Forty Questions

Spegla measures whether AI assistants recommend your brand when buyers ask them for a product in your category. Each run generates ten buying questions a real customer would ask, then sends every one to ChatGPT, Claude, Gemini and Perplexity through their official APIs. That is forty answers per run, collected the same way each time so two runs are comparable. Your brand name never appears in any of the questions, so a mention only counts if the assistant raises it on its own. You get a 0-100 visibility score combining how often you are named with how early you appear, your mention rate, the rival brands recommended in your place, the sources each assistant cited, and the full text of every answer. Spegla runs in 15 European languages, with questions written in the market language rather than translated from English. Tracking re-asks the same questions weekly or monthly so scores stay comparable over time.

Search is moving into AI chats. People no longer type a keyword and browse ten links, they ask an assistant which brand to pick, and the assistant answers with a short list. If your brand is not on that list, you never learn about it: there is no ranking to check and no impression to count. CiteLyzer answers that question with data. It asks the questions your customers actually ask, across ChatGPT, Gemini, Google AI Overviews and AI Mode, with Perplexity on the Pro plan, and shows how often your brand appears, how your share of voice compares with competitors, and which sources the answers cite. Every scan is kept, so you see the trend rather than a single snapshot, and the gaps come back as a concrete list of what to fix. It fits small and mid-sized companies, in-house marketers and agencies. Scans run every day in every plan, a one-off report needs no account, and measurement is per market, so a brand outside the United States is measured in its own language.