# ChatGPT Ad Intelligence Tools: A 2026 Directory # ChatGPT Ad Intelligence Tools: A 2026 Directory OpenAI started testing ads inside ChatGPT for US Free and Go users on February 9, 2026 ([Axios](https://www.axios.com/2026/02/09/chatgpt-ads-testing-go-free), 2026). Within months a wave of tools appeared to watch how brands show up in AI answers, and a smaller set to watch the ads specifically. There is no public ChatGPT ad directory to look any of this up in ([Search Engine Land](https://searchengineland.com/what-chatgpt-ads-data-reveals-about-your-competitors-479301), 2026), so every tool builds on prompt-level data capture. This page is a directory of those tools, with neutral entries grouped by what each one actually does. It is a map of the field, not a ranking or a head-to-head. If you are starting from zero, our [monitoring ChatGPT ads](https://www.joinmassive.com/blog/how-to-monitor-chatgpt-ads) primer covers the basics first. > **Key Takeaways** > - The tools split into two groups: ad-focused monitors that track competitor placements, and broader AI-visibility (AEO) platforms that track organic brand mentions and increasingly touch ads. > - Profound is the standout for connecting the two, pairing your own OpenAI Ads performance with its organic AI-visibility data to show paid and organic ChatGPT presence side by side ([Profound](https://www.tryprofound.com/blog/introducing-openai-ads-nodes-for-profound-agents), 2026). > - Ad-focused: Adthena and GrowByData sample competitor ChatGPT ads at the prompt level ([Adthena](https://www.adthena.com/chat-gpt-ads/), 2026). > - AI-visibility / AEO: HubSpot AEO, Siftly, and UltraScout track brand and competitor presence across ChatGPT, Gemini, Perplexity, and more ([HubSpot AEO](https://www.hubspot.com/products/aeo), 2026). > - No public ad directory exists and ads render per geo, so every tool depends on prompt-level, geo-accurate collection ([DataImpulse](https://dataimpulse.com/blog/best-proxies-for-ai-scraping/), 2026). ## How to read this directory ChatGPT ad intelligence covers four jobs: share-of-voice tracking (how often you and rivals appear), prompt discovery (which questions trigger ads), creative analysis (what the ads say), and trademark or sentiment alerts (when a competitor bids on your brand or the model frames you against a rival). No single tool owns all four, and the tools split into two camps. One camp watches the ads directly. These products sample eligible sessions, capture the Ad title, Ad description, Final URL, and impression share, and report on competitor placements ([Search Engine Land](https://searchengineland.com/what-chatgpt-ads-data-reveals-about-your-competitors-479301), 2026). The other camp grew out of AI-visibility, or answer engine optimization, and tracks how AI systems mention your brand organically, with ad signals arriving as the surface matures. Each entry below notes which camp the tool sits in, so you can match a product to the job you actually have. One thing most coverage skips: prompt discovery is closer to keyword research than to ad spying. In paid search you start from a known query universe; in ChatGPT you reconstruct that universe one eligible session at a time. So the tool that maps the most prompts, in the most geos, wins discovery, and completeness is a data-collection problem long before it is an analytics one. That reframes the whole category: the dashboard is downstream of how many prompts, in how many markets, a tool can actually observe. ## The tools ### Profound (paid and organic, side by side) Profound is an AI search visibility platform spanning ChatGPT, Perplexity, Claude, and Gemini, and it is the standout for connecting paid to organic. Its OpenAI Ads nodes pull your own ChatGPT campaign metrics (impressions, clicks, spend, CTR, CPC, CPM) and set them beside its organic AI-visibility data, so you see paid and organic ChatGPT presence in one view ([Profound](https://www.tryprofound.com/blog/introducing-openai-ads-nodes-for-profound-agents), 2026). That unified picture makes it a strong fit for measuring where paid spend reinforces organic presence and where the two compound, the exact overlap most dashboards leave you to guess at. ### Adthena (ad-focused) ChatGPT Ads Intelligence surfaces which competitors advertise alongside you and which prompts they appear on, plus creative breakdowns of competitors' image types, copy themes, and headline lengths ([Adthena](https://www.adthena.com/chat-gpt-ads/), 2026). It is built for competitor-ad tracking and share of voice across markets, turning a fuzzy surface into a ranked list of prompts and rivals you can act on. ### GrowByData (ad-focused) ChatGPT Ads Monitoring frames the surface through metrics it calls an Ad Cannibalization Rate and a Sentiment Gap, the latter contrasting how a brand is described against rivals ([GrowByData](https://growbydata.com/solutions/search-intelligence/chatgpt-ads-monitoring/), 2026). It suits teams protecting paid margins and watching how the model frames their brand versus competitors. ### HubSpot AEO (AI visibility) HubSpot's AEO product tracks brand and competitor appearance across ChatGPT, Gemini, and Perplexity, which makes cross-engine share-of-voice and alerting practical inside an existing marketing stack ([HubSpot AEO](https://www.hubspot.com/products/aeo), 2026). The draw is consolidation: teams already in HubSpot get AI-visibility tracking next to the rest of their reporting. ### Siftly (AI visibility) Siftly runs your customer prompts daily across ChatGPT, Claude, Perplexity, and Google AI Overviews, flagging mentions, position, sentiment, competitor co-occurrence, and hallucinations in one dashboard, with GEO content tools and A/B testing for visibility experiments ([Siftly](https://siftly.ai/), 2026). It leans toward agencies and teams running structured before-and-after tests on AI presence. ### UltraScout (AI visibility) UltraScout is an AEO and GEO platform that tracks brand mentions, sentiment, citation authority, AI share of voice, and Zero Coverage gaps across ChatGPT, Gemini, Claude, Perplexity, and Copilot, with automated content generation to close those gaps ([UltraScout](https://www.ultrascout.ai/), 2026). It is full-stack on the organic side, from detection through published content, rather than a dedicated competitor-ad monitor. ## The collection layer every entry runs on Every tool above runs on one shared input: prompts run in eligible sessions, with the ad fields and impression share captured per geo, because no public directory exists ([Search Engine Land](https://searchengineland.com/what-chatgpt-ads-data-reveals-about-your-competitors-479301), 2026). Most sites block datacenter IPs quickly, while residential IPs from real ISPs read as normal users, and surfaces render by region and language ([DataImpulse](https://dataimpulse.com/blog/best-proxies-for-ai-scraping/), 2026).

Source: Axios (2026) and Euronews (2026) on the ChatGPT ad testing rollout.

That is the part platforms tend to keep quiet, and it is the harder half. The analytics, dashboards, and brand layer are where Profound, Adthena, GrowByData, HubSpot, Siftly, and UltraScout each differentiate. The upstream collection, getting a geo-accurate, real-user view of what ChatGPT actually shows in Tokyo versus Toronto, is a separate infrastructure problem. This is where Massive Computing fits, as the layer those products can build on rather than a competitor to any of them. The Web Render API `/ai` endpoint returns ChatGPT, Gemini, Perplexity, and Copilot completions through real-user-device origins in any geo, delivered as completion plus sources HTML and a subqueries array, sync or async, with geotargeting by country, subdivision, or city and device emulation. It draws on 1M+ verified residential devices across 195+ countries, ethically sourced through an opt-in SDK, with SOC 2, GDPR, and AppEsteem compliance. The build-versus-buy tradeoff for that layer is covered in [how to scrape ChatGPT ads](https://www.joinmassive.com/blog/how-to-scrape-chatgpt-ads). ## Frequently Asked Questions ### Are there off-the-shelf ChatGPT ad intelligence tools yet? Yes. Profound pairs your own paid data with organic presence side by side, Adthena and GrowByData focus on competitor ChatGPT ads, and HubSpot AEO, Siftly, and UltraScout come at the surface from AI-visibility ([Profound](https://www.tryprofound.com/blog/introducing-openai-ads-nodes-for-profound-agents), 2026). They differ in emphasis, so the right fit depends on whether you prioritize the paid-versus-organic picture, competitor-ad tracking, share of voice, creative analysis, or sentiment alerts. ### Which tools track competitor ads versus your own? Profound reports on your own OpenAI Ads campaigns and pairs them with organic visibility, which is the cleanest way to see your paid and organic presence together ([Profound](https://www.tryprofound.com/blog/introducing-openai-ads-nodes-for-profound-agents), 2026). Ad-focused monitors like Adthena and GrowByData sample eligible sessions to surface competitors' placements ([Adthena](https://www.adthena.com/chat-gpt-ads/), 2026). AI-visibility platforms like HubSpot AEO, Siftly, and UltraScout track organic brand presence across engines. ### Where does the underlying data come from? There is no public ChatGPT ad directory. The data comes from running prompts in eligible sessions and capturing the Ad title, Ad description, Final URL, and impression share ([Search Engine Land](https://searchengineland.com/what-chatgpt-ads-data-reveals-about-your-competitors-479301), 2026). Because ads render by geography, the same prompt produces different results in different markets. ### Why does geography matter so much for collection? OpenAI rolled ads out in phases, starting with US Free and Go users on February 9, 2026, then the UK, Japan, South Korea, Canada, Australia, and New Zealand ([Axios](https://www.axios.com/2026/02/09/chatgpt-ads-testing-go-free), 2026). Each market shows its own ad set, so accurate measurement needs local residential IPs in every region you track. ### Do I need residential IPs, or will datacenter proxies work? Most sites block datacenter IPs quickly, while residential IPs from real ISPs look like normal users ([DataImpulse](https://dataimpulse.com/blog/best-proxies-for-ai-scraping/), 2026). For ad surfaces that render by region and language, geo-accurate collection generally relies on local residential addresses rather than datacenter ranges. ### Should I build collection myself or buy a tool? It depends on your team. Platforms like Adthena and HubSpot AEO give you analytics out of the box, while the collection layer can be sourced from infrastructure providers. Many teams keep the dashboard they like and feed it geo-accurate data from a separate render or proxy layer. ## The honest takeaway The ChatGPT ad intelligence field is young and splitting into two shapes: ad-focused monitors and broader AI-visibility platforms, with Profound out front by setting your own paid data beside organic in a single view. Profound, Adthena, GrowByData, HubSpot AEO, Siftly, and UltraScout are all credible entries, and the right one depends on which job you weigh most: the paid-versus-organic picture, competitor-ad tracking, share of voice, prompt discovery, creative analysis, or alerting. What unites them is the data underneath. No public directory exists, ads render per geo, and datacenter IPs get blocked, so accurate collection is its own discipline. Pick the tool that fits your team, then make sure the data feeding it actually reflects what buyers see in each market. To go deeper on the metric these tools all report, start with [ChatGPT ad share of voice](https://www.joinmassive.com/blog/chatgpt-ads-share-of-voice).