Three tools powered by one content recommendation technology
Our content discovery tools are designed to increase audience footfall, engagement and spend, directly improving your site metrics and guaranteeing ROI.
Your platform real estate is too valuable for distracting widgets that give low returns. Be sure those interfaces aren't being wasted - signpost your genuinely relevant content using our world-class AI-powered recommendation engine.
The Bibblio team is on hand to assist you with large-scale integrations.
Return on investment - The ratio between the net profit and cost of investment. This value describes the passive revenue uplift of using Bibblio.
Click-through rate - The ratio of users who click a recommendation link to the number of total users who view that page.
Revenue per thousand - The revenue your website generates for every 1,000 pages viewed.
Bibblio's AI engine runs across three tools, each targeting important metrics for content owner teams. Once set up, you can choose one or more of these tools to make your content work harder.
Editorial and product teams
Commercial and e-commerce teams
Audience dev and marketing teams
Bibblio is easy to spin up and runs automatically on your site.
With simple methods to get going, from dropping a code snippet on your site, to using our WordPress plugin or having full control with our API, Bibblio can ingest your content, calculate how it's connected and display recommendations in pre-designed modules or their raw form.
There are no cookies required, so there are no privacy or GDPR concerns to worry about - just one AI product with everything baked in from start to finish.
Bibblio's core product is an AI engine connecting millions of pieces of content based on relevance.
It uses natural language processing to understand each content item, then quickly relates it to the rest, thanks to our super-efficient streaming indexer.
The engine's machine learning is constantly figuring out and improving these connections, at scale, making it the most effective content recommender of its kind.
Use Bibblio's algorithms to show results based on semantically related, most popular or user-influenced weightings. Use discrete or blended algorithms to produce varieties of recommendation results. These can occupy specific areas of your pages to target different audience needs.
Try Bibblio using our transparent monthly subscription plans. You won't be locked into a long contract with unreasonable conditions.
We're fighting the corner with content owners to give them the freedom to make their discovery the best it can be, without monopolizing their interfaces or imposing anti-competitive restrictions.
Let's work together for a better web.
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<script id="bib--rcm-src" src="https://cdn.bibblio.org/rcm/4.7/bib-related-content.min.js" data-auto-ingestion="true" data-recommendation-key="INSERT_YOUR_KEY_HERE"/>
<div class="bib--rcm-init"
data-recommendation-key="INSERT_YOUR_KEY_HERE"
data-style-classes="bib--row-3 bib--hover bib--recency-show">
</div>
WordPress developers can run recommendations across posts in a few clicks. Your posts are indexed automatically, leaving you to just choose a module layout. Too easy.