{"id":42669,"date":"2025-10-23T10:07:13","date_gmt":"2025-10-23T07:07:13","guid":{"rendered":"https:\/\/snov.io\/knowledgebase\/?p=42669"},"modified":"2025-11-05T14:03:29","modified_gmt":"2025-11-05T11:03:29","slug":"how-to-find-prospects-with-ai-search","status":"publish","type":"post","link":"https:\/\/snov.io\/knowledgebase\/how-to-find-prospects-with-ai-search\/","title":{"rendered":"How to find prospects with AI Search"},"content":{"rendered":"

This guide explains how to get the best results from your database searches when using AI.<\/p>\n

\n
If you don\u2019t have a clear customer profile yet, try Snov.io\u2019s ICP Generator<\/a>. It creates buyer profiles with details that will help you find the right leads for your company and product.<\/div>\n<\/div>\n

With more than a dozen search filters available in Database Search<\/strong>, it\u2019s easy to skip important parameters and miss out on the leads who fit you.<\/p>\n

Snov.io's AI can make your lead generation more intuitive and help with filter selection. Provide your ICP prospect description and get ready filters to start your search.<\/p>\n

\"\"<\/div>\n

How to use AI Prospect Search<\/strong><\/h2>\n

To get started, go to Database Search<\/a> or open it from the Finder<\/a> menu at the top.<\/p>\n

In the AI Search<\/strong> field, describe the prospects you want to find. AI will automatically set the search filters based on your criteria.<\/p>\n

\"\"<\/p>\n

How to search with AI for best results<\/strong><\/h2>\n

To get the best results from your searches, learn how our AI interprets your prospect descriptions.<\/p>\n

1. Use ICP keywords<\/strong><\/h3>\n

AI Search performs best when your requests include ICP keywords. Conversational language works too, but remember to double-check the suggested filters.<\/p>\n

Long ICP<\/strong><\/p>\n

Each keyword you mention converts into a search filter.<\/p>\n

\n
AI search template:<\/strong>
\n[Position] from [Industry] companies in [Location: city or country] with [Company size] number of employees that have an income [Revenue]<\/div>\n<\/div>\n
\"\"<\/div>\n

Short ICP<\/strong><\/p>\n

AI Search also works with simpler requests. Start with one filter, then add more details to narrow down your results.<\/p>\n

\n
Search by [Position], or [Location], or [Management Level].<\/div>\n<\/div>\n
\"\"<\/div>\n

2. Fine-tune your description<\/h3>\n

To find the exact prospects you need, consider how AI works with different search filters.<\/span><\/p>\n

[Position]:<\/strong><\/p>\n

When searching for exact positions, describe them as if you\u2019re writing about one person.<\/p>\n

Use the singular form when you need a specific job title. Job titles in prospect profiles are written this way, and AI looks for them the same way.<\/p>\n

\n
Search Manager <\/em>\u2192 AI will understand it as a prospect position.<\/div>\n<\/div>\n

Use the plural form when you want several related positions with similar seniority or within the same department.<\/p>\n

If your description is broader, AI may include multiple related positions that contain your keyword. This helps you find more relevant results.<\/p>\n

\n
Search Analyst<\/em> \u2192 your search will include related positions like Financial Analyst<\/em> or Data Analyst<\/em>.<\/div>\n<\/div>\n

\"\"<\/p>\n

[Management Level]:<\/strong><\/p>\n

When you want prospects of a certain seniority, specify the level you want instead of multiple positions.<\/p>\n

Search Managers <\/em>and AI will understand it as their seniority in the company and include all manager-level positions.<\/p>\n

Search C-Levels<\/em> \u2192 your search will include top execs such as CEOs, CFOs, COOs, CTOs<\/em>.<\/p>\n

\n
\"tip\"<\/div>\n
\n

Searching some positions in plural makes AI see it as a management level (multiple positions inlcuded).<\/p>\n

 <\/p>\n

Director<\/em> \u2192 position filter; Directors<\/em> \u2192 all director-level positions<\/p>\n<\/div>\n<\/div>\n

\"\"<\/p>\n

[Department]:<\/strong><\/p>\n

When you need all prospects from a certain department, search like this: Marketers from Canada, Sales from USA, Developers from Spain.<\/em><\/p>\n

Your results will include prospects with any related job titles.<\/p>\n

Ask Marketers<\/em> \u2192 get Marketing manager, content creator, SEO specialist<\/em>, PR and communications manager.<\/em><\/p>\n

\n
\"tip\"<\/div>\n
\n

Searching some positions in plural makes AI see it as a department.<\/p>\n


\n<\/em>Developer<\/i>\u00a0\u2192 position filter; Developers <\/i>\u2192 department filter.<\/p>\n<\/div>\n<\/div>\n

\"\"<\/p>\n

[Industry]:<\/b><\/p>\n

This filter helps you specify the main industry your prospects\u2019 companies belong to.<\/p>\n

For best results, use standard industry names instead of casual ones like \u201ctech.\u201d<\/p>\n

If your input isn\u2019t an exact match, the AI will suggest several related industries.<\/p>\n

For example, if you use a broad term like \u201ctech companies\u201d or \u201csoftware companies,\u201d your results will include multiple filters. You can always adjust these filters manually to get more precise results.<\/p>\n

\n
\"learn\"<\/div>\n
For very specific niches (like <\/span>Cybersecurity<\/span><\/i>, <\/span>SaaS<\/span><\/i>, or <\/span>AI<\/span><\/i>), add a <\/span>Specialty<\/span><\/i> filter manually, since AI might not always detect these from your description.<\/span><\/div>\n<\/div>\n
\"\"<\/div>\n

[Location]:<\/b><\/p>\n

The location can apply to both prospects and companies.<\/p>\n

\n
\"learn\"<\/div>\n
A prospect\u2019s location (as per their profile) may differ from the company\u2019s headquarters or primary office location.<\/div>\n<\/div>\n

Search by city \u2192 \u00a0Find prospects from Berlin.<\/em><\/p>\n

Search by company's HQ office location \u2192 Find prospects from companies in Canada.<\/em><\/p>\n

Search by broader regions \u2192 Find<\/em>\u00a0prospects from Europe\/ North America.<\/em><\/p>\n

[Company size]:\u00a0<\/b><\/p>\n

This filter helps you find prospects based on the number of employees in their company.<\/p>\n

You can specify an approximate number or a range of employees.<\/p>\n

\n
\n

\u201cFind prospects from companies with 50\u2013100 employees\u201d<\/span><\/p>\n<\/div>\n<\/div>\n

If you use a general size term, AI will automatically apply the default size range that best matches your request.<\/p>\n

\n
\n

\u201cFind prospects from small companies and startups\u201d<\/span><\/p>\n<\/div>\n<\/div>\n

[Revenue]:<\/b><\/p>\n

Use this filter to find prospects from companies with a specific monthly or annual income.<\/span><\/p>\n

For example, if you need growing startups or big market players.<\/span><\/p>\n

    \n
  • Set an income range \u2192 <\/b>your search will include companies with the income within that range.<\/span><\/li>\n<\/ul>\n
    \n
    \u201cFind prospects from SaaS companies with ARR from $1M to $5M.\u201d<\/span><\/div>\n<\/div>\n
      \n
    • Use \u201cstarting from\u201d or \u201cup to\u201d \u2192 <\/b>we\u2019ll automatically apply the lowest or highest available revenue for the missing side of the range.<\/span><\/li>\n<\/ul>\n
      \n
      \u201cProspects from startups with up to $500K revenue\u201d.<\/span><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

      This guide explains how to get the best results from your database searches when using AI. If you don\u2019t have a clear customer profile yet, try Snov.io\u2019s ICP Generator. It creates buyer profiles with details that will help you find the right leads for your company and product. With more than a dozen search filters […]<\/p>\n","protected":false},"author":16,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"_links":{"self":[{"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/posts\/42669"}],"collection":[{"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/comments?post=42669"}],"version-history":[{"count":20,"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/posts\/42669\/revisions"}],"predecessor-version":[{"id":43054,"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/posts\/42669\/revisions\/43054"}],"wp:attachment":[{"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/media?parent=42669"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/categories?post=42669"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/snov.io\/knowledgebase\/wp-json\/wp\/v2\/tags?post=42669"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}