Content marketing for technical audiences
Your buyers now ask AI which vendors to trust. We produce deep, engineer-authored content that puts your brand in those answers, earns the citations behind them, and ranks in the Google results both are built on, turning all of it into organic sales leads for companies that sell to technical audiences.
Monthly traffic we produce for our clients
Our authors are practicing engineers who work with these technologies every day, briefed on your product before they write a word.
The shift
Technical buyers open ChatGPT, Perplexity, Gemini, and Google AI Overviews to shortlist vendors before they ever reach your site. In that answer, your brand is either one of the names the model puts forward or absent from a shortlist your buyer never questions.
How answer engine optimization works
Answer engines decide which vendors to name and which sources to cite behind them. Both go to content that is credible, comprehensive, and technically deep enough to actually answer the question.
Written by people who have done the work, so the detail holds up to an engineer's scrutiny.
Long-form guides that answer the whole question, not a thin post that stops at the definition.
Diagrams, code, and real trade-offs that AI engines and readers treat as a primary source.
The foundation
AI engines pull from live search results, so a first or second page ranking on Google is the precondition for being cited. It all starts with keyword research grounded in the language your buyers actually use.
One engineer-authored article, working from search rankings to sales leads
Why our content performs
The best way to reach engineers is with the help of other engineers.
Our content is authored by active, practicing engineers who use these tools in production, then polished by professional editors. That is the difference between content buyers trust and content they scroll past.
Most agencies lean on generalist writers, thin research, or AI drafts. Engineers spot the difference in seconds, and so do the AI systems trained on how engineers read. That same depth is exactly what makes an article rank in search and get cited by AI.
How it works
We map the search queries and AI prompts your buyers use, then find the winnable topics with real demand.
Practicing engineers write long-form articles aligned with your product's value proposition.
Every draft is checked for technical accuracy by a peer, then polished by a professional editor.
We publish, track performance across search and AI, and optimize for organic sales leads.
How we prove it works
We track how you show up in AI answers across many prompts over time, because AI responses vary and a single spot-check tells you nothing.
How often your brand is mentioned in AI responses.
How favorably AI platforms characterize your reputation and product.
How often your site is the source an AI answer cites.
Plus the classic search metrics: impressions, clicks, click-through rate, rankings, time on page, engagement, and conversions into your funnel, reported alongside the AI metrics above in a single dashboard.
Results
Organic impressions and 49.2K visits from 9 articles in about 12 months for one client.
Monthly impressions, grown from zero by publishing one long-form article a week.
Of one client's organic traffic came from AI engines in a recent case study. In a separate 148-prompt sample, 96% of AI answers that named a brand described it positively.
What we produce
Long-form, 2,000-plus word articles built to rank in search and be cited by AI.
Product evaluations, listicles, and comparisons that shape how AI describes your category.
Solution and use-case pages that convert organic visitors into leads.
Bottom-of-funnel assets written for technical and executive buyers.
Micro-content and outreach that extend the reach of every article you publish.
Narrated decks and visuals that repurpose your strongest content for new audiences.
Our work
We specialize in content for technical audiences across cloud, DevOps, cybersecurity, data, and machine learning. Here are guides we wrote, published on our clients' own sites.
Over 4,000 Kubernetes users visit this multi-chapter guide each month, searching for hundreds of keywords like "Kubernetes VPA".
Read guideA comprehensive guide created for a pioneer in the LLM-as-a-judge approach to evaluating AI systems.
Read guideThis collection of articles brings over a thousand highly targeted users of Red Hat technologies to our client's site monthly.
Read guideA guide created for the industry leader in security workflow automation, targeting security engineers.
Read guideLearn the techniques we use to rank and get cited. No forms to fill out.
Read guidesGet started
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