloud services. List only what you have shipped. An engineer will ask.
If you could truthfully lead with a dozen things, the guide to brand positioning for professional services explains how to choose the one to lead with.
Selling a broad offer, from hardware to cloud
Some IoT businesses really do cover the whole chain. That is a strength, but it is hard to communicate, because a long list of capabilities reads like a company that does everything and specialises in nothing.
ConceptKube had this problem: a broad IoT offer, spanning hardware, infrastructure, applications and production delivery, that needed to become one credible story for organisations building connected products. Its site makes four decisions that apply to any end-to-end offer:
- One action. The navigation carries a single call to action: a roadmap, not a sales call. A roadmap is useful to the buyer even if they never hire you, so it is an easier first step.
- Objections answered first. Three risk reducers sit above the headline, before a doubt has time to form.
- A promise with a date. Ship in six months. A deadline is a claim a buyer can hold the team to, which makes it more believable than "fast delivery".
- The enemy, named. The headline names fragmented teams, because juggling separate hardware, firmware and cloud vendors is the real cost the buyer is trying to avoid.
An end-to-end offer is not sold by listing every layer. It is sold by naming the cost of splitting those layers across vendors, and showing you remove it.
What should the website show a technical buyer?
For a technical buyer, the website is an evidence file. On the Firmware Lab site, every call to action opens evidence rather than a sales pitch: projects, the lab, GitHub. That is the standard to aim for. Useful evidence includes:
- Project write-ups that state the problem, the constraints (power budget, size, certification, cost per unit), the platform and the approach. Anonymise where needed; the reasoning matters more than the logo.
- Public code where it is yours to share: libraries, drivers, examples. A tidy repository says more about engineering standards than any paragraph.
- Technical articles on problems you solve repeatedly, such as secure over-the-air firmware updates, battery life on a Bluetooth device, or moving from a prototype board to production hardware.
- Your process, with phases and what the client receives at each one. Commercial buyers want to know what happens after they say yes.
- The people. Who will actually write the firmware, and what they have shipped before.
Be careful with claims you cannot back up. Certifications, partner programmes and client logos should appear only if they are current and you are permitted to show them. A technical reviewer who finds one inflated claim will discount the rest.
Which searches matter for IoT and firmware companies?
Technical buyers search the way they talk to each other: by platform, protocol, problem and deliverable. Broad phrases like "IoT company" attract students, job seekers and competitors. The searches that bring buyers look more like these:
| Type of search | Example | Page that answers it |
|---|---|---|
| Platform | "nRF52 firmware developer" | A capability page for that chip family |
| Operating system | "Zephyr RTOS consultant" | A page on your Zephyr work and approach |
| Protocol | "LoRaWAN sensor development" | A page per radio or protocol you ship |
| Problem | "secure OTA firmware update" | A technical article with your method |
| Deliverable | "IoT prototype to production" | A service page describing the phases |
These searches have small volumes, and keyword tools often show little or nothing for them. Do not let that put you off. One qualified enquiry for a product build can be worth a year of general traffic, and these searches are often answered by thin pages that a specific, well-written page can outrank. Google Search Console, Google's free tool showing which searches your site already appears for, will reveal real terms you are close to ranking for. If competitors with weaker engineering outrank you, the guide to why competitors rank above you explains what usually separates you.
Will AI tools recommend an IoT company?
Increasingly, a product owner asks ChatGPT or Perplexity something like "who can build firmware for a Bluetooth wearable?" before searching Google. These tools name businesses they can find clear, consistent facts about, and they check those facts against other sources.
Embedded firms are often at a disadvantage here. They are well known within their field but barely mentioned on the open web, because their best work is under NDA and their reputation travels by referral. To close the gap:
- State your platforms, protocols, sectors and location in plain text on the site, not only in images or PDFs.
- Add structured data, a small block of code that labels facts for machines, describing the organisation, its services and its people. The guide to schema markup for AI search covers which types matter.
- Earn mentions that confirm you: conference talks, open-source contributions, chip vendors' partner directories where you genuinely qualify, and client or partner pages that name you.
- Keep your name and description identical across the site, LinkedIn, GitHub and directories.
The guide to why ChatGPT recommends your competitor explains the mechanism in more depth, and the main AI search guide sets out the full method.
Where should you start?
Read your homepage as a product owner who has never heard of you, then as a senior firmware engineer. If the first cannot tell what you do and the second cannot see the stack, fix the first two sentences before anything else. Then build one page for each platform, protocol or problem your best clients came to you for, and attach real evidence to each.
If you want a structured view of where you stand, M/AFZAL's fixed-price Visibility Audit checks your most valuable searches on Google and what AI tools say about you against two competitors. For the wider picture across technical and specialist fields, see the guide to brand, website and search for specialist businesses, and the companion guide on SEO for engineering and manufacturing companies if you also make hardware at volume.
Straight answers.
The follow-up questions owners ask most.
- Should an IoT company publish prices?
- Fixed prices are rarely possible for custom hardware and firmware, but ranges and the factors that move them are. Saying what a discovery phase or a prototype typically involves, and what changes the cost, helps buyers qualify themselves before the first call.
- Is LinkedIn enough for marketing an embedded engineering firm?
- LinkedIn helps people who already know you see what you are working on. It does little for the engineer searching Google for a specific platform or problem, and AI tools read your website and third-party sources more than your posts.
- Can I show client work that is under NDA?
- Usually in part. You can often describe the problem, the constraints and the technical approach without naming the client or showing the product. Ask clients early whether an anonymised write-up is acceptable.
- Do IoT companies need a separate site for each product or service?
- Rarely. One site with a clear page per service, platform and sector is easier to maintain and builds authority in one place. A separate site makes sense only when a product is sold to a completely different buyer.