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Content, SEO and GEO for developer tools

This is technical content, SEO, and GEO for companies that sell to engineers. I write the articles, docs, and comparison pages that rank on Google and get quoted by AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. It is built for technical founders and early marketing leaders who know their buyers ignore fluff and can smell a content farm from three scrolls away.

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What the work actually is

I plan and write content that a developer will trust and a search engine will rank. That means articles with working code, real error handling, and opinions that hold up under scrutiny. Not 800 words of definitions restating the docs, and not AI slop with a keyword stuffed in every header.

The scope is technical articles, documentation treated as a ranking asset, comparison and alternative-to pages, and the on-page and technical SEO that makes all of it findable. I do keyword and query research grounded in how engineers actually search, then I write, edit, and ship. I have run this playbook inside 30-plus companies, so I know which pages earn pipeline and which ones just pad a content calendar.

Why devtools SEO is a different sport

Developers do not search like your mom does. They paste an error message into Google, they look up how to integrate X with Y, and they type X vs Y when they are deciding between two tools. The head terms your SEO agency wants to chase are mostly bought by competitors and read by nobody who will convert. The money is in the long tail.

That changes what you write and how you write it. A stack trace query needs the exact error string in the title and a fix that works in the first code block. An integration query needs a real, runnable walkthrough. A comparison query needs an honest table, not a rigged one that pretends you win every row. And your documentation is a first-class ranking and GEO asset, so I treat docs like content instead of leaving them to rot in a separate repo nobody optimizes.

How GEO and AI citations actually work

GEO is generative-engine optimization: getting your product named and cited when someone asks ChatGPT, Perplexity, or Google AI Overviews a question in your category. It is not a mystery and it is not a growth hack. Answer engines pull from pages that state a clear claim, back it with specifics, and structure the answer so a model can lift it cleanly.

So I write for extraction. Direct answers up top, definitions a model can quote verbatim, structured comparisons, and specifics instead of vague marketing verbs. The same discipline that makes a page quotable by an AI makes it useful to a human reading it at 1am, which is the point. GEO and SEO are not two projects. They are the same well-built page doing two jobs.

What results look like

At Zerve I grew organic blog sessions 537.8 percent year over year, from 291 to 1,856, and shipped 50-plus SEO and GEO posts that pulled in 394K blog impressions. One post ranked number 2 on Google for its non-branded query within 8 weeks, earned a Google AI Overview citation, and became the highest-traffic post on the blog at 1,654 sessions.

On the GEO side I took a client to number 2 for AI visibility in their category, cited by ChatGPT, Perplexity, and Google AI Overview, ahead of Jupyter, Deepnote, and Hex. That is what winning the answer box looks like when your buyers ask a machine before they ask a salesperson. I am not promising you those exact numbers. I am telling you the work is repeatable and I have receipts.

How an engagement runs

It is a monthly retainer, starting at $3,500 in USD, billed through Rare Bird Lab, a US S-corp. I work Monday through Thursday, I am American, based in Spain, and I cover EMEA and North America without you doing timezone math.

We start with a short audit: what ranks now, where the long-tail and comparison gaps are, and which pages are one rewrite away from citations. Then I build a prioritized queue and ship on a steady cadence, writing and editing the pages myself rather than farming them to a pool of freelancers who have never touched your product. You get the work, the reasoning behind it, and plain-language reporting on what moved. No 40-slide monthly deck nobody reads.

Inventory

What this covers

Long-form technical articles structured to rank on Google and to be quoted by AI answer engines

Keyword and query research built on how developers actually search, including error, how-to, and integration queries

X vs Y comparison and alternative-to pages that hold up to a skeptical engineer

Documentation treated as a first-class SEO and GEO asset, optimized alongside your marketing content

On-page and technical SEO: titles, structure, internal linking, and schema that helps you get pulled into answers

GEO tuning for ChatGPT, Perplexity, and Google AI Overviews, writing pages for clean extraction and citation

Plain-language reporting on rankings, organic sessions, and AI citations, with the reasoning behind each move

“We brought Summer in at Zerve when we needed content that could actually drive organic search, and the results were hard to argue with. Blog traffic grew over 500% year over year, with individual posts ranking and pulling real traffic within weeks of publishing.”

PHILY HAYES · CO-FOUNDER & CEO, ZERVE
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Questions on this service

How is GEO different from SEO, and do I need both?

SEO gets you ranked on a search results page. GEO gets you named and cited when someone asks an AI a question instead of typing into Google. You need both because your buyers now do both, often in the same afternoon. The good news is a well-built page does both jobs, so this is one workstream, not two invoices.

Can you write content that developers will not immediately dismiss?

Yes, that is the entire point. I write with real code, real error handling, and opinions that survive a technical read, and I run drafts against the way engineers actually evaluate a tool. If a page reads like it was generated to hit a word count, it does not go out. Your buyers can tell the difference, so I make sure there is a difference.

How fast will I see results?

Rankings take time, so anyone promising overnight page-one results is lying to you. Realistically you see early movement on long-tail and comparison pages in the first couple of months, with compounding gains as the library grows and pages age into authority. At Zerve one post hit number 2 within 8 weeks, but I treat that as a strong case, not a guarantee I hand every client.

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