Modern Search Engineering

SEO, AEO & GEO Optimization: Rank on Google. Get cited by AI.

We engineer modern search visibility across all three waves of internet discovery: traditional Google search algorithms, AI citation engines (ChatGPT, Claude, Perplexity), and agentic task completion. Built by technical software engineers — not keyword-stuffing marketers.

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3.8×Average Organic Traffic Growth
<1.2sLargest Contentful Paint (LCP)
Top 3High-Intent SERP Rankings
100%AI Crawler Indexing Coverage

Search Engineering Capabilities

The Three Waves of Modern Search

Full Technical Crawl & Indexing Audit

Deep crawl analysis of site architecture, canonical tag integrity, crawl budget efficiency, and elimination of rendering bottlenecks.

Core Web Vitals Engineering

Code-level remediation for LCP (<2.5s), INP (<200ms), and CLS (<0.1) metrics with real user monitoring (RUM) verification.

JSON-LD Structured Data & Schema Graph

Comprehensive schema graphs (Organization, Service, FAQPage, Article, Breadcrumbs) to capture Google rich snippets and knowledge panels.

AEO (AI Engine Optimization) & LLMs.txt

Implementation of llms.txt, AI-aware robots.txt, and clean token-budgeted markdown endpoints for direct ChatGPT, Claude, and Perplexity ingestion.

Topical Authority & Content Clustering

Search intent mapping, long-tail keyword cluster strategy, and cannibalization prevention to establish undeniable domain authority.

WebMCP Agentic Task Readiness

Declarative WebMCP attribute markup enabling next-generation AI browsing agents (Chrome AI, Edge Copilot) to discover and complete actions on your site.

System Architecture & Deep Engineering

Detailed technical search framework.

Wave 1: Technical Crawlability & Core Web Vitals

Ensuring traditional Google and Bing crawlers can discover, crawl, and render every high-intent page with zero execution delays.

  • Time to First Byte (TTFB) reduction to sub-100ms with global edge CDN caching
  • Elimination of render-blocking JavaScript and automated Critical CSS inlining
  • Automated XML sitemaps with daily update triggers and canonical URL integrity validation
  • Pagination, faceted navigation, and crawl budget waste remediation for large catalog architectures

Wave 2: AI Engine Optimization (AEO) & Citations

Structuring digital presence so large language models (ChatGPT, Claude, Perplexity, Google Gemini) cite your brand as an authoritative source.

  • Standardized llms.txt and llms-full.txt machine-readable documentation endpoints
  • AI-aware robots.txt configuration allowing PerplexityBot, GPTBot, ClaudeBot, and Google-Extended
  • Token-budgeted semantic markdown alternatives ensuring content fits within LLM context windows
  • Entity-level factual alignment ensuring accurate AI summarization without hallucinations

Wave 3: WebMCP Agentic Task Completion Readiness

Implementing W3C Web Model Context Protocol (WebMCP) draft standards enabling autonomous browser agents to perform actions.

  • Declarative HTML form markup with data-mcp-action, data-mcp-description, and data-mcp-params
  • Publication of machine-readable /mcp-actions.json discovery endpoints linked in HTML head
  • Elimination of agent-hostile barriers (inaccessible custom JS datepickers, mandatory auth walls)
  • Validation across reference Chromium and Edge Copilot browser agent environments

Semantic JSON-LD Graph & Entity Engineering

Building deeply interconnected Schema.org knowledge graphs that establish domain E-E-A-T and win Google Rich Snippets.

  • Nested Organization, Service, and OfferCatalog entity definitions
  • Granular Service, OfferCatalog, and ItemList markup on all commercial product offerings
  • Schema.org FAQPage microdata on key commercial intent pages to dominate SERP real estate
  • Semantic BreadcrumbList schemas and speakable markup for voice and multimodal search

Knowledge & Engineering Standards

Visual Systems, UI/UX & Technical SEO Guides

Explore deep technical insights, architectural blueprints, and engineering standards authored by our senior engineering architects.