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Julie Brettle 11 Aug 2025
Some AI search engines promise effortless implementation and full automation: plug in your content, and let the model do the rest. While hands-off tools sound appealing on the surface, they may limit transparency, governance, and content control, particularly in high-stakes or regulated environments.
If your organization operates in a regulated sector, serves diverse audiences, or depends on complex, high-stakes content, a more governed and configurable solution may be essential.
Squiz Conversational Search, built on the enterprise-grade Funnelback engine, adds value by striking a pragmatic balance, empowering teams with intuitive tools for governance, content control, and ongoing improvement. It doesn’t aim to replace your expertise with automation, but to enhance it through precision and flexibility.
This blog explores the key differences between hands-off AI search platforms and Squiz Conversational Search.
Hands-off AI search platforms emphasize automation. These tools are often marketed as quick to implement, requiring minimal configuration to start delivering results. They typically use external large language models (LLMs) trained on open datasets, combined with lightweight machine learning layers to interpret content and user queries.
Squiz Conversational Search offers the benefits of AI-powered answers with full transparency and governance. It layers a conversational interface on top of the Funnelback engine, giving technical teams deep configuration while enabling non-technical teams to contribute meaningfully to the search experience.
Here’s how Squiz Conversational Search delivers accurate, governed, and user-friendly results:
For more details on our unique, 5-step framework to prepare your website for AI search, check out this blog.
Unlike tools that treat AI as the search engine, Squiz Conversational Search uses the enterprise-grade Funnelback engine to control what content gets used and how the AI works with it.
Feature
Hands-off AI engines
Squiz Conversational Search within Squiz Funnelback
Ranking configuration
Good out-of-the-box ranking, but often non-configurable
Transparent, override-ready, and tunable
Content control
Often pulls from uncontrolled datasets or open web
Strict indexing from approved, trusted content only
Governance & source transparency
Automated ML with limited admin control, making it hard to trace how answers are generated
Transparent logging and answer traceability with source-based, auditable results
Risk of hallucination
High, as AI may generate false or unsourced answers due to lack of control over content crawled
Low, thanks to content crawling controls and a two-step verification process that checks every answer
Optimization
Limited configuration options; relies on passive learning from user behavior over time
Extensive tuning options from day one, including seasonal prioritization, curated answers, query overrides, and relevance weighting across 75+ signals
Content auditing tools
Typically lacks proactive tools to identify outdated or conflicting content
Includes pre-launch content audits and ongoing diagnostics to improve accuracy and flag content issues before they affect users
With Squiz, teams will soon be able to monitor search and AI performance from day one, using built-in dashboards that track top queries, user behavior, and answer effectiveness. This visibility helps optimize faster, without waiting for user complaints or guesswork.
To understand how hands-off AI engines compare to Squiz in real-world contexts, let’s break down some common scenarios across sectors:
When it comes to government websites…
…can offer fast responses to routine queries where content is consistent and standardized. But they may struggle with nuanced policy or compliance content if they lack content boundaries.
…enables teams to scope and manage content inputs, making it easier to ensure responses are grounded in up-to-date, approved policy and service guides.
Example:
A department launches an AI-driven FAQ tool…
…and over time, answers start referencing outdated PDFs or irrelevant sources, with no way to see what’s been used.
…and scopes the system to current service guides only, giving users answers backed by vetted content and traceable sources.
When it comes to higher education websites…
…can help with common queries like “term dates” or “how to apply.” But auditability becomes a challenge when students ask complex, context-specific questions.
…offers full traceability through query logs, two-step verification, and source attribution, helping staff understand and refine the AI’s behavior over time.
Example: A student asks “How do I defer my enrolment?”...
…and gets a vague response pulled from a dated blog post. Staff can’t see what source was used or why it was surfaced.
…and receives a clear, policy-backed answer with links to the deferment page. Staff can see exactly how the result was formed.
When it comes to professional services websites…
…can return quick answers for general service questions, but may lack the depth needed for complex legal or regulatory guidance without structured control..
…enables content owners to shape responses and prioritize high-trust content types, like regulatory briefings.
Example:A law firm launches an AI assistant to help clients find compliance information…
…and users get conversational responses that feel helpful, but require follow-up due to vagueness.
…and users asking questions like “What are the data retention requirements in NSW?” get a direct, source-backed response from a vetted regulation.
If you're evaluating whether your current AI search setup meets your standards for accuracy, governance, and team collaboration, it might be time to explore more flexible, transparent alternatives.
Hands-off AI platforms offer speed and ease, especially for low-risk use cases. But in content-rich, high-stakes environments, they may fall short in areas like control, explainability, and accuracy - all critical for building user trust.
Squiz Conversational Search, part of the Funnelback engine, gives you the best of both worlds: a powerful AI-driven experience that’s governed, transparent, and aligned with your organization’s standards from day one.
Explore how Squiz can help you create AI search experiences that are smarter, safer, and more useful, without giving up control.
Want advice on how to get started with conversational AI search? Book a 30-minute chat with a Squiz strategy consultant here.
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