> For the complete documentation index, see [llms.txt](https://docs.fuku.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fuku.ai/getting-started/markdown-1.md). # How to Outreach Candidates Through Fuku Fuku helps you reach the right candidates faster using AI-powered search and automated outreach — without manual follow-ups. #### Step 1: Search for Candidates Go to **Talent Search--** Enter your role requirements, skills, or keywords Use AI Search for better matching and ranking Review candidate profiles and shortlist relevant candidates #### Step 2: Link your Own Account with Fuku Go to settings, choose to link with Linkedin/WA/email by clicking the button respectively. You can set up a sequence with those 3 differnct channels (see below how to set up sequences). #### Step 3: Unlock Contact Details To contact a candidate, you’ll need to unlock their details: Email: 0.5 credit Phone number: 1 credit When sending **bulk messages**, contact details will be **automatically unlocked** for you. The same credit rules apply —\ **each contact unlocked = 1 credit per contact** (e.g. *X contacts = X credits*). #### Step 4: Start Outreach (Manual or Automated) You can reach out in two ways: **Option 1: Manual Outreach** Click Contact Candidate Send a personalized message directly Best for high-priority or senior roles **Option 2: Use Sequences (Recommended)** Select one or more candidates Click on the channel you need to use (WA/Linkedin/Email) Choose an existing sequence format or create a new one Messages will be sent automatically based on timing rules Sequences help you: Save time / Stay consistent / Increase response rates #### Step 5: Track Responses & Engagement You can monitor: Message delivery Replies Engagement status Once a candidate replies, the sequence automatically stops. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.fuku.ai/getting-started/markdown-1.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.