Social Rocket
Update from 26 October 2026: The British Daily Mail is also testing GEO offers for advertising clients: according to the company, around 12 to 15 tests are running in several markets. In a case described by Digiday, brand visibility for selected AI prompts is said to have risen from roughly 50 to 75 percent. This is a provider claim that has not been independently validated and is limited to specific prompts, not evidence of additional purchases or organic recommendation. A regular offer is only being considered for 2,027. Source: Digiday from 26 October.
Publishers are building a new advertising product from their reach in AI answers: at the Digiday Publishing Summit in September 2026, Future reported that its GEO offer Future Optic now has more than 30 customers and is seeing first renewals. In Germany, iq digital is now pursuing the same basic idea with GEO Vision: brands are to become more visible in generative search and answer systems in a targeted way.
The notable point is not only that publishers are optimising their content for AI. They are beginning to sell AI visibility as a marketable service for advertising clients.
Future Optic has more than 30 customers
Digiday reports from the Publishing Summit in Miami that Future now sells its GEO product Future Optic to more than 30 customers and is already seeing renewals.
Future measures primarily brand presence and publisher citations in AI answers. At the same time, the company concedes that the most important question remains open: how strongly does greater visibility in ChatGPT, Gemini or other AI systems actually lead to purchases or better brand impact?
This is a decisive difference from classic performance marketing. Visibility can be counted, but attribution remains considerably harder.
In its half-year figures 2026, Future had already stated that Future Optic contributes directly to results. The company describes the product as tailored generative AI optimisation for brands and explicitly names AI visibility as a new revenue source.
GEO is also becoming a media product in Germany
Only a few days before the summit, iq digital launched GEO Vision. The German marketer combines four building blocks: journalistic context, GEO-optimised content, technical machine readability and visibility measurement.
The offer is explicitly aimed at advertising clients who want to anchor brand and product topics in AI-generated answers. iq digital markets reach around media brands including FAZ.NET, Handelsblatt, DER SPIEGEL, Süddeutsche Zeitung, DIE ZEIT and WirtschaftsWoche, among others.
This shifts part of the classic native advertising and content marketing business in a new direction: a piece is meant not only to reach readers, but also to be structured and placed so that AI systems recognise it as a relevant source and cite it.
Publishers monetise authority, not just traffic
The trend emerges against the backdrop of falling search referrals. At the Summit, USA TODAY Media said Google's share of referral traffic had dropped from more than 70 percent a few years ago to around 40 percent. The Verge now treats Google traffic more as a bonus than as a reliable foundation.
This fits with the development we already described in "Post-Google: USA Today and NYT restructure audience teams for AI search".
As traditional search reach becomes less reliable, two things gain value: direct user relationships and a publisher's authority as a source for AI systems. GEO products are trying to monetise exactly this second position.
AI Visibility becomes its own budget question
A new budget category is therefore emerging for advertisers. GEO Vision explicitly describes itself not merely as an add-on to content marketing, but as a standalone product for SEO- and GEO-oriented campaign budgets.
Other publishers and media sellers are experimenting with similar offers too. However, that does not mean GEO already achieves the same measurability as search ads or paid social.
Open attribution is currently the biggest weakness: a company can measure whether it appears or is cited in AI answers. It is harder to prove what share of this visibility contributes to leads, sales or brand lift.
Our guide to ChatGPT recommendations and AI Visibility shows which factors can already influence brands today.
Daily Mail shows the limits of early GEO success reports
According to Digiday, the Daily Mail is examining in 12 to 15 campaigns how brands can be placed and measured in AI answers. The example of a financial brand whose visibility is said to have risen from about 50 to 75 percent across a limited selection of search queries initially raises measurement questions: How were the prompts selected? How often and with which model was it measured? Was there a control group, and how stable are the results over time and across users? The figures come from an ongoing vendor test and do not prove any additional conversions.
The IAB framework for measuring AI Visibility distinguishes presence and positioning in answers from genuine marketing effects. Google's Search Console documentation for AI Overviews and AI Mode also records access within web search: without supplementary experiments, this is neither a clean share of paid GEO measures nor a causal revenue measurement. Advertising and editorial content must remain transparently distinguishable for customers and readers. Only then do reach promises become verifiable marketing KPIs.
What marketers should take away
It is becoming more important for brands to distinguish between three levels:
1. Own GEO work: content, technical accessibility, structured data and citable evidence on your own website. 2. Earned visibility: mentions and sources on independent, trustworthy websites. 3. Paid GEO: paid publisher products that specifically prepare content and visibility for AI systems.
The third category in particular is still in an early phase. Anyone spending budget on it should therefore not simply accept a general "AI Visibility Score", but first clarify which prompts, sources, models and business outcomes are actually being measured.
How strongly publishers are simultaneously rebuilding their classic traffic models is also shown by our articles on rising paid search spending among publishers and on Axios Direct as a news feed for AI agents.