← ClaudeAtlas

prompt-generationlisted

Generate brand-representative prompts for LLM visibility tracking and AI-search discovery monitoring. Use when the user needs natural-language prompts grouped by topic and funnel stage, including prompt sets for ChatGPT, Claude, Gemini, Perplexity, or AI Overviews tracking. Produces CSV-ready prompts that reflect how buyers, consumers, or researchers ask LLMs about a market.
birdseyeglobal/portage · ★ 0 · AI & Automation · score 68
Install: claude install-skill birdseyeglobal/portage
# GEO Prompt Generation Generate natural-language prompts that represent how people discover and evaluate brands through LLMs and AI-search surfaces. The output is a CSV-ready table with: - `Topic` - `Prompt` - `Funnel Stage` ## Inputs Gather or infer: - Brand name and website. - Products, services, or use cases. - Target audience and buying context. - Geographic markets, if relevant. - Competitors, if known. - Any terms the brand uses internally. If a field is missing but the website or source material provides enough context, proceed and note the assumption. ## Workflow 1. Map the brand's products and services into topic categories. 2. Validate the audience's vocabulary before writing prompts. 3. Generate prompts across funnel stages. 4. Check for natural language, commercial intent, and topic coverage. 5. Return CSV-ready output. ## Vocabulary Validation Before writing prompts, check how the audience actually describes the category. Use keyword tools, search results, customer language, reviews, forums, sales pages, or competitor copy. Paid SEO tools are useful but not required. Look for: - Search terms with real demand. - Plain-language pain points. - Outcome framing versus mechanism framing. - Competitor alternatives people actually compare. - Jargon that belongs only in bottom-funnel prompts. Prompts should sound like someone asking an assistant for help, not like ad keywords or internal positioning copy. ## Funnel Mix Default distribution: - TOFU: 5 to