... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... time updates on app downloads and revenue Real-time ranking and position changes across all app categories In-depth analysis of top market apps with similar app recommendations Advanced Search Multi-tag and multi-dimensional filtering to identify benchmark competitors Discover emerging niche markets and uncover growth & investment opportunities Competitor

... Ever wanted to peek behind your competitors ad strategies? Now you can with full transparency. I just launched a free n8n workflow that pulls ad creatives straight from Google s Ads Transparency Center, powered by SerpApi. n8n Template link This workflow does the boring stuff for you: Fetches ads by domain (like nike.com or apple.com ) Filters by region Categorizes creatives into text, image, and video Exports clean CSVs for instant analysis All you need to do is hit Test workflow ... ... messy results) Splits by ad format Exports everything neatly to /files/ as CSVs You ll get: text_{domain}_ads.csv image_{domain}_ads.csv video_{domain}_ads.csv Example use cases: Benchmark ad copy styles in your niche Track seasonal trends from competitors

... have a background in sports and finance so you're probably wondering how am I getting on with tech We launched XPO a little over 2 weeks ago, right here on Product Hunt After launch, the first thing I realised is that you shouldn't assume your users will know how to use your product right off the bat ! Here to answer any question relating to dumb-proofing your product based on initial user feedback. Also, how to efficiently collect ...