Data as of Oct 13, 2026Based on 319 AI responses
Reviewed by Dimitry Apollonsky
AI summary
6sense and Demandbase are neck and neck, with both platforms recommended for corporate IP targeting and account intent tracking. Demandbase is the usual answer when buyers specifically need dynamic website personalization by industry.
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | B2B account targeting using predictive intent and Slack sales alerts | B2B account targeting using predictive intent and Slack sales alerts | 39% |
| 2 | account-based website personalization and high-match corporate IP targeting | account-based website personalization and high-match corporate IP targeting | 38% |
| 3 | deterministic identity resolution linking web activity to email addresses | deterministic identity resolution linking web activity to email addresses | 20% |
| 4 | global B2B intent data and publisher content consumption signals | global B2B intent data and publisher content consumption signals | 18% |
| 5 | omnichannel programmatic targeting powered by extensive third-party data partnerships | omnichannel programmatic targeting powered by extensive third-party data partnerships | 13% |
| 5 | accessible mid-market account targeting and website engagement spike alerts | accessible mid-market account targeting and website engagement spike alerts | 13% |
| 5 | cookieless contextual intelligence analyzing page text, images, and video | cookieless contextual intelligence analyzing page text, images, and video | 13% |
| 8 | pre-bid contextual categories and brand safety across display and CTV | pre-bid contextual categories and brand safety across display and CTV | 12% |
| 8 | first-party customer list matching to reach qualified search audiences | first-party customer list matching to reach qualified search audiences | 12% |
| 10 | contextual advertising matching placements to webpage sentiment and visuals | contextual advertising matching placements to webpage sentiment and visuals | 11% |
| 11 | 10% | ||
| 12 | 9% | ||
| 12 | 9% | ||
| 14 | 8% | ||
| 14 | 8% |
What’s changing · since July
Since July, GumGumrising has become the go-to recommendation for cookieless contextual advertising, while Seedtagrising has joined the most cited options for that use case. Bomborafalling is no longer named for transparent identity resolution, and LiveRampfalling receives fewer mentions for data clean rooms.
Week of Sep 21–27
Widest split: 6sense, 43% on ChatGPT Search and 35% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 6sense | 43% | 35% | |
| Demandbase | 40% | 36% | |
| LiveRamp | 19% | 22% | |
| Bombora | 18% | 17% |
48% of citations point at the ranked brands’ own sites.
Market map
Mentioned in · since Jul 5
Leading brands by topic
Google AI ModeOct 10, 2026
Demandbase and 6sense lead the market with the highest effective match rates and resolution accuracy for corporate IP targeting in B2B programmatic advertising.
Because corporate networks, remote workforces, and dynamic cloud hosting make raw IP matching difficult, ABM-native (Account-Based Marketing) platforms perform better than generic demand-side platforms (DSPs) by layering proprietary graph data over IP addresses.
| Platform | Core IP/Identity Strength | Best Use Case |
|---|---|---|
ChatGPT SearchOct 10, 2026
ChatGPT SearchOct 1, 2026
I'm looking for software that enables account-based targeting via corporate IP address identification. What are my options?
ChatGPT SearchSep 25, 2026
ChatGPT SearchOct 12, 2026
How can I improve my ad targeting to reach a more qualified audience?
We target global accounts. Which intent data provider has the strongest coverage of B2B buying signals outside of North America?
What solution offers the most transparent "identity graph" so we can understand how it links anonymous web traffic to known email addresses?
I need to create a secure "data clean room" to collaborate with partners. What's the best data clean room solution?
| Classifies billions of corporate IPs; pairs IP resolution with deterministic first-party data and firmographics. |
| Enterprise account-based advertising and full-funnel B2B display/video orchestration. |
| 6sense | Utilizes a patented "Company Graph" combining IP tracking with anonymous web-visit AI and keyword intent. | Identifying hidden buying teams and anonymous account-level intent before competitors do. |
| El Toro | Uses patented physical-address-to-IP matching technology for deterministic 1:1 business network targeting. | Mapping exact corporate office physical locations to static office IP ranges. |
| The Trade Desk | Massive open-web inventory scale utilizing third-party B2B data graph providers (like LiveRamp or Bombora). | Large-scale custom programmatic execution when you bring your own target account IP/list segments. |
If you'd like to narrow this down, let me know:
I can help you choose between an all-in-one ABM platform or an open-web DSP approach.
For targeting specific companies with personalized programmatic ads, I’d put Demandbase at the top of the shortlist for enterprise-scale account targeting, with AdRoll ABM as a strong alternative if your primary goal is advertising reach and dynamic ad personalization.
One important distinction: the platform with the highest corporate IP match rate is not necessarily the one that delivers the most impressions to employees at your target companies. Public information does not establish a reliable, independently verified winner on IP match rate alone.
1. Demandbase — Best starting point for enterprise ABM
Uses company-domain mapping and machine learning to associate online users with target accounts. Its advertising platform processes approximately 20 billion domain signals daily, according to its documentation.
Best for large target-account lists, complex corporate structures, and account-level campaign measurement.
Official details:
2. AdRoll ABM — Best for dynamic company-specific ad creative
Supports company-level personalization, such as inserting a target company's name into display ads. Its matching inputs include proprietary IP data, reverse-IP lookup through KickFire, and data partnerships.
Best when the creative itself needs to change based on the company being reached.
Official details:
3. 6sense — Best for intent-driven targeting
Worth evaluating if you want to prioritize companies showing buying intent and coordinate advertising with sales outreach, rather than optimize solely for corporate IP matching.
Official details:
4. LinkedIn Matched Audiences — Best for reaching verified professional audiences
Upload company names or domains to target organizations on LinkedIn, or use matched contact lists. This is a useful alternative when professional identity matters more than reaching people across the open web.
Official details:
Ask each vendor to run the same test against your actual target-account list. Compare these metrics separately:
| Metric | What to measure |
|---|---|
| Account match rate | Percentage of target companies successfully resolved |
| IP-to-company accuracy | Percentage of resolved IPs correctly attributed to the intended company |
| Reachable account rate | Percentage of target companies with enough identifiable users and ad inventory to serve impressions |
| Effective reach | Number of distinct target companies and employees actually reached |
| Match freshness | How quickly IP and company associations are refreshed |
Corporate VPNs, remote employees, shared networks, and subsidiaries can all complicate IP-based attribution. A vendor may match many IP addresses without reliably reaching the specific people you want.
My recommendation: Start with Demandbase and AdRoll ABM, and make the final choice contingent on a head-to-head test. Do not accept a headline match-rate claim without the denominator, measurement method, and independent validation.
One question that would help narrow this down: Are you targeting companies across the open web (display/programmatic ads), or are you primarily trying to reach employees of named companies on LinkedIn? The best platform can differ substantially between those two use cases.
Yes. If by “target businesses using their corporate IP address ranges” you mean identify traffic coming from an organization's known IP space and serve ads to people associated with that company, there are B2B/ABM platforms that support this, although the implementation varies.
| Platform | Corporate-IP-based targeting | How it works |
|---|---|---|
| Demandbase | Yes / core capability | Its identity system uses IP and other signals to identify companies; its B2B DSP can then deliver programmatic advertising to account audiences. |
| LinkedIn Ads | Indirectly / automatically | LinkedIn says it can derive a member's company from their public IP when company information isn't available, using an IP-to-company model. You can then use Company/Account Targeting, but you don't upload arbitrary corporate CIDR ranges directly. |
| Terminus | Account-based, with IP/identity signals | Terminus supports account-based advertising and can sync target-account audiences into LinkedIn; its approach is more account/identity based than “enter these IP ranges into an ad campaign.” |
| 6sense | Account/IP identification | 6sense is another ABM platform built around identifying anonymous company traffic and activating account audiences across advertising channels. |
| RollWorks | Account-based advertising | Targets named accounts using its B2B identity/account data rather than requiring you to manually provide IP ranges. |
If you specifically want:
“I have
203.0.113.0/24belonging to Company X; show my ads to users whose current public IP falls within that CIDR.”
that's a much narrower requirement than ordinary B2B “company targeting.”
For example, LinkedIn's documentation explicitly describes using public IP to infer the member's company, but its advertiser-facing targeting interface is based on companies, professional attributes, and matched audiences—not a field where you paste corporate CIDRs.
Demandbase is the closest fit to the underlying mechanism you're describing. Its current documentation says its account-identification system uses IP addresses among its identification signals, while its advertising product is a B2B DSP designed to reach target accounts across the web.
One caveat: corporate IP targeting is inherently imperfect. VPNs, cloud/SaaS traffic, remote workers, mobile networks, NAT, shared infrastructure, and subsidiaries can make an IP-to-company mapping probabilistic rather than deterministic. Demandbase itself describes its identification as probabilistic and notes difficulties when parent and subsidiary companies share IT infrastructure.
If you tell me whether you need (a) exact CIDR/IP-range upload, (b) targeting a list of named companies, or (c) identifying a company from IP and then retargeting it, I can narrow this to the platforms that actually support that workflow and compare pricing, minimum spend, and geographic coverage.
Google AI ModeOct 1, 2026
Targeting businesses by their corporate IP address ranges (often referred to as B2B IP targeting, account-level IP matching, or reverse-IP lookup targeting) is handled primarily through Account-Based Marketing (ABM) platforms and B2B programmatic Demand-Side Platforms (DSPs).
Mainstream consumer/social ad networks (like Meta or Google Ads) do not natively let you upload a raw list of corporate IP netblocks/ranges to target. Instead, they rely on logged-in user data, cookies, or general geographic location.
The top platforms that specialize in or support corporate IP and account-level network targeting include:
The solution that most directly matches this use case is Demandbase. Its website personalization capabilities use account/firmographic data such as industry to dynamically tailor website content—including case studies, messaging, images, and offers—for different visitors.
For example:
Other platforms can support similar ABM personalization, including Personyze and Markettailor, but Demandbase is the clearest match to the wording of your question.
Google AI ModeSep 25, 2026
Several top-tier Account-Based Marketing (ABM) and Account-Based Experience (ABX) platforms specialize in dynamic website personalization based on firmographic attributes like industry.
Leading solutions capable of identifying an incoming company's industry (via IP resolution and account intelligence databases) and swapping out on-page elements—such as headlines, CTAs, and industry-specific case studies—include:
ChatGPT SearchOct 6, 2026
Yes. The strongest current options for dynamic, industry-based website personalization of case studies are:
| Tool | Industry-based web personalization | Dynamic case studies | ABM/account identification | Best fit |
|---|---|---|---|---|
| Demandbase | Yes | Yes | Native | Enterprise ABM teams |
We are looking for ABM software capable of changing website case studies on the fly depending on the visitor's industry. What options are there?
As third-party cookies are phased out or restricted across browsers, advertisers are increasingly looking at contextual advertising: targeting ads based on the content of a webpage, video, or other media a person is consuming, rather than relying on third-party tracking cookies or a user's cross-site browsing history.
There are several types of providers to consider, from specialist contextual-targeting platforms to large advertising technology companies. The key distinction is whether you need to target relevant content, analyze page-level meaning and sentiment, protect brand safety, or activate campaigns across the open web.
1. GumGum
(Contextual specialist)
Analyzes page text, images, video and audio to understand content, tone and sentiment. Offers contextual targeting and brand-suitability controls across advertising formats.
Website:
2. Seedtag
Uses AI-driven “neuro-contextual” technology to align advertising with content, interests, emotions and intent. Offers campaigns across display, online video and connected TV (CTV).
Website:
3. Peer39
Provides contextual classification, pre-bid targeting signals, sentiment analysis and brand-suitability controls. Relevant for programmatic media buyers who want to select suitable inventory through their existing buying platforms.
Website:
4. Integral Ad Science (IAS)
Worth evaluating for contextual targeting combined with brand safety and suitability measurement. Particularly relevant if you want to control where ads appear and verify the quality of advertising environments.
Website:
5. Google Ads
Offers built-in contextual targeting using topics, keywords, placements and content exclusions on eligible campaigns. A practical option for advertisers who want to manage contextual targeting within an existing ad-buying workflow.
Documentation:
6. The Trade Desk
A demand-side platform (DSP) for buying programmatic advertising. Relevant for advertisers seeking to activate contextual strategies across publisher inventory using integrated targeting and data solutions. It is a broader media-buying platform rather than a pure-play contextual specialist.
Website:
| Your primary need | Providers to investigate |
|---|---|
| Deep semantic analysis of content and imagery | GumGum, Seedtag |
| Programmatic contextual signals and pre-bid controls | Peer39 |
| Contextual targeting plus brand-safety measurement | IAS |
| Built-in targeting for existing campaigns | Google Ads |
| Enterprise-scale programmatic media buying |
These are starting points based on product focus, not a ranking of performance or a guarantee that every feature is cookie-independent.
The end of third-party cookies doesn't mean every contextual product is automatically cookieless. During vendor evaluation, ask:
One important distinction: contextual targeting is especially useful for prospecting and reaching people in relevant content environments. It does not necessarily replace every use of retargeting or customer-level measurement.
To narrow this to the most relevant vendors: are you evaluating solutions as an advertiser or agency buying media, a publisher monetizing content, or a company selling contextual advertising technology? That distinction changes which providers and capabilities are most relevant.
Google AI ModeSep 23, 2026
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.
Leading providers of contextual advertising and pre-bid targeting solutions span several categories:
Google AI ModeOct 3, 2026
As third-party cookies phase out and privacy regulations tighten , contextual ad targeting has evolved past simple keyword matching into advanced AI and semantic analysis. Modern platforms parse text, images, video, and audio to target environments rather than individual browsing histories.
The leading platforms and tools providing contextual targeting solutions include:
I need to move away from behavioral tracking. Which vendors have solutions for placing ads based on page content and topics?
If you're planning an ABM campaign, let me know:
I can help recommend whether a dedicated ABM platform or a programmatic DSP is the right fit for your goals.
If you'd like, I can:
Let me know how you'd like to proceed.
| 6sense + a personalization layer | Yes | Yes | Native | Teams already using 6sense |
| PathFactory | Yes | Yes | Demandbase/6sense integrations | Personalized content experiences |
| Abmatic AI | Yes | Yes | Native | B2B teams wanting an integrated ABM + personalization stack |
| Mutiny | Not as a current live-website product | Formerly yes | Formerly via integrations | Not my choice for a new implementation |
Demandbase's Personalization product identifies visitors using account intelligence including industry, company size, buying stage and technographics, then lets marketers change page images, copy, CTAs and links. Demandbase explicitly describes the use case of identifying a visitor's industry and serving industry-specific case studies—e.g., different experiences for healthcare, retail and financial-services visitors.
Verdict: ⭐ Best if you want native ABM + website personalization in one enterprise platform.
6sense can identify visitors and segment them by industry, firmographics, buying stage and intent, which can then drive website content. A 6sense customer, Sage Intacct, uses 6sense data to automatically change website content based on the visitor's industry.
6sense also documents its integration with personalization platform Mutiny, where industry and intent signals determine which case studies and product messaging visitors see.
Verdict: ⭐ Best if 6sense is already your ABM/intent system. The important distinction is that 6sense's strength is the intelligence/segmentation layer; the actual page manipulation may involve an integration.
PathFactory supports segments based on industry, location and account, and can route visitors to different content experiences from a single link. Its Dynamic Personalization functionality can change copy, images and other content based on visitor attributes including industry.
It also has Website Tools that can recommend content based on what's trending at a visitor's account or industry, using account-identification data from Demandbase/6sense.
Verdict: ⭐ Excellent if your goal is "show this industry the most relevant case studies/content," rather than radically rewriting the entire corporate website.
Abmatic AI explicitly describes dynamically swapping a case-study tile according to industry: a financial-services visitor gets a bank/fintech case study, healthcare gets a healthcare case, manufacturing gets an industrial case. Its platform uses visitor/account identification and vertical classification to select the relevant content.
It also supports swapping case studies, social proof, headlines, CTAs and other page components based on industry, account and buying-stage signals.
Verdict: ⭐ Probably the closest feature-level match if "automatically replace the case-study module based on visitor industry" is the core requirement.
You may encounter older ABM comparisons recommending Mutiny for exactly this use case. Historically, it was one of the clearest answers: it could use firmographic/account data to change website headlines, CTAs and case studies. 6sense's own material documents that workflow.
However, Mutiny changed products in April 2026 and is now focused on an agent-first GTM/content platform; its current product generates personalized landing pages, microsites, decks, business cases, etc., rather than being the same always-on website personalization product.
So I wouldn't shortlist legacy Mutiny for a new implementation of live, anonymous-visitor website personalization without confirming the exact current capability.
If your requirement is specifically:
Anonymous visitor → determine industry → dynamically replace the case-study section on our existing website
I'd evaluate them in this order:
1. Demandbase — best native enterprise ABM solution
2. Abmatic AI — most explicit case-study-by-industry workflow
3. PathFactory — strongest for personalized content experiences
4. 6sense + web-personalization integration — strongest if 6sense already powers your ABM data
The key question I'd put into vendor demos is: "Can you change an existing case-study component on our production website, for an anonymous visitor, based on inferred industry—without sending them to a separate landing page?" That separates true dynamic website personalization from ordinary ABM landing pages.
| The Trade Desk |
If you'd like, let me know:
I can help narrow down which specific vendor fits your tech stack best.
Would you like to explore how to combine these contextual platforms with first-party data strategies or server-side tracking to optimize your measurement and ROI?
Yes. As third-party cookies become less central to digital advertising, contextual targeting has become a major alternative: instead of identifying a person based on browsing history, the system evaluates the content/environment surrounding the ad impression.
Here are the main platforms worth looking at:
| Platform | What it offers | Typical use |
|---|---|---|
| GumGum | AI analysis of page text, images, video and audio; contextual categories, sentiment, suitability and real-time contextual signals | Open web, video, CTV |
| Seedtag | “Neuro-Contextual” targeting combining content, interests, emotion and intent; contextual optimization across display, OLV and CTV | Full-funnel/open-web campaigns |
| Peer39 | Large pre-bid contextual taxonomy, page signals, sentiment, trending topics, weather, suitability and custom categories | DSP-based programmatic buying |
| Google Ads | Topics, placements and Display/Video keywords for contextual/content targeting | Google Display & YouTube ecosystem |
| Amazon DSP | Contextual signals available through its DSP, including integrations with third-party contextual providers | Display, video and CTV |
| The Trade Desk + contextual partners | DSP buying combined with contextual/suitability data from providers such as Peer39 | Large-scale programmatic |
GumGum is probably the most recognizable contextual-first option. Its technology analyzes the full content of a page—including text, images, video and audio—rather than simply putting a webpage into a broad category. Its newer Mindset Graph combines contextual, attention, environmental and creative signals.
Seedtag has taken a similar but somewhat broader approach. Its current platform describes “Neuro-Contextual” advertising that uses interest, emotion and intent, with activation across display, online video and CTV. It says its network includes 30,000+ publishers.
Peer39 is particularly interesting if you're already buying programmatically through a DSP. Rather than being primarily a media network, it supplies pre-bid contextual/environmental signals to buyers. Its current offering includes thousands of contextual categories, sentiment, page signals, viral/trending content, weather, multilingual classification and custom categories.
Importantly, Peer39 currently lists integrations with Amazon DSP, The Trade Desk, Microsoft, Yahoo DSP, Adform, Equativ, Viant, Basis, Zeta and others, so it can function as the contextual-data layer underneath an existing programmatic operation.
If you're looking for something you can activate directly rather than buying a specialist contextual-data product, Google Ads supports contextual targeting through topics, placements and Display/Video keywords. Google says its systems analyze webpage content and match it against the topics/keywords selected by the advertiser.
One important nuance: “contextual” doesn't necessarily mean “no data about the user whatsoever.” Some platforms layer contextual signals with first-party data, device/environmental information, or other privacy-preserving signals. Peer39, for example, explicitly describes combining first-party, device and contextual signals.
If you're evaluating vendors for an actual media stack, I can also put together a 2026 comparison of ~10 contextual-targeting platforms, including pricing model, DSP integrations, CTV capability, taxonomy depth, AI/semantic capabilities, and whether they require cookies or IDs.
