The search bar has quietly become one of the most important pages on your website. Roughly 43% of visitors skip your navigation entirely and go straight to it, and the people who search convert at two to three times the rate of those who don't. The catch: about 68% won't come back after a bad search experience.
That puts a lot of pressure on a feature most teams set up once and forget.
If you run a Sitefinity site and you're weighing AI search for Sitefinity, three options come up again and again: ai12z, Progress Agentic RAG, and HawkSearch. We've built on all three, and the honest answer to "which one is best" is that it depends on what search needs to do for your organization. This post gives you a framework for deciding, rather than a winner we're trying to talk you into.
First, get clear on what search is for
Before comparing vendors, answer one question: what job is search doing on your site?
For some organizations, search is a utility. People want to find a document, a policy, or a product page, and they want it fast. For others, search is a conversion driver, where the quality of results directly moves revenue. And increasingly, search is becoming an assistant, where visitors ask a question in plain language and expect a real answer, not ten blue links.
Those are three different jobs, and the three platforms below are each strongest at a different one. Naming the job first makes the rest of the decision much easier.
ai12z: the accessible AI-first assistant
ai12z is purpose-built for generative AI search and digital assistants. Instead of returning a list of links, it understands a visitor's question and responds conversationally, drawing answers from your content. It uses a reasoning approach (RAG plus ReAct, if your technical team asks) and can return rich, interactive responses, including images, calls to action, comparisons, and carousels rather than plain text.
For a Sitefinity shop, two things stand out. It has a native Sitefinity connector with webhook-based content sync, so your content stays current without manual work, and it's by far the most affordable entry point of the three, starting around $99/month and landing in the roughly $1,200 to $5,000+ per year range for most mid-market deployments. It also supports 50+ languages out of the box.
The trade-offs are about maturity and model. ai12z is a newer platform without analyst recognition yet, and it's a smaller, private company, which is a risk profile worth weighing. It also doesn't do traditional faceted search. If your users expect to filter results by category, date, or other attributes the way they would on a retail site, that's not how ai12z works. It's a conversational model, not a filter-and-refine model.
Best fit: organizations that want to explore AI-first search and digital assistants without a large upfront commitment.
Progress Agentic RAG: the enterprise-governed option
Progress Agentic RAG is a first-party, RAG-as-a-service offering from the makers of Sitefinity itself. That lineage matters: it has the deepest native Sitefinity integration of the three, and it's built around an "agentic" model where the system can reason across your content to generate answers.
Where it really separates itself is governance. It offers source traceability so you can see where an answer came from, audit logs, and guardrails to keep responses on-brand and accurate. It handles 60+ file formats, works with multiple large language model providers, and is positioned as part of Progress's broader "generative CMS" vision. Notably, it can reach beyond your website to integrate with other internal systems, so it's less a site-search tool and more an enterprise knowledge layer.
That power comes at a price, and the pricing is the main thing to plan around. It starts higher, around $700/month plus token consumption, putting realistic annual costs in the $8,400 to $23,000+ range. Token-based pricing also means costs can be unpredictable as traffic grows. Like ai12z, it has no traditional search features such as facets or merchandising. And there's a strategic caveat worth saying plainly: if you only ever use it for basic site search, the value proposition is weak. This is a platform you grow into.
Best fit: organizations committed to the Progress ecosystem that need enterprise-grade governance and compliance, especially in regulated industries.
HawkSearch: the proven, feature-complete workhorse
HawkSearch is the most mature and feature-complete of the three. It's an enterprise search and product discovery platform with 800+ implementations and Gartner Magic Quadrant recognition, and it covers the full traditional toolkit: faceted search, merchandising, recommendations, and the "boost and bury" controls that let your team manually shape what surfaces first.
It has added AI capabilities too, including Smart Search AI, a Search Assistant chatbot, and an SEO Traffic Builder. The thing to understand is that AI is a newer addition for HawkSearch rather than its founding purpose, so if a conversational, generative experience is your single most important requirement, the two platforms above lead there. Where HawkSearch wins is breadth, proven scale, and control.
On cost, it sits in the middle, roughly $6,000 to $15,000+ per year, tiered by API calls and records. It's owned by Bridgeline Digital, a smaller public company, which is a lighter consideration than the early-stage risk of a newer vendor. Its real sweet spot is commerce: if search drives product discovery and conversions for you, HawkSearch is purpose-built for exactly that. For a pure content site with no catalog, it may be more than you need.
Best fit: organizations with e-commerce or product catalogs where search directly drives conversions.
A simple way to decide
Rather than scoring spreadsheets, run your situation through a few plain questions.
What role does search play? If it's an AI assistant answering questions, look at ai12z or Agentic RAG. If it's a conversion driver over a product catalog, look at HawkSearch.
How important is generative, AI-written answering? If it's a core need, ai12z and Agentic RAG are built for it first. If it's a nice-to-have layered on top of solid traditional search, HawkSearch covers both.
Do you need facets and merchandising? If filtering, refining, and manually promoting results matter to you, HawkSearch is the clear choice. The two generative platforms intentionally don't work that way.
How critical is governance? If you're in a regulated industry and need traceability, audit logs, and tight control over what the AI says, Agentic RAG is built for that.
What's your budget and risk tolerance? ai12z is the low-cost, early-adopter entry point. HawkSearch is the proven mid-range standard. Agentic RAG is the higher-investment, deeply integrated enterprise play.
One more option people often miss: you don't have to pick just one. Sitefinity's built-in search paired with ai12z or Agentic RAG is a sensible phased approach. Start with one capability, prove it against your own content and traffic, and add from there.
How to move forward
The right way to choose AI search for Sitefinity isn't to crown a universal winner. It's to name the job search is doing for you, weigh AI capability against cost, governance, and maturity, and then test your shortlist against your own content before you commit. Vendor demos use ideal data. Your results depend on your data.
A practical next step is to shortlist one or two platforms based on the framework above, then run a proof of concept with your real content and traffic patterns. That's the fastest way to turn a confident-sounding comparison into a decision you can actually stand behind.
If you'd like a second set of eyes, we've implemented all three and can help you weight these factors for your specific use case and run that proof of concept.
Run a real proof of concept.
We've implemented ai12z, Progress Agentic RAG, and HawkSearch on production Sitefinity sites. Tell us what search has to do for your organization and we'll help you shortlist and pressure-test the two that actually fit.
Talk to us about AI search for Sitefinity arrow_forwardComparison details based on publicly available information as of April 2026. Independent evaluation with your specific content is recommended.