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Search Our Blog with AI — Queryra in Action
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Search Our Blog with AI — Queryra in Action

Our own blog uses Queryra to power its search. Try searching for 'how to make search better' and see how AI finds the right articles by meaning, not keywords.

RG
Rafal Gron
Founder, Queryra
February 18, 2026·4 min read

We built a search engine that understands meaning. So we figured we should use it ourselves.

The search bar on queryra.com/blog is powered by the Queryra REST API. Every article you see on this blog is indexed with the same AI that powers our WooCommerce plugin and playground demos.

The result: you can search our blog the same way your customers would search your store — by describing what you're looking for, not by guessing the right keywords.

Try These Searches

Go to queryra.com/blog and use the search bar:

By problem:
- "my store search is broken" → finds articles about fixing WooCommerce search
- "customers can't find products" → finds articles about zero results and search UX
- "search is too expensive" → finds the article about OpenAI API costs

By topic:
- "how does AI search work" → finds the semantic search explainer and technical articles
- "compare different search options" → finds the comparison and keyword vs semantic articles
- "setting up the plugin" → finds the setup tutorial and search settings guide

By question:
- "what should I use instead of default search" → finds plugin comparison and fixing guides
- "how to get recommended by ChatGPT" → finds the AEO article
- "is there a free option" → finds pricing-related content

Each of these returns relevant articles even though the search terms don't match article titles word-for-word.

Why We Use Our Own Product

There's a principle in software called "eating your own dog food" — using the product you build. We take this seriously.

Every demo we offer runs on the same technology we sell:

If the search works well here, it'll work well on your site. If we find bugs or rough edges, we fix them for everyone. Our blog is both a resource and a live test of our product.

How Blog Search Works (REST API)

The blog search is a straightforward REST API integration:

  1. Indexing: When we publish or update a blog article, its title, description, and section content are sent to the Queryra API. The AI generates vector embeddings for each article.
  1. Search: When you type in the search bar, the frontend calls the Queryra search endpoint with your query. Results come back ranked by semantic relevance.
  1. Display: The blog filters visible articles to show only matching results, sorted by relevance score.

No WordPress plugin involved — this is a Next.js site talking directly to the REST API. The same approach works for any blog, documentation site, or content platform.

Add AI Search to Your Blog or Content Site

If you run a blog, documentation site, knowledge base, or any content-heavy website, the same search works for you.

For WordPress blogs: Install the Queryra plugin from WordPress.org. It indexes your posts automatically and replaces the default search with semantic matching. 5-minute setup.

For any other platform: Use the REST API. Index your articles (title + content), add a search bar, display results. Works with any frontend — React, Vue, Next.js, static HTML, or anything that makes HTTP requests.

Free tier includes 100 records. For a blog with 50-100 articles, that's completely free. Start at queryra.com/signup.

The difference between keyword blog search and semantic blog search is the same as in e-commerce: customers find what they need by describing it, not by guessing your exact words.

Ready to fix your WooCommerce search?

Try AI search on real content

Frequently Asked Questions

Does the Queryra blog really use its own search product?

Yes. The search bar at queryra.com/blog is powered by the Queryra REST API. Every blog article is indexed with the same AI that powers the WooCommerce plugin and playground demos.

Can I add AI search to my WordPress blog?

Yes. Install the Queryra plugin from WordPress.org — it automatically indexes your blog posts and replaces the default search with AI semantic matching. 5-minute setup, no coding needed.

How is blog search different from e-commerce search?

The technology is identical — both use vector embeddings to match meaning. The difference is content type: e-commerce search indexes products (title + description), blog search indexes articles (title + content). The AI handles both the same way.

Is blog search included in the free tier?

Yes. The free tier includes 100 records — enough for most blogs. Each blog article counts as one record. No credit card required to start.

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