# AI Visibility & GEO Search has changed more in the last two years than in the previous ten. [More than 50% of Google searches now end without a click. When an AI Overview appears, that number climbs past 80%.](https://www.frase.io/blog/content-optimization-is-dead) And platforms like ChatGPT, Perplexity, and Claude are becoming discovery and recommendation engines that millions of people use daily to find tools, services, and answers. The brands that show up in those AI responses get traffic that's already pre-qualified. Someone who found you through a ChatGPT recommendation didn't just click a link — they were told about you. That's a fundamentally different kind of visitor. This is what GEO (Generative Engine Optimization) is about. And it's why Frase tracks and optimizes for both traditional search and AI search simultaneously. ### Two Things This Article Covers AI Visibility and GEO are closely related but distinct: 1. **AI Visibility** is about tracking. It tells you whether your brand is showing up in AI-generated responses, which platforms mention you, how you compare to competitors, and how that changes over time. 2. **GEO** is about optimization. It tells you how well your content is structured to be extracted, trusted, and cited by AI systems — and gives you specific improvements to make. {% hint style="success" %} **Together, they answer two questions:** Where do I stand? and What do I do about it? {% endhint %} ### AI Visibility Tracking #### How It Works AI Visibility starts with prompts — real questions people ask AI systems. You add prompts related to your industry, products, and competitors, and Frase regularly queries AI platforms with those prompts to track when your brand is mentioned or cited. Over time, this builds a reliable visibility signal: not a one-time snapshot, but a trend line that shows whether your brand's presence in AI search is growing, shrinking, or holding steady. {% embed url="" %} #### What You Can See Once your prompts are set up, Frase gives you: * **Share of Voice Score** — Your overall visibility across all tracked prompts, compared to competitors. * **Platform breakdown** — Which AI platforms mention you most (and which don't mention you at all). * **Sentiment and trend velocity** — Whether your visibility is improving and how quickly. * **Head-to-head competitor comparisons** — Who dominates the conversation in your space and where you have ground to make up. #### Setting Up Good Prompts The quality of your tracking depends on the quality of your prompts. Vague prompts give you vague signals. Specific prompts tell you exactly where you stand. Think about prompts in three tiers that map to how real buyers use AI search: * **Awareness prompts** — broad, exploratory queries. *"Best content optimization tools," "SEO tools comparison."* High competition for citations, but high volume of people asking them. * **Consideration prompts** — problem-oriented, more specific. *"How do I fix content decay automatically," "tools for optimizing content for AI search."* This is where mid-funnel buyers are researching solutions. * **Decision prompts** — late-stage comparison queries. *"\[Competitor] alternatives," "\[Your product] vs \[Competitor]."* The person is close to a buying decision and evaluating options. Strong prompt types include: * *"Best \[your product category]"* * *"\[Industry] tools comparison"* * *"\[Problem] solutions"* * *"\[Competitor] alternatives"* A well-rounded prompt set covers all three tiers. A common mistake is only tracking awareness prompts and missing the consideration and decision queries where you may actually be winning or losing customers. {% hint style="success" %} **Pro tips** * **Start with 10–20 prompts across all three tiers.** Aim for 3–5 per tier, per core use case. This gives you enough coverage to spot patterns — where you're showing up, where you're not, and whether gaps are consistent or random. * **Don't optimize early. Observe first.** Run your initial prompt set for 2–4 weeks before drawing conclusions. AI citation patterns have natural variance — you need a baseline before you can measure movement. * **Expand prompts around your competitive set.** For each direct competitor, add at least one "\[Competitor] alternatives" and one "\[Competitor] vs \[You]" prompt. This is often where the most actionable gaps surface. * **Add prompts when you publish new content.** If you write a piece targeting a specific use case or pain point, add a matching prompt. This connects your content investment directly to visibility measurement. {% endhint %} ### GEO Optimization #### What the GEO Score Measures [Your GEO Score](https://docs.frase.io/feature-reference/content-scores-explained#geo-score-generative-engine-optimization) appears in the content editor alongside your [EEAT Score](https://docs.frase.io/feature-reference/content-scores-explained#eeat-score) and [SEO Score](https://docs.frase.io/feature-reference/content-scores-explained#seo-score). It measures how easily AI systems can extract, understand, and reference your content — essentially, will AI trust this enough to use it?
Specifically, GEO evaluates: * **Direct answer potential** — Can AI pull a clear, concise answer from this content? * **Citation worthiness** — Is the information authoritative and specific enough to be quotable? * **Structured information** — Are facts, stats, and definitions easy to parse? * **Question coverage** — Does the content explicitly answer the kinds of questions AI systems are asked? #### How to Improve Your GEO Score The content that gets cited most often by AI systems tends to share a few characteristics. It gives direct answers rather than implying them. It uses clear structure (headings, lists, and definitions) that makes individual sections extractable. It cites authoritative sources rather than making unsupported claims. And it covers questions explicitly rather than burying the answer in paragraphs of context. Practically, that means: * **Add clear definitions.** If your article is about a concept, define it directly and early. AI systems frequently pull definitions verbatim. * **Include concrete data points.** Statistics with clear attribution are among the most citable elements in any piece of content. * **Answer questions explicitly.** Don't write around the answer. State it, then explain it. * **Use structured formats.** Lists, tables, and FAQs aren't just good for readability — they're easy for AI systems to parse and extract. * **Cite credible sources.** Linking to authoritative external sources signals that your content is well-researched. AI systems use this as a trust signal. {% hint style="success" %} **A note on SEO vs GEO:** These aren't competing priorities. A well-structured, well-cited, authoritative article tends to rank well on Google and get cited by AI for the same underlying reasons. Frase scores both simultaneously so you don't have to choose. {% endhint %} ### Turning AI Visibility Into a Content Strategy The most useful thing you can do with your AI Visibility data is let it drive content decisions. * If a competitor consistently appears in prompts where you don't, that's a gap. Frase can analyze what they're doing differently — topic coverage, content structure, citation patterns — and surface what you need to create or update to compete. * Review your visibility trends monthly. Add prompts when you launch something new. Watch for competitors gaining ground in spaces you care about. Use those signals to decide what to optimize or create next. AI visibility isn't something you set up once and forget. It's an ongoing signal that gets more useful the longer you track it. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.frase.io/core-workflows/ai-visibility-and-geo.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.