When OpenAI quietly switched on advertising inside ChatGPT on February 9, 2026, most industry commentary focused on the philosophical question: would ads break user trust in an AI assistant? Four weeks later, the debate has moved somewhere more concrete. App analytics provider Sensor Tower spent two weeks cataloguing every sponsored placement appearing inside ChatGPT conversations, cross-referenced the data with query types, and shared the results publicly. What the numbers show is neither surprising nor simple to act on — and it has significant implications for every brand, agency, and digital marketing team deciding right now whether to enter, wait, or ignore this channel entirely.
The headline figure is this: retail brands account for approximately 44% of all advertisers identified in the pilot. Grocery, travel, food delivery, software, entertainment, and media round out the rest. More than 100 individual brand promotions were recorded across that two-week observation window. A new advertising channel with hundreds of millions of users has, in a matter of weeks, begun to mirror the same advertiser category mix that has dominated Google Search for years — with one critical structural difference that every media planner needs to understand.
The Architecture of ChatGPT Ads: How the System Actually Works
Before interpreting any data, it is worth establishing precisely how OpenAI’s advertising system operates, because it differs structurally from almost every major digital ad platform currently in use.
OpenAI’s official position, published on its website, states that ads are matched to users based on three inputs: the topic of the current conversation, the user’s past chat history, and that user’s past interactions with ads. There is no third-party cookie, no pixel-based retargeting, and no demographic profiling based on personal data. Advertisers submit creatives in advance, OpenAI’s system matches those creatives to conversations by topic relevance, and the most contextually relevant ad from among competing advertisers is displayed.
The ads appear below ChatGPT’s organic answer, clearly labelled as “Sponsored” and visually separated from the response text. OpenAI has been explicit: the ads do not influence the content of ChatGPT’s answers. The system selects the ad to show after the answer is generated, not before it.
Users retain meaningful control. They can dismiss individual ads, access an explanation of why a specific ad appeared, view their complete ad history, delete their ad data in a single tap, and toggle ad personalisation off entirely. Users on the Free tier who prefer no ads can opt out in exchange for a reduced number of daily free messages. Users on the Go tier ($8 per month) see ads as part of the subscription. Users on Plus, Pro, Business, Enterprise, and Education plans see no ads at all.
The current test is limited to logged-in adult users in the United States. OpenAI has confirmed that ads will not appear near conversations touching on sensitive or regulated topics — specifically, health, mental health, and politics are excluded from ad eligibility during the current pilot phase.
This architecture matters because it determines what kind of ad performance data is available, what kind of targeting is possible, and what the experience means for the user. Unlike Google Search, where the ad appears alongside the answer and competes visually with organic results, ChatGPT ads sit beneath a completed, uninfluenced response. The user has already received their answer. The ad is positioned as a next step, not a competing source.
The First Wave: Which Brands Are Already Inside ChatGPT
The roster of brands confirmed to be participating in OpenAI’s advertising pilot, either through direct company announcements or through reporting by The Verge, Ad Week, and other trade publications, reads as a cross-section of consumer-facing industry:
Target is among the most prominent early participants. In its own announcement, Target stated that ads will appear based on keywords in a user’s ChatGPT prompt and described the format this way: someone asking ChatGPT for recommendations on countertop cooking appliances might see a Target ad for an air fryer. Target is positioning the placement as a product discovery tool, not a traditional sales conversion mechanism.
Adobe is running ads for two of its products in ChatGPT: Acrobat Studio, its AI-powered document editing platform, and Adobe Firefly, its generative image and video tool. Adobe has stated publicly that it views the partnership partly as research — a way to understand how ads can provide helpful, relevant experiences as it builds out its own advertising platform designed to help brands appear in AI-generated search results.
Williams-Sonoma is using the channel to surface what it describes as high-quality products at decision-making moments — a phrasing that aligns precisely with how OpenAI describes the value proposition of advertising in a conversational AI context.
Audible, the Amazon-owned audiobook and podcast platform, is participating through the WPP Media agency relationship. The placement represents a category extension — subscription services and digital content, not physical products.
HelloFresh, the meal kit company, entered the pilot through a stated alignment with meal planning queries. HelloFresh SVP of Global Marketing Patrick Stal described the opportunity as reaching customers already using ChatGPT for purposes like planning weekly dinners, which maps directly to the product’s use case.
WPP Media confirmed it is representing Ford, Mazda, the cleaning product brand Mrs. Meyer’s, and the Swiss luxury watchmaker Audemars Piguet in the pilot — a range that spans mass-market automotive, everyday household products, and ultra-premium luxury goods. The breadth of that client list within a single agency suggests WPP sees category diversity as part of its early-mover strategy.
Dentsu confirmed participation across clients in grocery, hospitality, retail, software, travel, and consumer packaged goods, without identifying specific brand names.
Omnicom listed participating client categories as apparel, automotive, beauty, CPG, technology, telecommunications, hospitality, retail, and fast food.
The advertising agency involvement is significant. Omnicom, WPP, and Dentsu collectively manage a substantial share of global advertising budgets. Their early entry into the ChatGPT pilot signals institutional confidence that this channel warrants allocation, even at the current stage.
Retail at 44%: Why This Category Moved First and What the Data Says
Sensor Tower’s analysis, based on two weeks of observed ChatGPT ad activity starting from the February 9 launch, identified specific retail brands that appeared most frequently in ad placements. The list includes Chewy, Target, Sephor
The 44% share held by retail is not accidental, and the explanation has two components.
The first is demand-side: retail and grocery queries are among the most common types of searches conducted on Google, and the Sensor Tower data suggests that the same search behaviour is migrating to ChatGPT. People are asking ChatGPT what to cook for dinner, which air purifier to buy, whether a specific product is worth purchasing, where to find a particular item at a discount. These are transactional and product-discovery queries — exactly the type that retail advertising is designed to intercept.
The second component is supply-side: retail brands have the most developed programmatic advertising operations of almost any sector. They have creative assets prepared, campaign structures already in place for contextual targeting, and the organisational infrastructure to enter a new channel quickly. When OpenAI opened the pilot, retail brands were structurally best positioned to respond at speed.
It is worth noting what the data also shows beyond retail dominance. Travel and food delivery categories both recorded significant ad appearances, which suggests that any product or service people research conversationally — booking a trip, ordering a meal, planning a shopping run — generates ad-eligible query intent inside ChatGPT.
The parallel that Sensor Tower draws explicitly is this: retail and grocery promotions dominate Google Search. The same category pattern is now emerging on ChatGPT. This is not a coincidence. It reflects the fact that consumer search intent — regardless of platform — gravitates toward the same fundamental human activities: eating, shopping, travelling, and managing domestic life.
The $200,000 Entry Cost: What It Means for Market Access
OpenAI’s decision to set a minimum advertiser commitment of $200,000 is the detail that most directly shapes who is participating in the pilot and who is watching from the sidelines.
Adweek confirmed the minimum directly with OpenAI. Separately, search intelligence firm Adthena reported that four of its clients were approached with a $250,000 commitment threshold. The CPM rate — cost per thousand impressions — is approximately $60, which is meaningfully higher than most programmatic display rates and comparable to premium video inventory.
The financial barrier achieves several things from OpenAI’s perspective. It keeps the pilot small and tightly controlled. It limits participation to brands with the budget and risk appetite to experiment on an unproven channel. It ensures OpenAI is working with sophisticated advertisers who have the measurement infrastructure to generate meaningful feedback. And it protects the user experience during a phase when ad relevance and placement quality are still being calibrated.
For the broader advertising market, the $200,000 floor effectively excludes small and medium businesses from the current pilot entirely. This is not unusual for platform launches — Google’s early AdWords had its own access barriers before programmatic automation democratised entry — but it means the first wave of performance data will come exclusively from large-brand activity, which may or may not generalise to other advertiser types.
The $60 CPM stands as an interesting benchmark against the ChatGPT user base. As of late 2025, OpenAI’s CEO Sam Altman confirmed that ChatGPT surpassed 800 million weekly active users, with some subsequent estimates placing the figure closer to 900 million by early 2026. At that scale, a $60 CPM represents access to a reach curve that few digital channels can match — but only for brands that can clear the financial and operational bar to enter.
Criteo’s Integration: The First Ad-Tech Bridge Into ChatGPT
On March 2, 2026, Criteo announced it had become the first ad-tech partner to integrate with OpenAI’s advertising pilot in ChatGPT — a structural development that received less coverage than the initial brand announcements but carries significant long-term implications.
Criteo’s integration means that brands working with Criteo’s digital advertising platform will gain access to ChatGPT ad placements through an existing programmatic relationship, rather than needing to negotiate directly with OpenAI. The integration applies to the Free and Go versions of ChatGPT in the United States. Criteo manages over $4 billion in annual media spend across its client base, meaning a substantial volume of brand advertising budget now has a potential pathway into ChatGPT without requiring individual $200,000 commitments direct to OpenAI.
The practical implications are significant. Ad-tech integration is how digital advertising scales. Google’s transition from a manually negotiated ad sales model to a fully automated auction system, facilitated by intermediaries and agencies, is what turned Google Search into the dominant advertising channel globally. The entry of Criteo as the first ad-tech partner suggests OpenAI intends to follow a similar trajectory: start controlled and direct, then open the pipes to programmatic scale.
Criteo has positioned ChatGPT as the next major performance channel — describing it as AI-assisted shopping. That framing aligns with the observable data: the most common ChatGPT ad categories are product categories, and the users most likely to see ads are the users most engaged in active research and purchasing consideration.
Privacy Architecture: What Advertisers Know and Don’t Know About Users
One of the most commercially important aspects of OpenAI’s advertising system is what it withholds from advertisers rather than what it provides.
According to OpenAI’s published guidelines and confirmed by the test’s terms of participation: advertisers have no access to user conversations, no access to chat history, no access to memory data, and no access to personal user details. The data advertisers receive is aggregated — views and clicks — with no individual-level attribution.
This is a materially different privacy model from Google’s advertising ecosystem, where Google’s own data infrastructure enables interest-based targeting, demographic segmentation, and conversion tracking tied to specific user behaviour across the web.
OpenAI’s system targets by conversation topic, not by user identity. An ad for a meal kit service appears because the current conversation is about dinner planning, not because the system has built a profile of a 34-year-old in Chicago who has browsed grocery delivery apps seventeen times this month.
For brands, this creates a measurement challenge that is different from but not necessarily worse than existing programmatic models. Brand awareness campaigns and upper-funnel product discovery benefit from contextual relevance — appearing at the moment of intent — without requiring individual-level data. Performance campaigns with conversion targets require more precise attribution, which the current system does not provide.
OpenAI has stated it will expand its advertising program over time to support additional formats, objectives, and buying models. Reading between the lines of that statement, it is reasonable to expect that performance-oriented attribution tools will be developed as the pilot matures and the feedback from current participants informs the roadmap.
The privacy design also makes a specific point of excluding advertising from conversations involving users under 18, and from contexts involving health, mental health, or political topics — constraints that reflect both regulatory prudence and reputational risk management.
The Behavioural Shift: Product Discovery Is Moving to ChatGPT
The most strategically significant insight in the Sensor Tower data is not the category breakdown of advertisers. It is what the distribution of ad placements implies about how people are using ChatGPT.
Sensor Tower’s analysis explicitly notes that the data reflects “regular discovery behaviour that would be conducted in Google is migrating to ChatGPT.” The implication is that a meaningful subset of ChatGPT queries are not the complex, multi-step reasoning or research tasks that early users associated with large language models. They are the same transactional, product-discovery, and information queries that have historically driven Google Search revenue.
This migration has measurable consequences for advertising strategy. If a user who previously Googled “best air fryer under $100” is now asking ChatGPT the same question in a conversational format, that user’s purchase intent is equivalent — but their channel is different, and the ad format they encounter is contextually embedded rather than listed alongside competing results.
The data from a 2026 consumer survey found that 85% of U.S. consumers now use AI tools weekly for shopping research. That figure, combined with ChatGPT’s platform scale and the contextual nature of its ad format, creates a different kind of advertising opportunity than traditional search: one where the user is in active problem-solving mode, has already received a response they found useful, and is now presented with a product recommendation aligned to their stated need.
For brands in retail, grocery, travel, and food delivery, this is broadly positive news. Their category intent is abundant in ChatGPT queries, their creative assets translate to the format, and the placement follows a genuinely useful user experience rather than interrupting it.
For brands in categories less naturally tied to transactional discovery queries — B2B software, financial services, healthcare — the current signal is more ambiguous. Whether those categories generate sufficient ChatGPT query volume to deliver cost-effective reach at a $60 CPM is a calculation that will require real performance data from the pilot to answer.
The Absentees: Amazon, Walmart, Costco, and Apple Haven’t Entered Yet
Among the most data-rich observations in Sensor Tower’s analysis is not which brands appeared, but which brands did not.
Amazon, Costco, Walmart, and Apple — four of the most prominent retail and technology advertisers in the world — have not participated in the ChatGPT advertising pilot as of the analysis date. The reasons vary and most are publicly unspecified, but several interpretations are plausible.
Amazon operates its own advertising ecosystem, Amazon Advertising, which is the third-largest digital advertising platform globally after Google and Meta. Amazon’s incentive to drive advertising spend into a competing channel — particularly one operated by OpenAI, a company in which Microsoft has invested heavily and which competes with Amazon’s own Alexa and AWS AI infrastructure — is limited by its own platform economics.
Walmart, similarly, has invested significantly in its own retail media network, Walmart Connect. As a direct competitor to Amazon in both retail and retail media, Walmart’s absence may reflect a deliberate posture of building its own AI-adjacent advertising capabilities rather than funding a platform it views as competitive terrain.
Costco’s business model is built on membership, not advertising, and the brand has historically maintained a minimal paid media presence relative to its revenue.
Apple’s absence is arguably the most notable. Apple has its own Search Ads platform for the App Store, and its ATT (App Tracking Transparency) framework has been positioned publicly as a privacy-first advertising alternative to the surveillance-advertising model. Appearing in an OpenAI advertising pilot — even one with robust privacy protections — may not align with the brand positioning Apple has spent considerable resources building.
These absences do not necessarily reflect permanent decisions. As the pilot expands and performance data becomes available, each of these companies will make informed decisions about participation based on ROI evidence rather than first-mover instinct.
What This Means for Your Advertising Strategy Right Now
For marketers weighing whether to include ChatGPT advertising in their mix, the first 30 days of data provides several specific decision inputs.
Category alignment matters. The current ad distribution follows query intent. Retail, grocery, travel, and food delivery are showing up because users are asking about those things in ChatGPT at high enough volume to justify ad placement. Before allocating budget to the channel, the foundational question is: do people naturally consult ChatGPT when making the kind of decision your product or service addresses? If the answer is yes, the channel has organic alignment. If the answer is uncertain, that uncertainty should inform how much budget to test with.
The contextual model favours upper-funnel and discovery investment. ChatGPT’s ad format — positioned after a useful answer, contextually matched by topic — is structurally suited to awareness and consideration objectives. A user asking about meal planning who sees a HelloFresh ad has not expressed purchase intent on a specific SKU; they have expressed category interest. Brands with clear category association and strong creative that converts consideration to action are best positioned for this format at present.
The $200,000 floor is not permanent. The Criteo integration is the clearest signal that OpenAI intends to open the channel to programmatic buying at lower thresholds. Marketing teams that cannot currently access the pilot should be preparing — building AI-optimised creative assets, developing a strategy for GEO (Generative Engine Optimisation), and ensuring their products and services appear accurately in ChatGPT’s organic responses, which is a separate and equally important activity from paid advertising.
Privacy-compliant measurement frameworks are the prerequisite. Because ChatGPT advertising provides only aggregated performance data, brands need measurement strategies that do not depend on individual-level attribution. Incrementality testing, brand lift studies, and modelled attribution are the tools that will work in this environment. Teams that have maintained those capabilities in the post-cookie environment are better positioned to evaluate performance honestly.
Organic AI visibility and paid AI advertising are complementary, not substitutes. An advertiser can pay for placement in ChatGPT while also earning organic mention in ChatGPT’s responses through high-quality content, accurate product data, and strong brand authority signals. The brands that will perform best across both dimensions are those that treat AI search optimisation as a durable investment rather than a channel-specific tactic.
The Broader Context: What ChatGPT Advertising Signals for the Digital Marketing Industry
The launch of advertising in ChatGPT is not, in isolation, a seismic event. OpenAI is testing a format, collecting feedback, and building toward a fuller advertising program. The current pilot is constrained by geography (US only), user tier (Free and Go), and minimum spend ($200,000).
What the pilot represents at a structural level, however, is the beginning of a third major advertising channel that operates on different principles than either Google Search or Meta’s social graph.
Google’s advertising model is built on keyword-intent targeting at the moment of search. Meta’s model is built on social graph data and interest-based audience targeting. OpenAI’s emerging model is built on conversational context at the moment of active problem-solving. The user is not typing a keyword and scanning results. They are having a dialogue with an AI system that has already helped them, and the ad appears as a relevant next step in that dialogue.
That framing — relevant next step rather than competing placement — is either a significant opportunity or a significant challenge depending on how well individual advertisers can create messages that feel useful rather than interruptive in context. The brands that have entered the pilot appear to understand this: Target’s framing of product discovery, Williams-Sonoma’s reference to decision-making moments, HelloFresh’s alignment with meal planning queries all describe a model in which the ad is a service rather than an interruption.
From a market scale perspective, the AI advertising sector is projected to grow at a compound annual rate that would take AI-related marketing spend to over $107 billion by 2028, up from a substantially smaller base in 2024. ChatGPT’s user base of 800 to 900 million weekly active users represents a reach that rivals or exceeds many established channels, with a user base that skews toward educated, high-income, digitally engaged consumers — precisely the demographic that most premium advertisers seek.
The question for 2026 is not whether ChatGPT advertising will become a meaningful part of the digital marketing mix. The structure of the platform, the scale of the user base, and the institutional investment from agencies like Omnicom, WPP, and Dentsu collectively make that outcome probable. The question is how quickly the channel matures from a tightly controlled pilot to a broadly accessible buying environment, and whether the privacy architecture, relevance model, and performance measurement tools prove durable at scale.
The first 30 days of data suggests the foundational architecture is sound. The real test begins as the pilot expands.
Frequently Asked Questions About ChatGPT Advertising and Retail Brand Dominance
When did OpenAI start showing ads in ChatGPT? OpenAI began testing ads in ChatGPT on February 9, 2026, in the United States. The test is currently limited to logged-in adult users on the Free and Go subscription tiers.
Who sees ads in ChatGPT? Only logged-in adult users in the United States using the Free tier or the Go tier ($8 per month) see ads during the current pilot. Users on Plus, Pro, Business, Enterprise, and Education plans do not see ads. OpenAI has also stated that ads will not be shown in accounts where the user is under 18 or predicted to be under 18.
What categories of brands are advertising in ChatGPT? Based on Sensor Tower’s analysis of two weeks of ChatGPT ad activity starting from the February 9, 2026 launch, retail brands account for approximately 44% of advertisers. Other categories include grocery, travel, food delivery, entertainment, software, and media. Specific confirmed brands include Target, Adobe, Williams-Sonoma, Audible, HelloFresh, Ford, Mazda, Mrs. Meyer’s, and Audemars Piguet.
Why do retail and grocery brands dominate ChatGPT ads? Retail and grocery queries are among the most common types of searches users conduct on both Google and ChatGPT. The same product discovery intent — looking for appliances, food, household goods, apparel — that drives retail’s dominance on Google is present in ChatGPT conversations. Additionally, retail brands tend to have well-developed advertising operations that allow them to enter new channels quickly.
How much does it cost to advertise in ChatGPT? OpenAI has confirmed a minimum advertiser commitment of $200,000 to participate in the current beta pilot. The CPM (cost per thousand impressions) is approximately $60. These figures apply to the current controlled pilot phase. As the program expands and ad-tech partners like Criteo integrate, lower-threshold buying options are expected to become available.
Do ChatGPT ads influence the answers the AI gives? No. OpenAI has stated explicitly and publicly that ads do not influence ChatGPT’s responses. The system selects and displays an ad after generating the organic answer, and the ad is clearly labelled as “Sponsored” and visually separated from the response. The answer ChatGPT provides is optimised solely on what is most helpful to the user.
What data do advertisers receive about ChatGPT users? Advertisers receive only aggregated performance data — specifically, the number of views and clicks their ads generate. They have no access to individual user conversations, chat history, memory data, or personal user details. OpenAI’s advertising system targets by conversation topic rather than by user identity.
How does ChatGPT decide which ad to show a user? OpenAI’s system matches ads to conversations based on three inputs: the topic of the current conversation, the user’s past chat history, and the user’s past interactions with ads. When multiple advertisers’ creatives are eligible, the system selects the ad with the highest contextual relevance to the current conversation.
Which major brands are not yet participating in ChatGPT ads? Sensor Tower’s analysis specifically noted that Amazon, Costco, Walmart, and Apple had not participated in the pilot as of the observation period. Amazon operates its own advertising ecosystem, and Walmart has invested in its own retail media network, Walmart Connect. Apple’s advertising posture, shaped by its App Tracking Transparency framework, may also explain its absence.
What is Criteo’s role in ChatGPT advertising? On March 2, 2026, Criteo announced it had become the first ad-tech partner to integrate with OpenAI’s ChatGPT advertising pilot. The integration enables brands working with Criteo’s platform to access ChatGPT ad placements through an existing programmatic relationship, potentially lowering the direct commitment required to participate. Criteo manages over $4 billion in annual media spend globally.
Are ChatGPT ads shown near sensitive topics? No. OpenAI has stated that ads are not eligible to appear near conversations about health, mental health, or politics during the current pilot phase. The company has committed to expanding these exclusions responsibly as safeguards mature.
How is ChatGPT advertising different from Google Search advertising? Google Search ads appear alongside search results, competing visually with organic listings and targeting users by keyword at the moment of a search query. ChatGPT ads appear below a completed AI-generated answer, are targeted by conversational topic rather than keyword, and involve a user who has already received a response and is presented with a relevant next step. The formats serve different moments in the decision-making process and require different creative approaches.
What is the user’s level of control over ChatGPT ads? Users can dismiss individual ads, access an explanation of why a specific ad was shown to them, view their full ad history, delete their ad interaction data in a single tap, and toggle ad personalisation off at any time. Free tier users can also opt out of ads entirely in exchange for a reduced daily message allowance.
What types of queries trigger ChatGPT ads? Ads appear when the conversation topic aligns with an advertiser’s submitted creative. A user planning a potluck dinner may see an ad for a grocery delivery service. A user asking about countertop appliances may see a retail ad. A user researching audio books may see an Audible placement. The format is designed to surface at moments of product or service discovery intent.
What does ChatGPT advertising mean for brands not yet using the platform? Even without paid advertising in ChatGPT, brands appear in ChatGPT’s organic responses based on the quality and authority of their digital presence, product data accuracy, and content structure. Brands should invest in Generative Engine Optimisation (GEO) — the process of making content and product information accessible and trustworthy enough to be cited in AI-generated responses — in parallel with monitoring the paid advertising landscape as it develops.
Is ChatGPT advertising available outside the United States? The current pilot is US-only. OpenAI has indicated it will expand responsibly as safeguards mature and the test generates actionable feedback. No specific timeline for international expansion has been confirmed.
What agencies are involved in the ChatGPT advertising pilot? Three of the world’s largest advertising agency groups — WPP Media, Dentsu, and Omnicom — have confirmed participation in the ChatGPT advertising pilot. WPP Media represents confirmed clients including Adobe, Audible, Ford, Mazda, Mrs. Meyer’s, and Audemars Piguet. Dentsu has confirmed clients across grocery, hospitality, retail, software, travel, and CPG. Omnicom has confirmed participation across apparel, automotive, beauty, CPG, technology, telecommunications, hospitality, retail, and fast food, without naming specific brands.
Will ChatGPT advertising eventually replace Google Search advertising? The current evidence does not support a replacement thesis. It supports an addition thesis: ChatGPT advertising represents a new format at a new moment in the customer journey — the conversational discovery phase — that is distinct from keyword-intent capture in Google Search. Brands with budgets to test both should do so. The eventual share of total digital ad spend that flows to ChatGPT will depend on the platform’s ability to develop performance measurement tools that satisfy ROI-driven budget allocation decisions.
The data from ChatGPT’s first month of advertising tells a straightforward story: the channel is replicating the advertiser category distribution of Google Search because it is, in part, absorbing the same user queries that Google Search has served for two decades. Retail brands moved first because they were best prepared and because their use case — product discovery — fits the format most naturally. The minimum commitment threshold, the absence of major players like Amazon and Walmart, and the still-limited geographic scope are all characteristics of an early-stage pilot, not a mature channel. What is not early-stage is the user base: hundreds of millions of people are already consulting ChatGPT for decisions that include purchases, and that behaviour will only expand as AI assistants become more capable and more embedded in daily life. The brands and agencies investing in understanding this channel now, whether through the paid pilot or through the longer-term work of AI visibility optimisation, are building infrastructure for a shift in how consumers discover and evaluate products that is already underway.
About ALM Corp
ALM Corp is a data-driven digital marketing and AI strategy consultancy helping brands navigate the intersection of emerging technology and commercial performance. As AI platforms like ChatGPT, Perplexity, and Google Gemini reshape how consumers discover products, compare options, and make purchasing decisions, ALM Corp works with retail, e-commerce, and consumer brands to build visibility across both traditional search and AI-generated responses. Our services include Generative Engine Optimisation (GEO), AI-ready content strategy, paid media planning across emerging platforms, and performance measurement frameworks designed for a post-cookie, AI-first advertising environment. The shift of product discovery from keyword search to conversational AI is precisely the space ALM Corp helps brands enter with clarity, structure, and measurable results. For brands evaluating ChatGPT advertising, assessing their current AI search visibility, or preparing for the next phase of the channel’s expansion, ALM Corp provides the strategic and technical capability to act with confidence. Learn more at www.almcorp.com.
