> For the complete documentation index, see [llms.txt](https://docs.frase.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.frase.io/core-workflows/ai-visibility-and-geo.md). # AI Visibility & GEO Track where your brand shows up in AI search and optimize your content to get cited. {% hint style="success" %} **Using Claude, Cursor, or othr MCP clients?** Use [Frase MCP ](/automations/automate-with-frase-mcp.md)to check your Share of Voice, compare against competitors, and pull GEO improvements. {% endhint %} 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. ## AI Visibility {% embed url="" %} 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. 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. * ***Bonus*****:** LLM crawls and mentions via [**Crawler Logs**](#additional-tracking), and site visits from LLMs via [**AI Referrals**](#additional-tracking) ### Setting Up Good Prompts Think about prompts in three tiers of the purchasing funnel, 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.** 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. * **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. {% endhint %} ### Additional Tracking Frase has more ways to track your AI Visibility to help build a more complete picture of where you stand: * **Crawler Logs** enable Frase to track total **crawls** or **mentions** from major LLMs. These require you to install a tracking snippet on your website. * **AI Referrals** pull in data from a connected [Google Analytics 4 (GA4)](https://docs.frase.io/integrations/connectors/google-analytics-4) account to show you which AI platforms are bringing **traffic** to your site.
## GEO Optimization [Your GEO Score](https://docs.frase.io/feature-reference/content-scores-explained#geo-score-generative-engine-optimization) appears in each article's Editor right side panel, 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).
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 There are several ways Frase helps you improve your content's AI system citability: * **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. You can apply these recommendations from the **Score** or **Checklist** tabs of an article's Editor side panel. {% hint style="success" %} **SEO and GEO 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. {% 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. {% hint style="info" %} **Need more AI Visibility prompts?** Pro, Scale, and Enterprise customers can turn on ***Overages*** to [bill extra credits past their plan's limits](#user-content-fn-1)[^1]. Manage these from your ***Settings > Billing & Usage > Overage Settings.*** {% endhint %} [^1]: --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.frase.io/core-workflows/ai-visibility-and-geo.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.