Web Intelligence Specialist

ppBuyers increasingly do their research without a company noticing any of it. They put their question to a search engine or to AI, get an answer assembled from dozens of sources, and form their opinion on that. Only part of that answer comes from the company's own website. /p pWe map that complete picture and make sure it holds up. We measure using AI models, because they have processed the entire web and therefore give the most complete reflection of what exists about a brand. /p pYou are the one who does that measuring and makes sense of it. /p pbWhat you will do /b /p pSet up the measurement. For each client you determine which questions their ideal customer genuinely asks, in their own words, across the whole buying journey: from an early orientation question that does not mention any brand, to a direct comparison with a competitor. That is less straightforward than it sounds, because a badly framed question returns an answer you cannot use. /p pRead the data. You analyse what comes out of the measurements: in what share of answers is a brand mentioned, in what role, is it accurate, which sources sit underneath it, which competitor appears alongside. Per model, over time, as a percentage rather than a snapshot. /p pSpot the patterns. You look for where things go wrong: sources contradicting each other, outdated information, questions left unanswered, places where a brand simply does not appear. And you trace every error back to the source it came from. /p pMeasure the effect. After something has been changed, you check whether it worked. Against the baseline taken beforehand, per change separately, so it is clear what made the difference. /p pTell the story. You translate what you see into something a client can act on. A report that only contains numbers is unfinished work. /p pbWhat we are looking for /b /p ul liYou can pull out what data actually says, and you see the difference between a pattern and a coincidence. /li liYou write clearly. You can explain what you are seeing to someone who does not have the data in front of them. /li liYou are curious about how search engines and AI models arrive at their answers, and you enjoy working out how something functions when little has been written down about it yet. /li liYou work carefully. What we deliver ends up in the boardroom, so an error in a report carries weight. /li liProfessional level Dutch and English. /li /ul pNice to have, not required: experience in SEO, analytics, market research or data analysis. Or simply: you have already been digging into how AI search engines pick their sources, out of your own interest. /p pbWhat we offer /b /p ul liA field that is still taking shape, where you help decide how we work. /li liWork across a range of clients, from professional services firms to consumer brands, so you see a lot of markets in a short space of time. /li liA small team where what you do makes a visible difference. /li /ul /p #J-18808-Ljbffr