AI is the new front door — and most brands are invisible
Search is no longer just Google. When a buyer needs software, an agency, or a service, they increasingly ask ChatGPT, Gemini, Claude or Perplexity first. The AI answers with a short list of names. If your brand isn't on that list, you don't exist for them.
That's the problem Answer Engine Optimization (AEO) — sometimes called GEO (Generative Engine Optimization) — exists to solve. It's the practice of making your brand, content and technical setup legible to AI models so that, when a buyer asks "what's the best tool for X?", your name comes back.
How AI engines decide who to recommend
Unlike classic SEO, where Google crawls and ranks pages, AI answer engines assemble answers from a mix of sources: training data, live web retrieval, structured data (Schema.org), and the conversational context of the prompt. They don't "rank" pages the way Google does — they synthesize a recommendation.
In practice, being cited by an AI depends on three layers:
- Entity clarity — the AI must understand what your brand is and who it serves. This comes from Schema.org markup (Organization, Product, SoftwareApplication), consistent brand facts, and clean positioning.
- Corpus coverage — the AI needs to have "read" you. That means content that answers real buyer questions, FAQ markup, and presence across the sources models are trained on and retrieve from.
- Co-citation — being mentioned alongside your category and your competitors in the places AI models draw from. If every roundup lists three competitors and never you, the model learns to omit you.
Why 92% of brands are invisible to AI
Most companies still optimize for Google's classic 10 blue links. That means keyword-stuffed pages, no structured data, no FAQ markup, and no presence in the sources AI engines actually read. The result: when the AI answers, it recommends the brands that did the work — often your competitors.
The painful part is that this is invisible. You can't "see" what ChatGPT told a prospect about you unless you ask. And by the time you realize you're losing deals you never knew about, the prospect is already gone.
How to check your own AI visibility — free
Before you invest, you need to know where you stand. Our free tool shows you in seconds what an AI "sees" when it reasons about your market:
Test your AI visibility free → the AnswerShaper AI Citation Checker scans your site, simulates real buyer queries, and tells you:
- How often an AI mentions your brand across buyer questions
- Which competitors the AI recommends instead of you — and why
- Whether your technical setup (Schema.org, FAQ markup, meta, canonical) helps or hurts
It's free, no sign-up, and takes about 10 seconds. It's the fastest way to see the problem your prospects already experience.
The limits of a one-off check
A single check is a snapshot. LLMs are non-deterministic: their answers drift over time, by geography, and by the model answering. A free scan shows you the problem once. Monitoring 24/7 across ChatGPT, Claude, Perplexity, Gemini and Grok — and fixing what's missing — is where the real engine lives. That's the gap between a free diagnostic and a full AEO platform like AnswerShaper.
AEO checklist for 2026
- Schema.org entity markup — Organization, Product/SoftwareApplication, FAQPage, BreadcrumbList.
- FAQ content — answer the exact questions buyers type into AI, in natural language.
- Consistent brand facts — name, description, and positioning identical across your site, directories and social profiles.
- Crawler access — don't block GPTBot, ClaudeBot or PerplexityBot in robots.txt.
- Co-citation presence — get mentioned in the roundups, comparisons and communities your buyers read.
Start with the free check, then go to war
You can't fix what you can't see. Run the free AI Citation Checker now, see how often AI recommends you — and who it picks instead. Then decide how aggressively you want to fight for the recommendation.