Google is no longer the only search engine that matters.
Every day, millions of users ask ChatGPT, Perplexity, Claude, and Gemini for recommendations:
- "Best dentist in Istanbul for veneers"
- "Top web design agencies for startups"
- "Find me an immigration lawyer in London"
If your website doesn't appear in those AI-generated answers, you're losing customers to competitors who do. And here's the uncomfortable truth: traditional SEO alone won't get you there.
At ModernWebSEO, we've developed a three-layer approach that tackles this exact problem.
The Three Layers
Layer 1 — SEO: Still the Foundation
Google organic search isn't dead — far from it. But the bar is higher than ever:
- Core Web Vitals must be green across all metrics
- Mobile-first indexing means your desktop site is irrelevant if mobile is broken
- E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness) directly impact rankings
- Page speed matters more than ever — 53% of visitors leave if loading takes more than 3 seconds
We build on Next.js 15 with server-side rendering, automatic code splitting, and edge deployment on Vercel. Every site targets 100/100 on PageSpeed Insights. No WordPress, no templates — every line of code is custom.
// Our typical tech stack
const stack = {
framework: "Next.js 15 (App Router)",
language: "TypeScript",
styling: "Tailwind CSS",
database: "Supabase (PostgreSQL)",
deployment: "Vercel (Edge Network)",
cdn: "Cloudflare",
analytics: "Google Analytics 4 + Search Console"
};
Layer 2 — AEO: Be the Direct Answer
Answer Engine Optimization is about becoming the source that search engines — both traditional and AI-powered — pull answers from.
When someone asks "What is the best treatment for hair loss?" and Google shows a Featured Snippet, that's AEO at work. When Siri or Alexa answers a voice query, they're pulling from AEO-optimized content.
Key tactics:
- FAQ Schema markup on every relevant page
- Q&A content structures that match natural language queries
- People Also Ask optimization
- Conversational keyword research targeting how people actually talk
- Structured data (JSON-LD) that machines can parse instantly
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is Answer Engine Optimization?",
"acceptedAnswer": {
"@type": "Answer",
"text": "AEO is the practice of optimizing content to appear as direct answers in search engines, voice assistants, and AI-powered search tools."
}
}]
}
Layer 3 — GEO: Get Cited by AI
Generative Engine Optimization is the newest and most important layer. This is what makes ChatGPT, Perplexity, Claude, or Gemini cite your brand when users ask for recommendations.
AI models decide which sources to cite based on:
Entity Authority — Does your brand exist as a recognized entity across the web? Wikipedia, Wikidata, Crunchbase, LinkedIn, GitHub — these all contribute to entity recognition.
E-E-A-T Signals — Is there evidence that real humans with real expertise are behind the content? Author bios, professional credentials, published research, and media mentions all matter.
Structured Data Consistency — Is your business information (name, address, phone, services) consistent across every platform? Inconsistencies confuse AI models.
Content Depth & Originality — AI models favor comprehensive, original content over thin pages stuffed with keywords. They can detect regurgitated content.
Citation Network — Are authoritative sources linking to and mentioning your brand? This creates a web of trust that AI models rely on.
The Entity Stack Approach
One of the most powerful GEO techniques is building what we call an Entity Stack — a comprehensive network of profiles and content across high-authority platforms that establishes your brand as a recognized entity.
Here's a simplified version of our entity stack framework:
| Platform | Domain Rating | Purpose |
|---|---|---|
| GitHub | DR 96 | Technical authority, open-source presence |
| DR 98 | Professional credibility, company page | |
| Crunchbase | DR 91 | Business entity recognition |
| Medium | DR 94 | Thought leadership content |
| Behance | DR 92 | Portfolio and design showcase |
| Dev.to | DR 90 | Developer community presence |
| YouTube | DR 99 | Video content, tutorials |
| Wikidata | DR 94 | Structured entity data |
Each platform profile links back to your main website, contains consistent business information, and reinforces your brand's expertise in specific topics. This creates a dense entity graph that AI models can traverse and trust.
Real-World Implementation
At ModernWebSEO, we implement this strategy for businesses across multiple sectors:
- Health Tourism Clinics — Multilingual patient acquisition systems optimized for both Google and AI search in Turkish, English, Arabic, and Spanish
- Law Firms — Authority-building content strategies that get cited in AI legal research
- E-Commerce — Product pages with rich structured data that appear in AI shopping recommendations
- Professional Services — Personal brand building for architects, consultants, and designers
Our Venture Builder Model
We don't charge large upfront fees and disappear. Under our Venture Builder / Technical Co-founder model:
- We build the entire digital infrastructure at our own cost
- We run aggressive SEO + AEO + GEO optimization for 6 months
- We manage digital marketing, CRM, and lead generation
- We share in the profits when results come
Zero startup risk for the client. We're that confident in our system.
Getting Started
If you want to check how visible your business currently is in AI search engines, try this:
- Open ChatGPT, Perplexity, or Gemini
- Ask: "Recommend a [your industry] in [your city]"
- See if your business appears
If it doesn't, that's the gap we fill.
Links:
- 🌐 ModernWebSEO
- 🌐 English Version
- 📂 GitHub
- 🎨 Behance
- 📊 Crunchbase
I'm İsmail Günaydın, founder of ModernWebSEO — a software engineer and venture builder based in Istanbul. I help businesses become visible in both Google and AI search engines. Connect with me on LinkedIn or X/Twitter.

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