EventHorizon Keywords: A Memory-Anchored Event SEO Tool

The project draws inspiration from 'Memento's' use of memory anchors to reconstruct a timeline, 'Dune's' focus on resource control (keywords in this case), and the 'SEO Keywords scraper' foundation. Imagine an event organizer, 'Paul', struggling to get his local music festival noticed. He feels like Leonard from 'Memento', piecing together fragmented data about past successful events. EventHorizon Keywords helps Paul (and others like him) by: 1. Scraping and Storing Historical Event Data: The system scrapes event listings websites (e.g., Eventbrite, Meetup), social media posts (with permission, of course, using APIs), and local news articles related to events. This data includes event names, descriptions, attendee comments, hashtags, location data, date, time, and categories. 2. Identifying Hyperlocal & 'Memory-Trigger' Keywords: Using NLP techniques, it analyzes the scraped data to extract frequent keywords and co-occurring terms associated with successful events in a specific geographical area. But here's the 'Memento' twist: the tool allows users to input 'memory anchors' – personal associations or triggers related to events they attended or remember (e.g., 'that pizza place near the concert', 'the band with the purple guitar'). The system then cross-references these anchors with the historical event data to surface highly relevant, but often overlooked, keywords. This goes beyond standard keyword research. Think of 'Desert Power' from Dune - control the spice, control the universe. Here, understand the keywords, control event visibility.3. Building Targeted Keyword Lists: Based on the historical data and user-defined memory anchors, the system generates tailored keyword lists for specific event types and locations. It prioritizes long-tail keywords and phrases reflecting local vernacular and common experiences. 4. Tracking Keyword Performance: The tool monitors the search engine ranking of events using the generated keyword lists and provides reports on website traffic and social media engagement. Paul can now see how his keyword choices are impacting his festival's visibility. Implementation: The project can be implemented using Python (for scraping and NLP), a simple database (like SQLite or MongoDB) to store the data, and a web framework (like Flask or Django) to create the user interface. User authentication (basic) is required. The scraper would be built on libraries like BeautifulSoup, Scrapy, or Selenium. Monetization: The project can be monetized through a freemium model: - Free Tier: Limited keyword suggestions and basic tracking. - Paid Tier: Unlimited keyword suggestions, advanced tracking, competitor analysis, and priority support. This offers event organizers a powerful, low-cost, and niche SEO solution, giving them a competitive edge in attracting attendees to their events. Its focus on hyperlocal keywords and user-defined memory anchors makes it uniquely valuable for local event organizers.