I help personal brands, startups and businesses show up on Google and get cited when people ask ChatGPT, Gemini, Perplexity or Claude. I'm a Full Stack AI Engineer, so I fix SEO in the code itself, not just in a report.
A full crawl of your site the way Googlebot and Bingbot see it, then the fixes shipped in code.
Indexing, canonical, redirect and sitemap fixes
Core Web Vitals (LCP, INP, CLS) performance work
Metadata, Open Graph and social preview images
Search Console and Bing Webmaster Tools setup
AI Search Optimization (GEO & AEO)
Get cited when people ask ChatGPT, Gemini, Perplexity, Claude or Google AI Overviews about you or your niche.
AI crawler access (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot)
llms.txt and llms-full.txt knowledge files
Answer-first content and FAQ blocks that models can quote
Before/after AI visibility checks for your key questions
Personal Brand & Entity SEO
Make search engines understand exactly who you are, so your name search shows your site, photo and profiles.
Person, Organization and ProfilePage structured data
sameAs linking across LinkedIn, GitHub and other profiles
Name disambiguation from people with similar names
Knowledge panel and Wikidata readiness plan
Content & Blog SEO
Articles structured to rank on Google and to be quoted by AI answer engines.
Keyword and question research for your audience
BlogPosting schema, breadcrumbs and internal linking
Per-article social images and RSS feed
IndexNow submission on every publish
Case study: this website
The best proof is the site you are on. This is what I did to make “Abdul Rahman Azam” resolve to one clear person for search engines and AI assistants. Each item links to something you can check yourself.
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One entity, described the same way everywhere
Person, Organization, ProfilePage, FAQPage and BlogPosting structured data in a single linked graph, with sameAs links to LinkedIn, GitHub, LeetCode and more.
Open to AI crawlers, with a knowledge file for them
robots.txt explicitly welcomes GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and Google-Extended, and llms.txt gives language models a clean, citable profile.
Self-referencing canonicals on every page, a generated XML sitemap with real last-modified dates, an RSS feed, and IndexNow pings to Bing on every deploy.