Qualify the traffic
Examine device, network and behavioural signals behind advertising activity.
Identify placements that generate artificial clicks and inventory built primarily for advertising. Ads Defender combines traffic qualification, visual page assessment and platform data to help you understand the sources consuming your display budget and apply placement exclusions where supported.
Examine device, network and behavioural signals behind advertising activity.
Use AI Vision to evaluate the visible relationship between content and advertising.
Connect findings to exclusions in supported Google and Microsoft campaigns.
Display campaigns can distribute budget across many advertising environments. A placement report shows where activity occurred, but click volume alone does not explain how that activity was generated or what kind of page attracted it. Ads Defender brings those questions into the assessment.
Some placements use automated mechanisms to provoke ad interactions. The resulting clicks can consume budget and inflate apparent engagement without representing customer demand. Traffic qualification examines device, network and behavioural signals to identify suspicious activity and connect it with the sources behind it.
MFA inventory is built primarily to monetise advertising. Dense ad layouts, limited substantive content and interrupted reading experiences are characteristic concerns. AI Vision adds a qualitative view of these environments, helping identify inventory whose structure serves ad exposure rather than the audience your campaign is trying to reach.
A technical view of a placement and a visual view answer complementary questions. Traffic analysis examines the activity arriving from a source. AI Vision evaluates how the page presents its content and advertising. Platform and inventory data provide the campaign context around both.
This makes qualitative placement assessment an additional layer of analysis. It connects what happens in your traffic with the environment generating it, so campaign decisions can reflect more than a domain name, a click count or a cost metric.
Device, network and behavioural signals
Content prominence, ad density and layout
Placement and campaign data
Connect the traffic pattern to the environment generating it.
Assess the space and attention given to useful content. A coherent article or purposeful page experience provides a different context from small fragments of text surrounded by advertising.
Evaluate how strongly advertising surfaces dominate the page and compete for attention. Their visible relationship to the content helps characterise an ad-driven environment.
Examine whether the layout supports a continuous reading experience or repeatedly interrupts it. AI Vision considers this visible presentation alongside the other placement inputs.
Artificial interactions affect more than the spend attached to those clicks. They can make a source appear active and distort the signals used to compare placements. Where engagement informs optimisation, that distortion can also influence subsequent investment.
Placement findings add context to campaign performance. They help teams investigate which sources are generating suspicious activity, where inventory is oriented around ad monetisation and which sources warrant exclusion. The aim is to reduce recurring exposure to the identified problem, freeing budget for more relevant opportunities.
Ads Defender connects placement assessment to the exclusion controls available in Google Ads and Microsoft Advertising. Once a problematic placement is identified, those controls can prevent further delivery on that inventory in supported campaigns.
The action is applied at the advertising source. This turns placement intelligence into a practical campaign control, rather than leaving it as a finding in a report. Availability and activation depend on the platform, the campaign type and the time the platform takes to process the exclusion.
Media verification covers a broad set of capabilities, from invalid-traffic measurement to brand suitability and inventory assessment. DoubleVerify, IAS and Pixalate offer products across different buying stages and platform integrations.
Ads Defender’s focus on this page is the connection between traffic qualification, qualitative placement assessment and campaign controls. AI Vision contributes visible page context; the platform integration gives the resulting placement decision an operational use in your advertising.
Get an initial estimate of fraud exposure and potential budget recovery, based on your industry, advertising spend and our own data.