Be cited and recommended where
customers ask AI for products.
Buyers are shifting from traditional search bars to conversational AI engines. We engineer knowledge graphs, semantic schemas, and technical crawlability so your products are surfaced by ChatGPT, Perplexity, and AI Overviews.
The Search Evolution
From ten blue links to direct AI answers
When high-intent shoppers ask AI for recommendations, will your brand be cited or will your competitor take the sale?
Traditional Search (Declining)
- • Keyword stuffing and backlink acquisition games.
- • Users click through 5 websites, compare specs manually, and suffer ad overload.
- • Rankings are volatile to algorithmic core updates.
AI Search & GEO (Dominant Future)
- ✓ Direct Recommendations: The AI synthesizes customer criteria and suggests 2–3 products with reasoning.
- ✓ High-Converting Traffic: Shoppers clicking citations have already evaluated the specs and arrive ready to transact.
- ✓ Entity Authority: Structured knowledge graphs make your catalog the definitive factual source.
Our GEO Framework
How we optimize your catalog for AI discovery
Rigorous technical architecture designed for machine ingestion, neural retrieval, and citation verification.
1. Deep Schema & Knowledge Graph Engineering
We implement comprehensive nested JSON-LD graphs linking your products, brand entities, verified reviews, and parent organizations directly to authoritative Wikidata and schema identifiers.
2. Model Crawlability & LLM Feed Optimization
We audit server responses, edge headers, and robots.txt configurations to guarantee seamless ingestion by GPTBot, ClaudeBot, PerplexityBot, and Google Other, without exposing private server endpoints.
3. Technical Product Spec & Semantic Density
AI answer engines penalize fluffy marketing copy. We structure your product pages with precise dimensional data, material compositions, compatibility charts, and transparent FAQs that LLMs prefer to cite.
4. Continuous Citation Auditing (via AIOpsome)
Using our proprietary AIOpsome system, we continuously simulate hundreds of conversational buyer queries across models, reporting citation changes, source attribution shifts, and competitive vulnerabilities.
Powered by Buildeon's AIOpsome
We don't guess how language models see your brand. We monitor real-time model answers, hallucination risks, and citation share across ChatGPT, Perplexity, and Google AI Overviews.
GEO FAQs
Frequently asked questions about AI search optimization
What is Generative Engine Optimisation (GEO)?
Generative Engine Optimization (GEO) is the discipline of structuring your brand identity, product specifications, and web architecture so that AI answer engines (ChatGPT Search, Perplexity, Google AI Overviews, Claude) cite, recommend, and surface your products when buyers ask high-intent conversational queries.
How does GEO differ from traditional SEO?
Traditional SEO targets ten blue links through keyword density and backlink volume. GEO targets neural retrieval: knowledge graph entity authority, machine-readable structured schema, technical data clarity, and citation frequency across the authoritative sources LLMs ingest during synthetic answer generation.
How do you track visibility across closed AI models?
Through our dedicated AIOpsome tooling, we execute automated prompt sweeps across frontier engines (ChatGPT Search, Perplexity, Claude, Google Gemini). We track citation share-of-voice, model sentiment, competitor recommendations, and link inclusion rates for your primary commercial queries.
Can blocking AI bots harm our commerce visibility?
Indiscriminately blocking user-agents like GPTBot or PerplexityBot prevents AI search engines from indexing your pricing, catalog availability, and brand facts. We implement granular edge policies that allow AI search indexers while throttling abusive scrapers.
Check your brand's AI search readiness
Get a baseline AI Visibility Audit to see how your catalog currently ranks and is cited across ChatGPT, Perplexity, and Claude.