RHBlake’s research showing a technical-specificity gap supports a simple principle: give serious buyers enough substance to make progress without a sales call.

Real-world examples create confidence

RHBlake’s thought-leadership research found that 93% of buyers value real-world examples. In semiconductor marketing, that does not have to mean a conventional testimonial. A reference design, benchmark, evaluation result, partner implementation, or detailed application example may be far more useful to an engineer.

The example should make the operating context explicit. A claim that a device ‘improves performance’ is weaker than showing the design constraint, test condition, architecture, and observed result.

Structure content so people and machines can use it

For AI and LLM search, clear entity naming, definitions, comparison tables, descriptive subheads, specifications with context, and concise answer paragraphs make technical pages easier to retrieve and summarize. The same structure helps engineers scan quickly.

Cite standards, product documentation, and first-party research where appropriate. Keep claims precise. Technical content gains authority when another system can trace the statement back to a credible source.

For a technical buyer, the best asset is usually the one that removes the next uncertainty. That might be architecture, interoperability, performance under a specific condition, implementation guidance, or evidence that the supplier understands the intended application.

RHBlake’s semiconductor work with onsemi and Synaptics illustrates this at a practical level. Marketing support has included technical webpages, white papers, videos, product-launch content, and application-focused materials around complex semiconductor platforms. Those formats are useful because they answer different questions at different points in evaluation rather than repeating the same product claim in multiple media.

Technical content should map to the engineering question

What this looks like in practice

Engineers routinely move between a datasheet, an application note, a reference design, a distributor page, and a forum or independent source while evaluating a component. Those assets should agree on terminology, limits, use cases, and differentiators. Small inconsistencies create unnecessary doubt and make machine-generated answers less reliable too.

Semiconductor content should shorten the distance between “this might fit” and “I can evaluate this confidently.” The most useful content library is organized around the engineering decisions that have to happen in between.