ChartPull has two search modes: instant keyword matching (included in every base license) and AI-powered natural language search (requires the AI Features add-on). Both work from the same search bar.
Start typing in the search bar and results appear instantly. Keyword search matches against four fields: name, job title, department, and email address.
The search is a substring match, which means you do not need to type the full name. For example, typing smi will match “John Smith”, “Smithson”, and “Asmita Patel”. It is also case-insensitive, so engineering and Engineering return the same results.
Common uses:
Instead of typing keywords, you can ask a question in plain English. ChartPull uses AI to understand what you mean and returns the right employees, even if you do not know their exact name or title.
How it works:
When you type into the search bar, ChartPull automatically detects whether your query is a keyword or a natural language question. It looks for signals like question words (“who”, “what”, “how many”), action words (“show”, “find”, “list”), relational terms (“reports to”, “manages”, “under”), and queries longer than three words.
If the AI detects a natural language query, it processes your question, matches it against your organisation data, and returns results. If the AI is uncertain or fails, it silently falls back to keyword search so you always get results.
No query limits
AI search is included with the AI Features add-on on all tiers. There is no per-query charge and no monthly cap.Here are ten real-world queries you can try with AI search. Each one demonstrates a different type of question the AI can handle:
What it does: Returns all direct reports of Sarah Chen, showing their names, titles, and departments.
Use case: You are preparing for a meeting with Sarah and want to know the structure of her team beforehand.
Real-world scenario
Quantum Inc — 500 employees, 4 offices
Lisa, the VP of HR at Quantum Inc, needs to identify all engineering managers in the Sydney office for a leadership offsite. In a traditional directory, she would need to export the full employee list, filter by department, then cross-reference locations manually.
With ChartPull, she types: who runs engineering in Sydney
In under two seconds, the AI returns four engineering managers based in Sydney, complete with their reporting chains. Lisa clicks each result to see their team sizes, confirms the list, and exports it as a CSV to attach to the offsite calendar invite.
Time saved: approximately 25 minutes compared to manual spreadsheet filtering.