Written by Julien Ricciarelli-Bonnal
29 August 2026
The Essentials
For twenty years, digital marketing has largely been about securing a place in the customer’s field of vision: Google, comparison sites, marketplaces, social platforms and advertising. AI assistants introduce a new stage. Users no longer always compare twenty solutions themselves; they can ask directly which ones are worth considering. The selection therefore begins before the click, sometimes before the brand has had any opportunity to present its own case. The next marketing challenge may no longer be only about visibility or ranking, but about being credible, identifiable and relevant enough to enter the shortlist built by the machine.
For a long time, brands could summarise much of their digital battle with a relatively simple question: how do we appear when the customer starts looking? They needed to rank in Google, occupy the right queries, show up in comparison sites, invest in marketplaces, work their social channels and sometimes pay for a few extra positions or a few more seconds of attention.
That system was already complex, but its logic remained clear. Customers saw several options, opened pages, compared prices, read reviews, switched between tabs and gradually built their own shortlist. Brands were therefore competing for a place inside the comparison process.
AI assistants are moving part of that competition upstream. When a user asks which solution to choose, which tool is worth the money or which brand best fits a specific need, they can receive a small number of synthesised recommendations immediately. Comparison has not disappeared, but it can now begin only after an initial filter has already taken place.
For companies, that difference is significant.
Comparison Is Starting to Disappear Behind Recommendation
A traditional search engine gives access to a visible market. Even when the algorithm favours certain results, users can still scan the page, open several links, reformulate the query and gradually discover companies they had never heard of before. The search engine organises access to comparison, but it does not complete the entire comparison on the customer’s behalf.
An AI assistant can go further. It can interpret the need, take into account constraints expressed throughout the conversation, exclude options considered too expensive, too complex or poorly suited, then present a reduced selection with clear reasons for each recommendation. For the user, the time saving is obvious. They may no longer begin with twenty brands but with three or four solutions already framed as relevant.
This changes the meaning of visibility. A company can maintain strong rankings, solid paid visibility and a well-optimised website while still remaining absent from the first selection generated by the assistant. It still exists in the market, but it may never enter the customer’s consideration set.
The difficulty is that this exclusion may happen without any obvious signal for the brand. There is not necessarily a ranking showing whether it came fourth, tenth or nowhere at all. It may simply be missing from the initial answer that then shapes the prospect’s subsequent research.
For twenty years, brands have tried to be chosen by the customer. They may now have to start by making sure they are not eliminated before the customer even gets the chance.
Being Visible Will No Longer Be Enough if the Brand Is Not Recommendable
Search optimisation has traditionally rewarded the ability to match a page with an intent. AI assistants add another requirement: when they are asked to recommend a solution, they must also be able to understand why one brand deserves to be proposed instead of another.
That gives particular importance to positioning. A company that explains poorly what it does, who it serves and how it differs from competitors can remain perfectly discoverable while still being difficult to include in a precise recommendation. A generalist, ambiguous or inconsistent brand can be harder to select than a smaller competitor whose proposition is immediately understandable.
External reputation also matters more. A company can obviously describe its own product as excellent, reliable or innovative. A credible recommendation, however, needs to draw on other signals as well: reviews, articles, comparisons, testimonials, professional discussions, sector reputation, specialist sources and the consistency of information available elsewhere.
The marketing challenge is therefore not simply to produce more content designed to influence machines. The deeper issue is to build enough coherent signals for the brand to be correctly understood and positioned inside its market, even when the assessment is based on sources the company does not directly control.
For companies looking to build visibility around a clear positioning, a coherent reputation and an identifiable presence across their wider digital ecosystem, the task increasingly extends beyond their own websites. The machine does not judge only what the brand says about itself, but what the surrounding digital environment allows it to reconstruct.
The Brand’s Argument May Be Summarised Before the Prospect Ever Meets It
This evolution creates another major shift: brands lose part of their control over the first presentation of their offer. In a traditional journey, the prospect arrived on a landing page, product page or commercial asset specifically designed to shape perception. The company decided which benefits to highlight, which proofs to show and in what order the arguments should appear.
An AI assistant can now intervene before that encounter. It can explain the strengths of the solution, its limitations, its pricing, the types of users it suits and the reasons why a competitor may be preferable. The customer can therefore arrive on the website with an already structured view of the brand, built from multiple sources.
That is not necessarily negative. A genuinely strong brand can benefit from an external recommendation that carries more credibility than its own commercial messaging. If customers are satisfied, the positioning is clear and the reputation is solid, the assistant may become a new intermediary capable of sending prospects who are already relatively convinced.
But the opposite is also true. Brilliant commercial communication will not always compensate for a mediocre reputation, a poorly understood offer or contradictory information scattered across the web. A prospect may encounter those weaknesses before ever seeing the official version of the company.
The customer journey can therefore begin somewhere other than the brand itself. More importantly, it can begin with a synthesis that the brand neither wrote nor approved.
The Battle May Shift From Attention to Algorithmic Consideration
For years, digital marketing has been built around the scarcity of attention. Brands needed the headline that generated the click, the advertisement that interrupted the scroll, the video that held attention for a few seconds longer or the page that occupied the best position. A brand first had to be seen before it could hope to be considered.
AI assistants introduce a different scarcity: the scarcity of selection. An answer recommending three solutions cannot mention fifty. The more the interface is designed to simplify the decision, the more it has to reduce the number of options presented, and the more valuable a place on that shortlist becomes.
This may change some marketing priorities. A well-known brand with unclear positioning may be harder to recommend than a smaller company that fits the query perfectly. At the same time, awareness and reputation may become extremely powerful signals when several solutions look technically similar.
Performance is therefore unlikely to be won through a single recipe called GEO, AI SEO or assistant optimisation. Systems capable of cross-checking a growing number of sources will be difficult to influence sustainably through a few carefully inserted phrases on a website. The fundamentals may instead become more important: understandable value proposition, demonstrable expertise, external reputation, customer satisfaction, consistent information and credible editorial presence.
AI may ultimately make an old truth much more visible: a brand that nobody recommends will increasingly struggle to convince a machine to recommend it.
Companies Will Need to Monitor What AI Actually Understands About Them
This transformation also creates a new measurement problem. Companies already have precise indicators for SEO, advertising, social media and marketplaces. They can measure impressions, positions, clicks, conversions and, in some cases, attribute part of their revenue to individual channels.
Presence inside AI answers is much harder to interpret. Being mentioned frequently may look positive, but companies still need to understand in what context, for which queries, for which kinds of users and, above all, with what perception. A brand can be highly visible while repeatedly being described as more expensive, less suitable or less capable than a competitor.
The issue therefore goes beyond counting mentions. Companies will need to understand the narrative being built around them: which attributes are associated with the brand, which competitors appear beside it, in which situations it is recommended and for what reasons it may be excluded.
This should not lead companies to rewrite their entire strategy to satisfy AI assistants. A business still needs to remain coherent with its market and customers first. But it can no longer ignore how systems used to prepare purchases and decisions reconstruct its positioning from the web.
Marketing May Start Before the Customer Even Enters the Market
AI assistants will not eliminate Google, comparison sites, marketplaces or human recommendations. Customer journeys will remain varied, and people will often continue to verify recommendations themselves before making an important decision.
What is beginning to change is the order of the steps. Some customers can now start by asking a machine which options deserve to be considered, then investigate only the brands that make the cut. The shortlist is no longer necessarily the result of the research process; it can become its starting point.
That changes the position of marketing. A company no longer needs only to be persuasive when the prospect arrives on its website. It must have built enough reputation, coherence and proof well before that visit to deserve being presented to the prospect in the first place.
Brands will obviously continue competing to be chosen. But before that battle, another one is emerging: the battle over who gets the right to enter the comparison at all.
We support companies that want to strengthen their positioning, visibility and reputation so they remain identifiable across the new search and recommendation journeys.
Written by Julien Ricciarelli-Bonnal
29 August 2026
