Building a SaaS for a non-English market, like Teachazy for French users, is a powerful strategy. SEO competition is significantly lower, making it much easier to rank for high-volume, high-intent keywords. This creates a defensible acquisition channel that is far less saturated than the English market.
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Keyword tools are useless for identifying the ultra-long-tail queries (often 60+ words) that drive Answer Engine Optimization. The best source for this content is your own first-party data. Analyze support tickets, sales call transcripts, and Reddit threads to discover the highly specific questions your customers are actually asking.
Users often ask LLMs specific feature, integration, and use-case questions ('can your product do X?'). These are frequently answered in help center articles. Optimizing this content for AEO—especially for long-tail queries—allows you to win high-intent traffic that traditional SEO often overlooks.
AI search is the new overpowered marketing channel, with traffic converting up to 17x higher than Google. To get featured, invest heavily in comprehensive "alternatives to [competitor]" and "[your product] vs [competitor]" pages, as these are the bottom-funnel queries AI models cite most often.
Unlike SEO, which favors established authority, Answer Engine Optimization (AEO) is a level playing field. Early-stage companies can gain traction quickly by creating content for ultra-specific, long-tail questions where no answers currently exist, making them the default winner regardless of their size.
Traditional SEO requires significant time to build domain authority, making it a mid-stage game. AEO bypasses this; a startup can get mentioned in citations like Reddit or YouTube and immediately start appearing in LLM answers, allowing them to compete with incumbents from day one.
The future of search isn't just about Google; it's about being found in AI tools like ChatGPT. This shift to Generative Engine Optimization (GEO) requires creating helpful, Q&A-formatted content that AI models can easily parse and present as answers, ensuring your visibility in the new search landscape.
To break through the noise of modern influencer marketing, target less-obvious platforms. Instead of competing for attention on Instagram and TikTok, pitch YouTubers and Substack writers who receive fewer inquiries. This approach increases your chances of getting noticed and securing features without a budget.
With 80-90% of AI-powered searches resulting in no clicks, traditional SEO is dying. The new key metric is "share of voice"—how often your brand is cited in AI-generated answers. This requires a fundamental strategy shift to Answer Engine Optimization (AEO), focusing on becoming an authoritative source for LLMs rather than just driving website traffic.
Unlike traditional SEO where the top link wins, in LLMs, the answer is a summary of many sources. The brand mentioned most frequently across all citations is most likely to be recommended, even if it's not the top-ranked source. This changes the strategy from ranking to saturation.
As users increasingly get answers from AI assistants, marketing strategy must evolve from Search Engine Optimization (SEO) to Generative Engine Optimization (GEO). This means creating diverse, authoritative content across multiple platforms (podcasts, PR, articles) with the goal of being cited as a trusted source by AI models themselves.
