What conversational search means and why it matters
Conversational search is a search box that understands questions written in natural language — the way a person would ask a question out loud — rather than requiring exact keyword matches. Instead of a visitor typing "pricing plans", they can type "how much does this cost" and get the same result. The search engine parses the meaning of the question, not just the words.
Most websites still use keyword-based search, which works fine for people who already know what they are looking for. Conversational search helps visitors who are exploring, asking questions, or describing a problem without knowing the exact term your site uses. It also reduces the number of empty search results — the moment when someone searches for something your site covers but the words do not match.
You can add conversational search to a website in three main ways: using an AI-powered search service, building it with an open-source library, or integrating a third-party widget. Each approach trades off cost, control, and the amount of setup work required.
Key Takeaways
- Conversational search uses natural language processing to understand questions, not just match keywords, and reduces empty search results when visitors phrase things differently than your content does.
- Third-party services like Algolia, Meilisearch, and Typesense handle indexing and search logic for you, but charge per search or per month depending on traffic volume.
- Open-source libraries like Lunr.js and Fuse.js run entirely in the browser and cost nothing, but work best on smaller sites with fewer than a few thousand pages.
- Building conversational search with a large language model API like OpenAI requires more code and ongoing API costs, but gives you the most control over how questions are answered.
- Start by deciding whether you want to index your own content or use a third-party service, because that choice determines which tools will work for your site.
Third-party search services that understand natural language
Algolia is the most widely used option. It indexes your site's content on Algolia's servers, then returns results through an API your site calls when someone searches. Algolia understands typos, synonyms, and natural language phrasing out of the box. You pay based on the number of searches per month — the free tier covers up to 10,000 searches monthly, and paid plans start around $45 per month for higher volume. Setup involves installing the Algolia crawler (which automatically indexes your pages), then adding a search widget to your site's HTML.
Meilisearch is similar but simpler and cheaper for smaller sites. It also indexes your content and understands natural language, but the free tier is more generous and the paid plans are lower cost. You can run Meilisearch on your own server or use their hosted version. The main trade-off is that Meilisearch has fewer advanced features than Algolia, so it works best if you want straightforward search without heavy customization.
Typesense is another option in this category. It emphasizes speed and typo tolerance, and pricing is similar to Meilisearch. Like Meilisearch, you can self-host or use their cloud version. All three of these services require you to send your content to their servers (or your own server, if you self-host), so they are not a good fit if your content is behind a login or needs to stay private.
Open-source libraries that run in the browser
Lunr.js is a JavaScript library that indexes your site's content and runs the search entirely in the visitor's browser. You do not send any data to external servers. The index is downloaded once when the page loads, then all searching happens locally. This means no monthly fees and no privacy concerns, but it also means the index file gets larger as your site grows — beyond a few thousand pages, the download becomes slow.
To use Lunr.js, you generate an index file from your site's content (usually during your build process), include the Lunr.js library in your HTML, and add a search input. Lunr understands word stemming (so "running" matches "run") and basic natural language, but not as deeply as Algolia or Meilisearch. Setup takes a few hours if you are comfortable with JavaScript, or longer if you are not.
Fuse.js is simpler than Lunr.js and works well for smaller sites. It does fuzzy matching (so "serch" matches "search") and ranks results by relevance. Like Lunr.js, it runs entirely in the browser and costs nothing. The trade-off is that Fuse.js does not understand natural language as well — it is better at forgiving typos than at understanding the meaning of a question.
Building conversational search with an AI model
If you want your search to actually answer questions — not just return matching pages — you can use an API like OpenAI's GPT or Anthropic's Claude. The process works like this: a visitor types a question, your site sends it to the API, the API reads your content and generates an answer, and you display that answer to the visitor.
This approach requires more code than the other options. You need to store your content in a way the API can search (usually a vector database like Pinecone or Weaviate), send the visitor's question to the API along with the relevant content, and handle the API response. You also pay per request — OpenAI charges roughly $0.002 to $0.02 per question depending on how much content the model reads, which adds up quickly on high-traffic sites.
This method is best for sites where you want to provide direct answers rather than just links to pages. A documentation site might use it to answer "how do I reset my password" with an actual answer, rather than returning a link to the password reset page. A support site might use it to answer common questions without a human agent. For a simple content site, the cost and complexity usually are not worth it.
Comparing the approaches side by side
| Approach | Cost | Setup Time | Natural Language Understanding | Best For |
|---|---|---|---|---|
| Algolia | Free tier or $45+/month | 1-2 hours | Excellent | Medium to large sites with moderate traffic |
| Meilisearch | Free tier or $20+/month | 2-4 hours | Very good | Small to medium sites, budget-conscious |
| Lunr.js | Free | 3-6 hours | Good | Small sites under 5,000 pages |
| Fuse.js | Free | 2-4 hours | Fair (typo-tolerant, not semantic) | Very small sites, simple search only |
| AI API (GPT/Claude) | $0.002-$0.02 per question | 8-20 hours | Excellent (generates answers) | High-value pages, support sites, documentation |
How to choose between these options
Start by asking whether your site's content is public or private. If it is behind a login, open-source libraries (Lunr.js, Fuse.js) are your only option, because third-party services require your content to be indexed on their servers. If your content is public, you have all options available.
Next, estimate your monthly search volume. If you expect fewer than 10,000 searches per month, Algolia's free tier or an open-source library will work. If you expect more, a paid plan from Algolia or Meilisearch is usually cheaper than building and maintaining your own solution. If you want to avoid monthly fees entirely, open-source is the way to go — but you will spend more time setting it up and maintaining it.
Finally, decide what kind of search experience you want. If you just need to help visitors find pages, Algolia or Meilisearch are the fastest path. If you want to generate actual answers to questions, you need an AI API. If you want to avoid external services entirely and your site is small, an open-source library is the right choice.
Getting started with Algolia as an example
To show what the setup process looks like, here is how you would add Algolia to a website. First, create an Algolia account and create an index (a searchable collection of your content). Then, use the Algolia crawler to automatically index your site — you give it your site's URL, and it crawls every page and extracts the content.
Once your content is indexed, add the Algolia search widget to your site's HTML. Algolia provides a pre-built widget called InstantSearch that you can drop into your page with a few lines of code. The widget handles the search box, results display, and pagination. You customize the appearance with CSS. The whole process takes about an hour for a straightforward site.
For more control, you can build your own search interface using Algolia's JavaScript library instead of the pre-built widget. This takes longer but lets you design the search experience exactly as you want it. Either way, once the widget is live, visitors can search your site with natural language and get results ranked by relevance.
Frequently Asked Questions
Does conversational search work on sites with thousands of pages?
Yes, but the approach matters. Third-party services like Algolia and Meilisearch handle large sites well — they are designed for sites with hundreds of thousands of pages. Open-source libraries like Lunr.js struggle because the index file becomes too large to download quickly. For a large site, a third-party service is the practical choice.
Can I add conversational search to a static site?
Yes. Static sites work well with Algolia, Meilisearch, or open-source libraries. You do not need a backend server. For Algolia or Meilisearch, you just add a search widget to your HTML. For Lunr.js or Fuse.js, you generate the index during your build process and include it with your site files.
What if I want search results to show up as the visitor types?
All of these options support instant search — results appear as the visitor types each letter. Algolia and Meilisearch do this by default. With Lunr.js or Fuse.js, you add a JavaScript event listener to the search input that triggers a new search on every keystroke. The performance is usually fine for sites under a few thousand pages.
Do I need to update the search index when I add new content?
With Algolia and Meilisearch, the crawler automatically re-indexes your site on a schedule (usually daily or weekly). You can also trigger a manual re-index whenever you publish new content. With Lunr.js and Fuse.js, you need to regenerate the index during your build process, so new content appears only when you rebuild and redeploy your site.
Can conversational search understand my site's specific terminology?
Yes, but the method depends on which tool you use. Algolia and Meilisearch let you define synonyms — so "login" and "sign in" return the same results. With an AI API like GPT, you can include a custom instruction that explains your terminology. Open-source libraries do not have built-in synonym support, but you can add it with extra code.