Short answer: an AI and marketing agency should start with your business problem, not with a tool. Before hiring, check that it can prioritise, that it knows your channels, that it shows evidence of real work without promising results, that it defines measurement from day one, that it protects brand, data and human oversight, and that it transfers capability to your team.
What an AI and marketing agency actually does
The term "AI agency" is used today for very different things. In practice, a serious agency combines three layers: marketing strategy (who you speak to, with what offer and in which channel), execution (campaigns, content, website, automations) and an artificial intelligence layer that accelerates that execution and helps read the data.
AI applied to marketing does not replace judgement: it organises repetitive work. It helps classify and enrich databases, generate ad and content variants that a human then edits, summarise sales conversations, prioritise opportunities and answer frequent questions on channels such as WhatsApp with clear rules for escalating to a person.
In sales, the value is continuity: a lead arriving at 10 p.m. gets a reply, is qualified with basic questions and reaches the commercial team with context. In marketing, the value is iteration speed: more hypotheses tested per month with the same team.
When it makes sense to hire one
- When the channel works but does not scale. You have demand, yet manual management caps growth.
- When leads are lost to slow response times. The problem is not capture, it is attention.
- When there is no reliable measurement. Budget is spent without knowing which campaign creates real conversations.
- When the internal team is saturated. You need capacity and method, not just more hours.
- When data is dormant. An unused historical customer base is often worth more than a new channel.
It does not make sense if the value proposition is still unclear or the product has no proven demand: AI amplifies what already exists, it does not invent it.
Seven criteria for comparing agencies
1. Problem before tool
If the first meeting revolves around software rather than your funnel, that is a bad sign. The useful conversation starts with the bottleneck: acquisition, qualification, closing or retention.
2. Ability to prioritise
Every company has twenty possible initiatives. A good agency tells you which three to do first and why, and states explicitly what it is leaving out.
3. Real knowledge of your channels
Google Ads, SEO, LinkedIn, email and WhatsApp follow different logics. Ask about concrete decisions made in that channel, not for a list of services.
4. Evidence without promises
Look for verifiable examples of work: campaign structures, processes, assets, flows. Be wary of guaranteed results; nobody controls the market, the competition or your internal operation.
5. Measurement defined from the start
Before launching there must be agreement on what is measured, with which tool, how often and what counts as a valid conversion. Without that, any later report is interpretation.
6. Brand, data and human oversight
AI must write inside your brand voice, not outside it. And there must be a clear policy on which data goes to which systems, who reviews before publishing and how an error is corrected.
7. Capability transfer
A good relationship leaves you better prepared: documentation, accounts in your name, templates and basic team training. If you cannot operate anything when it ends, you bought dependency, not capability.
Services you can expect
| Service | What it includes | What you should receive |
|---|---|---|
| Strategy and diagnosis | Funnel, audience and channel analysis | Priorities and a phased work plan |
| Paid advertising | Google Ads, search and remarketing campaigns | Campaign structure and optimisation criteria |
| Content and SEO | Content architecture, writing and review | Calendar and assets aligned with search intent |
| Website and conversion | Landing pages, forms, speed | Prioritised improvements and conversion tracking |
| AI applied to sales | Qualification, summaries, lead prioritisation | Documented flows with human oversight |
| WhatsApp and customer care | Automated replies, escalation, templates | Routing rules and agreed response times |
| Data and measurement | Analytics, events, reporting | A dashboard with agreed metrics and definitions |
Ten questions before hiring
- What specific problem do you think we have, and what is that based on?
- What would you do in the first 30 days, and what would you postpone?
- How do you define a valid conversion in our case?
- Which part of the work is done by AI and which part is reviewed by a person?
- What data of ours do you need, and where is it stored?
- Who runs the day-to-day work, and how often do we talk?
- How do you keep the brand voice in generated content?
- What happens if we see no progress on the agreed metrics in three months?
- Do accounts, access and assets stay in our name?
- What do you need from our team for this to work?
Red flags
- Guaranteed rankings, leads or revenue with fixed figures.
- Identical proposals for very different sectors.
- Ad accounts or domains registered in the agency's name.
- Reports with no metric definitions and no access to the data source.
- Content generated and published without editorial review.
- Lack of clarity about personal data handling.
- A single salesperson who disappears after signing.
A practical decision matrix
Score each agency from 1 to 5 on these six axes and compare the whole picture, not a single factor.
| Axis | What to observe | Suggested weight |
|---|---|---|
| Business understanding | The questions asked in the first meeting | High |
| Method | Phases, deliverables and decision criteria | High |
| Measurement | Definitions agreed before starting | High |
| Channel experience | Concrete decisions, not service lists | Medium |
| AI and data governance | Oversight, permissions, traceability | Medium |
| Transfer | Documentation, access and training | Medium |
Frequently asked questions
How long should a collaboration last?
It depends on the channel. Paid advertising gives readings within weeks; SEO and content need months. The sensible approach is agreed milestones and review points rather than long contracts with no exit.
Who owns the data and the accounts?
Your company. Ad accounts, domains, analytics and databases should be in your name, with the agency as an invited user.
Does AI replace my marketing team?
Not in practice. It reduces repetitive work and speeds up drafts, but judgement, client relationships and the decision about what to publish remain human.
How is brand voice maintained?
With a written tone guide, approved examples and a mandatory review step before publishing. If that guide does not exist, creating it is part of the initial work.
Next step
If you are evaluating agencies, the most useful starting point is a diagnosis: reviewing your funnel, your active channels and your current measurement to know what to prioritise. At GMC we can run that review and tell you clearly what makes sense to tackle first and what does not.