A visitor lands on your site with a real question. They type what they mean into the search box ("can you make a lighter gear for an EV powertrain," "metal parts that don't need extra machining," "do you handle low-volume prototype runs"), and get back a page of nothing, or a page of the wrong things. So they leave. Maybe they check a competitor.
That's the quiet failure mode of keyword-only search. It doesn't crash or throw an error. It just under-delivers for the visitors who are most likely to convert. People who use your on-site search are telling you exactly what they want. They're your highest-intent traffic, and keyword-only search makes them guess the magic words before it will help them. Keyword search was the default for years because it was the only option. It isn't anymore, and staying on it limits what your site can do.
What keyword-only search actually costs you
Keyword search matches strings, not meaning. It looks for the words the visitor typed and returns pages where those exact words appear. The burden is on the visitor to guess your vocabulary, and they might guess wrong, especially a first-time visitor who doesn't know your terms yet.
Someone searches "pricing" and your page says "cost." They ask a full question and your index only understands nouns. They use the industry term when your content uses the plain-language one, or they half-remember a product name and spell it their own way. Each of those is a page you paid to create, sitting right there, that your search doesn't surface. It shows up in your bounce rate.
You can patch around this with synonym lists, word-variation rules, and typo tolerance. Those help, but they're maintenance debt: a list of hand-curated word pairs that someone has to keep feeding, and that never quite catches up to how real people phrase things.
It's worth clearing up one common assumption here: faceted search isn't the fix either. Filters and facets are genuinely useful for helping people narrow a set of results, and plenty of sites should have them. But faceting is a layer on top of keyword matching. The visitor still has to land on the right results before they can filter them. It refines the list; it doesn't understand the question. Understanding the question is a different kind of search entirely.
Semantic search: from words to meaning
Semantic search closes the gap between what people ask and what you've written. Instead of matching the literal characters in the query, it converts both the question and your content into mathematical representations of meaning, then ranks results by how conceptually close they are. In practice, that means a search for "metal parts made without machining" can surface a page titled "Near-Net Shape Components" with zero shared keywords. Exactly the right answer.
Keyword search asks did the words match? Semantic search asks did the meaning match? For a marketing team, that's the difference between a search box that only works when visitors already know your terminology and one that meets them in their own words. Your existing content doesn't change. It just becomes findable the way people actually ask.
Better matching is only half of it. Once a system understands meaning, it can skip the list of links entirely and hand the visitor a direct, cited answer assembled from your own content, with the source pages linked so nothing is a black box. It can also reach the material that keyword search tends to skip: PDFs, spec sheets, policy documents, product manuals, even video and images. For a manufacturer with a deep product catalog, that means a datasheet buried in a PDF becomes as findable as any web page. For a professional services firm, it means the same for the fee schedule or the compliance guide nobody can ever find.
Running Sitefinity? Check out Progress Agentic RAG
The practical question is how you get it on your site specifically. If you're running Sitefinity, there's a first-party path.
Progress Agentic RAG is built by Progress, the makers of Sitefinity, and it's designed to deliver exactly the answer-first experience described above. Progress reports it pays off: averages of roughly twice the session duration and more than three times the active engagement time. That's the kind of lift you'd expect when visitors find answers instead of dead ends.
Getting there is mostly a matter of connecting it. Agentic RAG ships with a native Sitefinity connector, and once it's in place, Sitefinity automatically indexes your selected content and keeps it in sync: pages, media, and metadata flow into the knowledge layer continuously, so answers stay current without anyone manually re-indexing. It also reaches past the CMS into PDFs, documents, and other repositories, unifying them into one place your search can draw from. And the connector now works on both Sitefinity Cloud and self-hosted installations, so semantic search for Sitefinity isn't gated behind a hosting migration.
Sitefinity can take it further still. With a feature called Dynamically Generated Experience, it reads a visitor's intent and assembles a whole page section around it in real time, pulling the right copy, FAQs, and product cards from your content instead of serving every visitor the same static page.
Agentic RAG sits at the higher-investment, enterprise-governed end of the spectrum. It's a platform you grow into, not a light switch you flip. If you're looking for a lighter or lower-cost starting point, we've compared the main AI search options for Sitefinity and looked at how Sitefinity's built-in RAG performs on real content. The right entry point depends on what search actually has to do for your organization.
You don't have to throw keyword search away
None of this means keyword search was wrong. It just means it shouldn't be the whole story. There are queries where exact matching is precisely what you want: product SKUs, part numbers, acronyms, a specific policy name. For many sites, the right answer is hybrid search: semantic search for meaning and recall, keyword matching for precision, working together.
That's also the low-risk way to adopt it. You don't have to rip anything out. Start with one capability, point it at your own content, watch how it performs against your real traffic and your search analytics, and expand from there. It's an upgrade, not a rebuild.
Your content is only as valuable as your visitors' ability to find it, and keyword-only search quietly sets a ceiling on that. Semantic search has moved from a nice-to-have to a necessity for any site that competes on content. If you're curious whether it's worth doing for your site, we'd be glad to look at what your visitors are actually searching for and give you a straight answer.
Find out what your visitors are actually searching for.
We'll look at your on-site search analytics with you, show you where keyword-only search is quietly costing you conversions, and talk through the right entry point for semantic search on your Sitefinity site.
Talk to us about semantic search arrow_forwardKevin Reed is Principal Solutions Architect at Springthrough, where the team has spent 25 years helping mid-market companies turn their technology into an advantage rather than an obstacle.