How Does Generative Engine Optimization with TDS Work?
A clear 5-step process from AI visibility audit to measurable citation growth. No complexity, no black boxes — just transparent, design-led GEO methodology.
How Does the GEO Audit Work?
We analyse your current AI visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. This is not a traditional SEO audit — we are measuring how often AI models cite your brand, what they say about you, and where you are invisible.
The audit includes competitor citation analysis (who is being cited instead of you), schema gap assessment (what structured data AI models need but cannot find), and a content architecture review to identify how your existing content can be re-engineered for AI visibility.
Book Your GEO AuditWhat the Audit Covers
- AI visibility across 5 major platforms
- Competitor citation analysis
- Schema gap assessment
- Content architecture review
- Priority action roadmap
- 30-page strategic report
Ecosystem Components
- Primary service property
- Editorial and thought leadership properties
- Knowledge base and glossary architecture
- Cross-property citation flow design
- Entity authority mapping
- Content moat strategy
What Is Ecosystem Architecture?
We design your multi-property content moat strategy. A single website is not enough for AI visibility dominance — you need an ecosystem of properties that create cross-citation flows, build entity authority, and establish your brand as the definitive source in your category.
This is the strategy that TDS has proven with its own properties: tdsaustralia.com.au, tdsdaas.one, tdsgameoutsource.one, designmagazine.com.au, and exnihilomagazine.com all working together as a citation ecosystem.
What Is Content Engineering?
We build dual-layer content optimized for both humans and AI citation. Every page is engineered to be the definitive answer that AI models want to reference. This is not content writing — it is content engineering with structured information, clear entity relationships, and citation-ready formatting.
Content engineering includes question-led headings (the questions AI models are asked), claim-evidence structures (the data AI models need to cite), and comprehensive schema markup that gives AI models the structured context they require.
Content Engineering Elements
Infrastructure Stack
- Schema: Organization, Product, HowTo, FAQPage, BreadcrumbList, Article
- llms.txt: Structured site information for AI language models
- Crawler Optimization: robots.txt, sitemap.xml, crawl paths for AI bots
- Hreflang: Multi-region targeting for AU, GB, US markets
- Canonical: Clean URL architecture preventing duplicate citations
What Schema and Infrastructure Does TDS Implement?
We implement comprehensive structured data, llms.txt files, and AI crawler optimization. This is the technical foundation that ensures AI models can discover, parse, and cite your content accurately.
Schema markup gives AI models the structured context they need — who you are (Organization), what you offer (Product), how your process works (HowTo), and what questions you answer (FAQPage). Without this infrastructure, AI models may find your content but lack the structured context to cite it accurately.
How Does Citation Growth Work?
We monitor, measure, and expand your AI visibility monthly. Citation growth is not a set-and-forget outcome — it requires ongoing monitoring across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, identifying new citation opportunities, and continuously optimizing content and schema.
Monthly reporting shows exactly where your brand is being cited, what AI models are saying about you, how your citation volume compares to competitors, and what new opportunities exist to expand your AI visibility.
Monthly Citation Report Includes
- Citation volume across all AI platforms
- Citation accuracy and sentiment analysis
- Competitor citation comparison
- New citation opportunities identified
- Content and schema optimization recommendations
Key Takeaway
TDS GEO Agency follows a 5-phase process: GEO Audit → Ecosystem Architecture → Content Engineering → Schema Infrastructure → Citation Growth. Each phase builds on the previous, creating a compounding citation moat that grows stronger over time.
Process FAQ
Initial improvements in schema and infrastructure can be seen within weeks. Content engineering results typically begin showing within 2-3 months as AI models recrawl and reindex your content. Full ecosystem effects typically become measurable within 4-6 months.
TDS GEO Agency optimizes for all major AI platforms: ChatGPT (OpenAI), Perplexity, Claude (Anthropic), Gemini (Google), and Google AI Overviews. Our methodology is platform-agnostic — we optimize the underlying content and schema that all AI models use to generate citations.
llms.txt is a file (similar to robots.txt) that provides AI language models with structured information about your website. It helps AI crawlers understand your content hierarchy, key pages, and entity relationships. TDS GEO Agency implements and optimizes llms.txt as part of the Schema and Infrastructure step.
Yes. GEO and SEO are complementary strategies. TDS GEO Agency can work alongside your existing SEO agency — we focus on AI visibility while they focus on traditional search rankings. In many cases, the content engineering and schema work we do also improves traditional SEO performance.