In short: AI in digital marketing speeds up the work that repeats: first drafts, ad variants, sorting enquiries and summarising data. It does not decide what the business needs to achieve, who you are talking to or whether ad spend comes back as revenue. That is why the value for a company depends less on the tool and more on three things: a clear goal, data you can trust and a person who checks every output.
What is AI in marketing, really?
Generative models are trained on a vast number of examples and use them to produce text, images or code that is a likely answer to the task. They know nothing about your business, your customers or your terms unless you give them that information. Nor can they check on their own what is true. That is how they sometimes write a fluent, confident sentence that is simply wrong.
In marketing it helps to separate two kinds of AI:
- Generative AI you use directly: you write a prompt in a tool such as ChatGPT and get text or an image back. The person who wrote the prompt and approved the output is responsible for it.
- AI built into advertising platforms: in Google Ads and Meta Ads Manager it decides who sees an ad and how much to bid for each impression, based on the signals the platform receives, including signals from your site. Here the person who defined what the platform counts as a result is responsible.
The difference matters in practice. A mistake in generated copy shows when you read it. A mistake in built-in AI only shows in the report, after the budget has been spent.
Where does it help in day-to-day work?
The benefit is clear wherever a task repeats, follows a pattern and a person can check the output easily.
- Drafts and variants of copy: product descriptions, several versions of an ad headline, email subject lines. A person chooses, edits and owns the final text.
- Organising information: grouping by topic the questions customers ask by phone or in their enquiries. This shows you what your site does not explain well.
- Variants to compare: when you want to test which of two messages brings more enquiries, a model can quickly suggest the second version. The numbers decide which one stays, not the model.
- Summaries: a short summary of a long report, meeting or document, which is then checked against the source.
- Answers to recurring questions: a chat assistant on the site can handle simple questions, provided it answers only from verified information and passes complex cases to a person. We explain how to prepare one in our article on an AI chat assistant for enquiries.
What these tasks have in common is that AI saves time on the first version, while quality depends on the person who decides what stays.
ScaleLab tip: Before you bring AI into a task, measure how long that task takes today. Without that number, a month from now you will not know whether you saved time or simply added more text to check.
What changed in 2026, and what does it mean for your business?
The tools move quickly, so here we only list changes that directly affect a company’s marketing. All of them are as of September 2026, and their terms may change. One new advertising channel gets its own article: advertising in ChatGPT.
- Search: since October 2025, AI Mode in Google Search has been available in Bulgarian as well as many other languages. Some people get a summarised answer before they reach a website. Our article on AI search optimisation explains what helps you become a source for those answers.
- Google advertising: at Google Marketing Live on 20 May 2026, Google announced upgrades to AI Max for Search and Shopping, a Gemini agent called Ask Advisor that spans Google Ads, Google Analytics, Merchant Center and Google Marketing Platform, and Asset Studio for creating ad creative with Gemini.
- Meta advertising: on 23 June 2026, Meta presented a feature that learns a brand’s identity from its existing ads, more text generation and languages in Ads Manager, and a creative approval workflow that is still being tested.
- The rules: from 2 August 2026, the transparency duties under Article 50 of the EU AI Act apply. Chatbots must tell people they are talking to AI, and deepfakes must be labelled.
The good news is that none of these changes overturns the basics. Built-in advertising AI still learns from the signals you send it. AI Mode still draws on websites as sources, and our article on fewer clicks from Google explains what that means for your visits. The law still expects a person to be accountable for what the company publishes.
| Task | How AI helps | What stays with people |
|---|---|---|
| Ad copy | Quick variants of headlines and descriptions | The choice, fact-checking and tone |
| Ad creative | First versions and format adaptations | Brand fit and rights to the material |
| Ad bidding | Allocates budget based on signals | What counts as an enquiry or order |
| Website chat | Answers simple questions around the clock | Verified information and complex cases |
| Reports | Summarises and organises data | Deciding what continues and what stops |
What stays with people?
A model can suggest ten messages, but it cannot choose the one that matches how your business wants to be seen. The decisions that set the direction stay with people:
- Customers: which customers matter to the business and which do not.
- Promises: what you promise and what you deliberately do not promise.
- Budget: how it is split between channels.
- Stopping: what you end when it does not deliver.
- Compliance: whether claims are true and permitted, especially in sectors with advertising rules such as finance or pharmaceuticals.
One more point is often missed, especially with copy in Bulgarian. Text written by a model often sounds translated: foreign word order, phrasing borrowed from English or Russian, and a form of address that switches between formal and informal within the same paragraph. Customers notice this even if they cannot name it. That is where the difference lies. Editing by a person who writes the language well is part of the work, not an extra.
What are the risks, and how do you limit them?
Wrong facts, stated with confidence
A model can invent a product feature, a deadline, a condition or a rule that does not exist. Have every fact in text published in the company’s name checked by a person who knows the answer.
Content that all looks the same
When companies in one sector use the same tools in the same way, their content starts to look alike. Readers do not care what a text was written with, only whether it answers their question. Concrete examples, real terms and a clear position do not come from the model. They come from you.
Personal data and confidential information
Before you enter customer data, contracts or internal financial reports into an AI tool, check how the provider uses the information and whether that fits your data protection obligations. When in doubt, work with data that cannot be traced back to a specific person.
Being transparent with people
If your site has a chat assistant, it should say clearly that it is AI, unless that is obvious from the context. If you publish an AI-generated image or video that looks like a real person or event, label it. Exactly when these duties apply depends on the case. This is not legal advice, so speak to a lawyer if you are unsure.
Automation that learns the wrong thing
This risk often goes unnoticed, and it is expensive. Advertising platforms learn from the signal you send them. If your site records every tap on the phone button as an enquiry, even when no call follows, the platform will learn to deliver more taps, not more customers. The better the automation works, the faster it pushes the budget in the wrong direction.
ScaleLab tip: Before you switch on automated bidding or new AI features in Google Ads or Meta, send a test enquiry through your site and check that it is recorded exactly once. Only then raise the budget.
How do you start without wasting time or money?
1. Start from the goal, not the tool
Write down what needs to change: more enquiries, a lower cost per enquiry, faster replies to customers or less manual work for the team.
2. Check your data and tracking
If you do not know for certain how many enquiries or orders come from the site and from which channel, you have no way of telling whether AI is helping. If you want an outside view of your tracking and site, a free marketing audit is a good starting point.
3. Choose one task that repeats every week
Describe how it is done today and how long it takes, so you can compare afterwards.
4. Decide who checks the output
Every text, answer or analysis created with AI has a person who approves it and is accountable for it.
5. Decide what you will not hand to a machine
Promises to customers, prices, terms, replies to complaints and anything involving personal data stay with people.
6. After a month, judge honestly
If the task has not become faster or better, stop and try a different one. AI will not turn poorly thought-out marketing into good marketing, but it can make well thought-out marketing faster.
When marketing involves several channels and different contractors, the place of AI is not decided channel by channel but in one overall plan. That plan is the core of integrated digital marketing: the business goal comes first, and the channels and tools are chosen after it.
Frequently asked questions
Can AI replace a marketing team?
No. It speeds up first drafts, data organisation and repetitive tasks. Decisions about customers, promises, budget and fact-checking stay with the people who are accountable for the result.
Do I have to label copy written with the help of AI?
From 2 August 2026, the AI Act requires chatbots to disclose that they are AI, unless that is obvious from the context, and deepfakes to be labelled. AI-generated text on matters of public interest must be disclosed unless a person has reviewed it and takes editorial responsibility. It depends on the case, and this is not legal advice.
Is it safe to enter customer data into ChatGPT or similar tools?
Check the provider’s terms on how entered information is used and whether they fit your data protection obligations. When in doubt, work with data that cannot be traced back to a specific person.
Where should I start if I have not used AI in marketing before?
Start from the business goal and a check of your tracking. Then choose one repetitive task, measure how long it takes today and compare after a month.
Sources
- Search Engine Roundtable: Google AI Mode expands to more languages and countries (October 2025)
- Google: Google Marketing Live 2026 (20 May 2026)
- Meta for Business: Cannes Lions 2026 announcements (23 June 2026)
- Gibson Dunn: EU AI Act Omnibus agreement, postponed high-risk deadlines and other key changes
- Usercentrics: EU AI Act high-risk delay and Article 50 transparency