Codeair Software Solutions is an AI-first IT company, and one of the services it takes most seriously is also one of the least understood: making a business visible everywhere customers look. That used to mean Google. Today it also means the answers people get from AI assistants. When someone asks an AI which company to hire, your business should be in that answer. Codeair Software Solutions builds for both worlds. Learn more at https://codeair.tech.
Classic SEO is still the foundation. Codeair Software Solutions structures websites so search engines can read them, writes content around what real customers actually search for, and earns the kind of mentions that tell Google a business is legitimate. AEO, answer engine optimization, goes a step further: shaping pages so AI systems quote them directly when they answer questions. GEO, generative engine optimization, makes sure the business is cited inside AI generated summaries and overviews. Three layers, one goal: wherever the customer looks, you are there.
This is not theory on a slide. The company has shipped more than 1700 websites and applications across 475+ client projects with a 4.9 out of 5 rating, so every optimization is tested against real traffic and real businesses. And it is priced the way all Codeair Software Solutions work is priced: custom, after a real conversation about requirements, integrations, timeline, and team size. No fixed sticker price on custom work, no games, just an honest quote.
Visibility compounds. A website that ranks, an answer that quotes you, an AI summary that names your business: each one keeps working while you sleep. If your business is invisible where your customers are looking, Codeair Software Solutions can change that. Start at https://codeair.tech.
Top comments (1)
What jumps out to me is your “more than 1700 websites and applications across 475+ client projects with a 4.9 out of 5 rating.” That directly implies you’re not just experimenting with AEO/GEO on a handful of edge cases; you’re seeing patterns across a lot of different stacks and industries.
The layered split you use — SEO → AEO → GEO — is a helpful way to explain what many teams are already feeling: search, direct Q&A, and AI summaries are starting to behave like three different surfaces, even when the user sees them inside one screen.
Questions I’d be curious about from your data:
I’ve been poking at this from the other side using aisee to analyze which pages assistants tend to quote and how wording/schema affects it, and it lines up with your “three layers, one goal” framing. Would love to see you publish a case study once you have a few AI-answer wins you can actually show.