Clicktrust

We ran our first ChatGPT ads campaign months ago, in the US, for an international client. Here's what we learned. 1️⃣ It's expensive as a performance channel. High CPCs vs YouTube or Meta, and in our test (housing industry) the cost per lead was ~5x a Google Ads search campaign. 2️⃣ It's not only a lower-funnel channel. LLMs have absorbed a lot of upper-funnel consideration, and part of the bottom funnel too, but it's not the concentrated intent of someone googling. 3️⃣ You have limited optimization control. No keywords — just broad descriptions of what your clients are looking for. Expect ads to show up all over the place while the algorithm learns. 4️⃣ Measurement is the real problem. Most people are not in a website-visiting mindset inside ChatGPT. People read, note, and convert later — on Google, on desktop, the next day. OpenAI's new post-view tracking (a 24-hour window) won't fix that. We all remember how reliable post-impression measurement is in programmatic.. The conclusion: don't measure ChatGPT ads like Google Ads. Treat it like a mid-funnel channel and prove its impact with a geo-lift or another incrementality test, not with UTMs and pixels. Otherwise the story writes itself: two months in, and you'll move budget back to Google Ads... If you're planning to test ChatGPT ads and want to set it up with the right measurement framework, happy to help.

Wanna find out how to build an entire LinkedIn campaigns with dozens of ads without even touching LinkedIn Campaign Manager? Check out the video to discover how to: → Use your favorite AI model to set up campaigns in just a couple of clicks → Bulk upload your images alongside a copy sheet, and let the agent handle ad sets, targeting, and image/copy upload → Full Human Control: Built-in approval settings ensure the AI verifies everything with you before launching anything live If you want to master the latest PPC and marketing automation strategies to save hours of manual work, check out our ClickTrust trainings. → Link in the comments.

Did you know you can now track Generative AI impressions and social media performance directly inside Google Search Console? Here is what’s new: → Generative AI Overview: A dedicated performance section showing your impression data over time and breaking down which specific pages are being used to answer AI search queries → Social & Video Integration: A feature released on July 7th that allows you to link platforms like TikTok, YouTube, or Instagram directly to Search Console Check out the video to discover more! If you want to stay ahead of the latest digital marketing updates and AI updates, we cover Generative Engine Optimization and SEO strategies in our ClickTrust trainings. → Link in the comments.

Did you know that you can chat with your data directly in WhatsApp? Here is how it works: → We use Markifact, an AI automation platform specifically designed for marketing. → A simple QR code setup links the AI agent to your WhatsApp. → You send a natural language query (e.g., "What is the CPA for this month?", “What are the best performing campaigns in 2025”) and get an immediate, data-backed answer. No more navigating interfaces for quick insights on the go or waiting for reports to load. This is a very effective way to stay on top of PPC and SEO metrics without the "dashboard fatigue." If you want to go deeper into AI for PPC, automation, and building these kinds of smarter workflows, we cover all of this in our ClickTrust trainings. → Link in the comments.

Search is shifting. In 2026, Google is no longer the only gateway—LLMs like ChatGPT and Perplexity are answering questions directly. If your brand isn't being cited, you’re missing out on the new customer journey. Join our next GEO (Generative Engine Optimization) Training at CLICKTRUST Academy in Brussels. 📍 Master the 4-step framework we use for our clients: ✅ Audit your visibility in LLMs ✅ Activate on-site "Atomic Facts" ✅ Build off-site citations that AI agents trust ✅ Measure & iterate with the GEO GPT Stop guessing and start optimizing for the future of search. 👉 Secure your spot for April or May: https://lnkd.in/drqAdNVn

I tested a simple script to extract LLM fanout queries for an SEO project — and the insight potential is big. Fanout queries = the additional searches an LLM generates to answer your question. Example: Ask “Best electric car in 2026?” The model expands into: → Electric car models 2026 → EV comparison 2026 → Best electric cars ranking I used the Gemini API to extract those fanout queries from a list of prompts and export everything into a CSV. From there, you can: → Identify keyword gaps → Detect intent clusters → Compare against rankings in SEMrush → Build content aligned with how LLMs actually expand queries This shifts from guessing to understanding AI query logic. If you’re working on GEO, AI visibility or smarter content workflows, this is essential to understand. We go deeper into AI for PPC, SEO & automation in our ClickTrust trainings. → Link in the comments.