Documentation Index
Fetch the complete documentation index at: https://docs.kakiyo.com/llms.txt
Use this file to discover all available pages before exploring further.
This guide is for dashboard users. Everything below happens inside the Kakiyo dashboard. No code or API calls required.
An offering is the AI’s knowledge base about your product or service. The more detailed and accurate your offering, the better the AI agent writes personalized, relevant messages. Think of it as training material — you’re teaching the AI what you sell, who it’s for, and why it matters.
What an Offering Contains
An offering typically includes:| Section | Purpose | Example |
|---|---|---|
| Product description | What your product does | ”Kakiyo is an AI-powered LinkedIn outreach tool that automates personalized conversations” |
| Key features | What differentiates your product | ”End-to-end conversation automation, real-time lead qualification, CRM sync” |
| Target audience | Who your ideal customer is | ”B2B SaaS companies with 50-500 employees, targeting VP Sales and CROs” |
| Value propositions | Why someone should care | ”Save 15 hours/week on manual LinkedIn outreach while increasing reply rates by 3x” |
| Objection handling | Common pushbacks and how to address them | ”If they mention a competitor, highlight our AI conversation quality vs. simple sequence tools” |
| Pricing (optional) | How to handle pricing questions | ”For pricing, direct prospects to a call or visit our pricing page” |
How to Access Offerings
- In the sidebar, click Offerings.
- The offerings page lists all your existing offerings.
- Click Create Offering to create a new one.
Method 1: Website Scraping (Recommended for Most Users)
Let Kakiyo automatically extract product information from your website.- Click Create Offering.
- Select the website scraping option.
- Enter your main product page URL (e.g.,
https://yourcompany.comorhttps://yourcompany.com/product). - Click Scrape.
- Kakiyo analyzes the page and generates a complete offering.
- Review each section in the editor.
- Edit or add information as needed — the AI extraction is a starting point, not a final product.
- Click Save.
Limitation: Website scraping is not ideal if your site requires login, has content behind a paywall, or has multiple distinct products on the same page. In those cases, use Smart Builder or Manual creation.
Method 2: Smart Builder (Guided AI Generation)
Answer questions and let the AI generate your offering.- Click Create Offering.
- Select Smart Builder.
- Answer the prompted questions about your product, audience, and value proposition.
- Click Generate.
- Review the generated offering.
- Edit sections as needed.
- Click Save.
- Your website doesn’t have enough product content
- You want to describe a specific offering that’s different from your website’s general messaging
- You’re targeting a niche audience and need tailored positioning
Method 3: Manual Creation
Write every section yourself for full control.- Click Create Offering.
- Select Manual.
- Fill in each section of the offering form:
- Product/service name
- Description
- Key features and benefits
- Target audience
- Value propositions
- Objection handling notes
- Click Save.
- After saving, click the Improve with AI button to have Kakiyo suggest improvements. The AI analyzes your text and recommends edits for clarity, completeness, and structure.
Editing an Existing Offering
- Go to Offerings in the sidebar.
- Click the offering you want to edit.
- Make your changes in the editor.
- Click Save.
One Offering vs. Multiple Offerings
| Scenario | Approach |
|---|---|
| One product, one audience | One offering is enough |
| One product, multiple audiences (e.g., enterprise vs. SMB) | Create separate offerings with audience-specific messaging |
| Multiple products | Create one offering per product |
| Testing different positioning | Create multiple offerings and compare performance across campaigns |
How Offerings Affect Message Quality
The offering is the AI’s primary knowledge source when writing messages:| Conversation stage | How the offering is used |
|---|---|
| First message | The AI uses product features and value propositions to personalize the opening message to the prospect’s profile |
| Handling replies | When a prospect asks about your product, the AI draws from the offering to answer accurately |
| Handling objections | If a prospect pushes back, the AI uses objection handling notes to respond |
| Qualification | The AI uses target audience info to assess whether the prospect is a good fit |
Offering Best Practices
- Be specific, not generic — “We help B2B SaaS companies with 50-500 employees reduce churn by 30%” beats “We help companies grow.”
- Include real numbers — conversion rates, time saved, cost savings. The AI uses these to make messages more compelling.
- Add objection handling — list the top 3-5 objections you hear and how to address them. This significantly improves conversation quality.
- Update regularly — as your product evolves, update the offering. Outdated information leads to inaccurate messages.
- Test with the Sandbox — after creating or editing an offering, test it in the Sandbox to see how it affects the AI’s messages.
Common Mistakes
| Mistake | Why it’s bad | Fix |
|---|---|---|
| Combining multiple products in one offering | AI gets confused about what to pitch | Create one offering per product |
| Brief, one-line descriptions | AI produces generic messages | Write 2-3 detailed paragraphs minimum |
| No objection handling | AI can’t address pushback | Add your top 3-5 objections and responses |
| Using marketing jargon | AI copies the jargon, sounds unnatural | Use plain language the prospect would use |
| Skipping “Improve with AI” on manual offerings | Formatting issues reduce AI comprehension | Always click Improve with AI after saving |

