Users can select up to 25 configured intent topics to positively influence ICP scoring. These topics provide a contextual boost for accounts actively showing interest in specific subjects or keywords.

This ensures that the AI ICP model captures both who the company is and what the company is currently interested in, improving accuracy and actionability in lead prioritization.

1. Intent Topic Selection Panel – When generating an AI ICP, a new section appears on the Setup ICP page, listing all configured intent topics. Users can select one or multiple topics to include in the scoring process.

2. Positive Behavioral Boost – Selected intent topics only increase ICP scores for accounts with matching topics. Accounts without identified topics remain neutral — ensuring fairness and no negative bias.

1. Behavioral Precision – Integrate intent data directly into AI ICP creation to identify high-interest accounts.

2. Contextual Scoring – Move beyond static attribute-based scoring to include interest-driven signals.

3. Sales Efficiency – Equip SDRs and marketers with better-targeted account insights that highlight real-time buying intent.

4. Fairness by Design – Accounts without intent data remain unaffected, preserving score neutrality.

1. Navigate to Setup Intent Topics and configure up to 25 topics.

2. Go to Setup ICP → Generate AI ICP. The Intent Topics section appears — select relevant topics.

3. Click Generate AI ICP.

4. In the Training Card View, see selected intent topics and their contribution to final scores.

5. The system incorporates the chosen intent topics into ICP scoring:

- Matching accounts receive a proportional positive boost.

- Non-matching accounts remain unaffected.

- No Intent Match: Accounts without any identified intent topics retain their original scores — ensuring neutrality.

- Partial Match: If an account matches only a subset (e.g., 7 out of 25) of topics, the boost is applied proportionally.

- High Intent Match: Accounts matching multiple configured topics receive a higher positive reinforcement, making them more prominent in ICP rankings.