How to use AI in marketing without losing control
- Define what counts as a result. Before producing more, agree on the metric: closed sale, cost per customer, revenue per channel. Clicks and likes are useful for diagnosis, not for deciding budget.
- Use AI in production, with review. AI drafts, creates variations and adapts formats. A person checks facts, numbers, promises and tone before publishing.
- Write to be cited by AI engines. Answer the question right at the top of the page, use structured data and keep the company's name, address and description consistent everywhere. That's what helps ChatGPT, Gemini and Perplexity cite the company.
- Test creatives in variations. Generate versions of the same ad changing one thing at a time — hook, image, offer — and let the media results show which one sells.
- Send sales back to the platforms. Tell Meta and Google which leads became customers. That way the algorithm learns to find people who buy, not people who just fill out forms.
- Personalize nurturing from the CRM. Use what the CRM knows about the lead — source, interest, stage — to send the right message on WhatsApp and email, instead of the same message to everyone.
Where AI fits in marketing
Nexo works on five fronts. They can be hired separately, but they were designed to share the same data:
- Content and SEO: content production at scale, tied to the searches of people close to buying
- GEO: website and content structure so the company shows up in answers from ChatGPT, Gemini, Perplexity and AI Overviews
- AI creatives: ad variations for testing, with a read on what turned into sales
- Media optimized for sales: closed-customer conversions sent back to Meta and Google
- Personalized nurturing: messages by profile and stage, pulled from the CRM
What GEO is, and why it became part of marketing
GEO (generative engine optimization) is the work of getting a company cited when someone asks an AI. More and more people ask ChatGPT for recommendations or read Google's summary before clicking on any website.
AI engines cite pages that answer directly, have structured data and belong to a recognizable company, with the same name and description everywhere. Traditional SEO still matters; GEO adds this layer on top.
What AI shouldn't decide on its own
AI produces fast, but it doesn't know what the company can promise. These stay with people:
- Positioning and the offer
- Numbers, results and testimonials, which must be real and authorized
- Final approval of what goes live
- Budget decisions across channels
AI for marketing or B2B marketing integrated with sales?
They are parts of the same work. B2B marketing integrated with sales covers acquisition — media, landing pages and tracking — connected to the CRM. AI for marketing covers what artificial intelligence does inside that operation: producing, testing, getting found by AI engines and optimizing for sales. Companies that already have structured acquisition can start with the AI layer alone.
How Nexo implements it
The work starts with an assessment of the entire funnel, because more content and more creatives won't fix a bottleneck that sits in customer service. Then come tracking all the way to the sale, the chosen AI fronts and the review and measurement routine.
When the company already has an agency, Nexo can instrument and deploy the AI layer alongside it, without changing who runs the media.