Dx1 · Assessment
We map the context, identify prioritized use cases, and come away with an honest recommendation.
2-4 weeksAI search visibility for brands and professionals
Get ChatGPT, Perplexity, Gemini, and AI Overviews to mention your brand when someone asks—a service for companies, independent professionals, and public figures.
What you get
The result the client can interact with, not the stack underneath.
When a potential client asks ChatGPT, “Which company in [your category] do you recommend?” or when an AI researches your industry, the answer does not depend on how much you invest in ads. It depends on how well structured your digital presence is so AI can read, understand, and cite it. We turn years of brand-building work into consistent mentions in AI answers—without ongoing platform fees or paying per click. Works for B2B companies, consumer brands, independent professionals (consultants, lawyers, architects, coaches), and public figures who want AI engines to reference them in their category.
What exactly it is
Technical definition—for Google, ChatGPT, and your CTO.
AI search visibility (also known as GEO or Generative Engine Optimization) is the discipline that combines SEO, GEO, AIO (AI Overview Optimization), and AEO (Answer Engine Optimization) so ChatGPT, Perplexity, Google Gemini, Claude, Microsoft Copilot, and AI Overviews mention and recommend brands, products, or people in their answers. Unlike traditional SEO, which optimizes for rankings in SERPs, AI search visibility optimizes for citations in generated answers. It includes on-page optimization, structured schema (Organization, Person, Product, FAQPage), an editorial strategy based on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), a consistent presence in sources AI engines consult (Wikipedia, Reddit, industry forums, specialized publications), and ongoing citation monitoring by critical prompt.
Includes
- ✓Assessment of current citations in ChatGPT, Perplexity, Gemini, and AI Overviews
- ✓Website optimized for SEO + GEO + AIO + AEO from the ground up
- ✓Structured JSON-LD schema (Organization, Person, Product, FAQPage)
- ✓E-E-A-T editorial strategy and distribution to sources AI engines read
- ✓Audit and authority building on Wikipedia, Reddit, and industry forums
- ✓Monthly report with citation metrics by critical prompt in AI engines
How ia¹ implements it01 02 03
Dx1 + More2 + Rt3 → sustainable advantage.
At ia¹, we execute the system in three phases. Dx¹ assessment: audit of current mentions in LLMs (ChatGPT, Perplexity, Gemini, Claude, Copilot), mapping of critical prompts where the brand should appear, and competitive citation analysis (2-4 weeks). Im² implementation: website optimized with an open stack, structured JSON-LD schema, E-E-A-T content architecture, and distribution to sources AI engines read (4-8 weeks). Rt³ retainer 12 months: ongoing editorial publishing optimized for citation, management of presence in external sources, and monthly reporting with citation metrics by prompt in ChatGPT, Perplexity, Gemini, and AI Overviews. For B2B brands, consumer brands, independent professionals, and public figures.
Im2 · Implementation
We build the first end-to-end use case. Open stack, your code, clear success metrics.
4-12 weeksRt3 · Retainer
Ongoing support: new cases, monitoring, adjustments, and capability transfer.
from month 3We start with the assessment
AI search visibility assessment
30 minutes. No cost. You’ll leave with an honest recommendation — whether you work with us or not.
Frequently asked questions
What we’re asked most often.
What is GEO (Generative Engine Optimization), and why is it the next layer of SEO?
GEO (Generative Engine Optimization) is the discipline of optimizing brands, products, and professionals to be cited by conversational AI engines—ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, and Google AI Overviews. Unlike traditional SEO, which targets rankings in SERPs, GEO targets mentions in generated answers. It is the next layer because 30-50% of searches in high-value sectors (B2B, healthcare, legal, education) already go through AI engines, and that share is growing monthly.
What can I do to get ChatGPT to recommend me when someone searches in my category?
Three combined levers: (1) your own digital presence, structured with relevant JSON-LD schema (Organization, Person, Product, FAQPage); (2) authority built in sources AI engines consult—Wikipedia, Reddit with organic engagement, specialized publications, podcasts; (3) consistent messaging across all your sources (name, category, differentiating claim). The common mistake is investing only in traditional SEO—AI engines read different signals. At ia¹, we measure citation frequency for critical prompts monthly.
What types of brands and professionals does this service work for?
Works for: mid-market B2B companies with a defined category, consumer brands with a regional presence, independent professionals (consultants, lawyers, architects, coaches, therapists), public figures (authors, speakers, niche experts), and startups that need to build authority before they have traffic. Does not work well for: undifferentiated commodities, brands competing in a completely saturated category with no unique angle, or products with a short life cycle.
How long does it take to build a presence in AI engines, and when do recurring citations appear?
Occasional citations: 60-90 days after implementing the foundation (schema, website, first editorial content). Recurring, consistent citations for critical prompts: 6-12 months. It is slower than traditional SEO because AI engines have training cycles—some models update their knowledge only every 3-6 months. That is why the service is a retainer of at least 12 months: the first quarter lays the foundation, the second starts generating signals, and the third and fourth consolidate consistent citations.