Competitive analysis using generative AI search data means using the outputs of AI-powered search tools, including ChatGPT, Perplexity, Google’s AI Overviews, and similar platforms, to understand how competitors are being positioned, recommended, and described in the responses users actually see. It is a different discipline from traditional SEO competitive analysis, and it requires a different…
Shopper marketing strategy is the discipline of influencing purchase decisions at and around the point of sale, by understanding how shoppers actually behave rather than how brands assume they do. It sits at the intersection of brand strategy, retail execution, and consumer psychology, and when it is done well, it closes the gap between awareness…
Identifying gaps in AI search visibility means finding the queries, topics, and formats where AI-generated answers are appearing instead of your content, and where competitors or third-party sources are being cited instead of you. For B2B marketers, this is quickly becoming one of the more commercially significant blind spots in search strategy. Traditional keyword rank…
AI retail strategy, at its most useful, is about applying machine intelligence to the parts of retail that have always been hard: demand forecasting, personalisation at scale, pricing decisions, and inventory management. Done well, it reduces waste and improves margin. Done badly, it adds complexity without adding value, which is where most retailers currently sit….
B2B brand strategy is the set of deliberate decisions that define how a business positions itself with buyers, partners, and the market at large. It covers what you stand for, how you’re differentiated, and why that differentiation should matter to someone with a budget and a problem to solve. Done well, it shapes every commercial…
AI brands face a positioning problem that most of them are making worse. The technology is genuinely impressive, the market is growing fast, and yet the vast majority of AI companies sound identical: intelligent, powerful, and built for the future. When every brand in a category makes the same claim, no single brand owns it….
AI trend spotting costs a fraction of traditional market research and delivers results in hours rather than weeks. But cheaper and faster does not mean better, and the gap between what AI can surface and what traditional research can prove is wider than most product marketers want to admit. The real cost question is not…
Vertical marketing in SaaS fintech means building your go-to-market motion around a specific industry segment, such as credit unions, insurance brokers, or wealth management firms, rather than selling a broadly positioned financial technology product to anyone with a budget. Done well, it compresses sales cycles, sharpens messaging, and makes your product feel purpose-built rather than…
Gen AI SEO is the practice of optimising content so it surfaces in AI-generated answers, not just traditional search results. As tools like ChatGPT, Gemini, and Perplexity pull answers directly from the web, the question of how your content gets selected, cited, and trusted has become as commercially important as ranking on page one. The…
AI is making programmatic brand safety more reliable by moving beyond static blocklists toward real-time, contextual analysis of ad placement environments. Instead of reacting to unsafe placements after the fact, AI-powered systems now assess content quality, sentiment, and context before a bid is placed, reducing the gap between brand guidelines and where ads actually appear….
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