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Pt. 1 of 2- Exploring Perplexity AI Research & Program Features
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In this video, I dive into the capabilities of Perplexity, an advanced AI search engine that combines various models for accurate information sourcing. I highlight its unique features, such as toggling for specific types of content and organizing projects for better research management. I also discuss how it can generate SEO-optimized text for images and assist in creating blog posts. Please take a look and let me know your thoughts on how we can leverage this tool for our projects!
Intro to Perplexity AI
Difference between Perplexity and models like ChatGPT or Claude
Aggregate model that pulls live information from the internet
Understanding the Interface
Search engine-style input with conversation threads
Discover feed for trending and real-time topics
Spaces (like folders or projects)
Mobile access with voice search and widget features
Live Research Examples
Searching for ADA-compliant pulls and knobs
Reviewing sourced results from Reddit, articles, and product listings
Using toggle filters (social, academic, shopping, video)
SEO Strategy Using Perplexity
How to turn research into blog post ideas
Writing prompts to help designers rank in search results
Example blog topics for aging-in-place design clients
Generating Long-Form Content
How to convert a conversation into a formatted blog page
Adding media, headers, and linking to original sources
Tips on maintaining brand voice using your own transcripts
Design Research Takeaways
Using Perplexity as a supplement or replacement for Google
Great for social proof, facts, and fast product research
Ideal for designers creating content, building authority, and improving SEO
Next Video Preview
How to build and train your brand voice using Perplexity
Creating effective instruction sets and tone samples for other AI tools