AEO & GEO (ChatGPT, Perplexity, Gemini & AI Overview Citations)
Buyers now ask LLMs to shortlist vendors before ever clicking a blue link. We engineer your entity graph, `/llms.txt` endpoints, citation-ready TL;DR blocks, and cross-web authority signals so answer engines recommend your company first.
AEO & GEO (ChatGPT, Perplexity, Gemini & AI Overview Citations): Make your brand the primary cited answer inside ChatGPT, Perplexity, Claude, and Google AI Overviews. Buyers now ask LLMs to shortlist vendors before ever clicking a blue link. We engineer your entity graph, `/llms.txt` endpoints, citation-ready TL;DR blocks, and cross-web authority signals so answer engines recommend your company first. Primary production benchmark: +320% AI Share-of-Voice (ChatGPT · Perplexity · Gemini) delivered in 14–28 Days to Citation Lift.
1. Core Production Capabilities
RAG-Optimized TL;DR & Fact-Density Formatting
Every service and insight page opens with a 45–60 word executive synthesis, markdown comparison tables, and explicit entity definitions designed for LLM chunk retrieval.
Entity Graph (`sameAs`) & `/llms.txt` Standardization
Machine-readable `/llms.txt` and nested `Organization`, `Service`, and `TechArticle` JSON-LD graphs connecting your domain to verified social and directory profiles.
Multi-Model Prompt Share-of-Voice Tracking
Automated weekly evaluations across GPT-4o/o3, Perplexity Sonar, Gemini, and Google AI Overviews across your top 100 commercial buyer prompts.
2. 4-Stage Engineering & Deployment Blueprint
100-Prompt AI Visibility Baseline Audit
We query ChatGPT, Perplexity, Gemini, and Google AI Overviews across 100 buyer-intent prompts in your category to measure current citation share and competitor dominance.
On-Site Answer Block & `/llms.txt` Engineering
We deploy `/llms.txt`, restructure core pages with answer-first capsules, and inject high-density comparison tables and FAQ graphs.
Citation Hub & Third-Party Entity Corroboration
We align your social profiles (`@scrldev` pattern), GitHub docs, YouTube transcripts, and industry comparisons so LLMs verify claims across multiple trusted domains.
Continuous Prompt Regression & Drift Monitoring
Automated monthly re-scoring and content refresh loops whenever model weights or retrieval indices shift.
3. Legacy Agency Retainers vs. SCRL.dev Autonomous Architecture
| Architecture Dimension | Legacy Agency / Fragmented Stack | SCRL.dev Autonomous Spine |
|---|---|---|
| Optimization Target | Only tracks 10 blue links on Google desktop SERPs | Optimizes for Google SERPs + AI Overviews + ChatGPT + Perplexity + Gemini |
| Content Structure | 2,000 words of narrative fluff before answering the question | 45-word citation capsule at the top + verifiable benchmark tables |
| Entity Verification | Disconnected social accounts and missing schema markup | Unified Organization.sameAs graph across X, LinkedIn, GitHub, YouTube & CMS |
4. Frequently Asked Technical Questions
What is the difference between SEO, AEO, and GEO?
Traditional SEO ranks pages in search results; AEO (Answer Engine Optimization) captures direct featured snippets and voice/answer boxes; GEO (Generative Engine Optimization) structures facts, entities, and citations so LLMs like ChatGPT, Perplexity, and Gemini synthesize and cite your brand in conversational recommendations.
How quickly do changes appear in Perplexity and ChatGPT Search?
Real-time retrieval engines like Perplexity, ChatGPT Search, and Google AI Overviews reflect structural on-page and schema improvements within days of re-crawling.
5. Related Engineering & Growth Guides (6)
Generative Engine Optimization (GEO): The Complete Engineering Guide to ChatGPT & Perplexity Citations
How retrieval-augmented answer engines select, chunk, and cite authoritative sources—and the exact HTML, schema, and fact-density patterns that increase brand citation share by 320%.
AEO vs. GEO vs. Traditional SEO: The 2026 Technical Architecture Matrix
A side-by-side engineering comparison of ranking algorithms, RAG vector chunking, citation corroboration, and how to unify all three in a single Next.js + Payload CMS architecture.
How to Implement /llms.txt and /llms-full.txt dynamically in Next.js 16 & Payload CMS
Give AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) a clean, token-efficient Markdown map of your entire service catalog and technical documentation.
Engineering JSON-LD Entity Graphs & Organization.sameAs Corroboration for Google AI Overviews
How to connect your domain, founders, services, and social handles into a single `@graph` JSON-LD payload so search and answer engines resolve your brand as a verified entity.
Inside RAG Retrieval: How Perplexity & ChatGPT Search Select and Cite B2B Vendors
A technical breakdown of hybrid lexical + dense vector retrieval, reranker scoring windows, and why HTML table density outperforms long-form prose in LLM vendor shortlists.
Building an Automated AI Share-of-Voice (SoV) Evaluation Harness Across 100 Buyer Prompts
Traditional rank trackers cannot see inside ChatGPT or Perplexity. Here is how to run weekly automated prompt evaluations to track citation frequency, position, and sentiment.
Interactive AI Visibility, Web Velocity & Workflow Grader
Enter any domain to benchmark its current AEO/GEO citation readiness, Core Web Vitals posture, lead-routing latency, and workflow automation potential.