How to block adblock on your website the right way

When publishers talk about blocking adblock on their website, they usually mean one of two things. The first is technical blocking: attempting to prevent the ad blocker from stripping ad creatives in the first place. The second, and more practical, meaning is detection-and-response: identifying that a visitor is running a blocker and then presenting them with a message, gate, or alternative that nudges them toward allowing ads. The two approaches have very different maintenance profiles and user-experience implications.

Pure technical blocking, sometimes called ad reinsertion, tries to serve ads through paths that filter lists have not yet catalogued. It can work temporarily, but EasyList and uBlock Origin's filter sets are community-maintained and update frequently. Any domain, URL pattern, or script fingerprint that consistently delivers ads will be reported and filtered, often within days. Publishers who rely solely on reinsertion typically find themselves in a continuous maintenance cycle with diminishing returns.

Detection-and-response is more durable because it does not try to trick the blocker. Instead it acknowledges the blocker's presence and starts a conversation with the visitor. This is the approach that holds up over time, scales across different blocker types, and is compatible with advertising industry guidelines. The rest of this guide focuses on how to implement detection-and-response correctly.

The classic detection trick was to load a bait element, a div or script with a class name that matched filter list patterns, and then check whether it had been hidden or removed. This still catches many blockers, but it fails against newer Manifest V3 extensions and against users who run custom filter lists that target bait elements specifically. A single detection vector is not enough for reliable coverage in 2026.

Modern detection engines combine multiple signals. Typical vectors include bait element visibility checks, bait network request success tests, timing anomalies in resource loading, and observations of the browser environment for signatures left by extension injection scripts. Manifest V3 blockers like uBlock Origin Lite use declarativeNetRequest, which means they do not inject code into the page and leave fewer runtime signals, so network-level bait tests become more important relative to DOM-inspection methods.

AntiAdBlock Core uses a multi-signal ensemble detection engine that achieves approximately 99.7% detection precision across the current blocker landscape. Using a purpose-built detection service rather than writing your own means your detection layer is maintained by specialists who track new blocker releases and update heuristics continuously, so you do not have to.

Once detection fires, you need to respond. The response is almost always an overlay or modal that explains the situation and asks the visitor to act. The overlay should appear above the page content and prevent interaction with it until the visitor makes a choice. This does not need to be hostile: the goal is to create a deliberate moment where the visitor decides whether to engage with your site on terms that sustain it.

The copy matters enormously. Explain why your site relies on advertising revenue and what the visitor gains by allowing ads. Avoid accusatory language such as phrases that imply the visitor is stealing. Instead, use framing that positions the ask as a mutual benefit: your content stays free for everyone when visitors support it through advertising. Offering more than one exit, whitelist the site, disable the blocker for this domain, or subscribe for an ad-free experience, consistently outperforms a single binary demand.

Do not try to detect whether the visitor has taken action by immediately re-checking for the blocker after they click a compliance button. Give them a realistic amount of time to make the change, then prompt them to reload. Checking too aggressively can catch false negatives where the blocker deactivated but the page has not yet re-fetched ad resources, which frustrates compliant visitors and hurts your recovery rate.

Installing a detection script typically involves adding a single tag to your site's head element, either directly in your HTML template or through a tag manager. The script should load early in the page lifecycle, before the main content becomes interactive, so the overlay can appear before the visitor begins reading rather than interrupting them mid-article. AntiAdBlock Core installs with one line of code and initialises the detection engine automatically on page load.

The detection script communicates asynchronously with a detection service that applies the ensemble checks. When a positive detection is confirmed, the service signals the client script to render the overlay using your configured template. The overlay configuration, copy, logo, button labels, colour scheme, is managed separately from the detection logic, so your design team can iterate on the overlay without touching the detection code.

You should also connect detection events to your analytics. Knowing your blocked-session rate by traffic source, device type, and content category helps you understand your audience and make smarter monetisation decisions. Most detection scripts fire a custom event or callback that you can route to Google Analytics, your data warehouse, or a first-party dashboard. Treating detection data as a first-class metric from the start makes optimisation much easier later.

The most common mistake is deploying a hard paywall that blocks all content for all adblock users regardless of context. Visitors who hit an absolute gate with no alternative route tend to bounce immediately, and some will write about the experience publicly. If your content is not strong enough to motivate a visitor to change their blocker settings, a hard gate just confirms for them that your site is not worth returning to.

Avoid fingerprinting techniques that attempt to identify individual visitors across sessions. Detection should operate at the session level, observing a technical signal about whether a browser extension is active, not building a dossier on specific users. GDPR and similar privacy regulations are clear that techniques designed to identify individuals without consent carry legal risk, and they damage user trust far beyond any revenue gain.

Finally, do not neglect to test your implementation across the major blockers. uBlock Origin in standard mode, uBlock Origin Lite, AdBlock Plus with and without the Acceptable Ads list, and Brave's built-in shield all behave differently. Running your detection stack against each of these in a test environment before you launch, and again after major browser updates, is the only way to know your coverage is actually as complete as you need it to be.

Once detection is solid, the next question is what to do with it, the adblock recovery playbook covers the recovery funnel from the initial overlay through whitelist conversion to long-term subscriber value. For a view of which detection scripts hold up across all major browsers in 2026, the adblock killer script comparison covers the options publishers actually use.

On WordPress the practical steps differ enough to be worth their own walkthrough: see anti-adblock for WordPress.