AI property examples library

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Timing signals

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Recently raised funding

• Output type: Yes / No
• Instructions: “Check for press releases, Crunchbase entries, or news articles about this company raising a funding round in the last 6 months. Answer Yes only if there is a confirmed round with a named investor or disclosed amount. Rumors or unconfirmed reports do not count.”

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Actively hiring for relevant roles

• Output type: Yes / No
• Instructions: “Search the company’s careers page, LinkedIn job postings, and job boards for open roles related to [your product area — e.g., data engineering, marketing operations, sales enablement]. Answer Yes if there are 2+ active postings in this area within the last 60 days. A single generic posting does not qualify.”

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Recent leadership change

• Output type: Yes / No
• Instructions: “Check LinkedIn, press releases, and news for a new C-level or VP-level hire at this company within the last 3 months. Answer Yes if a new executive joined in a department relevant to our product [e.g., CTO, VP Engineering, VP Marketing]. Internal promotions count. Answer No if the only changes are at Director level or below.”

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Expanding into new markets

• Output type: Yes / No
• Instructions: “Look for evidence that this company is expanding geographically or into new verticals — new office announcements, job postings in new regions, press releases about market expansion, or new product launches targeting different industries. Answer Yes only if expansion is actively underway, not speculative.”

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Context signals

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Technology stack

• Output type: Dropdown
• Options: AWS, GCP, Azure, Multi-cloud, On-premise, Unknown
• Instructions: “Determine the company’s primary cloud infrastructure provider. Check job postings (required certifications and skills), engineering blog posts, case studies, and technology partner pages. Classify as Multi-cloud if there is clear evidence of two or more providers in production use. Classify as On-premise if the company primarily runs its own data centers. Classify as Unknown if there is insufficient evidence.”

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Primary use case for [your product category]

• Output type: Freeform
• Instructions: “Based on the company’s industry, job postings, blog content, and public case studies, describe in 1–2 sentences what their most likely use case would be for [your product category]. Be specific — don’t say ‘they would use it for analytics.’ Say ‘their marketing team likely needs to attribute pipeline to multi-touch campaigns across paid and organic channels.’ If there is not enough information, say so.”

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Competitive tools in use

• Output type: Dropdown
• Options: [Competitor A], [Competitor B], [Competitor C], Multiple, None detected, Unknown
• Instructions: “Check the company’s job postings for required tool experience, their technology stack on BuiltWith or similar tools, case studies, and G2/TrustRadius reviews they have authored. Classify based on which competitor’s product they currently use. Classify as Multiple if evidence points to more than one. Classify as None detected if no competitive tools are found.”

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Company pain points

• Output type: Freeform
• Instructions: “Analyze the company’s recent job postings, blog content, press releases, and any public reviews (G2, Glassdoor) to identify their top 2–3 operational challenges related to [your product area]. Focus on problems your product solves. Be specific — instead of ‘they need better data,’ say ‘they are hiring 3 analytics engineers simultaneously, suggesting their current reporting infrastructure cannot keep up with demand.’ If insufficient evidence exists, say so.”

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Fit signals

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ICP fit score

• Output type: Score (0–10)
• Instructions: “Evaluate how well this company matches our ideal customer profile on a 0–10 scale. Our ICP is [describe your ICP — e.g., B2B SaaS companies with 200–2000 employees, Series B+, selling to enterprise buyers, with a sales team of 10+]. Score 8–10 if the company matches all criteria. Score 5–7 if it matches most but is missing one dimension (e.g., right size but B2C). Score 2–4 if it matches on one dimension only. Score 0–1 if there is no meaningful overlap.”

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Has a dedicated [relevant team]

• Output type: Yes / No
• Instructions: “Determine whether this company has a dedicated [e.g., Revenue Operations, Data Engineering, Growth Marketing] team. Check LinkedIn for employees with relevant titles, the company’s team/about page, and job postings. Answer Yes if there are 3+ people with titles in this function. A single person with a tangential title (e.g., one ‘Marketing Coordinator’ does not imply a Growth Marketing team) does not qualify.”

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Annual revenue range

• Output type: Dropdown
• Options: Under $10M,$10M–$50M,$50M–$200M,$200M–$1B, Over$1B, Unknown
• Instructions: “Estimate the company’s annual revenue range using public sources: funding announcements, press releases mentioning revenue milestones, employee count (as a proxy), Crunchbase, PitchBook, or similar databases. If the company is public, use reported revenue. For private companies, use the best available estimate. If insufficient evidence exists, classify as Unknown.”

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Product-market fit maturity

• Output type: Score (0–10)
• Instructions: “Evaluate how established this company’s product-market fit appears on a 0–10 scale. Indicators of strong PMF (8–10): rapid hiring, customer case studies, strong G2/product reviews, visible market presence. Indicators of moderate PMF (5–7): steady growth, some customer evidence, active but not explosive hiring. Indicators of early/weak PMF (0–4): very small team, no public customer references, pivot signals, or very early stage with minimal traction.”

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Industry-specific examples

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SaaS / DevTools

• Output type: Yes / No
• Instructions: “Check if this company’s engineering team actively adopts developer tools and open-source technologies. Look for: GitHub organization activity, open-source contributions, engineering blog posts about tooling decisions, job postings mentioning modern developer tools (CI/CD, observability, infrastructure-as-code). Answer Yes if there is evidence of active tool evaluation and adoption culture. Answer No if the engineering presence is minimal or tool decisions appear centrally mandated with no experimentation.”

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Marketing / RevOps

• Output type: Score (0–10)
• Instructions: “Evaluate how sophisticated this company’s marketing operations are on a 0–10 scale. Check for: marketing automation tools in use (job postings, tech stack), number of active paid channels (Google Ads, LinkedIn Ads, Facebook), content marketing volume (blog frequency, resource library), event presence (webinars, conferences). Score 8–10 for companies running coordinated multi-channel campaigns with dedicated ops. Score 5–7 for companies with some marketing infrastructure but gaps. Score 0–4 for companies with minimal marketing beyond a website.”

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Sales / Revenue

• Output type: Dropdown
• Options: Founder-led sales, Small team (1–5 reps), Mid-size team (6–20 reps), Large team (20+ reps), Unknown
• Instructions: “Estimate the size and structure of this company’s sales organization. Check LinkedIn for employees with sales titles (AE, SDR, BDR, Account Manager, Sales Manager, VP Sales), the company’s team page, and recent job postings. Founder-led sales means the CEO or founders are the primary sellers with no dedicated sales hires. If insufficient evidence exists, classify as Unknown.”

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How to use these examples

1. Navigate to the AI Agent Builder and click Add Property.
2. Copy the name and instructions from an example above.
3. Select the matching output type (and add dropdown options if applicable).
4. Customize the instructions for your specific product and ICP — the bracketed placeholders (e.g., [your product area]) must be replaced with your details.
5. Save and run research on a few test companies to validate the output quality.