AI marketing is heading toward a world where AI assistants answer more of the questions customers used to type into search engines, brands own digital characters instead of renting attention from creators, short video is produced at the same volume as text, creative is personalised for each audience, disclosure rules for AI content become clear and enforced, and the brands that win connect every channel into one learning system. The common thread is that production stops being the bottleneck. When anyone can generate content, what stays scarce is strategy, distinctiveness, trust and the ability to learn faster than competitors.
The short version
- AI answers become a major search surface. Being cited by assistants matters as much as ranking on Google
- Owned characters replace rented attention. Brands build digital ambassadors they control for years
- Video becomes as easy as text. Short-form video at scale becomes normal for every brand
- Creative gets personal. Messages and visuals adapt to each audience and context
- Disclosure becomes standard. Clear labelling of AI content is expected and enforced
- Distinctiveness becomes the scarce resource. When content is cheap, a recognisable brand is what stands out
Trend 1. AI assistants become a front door to brands
People increasingly ask ChatGPT, Claude, Perplexity, Gemini and Google's AI Overviews what to buy, which provider to choose and how to solve problems. These assistants summarise the web and recommend a handful of options. For brands, that creates a new kind of visibility. If an assistant does not mention you, you are invisible to that customer.
What this means in practice is that websites need clear, structured, answer-first content, consistent business information and structured data. AI crawlers need access. Brands need mentions on trusted sites, because assistants reflect consensus. And measurement must include checking what assistants say about you. Our guide on getting recommended by ChatGPT and AI search covers the steps.
Trend 2. Owned characters replace rented attention
Traditional influencer marketing rents attention from creators for a campaign at a time. As AI characters become indistinguishable in quality, more brands are building their own, digital ambassadors who appear across social media, product pages, ads and customer service for years. An owned character is an asset whose value grows with every post, never goes off-script and can appear in every market at once.
Roster characters will remain important for speed and reach, and human creators for lived experience. The direction is toward brands owning more of their faces and voices.
Meet the SI influencers who could front your campaign
Trend 3. Video becomes as easy as text
Generative video has moved from short experiments to usable short-form content in a few years. As quality, length and control improve, producing a video will become nearly as quick as writing a caption. The effects are significant. Every product can have demonstration videos. Every campaign can test dozens of video variations. Every market can receive localised video with native speech. And customer service, onboarding and education can move to video. The brands that benefit most will be those with clear visual identities and characters, because volume without identity is noise.
Trend 4. Personalised creative at scale
Personalisation used to mean inserting a first name in an email. AI makes it possible to adapt the whole creative, including imagery, setting, message, language and offer, to different audiences, regions and moments. A travel brand can show a beach scene to one audience and a mountain scene to another, both with the same character and campaign idea. The challenge will be doing this respectfully, using data customers knowingly share and avoiding the feeling of being watched.
Trend 5. Disclosure and regulation mature
As AI content becomes common, rules are becoming clearer. Platforms are expanding labels for realistic AI-generated content, advertising standards authorities are applying existing rules on misleading advertising to AI, and new laws in several regions address transparency for AI-generated media. Brands that already disclose AI characters and content clearly will adapt easily. Those that rely on ambiguity will face penalties and reputational risk. Proklisi discloses every SI influencer as AI, which is where the industry is heading.
Trend 6. Search and social converge
Search is no longer only Google. People search TikTok for recommendations, YouTube for how-tos, Instagram for places to eat, app stores for apps and AI assistants for everything. Visibility strategy is broadening from SEO alone to discoverability everywhere people look, which connects SEO, ASO, social media and AI search into one discipline.
Trend 7. Marketing becomes a learning system
When content is cheap to produce, the advantage shifts to how fast a brand learns. The most effective marketing teams will run connected systems in which research informs content, content is tested across channels, results feed back into the next round and every campaign is smarter than the last. That is the idea behind SI, Proklisi's Super Intelligence approach, which connects strategy, creation, distribution and measurement. Read what SI marketing is for more.
Trend 8. Distinctiveness becomes the scarce resource
The more content AI produces, the more of it looks the same. Generic stock-style images, interchangeable captions and copycat videos will flood every feed. Audiences will scroll past them faster than ever. What will stand out is distinctiveness, meaning a recognisable visual identity, a memorable character, a clear point of view, genuine expertise and real customer proof. Investing in brand identity is becoming more valuable, because AI multiplies whatever identity it is given.
Want a partner for all of it?
Website, app, SEO, ASO, social and SI influencers under one roof, with one plan and one team accountable for growth
Trend 9. Commerce moves into conversations and content
Buying is moving closer to where attention is. Shoppable videos, in-app checkout on social platforms, purchases started inside AI assistants and messaging-based sales through WhatsApp and similar apps all shorten the path from discovery to purchase. For brands, the implication is that product data, prices, availability and reviews must be accurate and machine-readable everywhere, because assistants and platforms increasingly act on that data directly. A brand whose product information is inconsistent across its website, marketplaces and listings will lose sales to one whose information is clean.
Trend 10. Measurement changes shape
As more discovery happens inside AI answers and social platforms, clicks become a less complete measure of influence. Brands will lean more on branded search growth, direct traffic, customer surveys, controlled tests and modelled attribution to understand what is working. The teams that adapt their measurement early will make better budget decisions while others are still chasing last-click numbers.
What will stay human
Some parts of marketing will become more valuable as AI spreads. Strategy and positioning will matter more, because someone has to decide what the brand stands for. Taste and creative judgement will decide which of a thousand generated options is worth publishing. Relationships with partners, customers and communities will remain personal. Ethics and accountability will rest with people. And genuine expertise and experience will be what audiences and search engines look for most.
How to prepare your brand now
- Make your website AI-readable, with answer-first content, structured data, an llms.txt file and open access for AI crawlers.
- Define a distinctive identity, with a visual system, a voice and, ideally, characters people recognise.
- Build a content system, with templates, references and review, so AI production stays on brand.
- Invest in video, starting with short-form formats on your main platforms.
- Connect your channels and data, so every campaign teaches you something.
- Disclose AI content clearly and keep claims honest.
- Measure visibility everywhere people search, including AI assistants, social search and app stores.
Risks to watch
- Content overload, where brands publish more but say less.
- Homogenised creative, as everyone uses similar tools in similar ways.
- Trust erosion, if audiences feel deceived by undisclosed AI.
- Over-personalisation that feels intrusive.
- Dependence on platforms and assistants whose rules and algorithms change.
Brands that manage these risks well will turn AI into a lasting advantage.
A day in the marketing team of 2027
Picture a mid-sized brand's marketing team a year from now. In the morning, an AI summary shows overnight results across search, social, the app stores and AI assistants, with three suggested tests. The team picks two, approves a brief and generates video variations featuring the brand's own digital ambassador in four languages. A strategist reviews what assistants currently say about the brand and updates two website pages to answer new questions clearly. In the afternoon, the team reviews and approves the day's content, which is scheduled and personalised for different audiences automatically. By the end of the day, the system has learned which hook works best in each market. The team spent most of its day on decisions, judgement and ideas, and very little on production logistics.
How fast is this happening?
Faster than most marketing changes before it. AI image generation went from novelty to everyday tool in a few years, video is following, and AI assistants have become a regular way of searching for millions of people. Not every prediction here will arrive on the same schedule, and some will take longer in regulated industries. The direction is clear, though, and the brands that start adapting now will have their systems, characters and content in place by the time their competitors begin.


