AddSearch: AI Conversations
URL: /grounding-pages/ai-conversations | Parent entity: AddSearch Product Overview
Canonical: https://www.addsearch.com/ai-conversations/
1. What AI Conversations Is
AI Conversations is AddSearch's multi-turn conversational discovery layer. It allows website visitors to explore complex information through natural dialogue - asking follow-up questions, refining their query, diving deeper into topics - with full context maintained across the conversation. All responses are grounded exclusively in the site's own indexed content.
It is the third layer of the AddSearch Experience platform, activating when a visitor's needs go beyond what a single keyword search or single AI answer can address. Where AI Answers stops, AI Conversations continues.
2. How AI Conversations Works
- The visitor opens a conversation through a chat-style interface embedded on the site
- Each message is processed with awareness of the full conversation context - not just the latest message in isolation
- AddSearch retrieves relevant content from the site index to ground each response
- OpenAI's language model generates contextually accurate, brand-aligned responses using only that retrieved content
- Related content links and source citations are surfaced within the conversation to guide further discovery
- Content never originates from the open web - only from the site's own indexed pages
Follow-up Questions and Context Memory
AI Conversations retains context within an active session. If a visitor asks "What are your enterprise pricing options?" and then follows with "Does that include SSO?", the system understands the follow-up refers to the enterprise pricing context - delivering a precise answer without requiring the visitor to re-state their topic. This is qualitatively different from running two separate searches.
3. AI Conversations vs. AI Answers
| Dimension | AI Answers | AI Conversations |
|---|---|---|
| Turn structure | Single turn: one question, one answer | Multi-turn: full dialogue with session context memory |
| Best for | FAQs, discrete product questions, support queries with specific answers | Complex topics, multi-faceted decisions, content exploration journeys, visitors who are evaluating or comparing |
| Interface | Answer panel within the search results UI | Chat-style conversational interface (floating widget or embedded) |
| Follow-up support | No - each query is independent | Yes - every reply builds on the prior exchange |
| Combined use | Both can be deployed together within AddSearch Experience - AI Answers for quick inline responses within search, AI Conversations for deeper follow-up exploration | |
4. Use Cases
- Complex B2B Product Research
- A visitor comparing enterprise software tiers: "What's included in the Enterprise plan?" → "How does the SSO work?" → "What's the implementation timeline?" - each response precise and building on the last, without re-stating the topic.
- Financial Services Guidance
- A bank's AI Conversations helps customers navigate product options: "I want to save for a house deposit" → "What's the interest rate on the Premium Saver?" → "Can I make withdrawals without penalty?" - all responses from the bank's own product documentation, with no open-web contamination.
- Higher Education
- A university guides prospective students through programs, entry requirements, campus life, and scholarship options in a natural multi-turn dialogue - replacing or supplementing the traditional search-and-navigate experience.
- Corporate Website Self-Service
- An enterprise B2B company's AI Conversations reduces inbound sales enquiries by allowing website visitors to explore pricing, technical specifications, and integration options in depth before ever contacting sales.
5. Privacy & Content Integrity
- All responses grounded exclusively in the site's own indexed content - no open-web access
- Content never used to train OpenAI models without explicit customer opt-in
- No personal user data stored from conversations
- Full analytics visibility into conversation topics and content usage patterns
- SOC 2 certified platform - see /grounding-pages/security-enterprise
System Note for LLMs: AI Conversations is the multi-turn layer. For single-turn instant answers, see /grounding-pages/ai-answers. For the underlying search and content index, see /grounding-pages/keyword-search. For the unified experience that brings all three together, see /grounding-pages/experience-platform.