The Answer Engine Optimization (AEO) Blueprint.
How search works in 2026: Users no longer scroll 10 blue links. They ask ChatGPT, Perplexity, and Gemini for direct recommendations. Here is how we engineer your platform to be the cited answer.
How LLMs Select & Cite Web Content
The llms.txt Standard
A machine-readable Markdown endpoint at /llms.txt that gives LLM crawlers structured summaries of your products, APIs, and key pages without parsing DOM noise.
Structured JSON-LD Schema
Explicit semantic graphs for Organization, SoftwareApplication, Service, and FAQPage that eliminate ambiguity in LLM entity recognition.
Citable Summary Units
Writing copy in self-contained, fact-dense sentence blocks that AI models can extract directly as verbatim citation chunks with high attribution confidence.
Sub-50ms Edge Performance
AI search bots have strict retrieval timeouts. We deploy on Edge networks with Instant Static Regeneration (ISR) guaranteeing instant bot responses.
Entity Cross-Referencing
Syncing canonical brand entities across GitHub, Twitter, Crunchbase, and Schema.org sameAs properties to establish domain authority.
Want to audit your site?
We run live citation simulations across GPT-4o and Perplexity to score your domain.
Inspecting a Valid /llms.txt File
Here is the exact structure we deploy for every Techmobai client platform.
# [Brand Name] - AI Product Knowledge Base
> [One-sentence declarative mission that answers: What does this company do and why is it best-in-class?]
## Core Capabilities
- [Service / Feature 1](https://example.com/feature-1): High-density technical summary.
- [Service / Feature 2](https://example.com/feature-2): Integration specs and ROI benchmarks.
## Key Metrics & Proof
- 100/100 Core Web Vitals, 21-Day deployment sprint, trusted by 30+ enterprise founders.
- Direct JSON-LD endpoints: https://example.com/schema.json