Get Recommended
by AI
Your buyers already ask ChatGPT, Gemini, and Perplexity which brand to choose. We help your brand show up in the answer.
What You Get
Three steps that move your brand from missing to recommended.
Visibility Report
We test the exact prompts your buyers already use in ChatGPT, Gemini, and Perplexity. You get a scored report showing where you appear, where competitors win, and what is holding you back.
AI-Readable Site
If AI cannot understand your site, it will not recommend you. We rebuild the structure, semantics, and schema so major models can identify your brand and trust what they cite.
Ongoing Visibility
AI answers change over time. We keep publishing across the sources and scenarios AI systems pick up so your brand keeps showing up as the category evolves.
Who This Is For
If buyers use AI to compare brands in your category, this matters now.
- Founders who asked ChatGPT about their category and saw competitors first.
- B2B companies watching buyers move from Google to AI chat.
- Teams doing SEO well but still missing from AI answers.
- Owners who do not want a competitor to become the default recommendation.
How It Works
A simple process built around how AI systems choose what to cite.
1. Find the Gap
We test the questions buyers already ask and map where your brand is missing, where competitors show up, and what is blocking visibility.
2. Fix the Site
Your website is the source AI systems use to verify your brand. We improve the structure, content, and schema so models can read you correctly.
3. Keep Showing Up
We publish the supporting content AI systems pick up, across the right platforms and use cases, so your brand appears more often in answers.
Why Founders Hire Us
We understand AI systems, not just AI marketing. We test what works, measure what changes, and only promise what we can prove.
Expertise
- PhD Team
- AI Specialization
- Strategic Marketing Specialization
Universities
- Simon Fraser University (SFU)
- National University of Singapore (NUS)
- INSEAD
Operating Experience
- AI Director (MNC)
- International Trade Expert
- Director at UBS
Real Results
We target 90+: the range where AI systems start citing and recommending your brand reliably.
AI Site Rebuild
A six-week data engineering sprint. We model your content as an entity graph AI systems can actually parse, trust, and cite — no copywriting fluff, no keyword games.
Model
We map your content as structured entities that AI can resolve back to your brand.
- Content ETLExtract product, team, and docs data from your site into a machine-readable graph.
- Entity modelingEvery product, service, and person mapped with verifiable attributes and relationships.
Deploy
The three layers AI systems actually read — hand-built into your site.
- Schema + JSON-LDOrganization, Product, Person, FAQ, and HowTo schemas crafted per key page.
- RAG + llms.txtA retrieval pipeline and crawler index so AI pulls verified facts, not guesses.
Verify
Test the rebuild against the platforms that actually cite you, then patch the gaps.
- Internal linkingTopic clusters and link architecture that reinforce every entity's authority.
- 6-platform QAChatGPT, Gemini, Perplexity, Claude, Copilot, Baidu — measured and patched.
- 30–80 pages
- Weekly demos
- Git-auditable
- 6-platform QA
Ongoing AI Visibility
AI answers shift as your category evolves. We continuously map buying-decision scenarios, feed your brand into the semantic field, and land citations where buyers ask the real questions — not chase keyword rankings.
- ChatGPT + Google AI
- Semantic field mapping
- Monthly reporting
- Add Perplexity on request
Start with an AI Visibility Check
See how AI answers describe your brand, then decide what to do next.
AI Visibility Check
See how ChatGPT, Gemini, and Perplexity describe your brand right now.
- AI visibility score across major LLM platforms
- Citation-readiness analysis of your key pages
AI Site Rebuild
A data engineering build that makes AI trust your site.
- Machine-readable entity graph
- Schema + RAG + llms.txt deployment
- QA across 6 major AI platforms
Ongoing AI Visibility
Stay visible as AI models update and your category changes.
- Monthly publishing across AI-indexed platforms
- Coverage for key prompts and buying scenarios
- Monthly visibility reporting
Check AI Visibility
Enter your website and email. We'll review how ChatGPT, Gemini, and Perplexity describe your brand and send a scored report within 48 hours.
Frequently Asked Questions
How quickly can AI start recommending my brand?
Results depend on the platform. Perplexity and ChatGPT use real-time web search, so structured content improvements can appear in citations within 2–4 weeks. Google Gemini and Bing Copilot follow their standard indexing cycles, typically 4–6 weeks. Deeper knowledge-graph integration across model training cycles typically takes 1–3 months.
How is GEO different from SEO?
SEO optimizes for keyword-based rankings in traditional search engines like Google. GEO optimizes for entity relationships and source credibility inside AI models like ChatGPT, Gemini, and Perplexity — systems that synthesize answers rather than list links. A page can rank on page one of Google and still be completely invisible to AI.
Which AI platforms does GEO cover?
Our methodology covers all major AI search platforms: ChatGPT (OpenAI), Perplexity AI, Google Gemini, Microsoft Copilot (Bing), and Claude (Anthropic). For Chinese-market clients, we additionally optimize for Doubao, DeepSeek, Kimi, Qwen (Tongyi), and ERNIE (Wenxin Yiyan).