Get Cited and Recommended in AI-Generated Search Answers

Search has changed. Buyers ask ChatGPT, Perplexity, and Claude for recommendations before ever clicking a traditional link. We optimize your brand knowledge footprint so AI models cite and recommend you.

48-hour kickoff SLA
OWASP bank-grade security review
10+ yr senior engineering lead

The Root Problem

The New Zero-Click AI Search Reality

1

Vanishing Traffic from AI Overviews

Google AI Overviews and answer engines answer user queries directly, reducing organic click-through rates by up to 35% on standard informational keywords.

2

Invisible to LLM Recommendation Engines

When buyers prompt ChatGPT or Perplexity for "the best software studio in Australia" or "top Next.js teams," your brand is completely absent from the answer.

3

Outdated or Inaccurate AI Citations

AI models scrape outdated forums or competitor comparison articles, generating hallucinations or quoting inaccurate pricing and capabilities about your company.

4

Lack of Agent-Readable Knowledge Assets

Most websites lack structured knowledge files (`llms.txt`, Open Knowledge Format, JSON-LD) that autonomous agents need to ingest and comprehend your offering.

Our Engineering Blueprint

Our Generative Engine Optimization Framework

We pair seasoned enterprise engineering craft with modern AI acceleration to ship high-performing systems safely.

01

AI Citation & Consensus Audit

We query ChatGPT, Perplexity, Claude, and Gemini across 50+ high-intent buyer prompts to measure your citation frequency, sentiment, and competitor positioning.

02

Agent-Ready Site Architecture & `llms.txt`

We generate clean, standardized `llms.txt` and `llms-full.txt` knowledge bundles that allow AI crawlers to ingest your product capabilities without token bloat.

03

Structured Knowledge Graph & Schema Markup

We deploy nested JSON-LD schema (`Organization`, `Service`, `Product`) establishing clear entity relationships that LLMs trust for factual grounding.

04

Authority Seeding & Citation Verification

We structure authoritative third-party coverage in high-weight digital watering holes (GitHub, industry registries, trusted press) that LLM retrieval algorithms index.

Scope & Artifacts

What You Receive

  • Comprehensive AI visibility & prompt portfolio audit report
  • Native `llms.txt` and `llms-full.txt` knowledge bundle deployment
  • Complete Schema.org Knowledge Graph structured data setup
  • High-authority comparison & entity positioning documentation
  • Ongoing monthly AI citation tracking and sentiment report
Typical delivery timeline:2 to 3 weeks

Stack & Tooling

Technologies We Deploy

Perplexity APIOpenAI / Anthropic APIsSchema.org JSON-LDllms.txt ProtocolNext.js App RouterEntity Graphing
Flexible Monthly PlanNo lock-in contract
$899/ month (AUD)

Rebalance capacity between web, mobile, AI automations, and growth marketing every month.

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