Free Prompts for Building Your Sales AI Entity Layer
Ten prompts that extract products, competitors, personas, and pain points from public sources and call data. Built from the methodology we use with enterprise customers like Versa Networks.
You can build the foundation of an entity ontology in under an hour using LLMs and the right prompts. We use a version of these prompts with every Zime customer during onboarding. The first two are free to use right now. The remaining eight are gated by email because they get into the higher-leverage workflows (audit, synthesis, generation) that compound over time. Click any button below to open the prompt pre-loaded in LLMs. Swap in your company details. Run it.
Two free prompts to start
Foundational extraction tasks. Each runs against a single public source. No email required.
Type company domain and we will drop it into both prompts below automatically.
Extract products and solutions from any company's sitemap
Pull a complete product list with descriptions and buyer problems in under ten minutes.
I want to extract all products and solutions from a company's website. Step 1: Fetch this URL and return the raw content: https://[COMPANY-DOMAIN]/sitemap.xml Step 2: From the sitemap, identify all URLs that are likely product or solution pages. Look for URL patterns containing words like: /products/, /solutions/, /platform/, /features/, /services/, /offerings/ Step 3: For each product/solution URL you identified, visit the page and extract: - Product name (canonical) - One-line description - Any alternate names or abbreviations mentioned on the page - The buyer problem it solves (if stated) Step 4: Return a clean table with columns: | Canonical Name | Alternate Names / Abbreviations | Description | Buyer Problem | Do not guess or infer. Only extract what is explicitly stated on the pages. Replace [COMPANY-DOMAIN] with the company URL, e.g. versa-networks.com
Open this prompt in Claude
ChatGPT
Perplexity
GeminiExtract competitors from G2, the company's own site, and Capterra
Build a ranked competitor list with mention frequency and source attribution.
I want to extract the competitors of a specific company from public web sources. Step 1: Visit the following pages and extract all named competitor companies: - https://[COMPANY-DOMAIN]/compare (if it exists) - https://[COMPANY-DOMAIN] (homepage, scan for "vs" or "alternative to" language) - https://www.g2.com/products/[COMPANY-NAME]/competitors (if accessible) - https://www.capterra.com/p/[COMPANY-NAME]/alternatives (if accessible) Step 2: For each competitor found, capture: - Competitor name (canonical) - Source where it was found (g2, capterra, own site, etc.) - Any context mentioned (e.g., "primary competitor", "alternative", "vs page exists") Step 3: Aggregate into a ranked table by frequency of mention: | Competitor | Times Mentioned | Sources | Context Notes | Step 4: Flag any competitors that appear in only one source as "weakly attributed" and any that appear in 3+ sources as "strongly attributed." Do not guess or infer competitors that aren't explicitly mentioned. Only extract what is on the page. Replace [COMPANY-DOMAIN] with the company URL, e.g. versa-networks.com Replace [COMPANY-NAME] with the slug used by G2/Capterra.
Unlock the 8 advanced prompts
The first two prove the method. These eight are the higher-leverage workflows: audit, synthesis, and generation tasks that compound over time. Drop your email once and all eight unlock on this page instantly.
We won't share your email. We'll send a follow-up with these prompts and one optional next-step email about how Zime uses this methodology with enterprise customers. Unsubscribe anytime.
Want the version that runs on your own call data?
These prompts work on public sources. The real leverage comes from running this methodology on your own call data instead. Book a 30-minute session and we'll show you how Zime uses it with real customer accounts.