You will get an AEO and GEO ready-state package so ChatGPT and Perplexity cite your URLs
Project details
Your URL should show up when someone asks ChatGPT, Perplexity, or Gemini a question in your space. Standard SEO consulting does not ship for that. This package does.
What I deploy (production-tested across multiple clients): llms.txt at root with prioritized content map for crawler agents; FAQPage on commercial-intent pages, structured to answer-engine query patterns; Speakable on the canonical answer block of each guide; Direct Answer pattern (H1 is the question, P is the 50-word answer, rest is elaboration); entity bridges (sameAs to Wikidata and your authoritative profiles) so the engines have a stable identity for you.
What I will NOT do: vague advice, generic schema dumps, or AI-content-spam to fake topical authority. Every change is targeted, verifiable, and additive to your existing Google SEO ranking.
Background: I architect a multi-tenant AI publishing stack that ships 22+ JSON-LD types daily on a 100-article-per-day local news platform. AEO/GEO is the layer above that, where answer engines pick winners.
What I deploy (production-tested across multiple clients): llms.txt at root with prioritized content map for crawler agents; FAQPage on commercial-intent pages, structured to answer-engine query patterns; Speakable on the canonical answer block of each guide; Direct Answer pattern (H1 is the question, P is the 50-word answer, rest is elaboration); entity bridges (sameAs to Wikidata and your authoritative profiles) so the engines have a stable identity for you.
What I will NOT do: vague advice, generic schema dumps, or AI-content-spam to fake topical authority. Every change is targeted, verifiable, and additive to your existing Google SEO ranking.
Background: I architect a multi-tenant AI publishing stack that ships 22+ JSON-LD types daily on a 100-article-per-day local news platform. AEO/GEO is the layer above that, where answer engines pick winners.
Language
EnglishWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,800
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 30 days |
Featured Snippet Keyword Research | - | - | - |
Content Creation | - | - | - |
Website Voice Audit | - | - | - |
Technical Voice SEO | - | - | - |
About Kagan
AI-Powered SEO + AEO - Next.js + Entity Graphs - 2M Impressions
Bucak, Turkey - 4:23 am local time
I build programmatic SEO systems and AI Answer Engine Optimization (AEO) pipelines that make sites visible not just in traditional search, but inside AI-generated answers. My work is measurable: a news portal I engineered from scratch reached 2,000,000+ Google impressions per month in under 8 weeks — growing from 256K in May to 2.05M in June 2026 (verified via Google Search Console). The engine behind it: 1,300+ auto-generated entity pages powered by a custom knowledge graph (Wikidata + Schema markup), ranking for thousands of "who is X / what is X" queries that feed directly into AI citation pools.
What I deliver:
— Programmatic SEO architecture (NextJS 15, App Router, TypeScript, Prisma + PostgreSQL)
— Entity and knowledge-graph systems: Schema markup, JSON-LD, Wikidata integration
— AEO pipelines: structured content engineered to be cited by ChatGPT, Perplexity, Google AI Overviews
— AI content automation: classification, rewriting, tagging at scale (Claude, Gemini)
— Core Web Vitals optimization (LCP, INP, CLS) — technical SEO, not guesswork
I work entirely async with detailed written updates at every stage. No calls required — you get thorough documentation of every decision, not a rushed verbal debrief. 13 production sites launched and ranked. My portfolio includes a local-service site hitting position 3-4 for competitive local queries within weeks of launch.
If your site is not appearing in AI-generated answers yet, that window is closing fast. Let's talk scope — send me a message describing your site and your target queries.
Steps for completing your project
After purchasing the project, send requirements so Kagan can start the project.
Delivery time starts when Kagan receives requirements from you.
Kagan works on your project following the steps below.
Revisions may occur after the delivery date.
Deploy and verify
Deploy llms.txt, FAQPage, Speakable, Direct Answer, and entity bridges. Verify each via Google Rich Results Test and a citation test prompt in Perplexity.