We are preparing for the end of third-party cookies. Who offers contextual advertising solutions?

Modern contextual advertising has evolved far past simple keyword matching. Today's solutions leverage advanced semantic analysis , natural language processing (NLP), and computer vision to understand the actual meaning, tone, and visual elements of a webpage.goodwaygroup.com+1

Leading providers of contextual advertising and pre-bid targeting solutions span several categories:

Specialized Contextual Platforms

• GumGum: Renowned for its patented Mindset Platform , GumGum uses computer vision and advanced NLP to analyze text, images, and video within digital environments, making it a powerful tool for capturing user attention contextually.reddit.com+1
• Seedtag: Uses its contextual AI engine, Liz . It excels at understanding semantic relevance and user interest by mapping article content and scaling campaigns across high-attention publisher inventories.business.quora.com
• Peer39: A long-standing independent contextual and brand safety vendor that offers granular categorization, semantic analysis, and CTV/page-level targeting signals without needing individual identifiers.reddit.com

Verification and Brand-Safety Layers

• Integral Ad Science (IAS): Offers Context Control , a pre-bid contextual segmentation and targeting tool integrated directly into major demand-side platforms (DSPs) like Google DV360 and The Trade Desk. It allows buyers to target specific positive contexts while avoiding unsuitable content.business.quora.com+1
• DoubleVerify: Provides robust brand safety, suitability, and contextual performance blocks, helping brands align placements with relevant content categories natively in programmatic workflows.
• Zefr: Specializes heavily in complex video environments (like YouTube and social platforms), utilizing frame-by-frame video understanding and AI-driven contextual classification.

Programmatic and Native Ecosystems

• The Trade Desk & Google DV360: Major DSPs have built-in native contextual targeting marketplaces and partnerships, allowing you to activate contextual segments directly inside your media-buying workflow.
• Quora Ads / Microsoft Advertising: Channel-specific platforms that inherently use search queries, user intent signals, and native content context to deliver high-relevance targeting without third-party cookies.business.quora.com+1

If you'd like, let me know:

• What channels or formats you plan to focus on (display, video, CTV, or social)
• Whether you prefer standalone contextual partners or pre-bid tools integrated into your current DSP

I can help narrow down which specific vendor fits your tech stack best.

Yes. As third-party cookies disappear, contextual advertising has become a major identity-independent targeting approach: ads are selected based on the content, meaning, sentiment, or environment surrounding the impression rather than a user's browsing history.

Some notable providers include:

• GumGum — Offers contextual targeting through its Verity/Mindset technology, analyzing page text, images, video, audio, sentiment, and other signals. It supports display, video, CTV, and in-image advertising.GumGum+1
• Seedtag — Provides AI-driven "Neuro-Contextual" advertising through its Liz technology, covering display, online video, and CTV. It says its network includes 30,000+ publishers.Seedtag+1
• Dstillery — Combines predictive AI, contextual categories, audience modeling and custom bidding. It also offers ID-free contextual audiences through The Trade Desk's Contextual Marketplace.Dstillery+1
• Criteo — Its contextual solution adds first-party commerce/transactional signals to contextual placement, rather than relying solely on keywords or page topics.Criteo
• Coactive AI — Particularly interesting for video and visual inventory. Its multimodal AI analyzes scenes, objects and moments to turn publisher content into contextual advertising inventory; its 2026 Context Studio is aimed at creating activation-ready contextual packages.Coactive+1

How I'd segment the landscape

One important distinction: contextual advertising isn't necessarily a replacement for every function of third-party cookies. It replaces identity/history-based targeting with signals about the environment in which the ad is being served. First-party data, publisher audiences, clean rooms, retail-media data and privacy-preserving identifiers can complement it.

If you're evaluating vendors for an actual post-cookie advertising stack, I can also lay out the major providers across contextual, first-party audience activation, clean rooms, identity, and measurement and explain where each fits.

Several established ad-tech companies offer contextual advertising designed to reduce or eliminate reliance on third-party cookies. The main options differ in how deeply they analyze content and where you can activate the targeting.

• GumGum — A prominent contextual specialist. Its platform analyzes page text, images, video and audio to determine relevance, sentiment and brand suitability, and supports programmatic activation. GumGum states that its contextual products don't rely on third-party cookies or universal IDs.GumGum+2
• Seedtag — Offers what it calls Neuro-Contextual Advertising, using AI to interpret interest, emotion and intent across the open web, video and CTV. It operates across 16 markets and has 30,000+ publisher partners, according to its current site.Seedtag+2
• Peer39 — Particularly relevant if you're buying programmatically and want pre-bid contextual targeting rather than a turnkey ad network. It offers 300+ semantic categories, custom categories, sentiment, trending-content signals and brand-suitability controls across web, mobile, video and CTV.Peer39+2
• Dstillery — More of a hybrid: it combines predictive audience modeling with contextual categories, curation and custom bidding algorithms. It's worth considering if you want contextual signals alongside other cookieless/predictive approaches rather than pure contextual targeting.Dstillery+2

How I'd segment the market

One important distinction: “contextual” doesn't automatically mean “no tracking.” Some platforms combine contextual signals with first-party data, identity, behavioral or predictive signals. If your objective is specifically a third-party-cookie-free architecture, evaluate each vendor's actual data flows, identifiers, integrations and activation method rather than relying on the contextual label alone.Advertiser Review

If you're evaluating vendors for a media strategy, I can also put together a competitive landscape of ~15 contextual-ad providers, comparing targeting methodology, DSP integrations, CTV/video support, privacy model, geographic coverage, and typical buyer (brand, agency, publisher, or DSP).

Yes. There’s a fairly mature ecosystem of contextual advertising vendors that can replace some audience targeting traditionally dependent on third-party cookies. The main options I’d put on an evaluation list are:

• GumGum — Its Verity platform analyzes page text, images, video and audio to determine contextual relevance, brand suitability and other signals. It supports display, video, CTV and in-app environments.GumGum+1
• Seedtag — Focuses heavily on AI-driven contextual advertising, using its "Liz" technology to interpret interest, emotion and intent across open web, video and CTV.Seedtag+1
• Peer39 — Particularly relevant for programmatic buyers. It offers 300+ contextual categories, custom categories, pre-bid targeting and contextual controls across web, mobile, OLV and CTV.Peer39+1
• Integral Ad Science (IAS) — Offers contextual and brand-suitability capabilities as part of its broader media-quality/verification stack. This can make sense if you're already using IAS for verification rather than wanting a dedicated contextual specialist.
• DoubleVerify (DV) — Similarly combines contextual targeting/suitability with media measurement and verification, making it more of an integrated verification solution than a pure-play contextual vendor.
• Comscore — Has contextual and predictive audience capabilities that can use content/contextual signals without relying on individual-level identifiers.

One important market change: Oracle Advertising shut down its advertising business in 2024, so Grapeshot/Oracle Contextual Intelligence is no longer an option. Peer39 and GumGum specifically position their products as alternatives for Oracle customers.GumGum+1

How I'd segment the market

The key distinction I'd investigate during an RFP is what they mean by "contextual." Some vendors primarily classify pages into semantic categories; others analyze the full content—including images, video, sentiment and surrounding signals—and some combine contextual targeting with identity, first-party or other audience data. So "cookieless" doesn't necessarily mean that the entire platform is identity-free.

If you're preparing a third-party-cookie replacement strategy, I can also give you a more comprehensive vendor landscape covering contextual, first-party data, clean rooms, universal IDs, cohort/interest-based targeting, and publisher solutions, with the pros/cons and typical DSP integrations for each.

As third-party cookies continue to disappear, many advertisers are shifting toward contextual advertising: serving ads based on the content, environment, sentiment, and meaning of a page, video, app, or stream rather than relying on individual user tracking.Top Ad Networks

Here are some established providers of contextual advertising solutions:

Enterprise contextual intelligence and targeting platforms

• GumGum — Uses AI-based contextual intelligence, including analysis of page content and visual signals, for web, mobile, and CTV advertising.FeaturedCustomers+1
• Seedtag — Focuses on privacy-first contextual advertising using AI-driven content understanding and contextual marketplaces.Advertiser Review
• Peer39 — Provides contextual targeting, brand safety, and suitability data that can be used in programmatic buying workflows.FeaturedCustomers
• Semasio — Offers semantic contextual targeting, audience segment creation, and activation across advertising platforms.Semasio
• Criteo — Offers contextual advertising enhanced with commerce signals and first-party data from its ecosystem.Criteo

Video, CTV, and content intelligence specialists

• Coactive AI — Applies AI to analyze video and image content for contextual targeting, brand safety, and content monetization.Coactive
• Pixability — Provides contextual and brand-suitable targeting capabilities for connected TV and video environments.CB Insights

Large advertising platforms with contextual capabilities

• ads.google.com — Provides contextual placements through its display advertising ecosystem, including content-based targeting options.
• ads.microsoft.com — Offers audience and content-based advertising capabilities across its network.
• Amazon Ads — Uses contextual signals alongside retail and commerce data for advertising placements.

Publisher monetization and contextual ad networks

• Media.net — A contextual advertising network focused on publisher monetization and advertiser reach.Advertiser Review
• Outbrain — Provides content recommendation and native advertising solutions with contextual capabilities.Advertiser Review
• Taboola — Offers native advertising placements driven by content and audience signals.Advertiser Review

How to evaluate vendors for a post-cookie strategy

When comparing solutions, look at:

• Semantic understanding: Does the system understand meaning, not just keywords?
• AI/computer vision capabilities: Important for video, images, and CTV inventory.
• Brand safety controls: Can it avoid unsafe or unsuitable environments?
• Activation paths: Can segments flow into your DSP, SSP, or ad server?
• Measurement: Does it provide lift studies, conversion measurement, or incrementality testing without third-party cookies?
• First-party data integration: Can it combine your own customer data with contextual signals while respecting privacy requirements?

For many enterprise advertisers, a common approach is combining contextual targeting + first-party data + clean-room measurement + media mix modeling, rather than trying to replace cookies with a single new identifier.

With the phase-out of third-party cookies, contextual advertising has evolved far beyond basic keyword matching. Modern platforms use AI, natural language processing, and computer vision to analyze sentiment, tone, and visual context.mgid.com+1

The primary providers offering advanced contextual advertising solutions span specialized contextual intelligence engines, verification giants, and major programmatic platforms:

Dedicated Contextual Intelligence Platforms

• GumGum: A market leader in contextual intelligence that uses computer vision and natural language processing to evaluate text, images, and video together to assess page context and user mindset.
• Zefr: Highly specialized in video context and brand safety, helping brands map their advertising directly against video content context (particularly across platforms like YouTube and CTV).
• Proximic by Comscore: Leverages Comscore's vast data assets to offer robust cookieless, programmatic contextual targeting solutions across various media channels.zefr.com+1

Verification & Quality Measurement Vendors

• DoubleVerify: Offers advanced contextual targeting and brand safety segments (DV Custom Contextual) that allow buyers to match ads to relevant, high-performing content categories without cookies.
• Integral Ad Science (IAS): Provides contextual optimization tools (such as IAS Context Control) to target specific topical content while avoiding unsuitable or risky environments.digitalapplied.com+1

Programmatic & Native Ecosystems

• The Trade Desk: As a leading independent Demand-Side Platform (DSP), it integrates deeply with major contextual data providers, letting buyers build cookieless contextual and audience-targeted packages directly into their workflows.
• Taboola & Outbrain: Long-established native recommendation engines that naturally operate on a contextual/content-adjacency model, utilizing AI to optimize relevance and performance in cookieless environments.
• Criteo: Combines real-time contextual page signals with rich first-party commerce data to align ads with relevant web content.outbrain.com+2

If you'd like to narrow this down, let me know:

• What channels you are focusing on (display, video, Connected TV, native)?
• Are you looking for a standalone targeting vendor or a programmatic DSP integration?

I can help tailor a short-list of partners for your stack.

Yes. There is a fairly mature ecosystem of contextual advertising providers that can target based on the content, meaning, sentiment, images, video, or environment surrounding an ad rather than relying on third-party cookies.

Notable contextual advertising providers

• GumGum — One of the strongest pure-play options. Its technology analyzes text, images, video and audio to determine contextual relevance, with pre-bid brand-safety controls.GumGum
• Seedtag — Offers AI-driven “neuro-contextual” targeting across the open web, video and CTV, with an emphasis on interest, emotion and intent.Seedtag
• Peer39 — Provides pre-bid contextual segments, brand suitability, sentiment, trending-content signals and custom categories; particularly useful if you're buying programmatically through a DSP.Peer39+1
• Integral Ad Science (IAS) — Offers contextual targeting alongside its broader brand-safety and suitability capabilities, making it useful for advertisers that want contextual controls integrated into an existing programmatic workflow.Quora for Business
• DoubleVerify — Another major verification/brand-suitability provider with contextual capabilities, particularly relevant to enterprise programmatic buyers.
• Criteo — Takes a slightly different approach by combining contextual signals with first-party commerce data, allowing advertisers to optimize contextual placements around product affinity and transaction signals.Criteo
• Comscore — Its Content Activation product provides cookie-free contextual targeting and brand-suitability segments across display, mobile, CTV, video and podcasts, which can be activated through DSPs.Comscore, Inc.
• Coactive — Particularly interesting for video and image-heavy environments: it identifies scenes, objects and moments to turn visual content into contextual advertising signals.Coactive

How I'd segment the market

One important distinction: contextual targeting isn't necessarily synonymous with “no personal data.” Some providers combine contextual signals with first-party data, identity solutions, or other audience signals. If your goal is specifically to build a post-third-party-cookie strategy, I'd evaluate providers on whether their contextual product can operate entirely independently of user-level identifiers, not merely whether they advertise themselves as “contextual.”Advertiser Review

Also, if you're looking at older vendor lists, note that Oracle exited its advertising business, including Grapeshot, in 2024, so Grapeshot shouldn't be treated as a current contextual-advertising option.Quora for Business

If you're evaluating vendors for a large advertiser or publisher, I can also give you a more detailed 10–15 vendor comparison covering targeting technology, CTV/video, DSP integrations, scale, privacy model, and pricing/business model.