Technical SEO & Answer Engine Optimization Built to Dominate Google & AI Search
Traffic that doesn't convert is vanity. I engineer data-driven technical SEO architectures, resolve deep crawl traps, wire nested entity graphs, and optimize for conversational AI engines (Google AI Overviews, Perplexity AI, SearchGPT, and Gemini) so your brand captures high-intent buyers.
The Turing LLM Engineering Advantage (AEO & GEO)
Traditional SEO agencies treat AI search like a black box. Having evaluated frontier LLMs and RLHF prompt-response architectures for US tech leaders at Turing, I engineer your content and entity footprint to match how modern neural retrieval and RAG pipelines evaluate factuality, citation authority, and vector embeddings.
Why Typical Agency SEO Fails to Drive Real Revenue
Generic agencies send 80-page automated PDF reports filled with zero-context warnings. Here is how rigorous, code-level engineering solves the underlying ranking barriers.
✕ Typical SEO Agency Retainers
- Automated software audits with zero custom technical remediation
- Focuses on low-intent informational keywords that bring zero buyers
- Ignores Core Web Vitals, letting heavy JS destroy mobile rankings
- Completely unprepared for the shift to Google AI Overviews and Perplexity
- Vague monthly reports hiding a lack of real revenue generation
✓ Ahmad Irfan Technical SEO Engineering
- Direct code fixes in your templates, robots.txt, sitemaps, and server headers
- High-intent commercial keyword clustering targeting ready-to-buy prospects
- Sub-second speed tuning eliminating LCP, CLS, and mobile INP bottlenecks
- Entity graph optimization wiring your brand into Wikidata and Knowledge Graph nodes
- Clear, transparent Search Console and GA4 reporting tied to business conversions
Complete Technical & AI Search Deliverables
A comprehensive suite of technical, semantic, and structural optimization services designed for sustainable organic market leadership.
80-Point Technical Crawl Audit
Deep diagnostic analysis of crawl budgets, indexation bloat, canonical tags, 301 redirect chains, HTTP status codes, and server response times using Screaming Frog and GSC.
Core Web Vitals Remediation
Hands-on engineering fixes moving LCP < 1.5s, INP < 100ms, and CLS to 0. Eliminates render-blocking CSS, minifies JS payloads, and optimizes resource loading priorities.
Schema.org Entity Graphs
Deeply nested JSON-LD linked data schemas (Organization, Person, Service, FAQ, Product) connecting your brand to authoritative Knowledge Graph entity nodes.
Answer Engine Optimization (AEO)
Structuring question-and-answer micro-summaries and high-density data tables optimized for zero-shot extraction by Google AI Overviews, Perplexity AI, and SearchGPT.
Commercial Keyword Clustering
Mapping high-intent bottom-of-funnel keywords to dedicated landing pages, eliminating internal keyword cannibalization and accelerating Page 1 rankings.
Analytics & Conversion Tracking
Server-side Google Tag Manager, GA4 custom conversion events, and Google Search Console performance monitoring with zero site-speed degradation.
The 5-Step SEO Acceleration Process
A structured, algorithmic methodology designed to achieve steady organic traffic compounding.
Full crawl inspection, index bloat diagnosis, server log analysis, and Core Web Vitals profiling.
Direct code-level remediation of canonicals, internal link hierarchies, schema, and page speeds.
Cluster high-value commercial search terms and structure semantic content outlines for target pages.
Inject nested JSON-LD graphs, disambiguate entity nodes, and optimize for AI answer citations.
Continuous Search Console query monitoring, algorithmic adjustment, and monthly conversion tracking.
Enterprise SEO Technology Suite
Professional intelligence software used to extract competitive advantages and monitor search behavior.
SaaS Platform: +240% Organic Impressions in 90 Days
Eliminated 1,400 orphan index pages, implemented nested SoftwareApplication Schema, and resolved a critical mobile INP issue. Search traffic jumped from 4,200 to 14,800 monthly clicks.
Read the Full Case Study →The 80-Point Technical SEO & Crawl Budget Engineering Audit
Most websites waste 40–60% of their Googlebot crawl budget on infinite faceted navigation loops, duplicate URL parameters, and unindexed internal redirects. We reconstruct your technical foundation from the server logs up.
Server Log File Analysis
We analyze raw Apache, NGINX, and Cloudflare access logs to see exactly how Googlebot, Bingbot, and PerplexityBot crawl your site in real time—identifying wasted crawl frequency on low-value URLs and dead-end redirects.
Internal PageRank & Silo Architecture
Flat information architecture with zero orphan pages. We build topical content clusters and contextual breadcrumb trails that flow search equity directly to your highest-converting commercial service and product URLs.
JavaScript Hydration & Render Budget
Modern React, Vue, and heavy script setups often fail because Googlebot defers client-side rendering. We engineer server-side rendering (SSR), static pre-rendering, and critical schema injection to ensure search crawlers parse 100% of your content instantly.
AEO & GEO: Engineering Brand Citations for LLMs & AI Search
Traditional search engines match keywords. Frontier AI engines (Perplexity, ChatGPT Search, Claude, and Google AI Overviews) evaluate semantic triples, entity confidence scores, and knowledge graph verification. Drawing from 6 months at Turing evaluating LLMs, here is how we make your brand the definitive AI answer.
🧠 Semantic Triple & Entity Grounding
- Wikidata & SameAs Graph Linking: Connects your brand, founder, and products to recognized global entity databases to resolve disambiguation.
- Subject-Predicate-Object Content Formatting: Answers formatted so RAG (Retrieval-Augmented Generation) parsers extract factual definitions with zero hallucination.
- Information Gain Scoring: Proprietary data, primary case study stats, and unique author commentary that AI search models prioritize over regurgitated content.
- Nested Schema.org @graph Hierarchies: Multi-tiered JSON-LD tying Organization, Person, Service, and FAQPage into one unified machine-readable web.
🎯 AI Citation & Brand Authority
- Perplexity Source Selection Optimization: Structured heading tags and direct answer blocks designed for Perplexity's citation extraction algorithms.
- Google Gemini & SGE Grounding: Formats technical specs and pricing matrices for direct inclusion in Google's AI Overview summary boxes.
- Digital PR & Unlinked Entity Mentions: Generates authoritative editorial citations across niche industry publications that feed frontier training datasets.
- Continuous LLM Citation Tracking: Regular diagnostic prompt testing across ChatGPT, Perplexity, and Gemini to track share of voice and citation frequency.
Frequently Asked Questions
Straightforward answers about technical search optimization.
What is the difference between Technical SEO and General SEO?
General SEO typically focuses on keyword placement in blog articles and basic link building. Technical SEO focuses on the underlying infrastructure of your website: server response times, DOM complexity, Core Web Vitals, canonical architecture, crawl efficiency, index bloat, and structured Schema.org markup. Without solid technical SEO, even the best content cannot rank well on Google.
What is Answer Engine Optimization (AEO) and why does it matter?
AEO (and Generative Engine Optimization / GEO) optimizes your content and entity graph so conversational AI platforms (Google AI Overviews, Perplexity AI, ChatGPT Search, and Gemini) extract and cite your business as the definitive answer. With more users getting answers directly from AI without clicking links, AEO ensures your brand remains visible and recommended.
How long does it take to see tangible ranking improvements?
Technical fixes (such as fixing indexation errors, unblocking crawl traps, or passing Core Web Vitals) often produce noticeable improvements in Google Search Console within 2 to 4 weeks. Competitive commercial keyword moves and sustained organic revenue gains typically compound over 60 to 90 days as Google re-evaluates page quality and entity authority.
Do you fix the code issues yourself or just hand over a checklist?
Unlike traditional consultants who merely send generic PDF recommendations, I am a web engineer. I write and commit the direct code changes to your WordPress, Shopify, or custom codebase—fixing the speed bottlenecks, schemas, and template issues directly.
How do you report progress and rankings?
You receive transparent, plain-English monthly reports backed by Google Search Console and Google Analytics 4 data. You will see exact impressions, clicks, average ranking positions, and most importantly, commercial conversion metrics—with zero vanity agency jargon.
How do you guarantee that our brand gets cited by Perplexity, ChatGPT Search, and Google AI Overviews?
By optimizing for Information Gain and entity consensus. Frontier AI models use semantic vector embeddings to rank candidate answers; they cite sources that provide concise, authoritative factual definitions corroborated by structured Schema.org data and verified third-party references. Having evaluated LLM outputs at Turing, I engineer your content architecture specifically to meet these model retrieval thresholds.