GEO for IT companies & dev shops: how to get cited by AI
Picking a dev contractor is an expensive decision, increasingly delegated to ChatGPT and Perplexity with «who should build my React/Go project». Getting cited takes more than a services page — you need metric-backed cases, proven stack expertise, and honest approach comparisons.
Where you lose AI answers
- AI recommends big directories (Clutch, Upwork) instead of your shop directly.
- Cases without concrete metrics read as marketing noise to AI engines.
- A blog or docs on a JS framework (CSR) is invisible — AI engines never read it.
How people ask AI
GEO checklist for this niche
Every case with numbers: −40% latency, +25% conversion, timelines. AI cites measurable outcomes.
Engineer profiles with knowsAbout and certs — Organization + Person for E-E-A-T.
Honest «X vs Y» and «alternatives to Z» pages — a common AI query format.
Render content server-side: AI engines don't run JS and miss CSR.
A short answer and a price range (MonetaryAmount) right under the section heading.
Want this done for your site — end to end?
FAQ
Why does AI cite directories, not us?
Aggregators offer structured data and metrics, while an agency landing page gives vague promises. Add metric-rich cases, engineer profiles, and comparisons — that's what AI extracts as fact.
Where do I start?
Move your blog and docs to SSR, publish 2-3 metric-backed cases and comparison pages with your team's stack, then run the site through the GEO checker.