You will get a complete JSON-LD and Schema audit plus fix on your top 50 URLs in 5 days
Project details
You will get a complete JSON-LD and Schema audit on your top 50 URLs, plus the fix shipped as a clean PR or written changeset. I work the way production news platforms work - schema is not decoration, it is the difference between being eligible for rich results and being invisible.
What I will check on each URL: @type correctness and nesting, missing required fields (especially headline, author, datePublished, image for NewsArticle), aggregateRating presence on commercial pages, FAQPage opportunities on guides, Speakable on canonical answers, sameAs to Wikidata or authoritative profiles, mainEntityOfPage canonicalization. Eligibility verified against Google Rich Results Test.
What I will not do: vague advice, generic schema dumps, or anything that bloats your page without a measurable rich-result reason. Every change has a reason and a verification.
Background: I ship 22+ JSON-LD types per article on a 100-article-per-day local-news platform across 81 provinces. I know what gets indexed and what gets ignored.
What I will check on each URL: @type correctness and nesting, missing required fields (especially headline, author, datePublished, image for NewsArticle), aggregateRating presence on commercial pages, FAQPage opportunities on guides, Speakable on canonical answers, sameAs to Wikidata or authoritative profiles, mainEntityOfPage canonicalization. Eligibility verified against Google Rich Results Test.
What I will not do: vague advice, generic schema dumps, or anything that bloats your page without a measurable rich-result reason. Every change has a reason and a verification.
Background: I ship 22+ JSON-LD types per article on a 100-article-per-day local-news platform across 81 provinces. I know what gets indexed and what gets ignored.
Language
EnglishWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,250
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Site SEO Audit | |||
Index Optimization | - | - | - |
XML Sitemap | - | - | - |
Robots.txt | - | - | - |
Image Compression | - | - | - |
HTTPS Setup | - | - | - |
Penalty Removal | - | - | - |
Frequently asked questions
About Kagan
AI-Powered SEO + AEO - Next.js + Entity Graphs - 2M Impressions
Bucak, Turkey - 1:29 pm 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.
Page-by-page audit
Crawl your top 50 URLs, extract current schema, run each against Google Rich Results Test, document issues by page in a single tracking sheet.