Measure brand visibility in AI chatbots and AI search, discover competitor gaps and identify relevant PAA questions from classic Google Search. This process performs full prompt research using the SISTRIX MCP server and delivers a prioritised overview for content and GEO strategies.
| Time required | Time saved | Difficulty | Uses |
|---|---|---|---|
| 20-35 min. | approx. 3-5 hours | ●●○○○ | Strategy / GEO / Monitoring |
Uses
- Complete overview, at the press of a button: Brand prompts from AI search, competitor gaps and real PAA questions from Google combined into one structured research package.
- Prioritised measures for SEO and GEO: The model clusters all sources based on relevance and derives concrete measure recommendations in regards to what content is missing and what can be strengthened.
- Time saved compared to manual equation: Without this Use Case, a comparative analysis would only be possible by an hour-long assessment on SISTRIX.
- Flexibly combinable: PAA questions and AI prompts complement each other. PAA show what users ask Google and brand prompts show if your own brand delivers the response.
Prompt
“Analyse the domain [domain] with the brand [brand] and the country [country] using the SISTRIX MCP server and carry out a full english language prompt investigation:
- BRAND PROMPTS: Use ai_check (view: “prompts” , country:(as shown above), domain:(as shown above) and domain:(as shown above) to retrieve all prompts in which the brand is mentioned or cited. Categorise the prompts based on topic (e.g. products, competition) and AI model (AIO, AIMODE, ChatGPT).
- COMPETITOR-BASED OPPORTUNITIES: Repeat the ai_prompt check for the competitors [competitor1], [competitor 2] and [competitor 3]. Filter out all prompts with these specific brand names. De-duplicate the remaining non-brand-prompts and assess the result based on potential content targets. Place these in categories “high”, “medium”, “check”.
- PAA QUESTIONS FROM GOOGLE SEARCH (3 Keywords): Retrieve SISTRIX:keyword -> serpfeatures for [keyword 1], [keyword 2] and [keyword 3] and check the value for RELATED_QUESTION. Note the amount of PAA questions per keyword. Retrieve the displayed “Related Questions”-entries for these keywords and list all questions. Group them based on topic and evaluate if the domain is already ranking for the corresponding keywords.
At the end, deliver a prioritised table: Prompt/Keyword, Category, Scope, Potential, Top Measures.”
💡Tip: The PAA questions (RELATED_QUESTION) can be counted via keyword_seo_serpfeatures but the question texts themselves must be exported directly from SISTRIX. Pass them to the model as a list in the same prompt so that the model can directly include it in the analysis.
Process
- Retrieve brand prompts: Via ai_check (view: “prompts”), all prompts can be retrieved in which your own brand is already cited as a source or named directly, including AI model and the context for the response. The result shows in which topics and on which platforms your brand is already visible.
- Competitor based opportunities: For every competitor, the same entity request is carried out. The model filters out prompts with explicit brand mentions and de-duplicates the generic questions. Every remaining prompt is evaluated for potential for your own brand.
- PAA questions from Google Search (3 Keywords): For the three defined keywords, keyword_seo_serpfeatures is called. The value RELATED_QUESTIONS shows how many “Similar Questions” entries Google shows for this keyword. The concrete question texts are directly taken from SISTRIX and given to the model as a list.
- Summarise all sources and prioritise: Brand prompts, non-brand competitor prompts and PAA questions are sorted into a collective table based on potential. Per entry, a concrete measure will be initiated, such as content creation, FAQ scheme, internal linking or GEO optimisation.
⚠ Important: The PAA questions are available in SISTRIX via keyword_seo_serpfeatures as a RELATED_QUESTIONS counter. For the question texts themselves you can open SISTRIX, insert the keyword and copy all “Similar Questions” to insert directly into the prompt. Alternatively you can put the keywords into a SISTRIX List, generate all the questions and export them.
Output / Result
At the end of the assessment the model will deliver a prioritised table of all analysed prompts and questions. Here is an example:
| Prompt/Keyword | Category | Scope | Potential | Top measure |
|---|---|---|---|---|
| benefit cosmetics | Brand Prompts | 100 Prompts | High | Benefit strongest as source, expand BrowBar content |
| benefit eyebrows | PAA Questions (Google) | 6 Questions | High | Expand FAQ content regarding eyebrows, supplement scheme |
| make-up animal experiments | Non-brand (comp.) | 23 Prompts | High | Optimise cruelty-free page, become visible in AI |
| mascara best brand | Non-brand (comp.) | 15 Prompts | Medium | Strengthen BADgal BANG! landing-page |
| brow lifting douglas | PAA questions (Google) | 4 Questions | Medium | Equip BrowBar service pages with FAQ scheme |
The table can be used directly as a basis for a content strategy, a client pitch, sprint planning or the priorisation of landing-page optimisation.
Alternative and expanded analyses
★ Alternative: Topic Prompt Research. Expand your prompt research toward a topic- instead of brand-focused analysis with our Prompt Research Tool and discover the topic areas that are relevant for your brand and products, regardless of the current status.
★ Alternative: Content Audit Use Case. After the prompt research: directly compare the PAA questions and high potential prompts with the Content Audit. Explore which existing URLs already address these questions and where content is missing entirely.
- Only PAA analysis: Focus the Use Case on the extraction of the PAA questions, ideally as a quick basis for FAQ pages, featured snipped optimisation or strucutred data (FAQ scheme).
- Only brand monitoring: Track brand prompts exclusively as a monthly report and see how the AI visibility of your own brand develops over time.
- Compare PAA vs. AI prompts: Directly contrasting PAA questions from Google in the AI prompts shows, which user questions are already appearing in the AI search and which ones still conventionally operate via Google.
- Expansion of Share of Voice: After the prompt research via ai_entity (view: “competition”), investigate which other brands are named in the same prompt to improve your own Share of Voice.
Still stuck? Our support team can help with the setup of the SISTRIX MCP server and answer questions about the usage with Claude or ChatGPT. Contact support
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