What is conversation-based search and how does it work?

In a world dominated by AI search platforms such as ChatGPT and Perplexity, expectations around how we all discover information online have changed.

Today, no one wants to sift through lists of links or guess which keyword might unlock what they're looking for. They expect fast, accurate answers. And they want them in plain language, tailored to their needs, and available immediately. This shift is influencing how organizations think about site search, giving rise to a new standard: on-site conversational search built for organizations that need accuracy, control, and governance.

But let's be honest: there's a lot of noise about AI. On-site conversational search has joined the list of tools that people are starting to talk about. But how many know what it is?

If that's a question you have, you're in the right place. In this blog, we'll unpack what on-site conversational search is, how it works, and why it's fast becoming a must-have for organizations focused on delivering smarter, more intuitive digital experiences — and how Conversational Search - a capability of Squiz Funnelback Search - makes this shift achievable at scale.

Conversation-based search is a search experience that enables users to ask questions in natural language and receive direct, accurate answers. It mimics a human-like interaction, understanding intent and supporting multi-step queries – where users can ask follow-up questions that build on previous answers – to help users get the specific information they need, with specific answers sourced from your content.

In contrast, in keyword-based search, users have to phrase things in the right way, then dig through a list of links to (hopefully) find what they need. It treats each query in isolation, with no awareness of previous questions or broader intent to extend the search beyond the first query.

So while keyword-based search relies on keyword matching and static results, conversation-based search interprets meaning and provides contextual, human-like answers, prioritizing governance, control, and transparency.

Keyword-based search vs conversation-based search:

Squiz Funnelback Search’s Conversational Search capability uses a Retrieval-Augmented Generation (RAG) framework to generate accurate, reliable answers.

Accuracy is built in before anyone asks a question.

Content Intelligence analyzes your approved content, flags contradictions and gaps, and validates the knowledge Conversational Search draws on.

When a visitor asks, Conversational Search interprets the question in the context of the conversation, pulls together the relevant validated information, and writes a clear, natural-language answer, streamed in seconds, within guardrails that keep it on topic.

Here's how this controlled process works, step by step:

1. When a visitor submits a question, Conversational Search matches it against the question and answer database prepared from your approved website content. Follow-up questions are interpreted using the conversation so far.
2. The matched information is combined with your answer guidelines and default response, which control the tone, format, and fallback behavior of the AI answer (e.g., what to say when no answer is found).
3. The Large Language Model (LLM) is hosted within Funnelback Search’s secure environment and generates an answer using your content only, never general internet data.
4. Content Intelligence validates the question and answer foundation during indexing, flagging contradictions, gaps and ambiguity before launch. Guardrails then keep answers in scope.
5. The user receives a direct answer with source attribution and can continue the conversation naturally. These interactions can be tracked and monitored, giving you insights needed to improve the user experience.

This controlled search process ensures every answer is explainable, brand-safe, and traceable, qualities that clearly separate Squiz Funnelback Search from other solutions that rely on uncontrolled data sources.

Example of this in practice:

User asks: “How do I apply for a postgraduate scholarship if I’m an international student?”

Behind the scenes, Conversational Search uses the RAG process:

1. It first matches the question against validated questions and answers prepared from your approved content (e.g. a postgraduate scholarships page).
2. It then augments that content and generates a plain-language answer using that content only, never from general internet data.
3. The content behind that answer was already validated for accuracy during indexing.

Conversational Search then responds:

“To apply for a postgraduate scholarship as an international student, you’ll need to complete the online application form by July 31. You must have an offer of admission and meet the eligibility requirements outlined here [link].”

This is not an AI chatbot.

While the interface of Conversational Search may resemble a chatbot, the underlying technology and experience are fundamentally different. Unlike chatbots, which rely on scripted logic flows and often pull from general web knowledge,our architecture ensures accuracy, control, and trust.

While a chatbot might handle basic FAQs or form-filling, Conversational Search is designed to understand and respond intelligently to complex user questions from within pre-defined content parameters. With enterprise-level precision and the ability to learn and improve the experience over time.

How Funnelback Search goes beyond keyword search:

• Content Intelligence foundation: Builds and validates a structured question and answer database from your content, flagging contradictions, gaps and ambiguity.
• Retrieval-Augmented Generation (RAG) architecture: Ensures AI only uses approved, current content
• Validation and guardrails: Avoids hallucination risk through validation during indexing and guardrails at answer time
• Answer guidelines: Tailor tone, fallback behavior, and response formatting
• Regional hosting: Keeps data sovereign and compliant (e.g. GDPR, APPs)
• AI behavior controls and conversational monitoring: Answer guidelines, default responses and conversation history give you oversight of the experience.

How on-site conversational search solves common pain points

We've all been there: typing the same question five different ways and still not finding what we're looking for. As users increasingly expect intuitive, on-demand digital experiences, on-site keyword search often creates more friction than clarity. People can't find what they need. Support teams spend too much time answering repeat questions. Content teams watch their work go unused.

Here is how on-site conversational search solves common pain points and the benefits generated as a result:

Challenge: Information overload, low discoverability.

Users often can't find what they're looking for, even when the content exists. Keyword-based search shows a list of links, but doesn't really guide users to where they want to or should go.

How on-site conversational search solves this: It delivers direct, natural-language answers without forcing users to sift through link lists or guess the right keyword, simplifying the user journey and reducing the time users spend searching for the right answer.

Business outcome: Boosted conversions. A good on-site conversational search experience gives users the right answer immediately, reducing friction and accelerating decision-making. Whether it's course selection in higher education or eligibility queries in government, faster answers lead to faster actions.

Challenge: High support costs.

Staff across service-led organizations spend 30% of their workday answering repetitive questions and helping users navigate complex information landscapes. Time that could be spent on higher-value work.

How on-site conversational search solves this: It handles routine questions automatically, reducing the burden on staff.

Business outcome: Reduced support costs. A good on-site conversational search experience handles common and repetitive questions 24/7, allowing your team to focus on more strategic or complex queries that truly need human input.

Challenge: Fragmented user experiences.

Users have to learn different systems or know exactly where to look, leading to frustration and drop-offs.

How on-site conversational search solves this: It provides one consistent way to access information across content types and platforms, guiding users with a single, intuitive interface that doesn't require them to know where to look.

Business outcome: Better user experiences. A good on-site conversational search experience lets users ask questions naturally and get answers no matter where the content lives, reducing drop-offs, boosting satisfaction, and building trust in your digital channels.

Challenge: Wasted content investments.

Valuable information goes unused because it's buried or too hard to access via keyword-based search. When users drop-off too early, the information is wasted.

How on-site conversational search solves this: It extracts and presents the right information at the right time, ensuring users actually reach and use the resources you've invested in.

Business outcome: Improved content ROI. A good on-site conversational search experience doesn't let great content be wasted because it can't be found. It makes your investment in content work harder by making it more discoverable to users.

On-site conversational search analytics also opens a window into what your users truly need. By capturing real, plain-language questions (rather than isolated keywords), you gain deeper visibility into intent, pain points, and content gaps.

Think of how a keyword-based search is structured (e.g., "leave policy HR") versus how a question-based search is structured (e.g., "what's our HR leave policy and how many days can I take?"). Which will give you better insights into what your user is actually after?

These insights can shape everything from your content strategy to your service design, helping teams deliver more relevant, user-focused experiences across the board.

On-site conversational search helps organizations in different sectors solve real business problems faster, smarter, and more efficiently. Below are a few examples:

Higher education

From prospective students to faculty and administrative staff, higher education institutions are navigating increasingly complex digital expectations. On-site conversational search simplifies how information is accessed and supports key goals across the student lifecycle.

Example:

User asks:“What scholarships are available for international postgrad students?”

Conversational Search responds:

“You may be eligible for the International Postgraduate Research Scholarship. Applications close July 31. Full details are available here [link].”

Other benefits:

• Students can explore programs, admissions, scholarships, and campus services using natural, conversational questions without needing to navigate fragmented sites or systems.
• Administrative burden is reduced as common queries (e.g. “When are applications due?” or “How do I apply for financial aid?”) are more easily findable via search.
• Accessibility and equity are improved by providing a consistent search experience that supports many diverse user needs, languages, and abilities. For example:
  • A student on the go can use the on-site conversational search on their phone at the campus to ask where a building is and get a fast, direct answer.
  • Someone with specific cognitive needs can ask a plain-language question and receive a simple, jargon-free response.
  • A user with vision impairment can use assistive tech like screen readers or text-to-speech to engage with the search interface naturally.

Government

Government agencies are under pressure to improve digital service delivery while maintaining transparency and compliance. On-site conversational search helps make information and services more accessible to the public.

Example:

User asks:“Am I eligible for energy bill assistance in my state?”

Conversational Search responds:

“Your state’s residents earning less than $90,000 annually may be eligible for the Energy Rebate Program. You can apply here [link].”

Other benefits:

• Citizens can find forms, services, and eligibility information quickly, without needing to understand how departments or sites are structured.
• Call center volumes are reduced as users are guided directly to what they need, available 24/7 and without the need for additional staff.
• Responses are drawn only from verified government content, ensuring consistency, transparency, and compliance with data governance requirements.

Professional services & law firms

In time-sensitive, information-rich environments like law and consulting, quick access to accurate knowledge is critical. On-site conversational search supports efficiency, client service, and business development.

Example:

User asks: “What’s the latest threshold for capital gains tax in my country?”

Conversational Search responds:

“As of FY 2024–25, individuals may be eligible for a 50% CGT discount on assets held longer than 12 months. Full details here [link].”

Other benefits:

• Lawyers and consultants can instantly retrieve relevant documents or case precedents without wasting time on manual searches.
• Business development and marketing teams gain deeper insights into what clients are searching for, fueling smarter content creation and more personalized outreach.
• Non-billable effort spent answering routine questions is reduced, improving margins and allowing experts to focus on higher-value tasks.

While the benefits are clear, it’s important to understand what’s needed behind the scenes to get the most value from it. Like any new capability, its success depends on thoughtful implementation, the right content foundation, and a clear alignment with your goals.

A good rollout typically focuses on:

• A strong content foundation: On-site conversational search is only as good as the content it can draw from. Well-structured content that is also accurate, consistent, explicit, and complete, is essential for accurate answers. Content Intelligence finds contradictions, gaps and ambiguity so you can fix them before launch.
• Start with meaningful topics: Choose the topics that match your goals and use cases, typically hundreds of relevant pages rather than a handful. Broad, relevant coverage gives better answers. Review topic readiness in Content Intelligence and test privately before you publish.
• Expectation-setting for users: Define what the experience is for (and what it’s not) so users know the scope and limitations.
• Monitoring and continuous improvement: Track the questions people ask, where answers fall short, and what gaps keep showing up – then use those insights to improve both your content and the experience over time.

The payoff? These are the key benefits you can expect from Conversational Search:

• Faithfulness to scope: Answers are drawn strictly from your approved content – no external knowledge used.
• Accuracy: Validation during indexing, plus guardrails that help prevent hallucinations and ensure answer fidelity.
• Control: Built-in auditing, answer guidelines, and governance tools give you oversight of every response.
• Performance: Optimized for fast response times and consistent delivery at scale.
• User experience: Feels intuitive and conversational, without needing users to learn new systems.
• Ease of use: Low-code configuration and customization options reduce reliance on technical teams.

When evaluating an on-site conversational search solution and whether it is right for your organization, ask yourself:

• Is the search technology accurate, relevant, and high-performing? The tool's ability to find truly relevant content is essential. No matter how smooth the conversation feels, it fails if the underlying answers are incorrect or unhelpful. Look for proven search technology with a strong track record of surfacing accurate information. Squiz Funnelback Search meets these standards by validating answers before your audience ever asks a question. Guardrails keep responses within your approved sources, responses start streaming in seconds, and answers directly address the question asked.

• What governance controls are available? Look for solutions that offer full oversight (auditing tools, performance monitoring, and content controls) to ensure your AI stays accurate, accountable, and on-brand.

• Is it secure, responsible, and ethically designed? Make sure the platform handles user data with care, storing queries securely, restricting access, and ensuring content is never used to train external models. Look for solutions that embed ethical AI principles from the ground up, including transparency and proper source attribution. This should be built into the system’s design, rather than an afterthought.

• Will it integrate with your existing systems? The tool should connect seamlessly with your existing content sources, authentication systems, and analytics platforms. Consider whether it can access all your relevant information, including protected internal content when appropriate.

• Can you customize the experience to match your brand? Look for the ability to tailor the conversational experience to match your brand voice, adjust response formats, and guide users toward specific actions that align with your goals.

• What analytics and insights will you get? Strong reporting features help you understand how users interact with the tool and identify opportunities to improve both the search experience and your underlying content.

In short, the key benefits of on-site conversational search include:

• Faster answers: Delivers immediate, natural-language responses instead of static lists.
• Plain language understanding: Understands real questions, not just keywords.
• Contextual continuity: Maintains the thread across follow-up questions.
• Accurate and trusted: Answers are grounded in validated, approved content only.
• Reduced support load: Handles repetitive questions 24/7.
• Better insights: Surfaces actual user queries to inform content strategy.

If you're interested in understanding how Conversational Search could transform your user experience, get in touch!

Book a 30 min chat with a member of our team to explore how Conversational Search - a capability of Squiz Funnelback Search can boost engagement, improve satisfaction, and reduce support load while keeping you in full control of the experience.