Stop Guessing — Use Perplexity Deep Research to Find Real Answers Fast
Upload files, run a Deep Research report, and get a ready-to-share summary (perfect if you’re learning ChatGPT and need better sources).
👋 Hey, it’s Becky!
If you want faster, cleaner research than random Google results, this walkthrough shows how Perplexity’s Deep Research saves hours and gives you sharable reports.
🎥 Deep Research with Perplexity — Better Sources for ChatGPT Workflows
🚀 Why Deep Research Beats Wild Googling
Perplexity visits many sites at once and stitches the results into one clear report. That means no more copying random snippets and hoping they’re right. You get a logic trail and source list you can trust — then you can use that with ChatGPT to write better content.
Coaches & Course Creators
You read a bunch of articles and still can’t build a clean lesson. That means slow course creation and shaky claims.
Try this next: Upload your source PDFs or notes to Perplexity, run Deep Research on the lesson topic, then export the summary as a Docx to paste into your course. Use the source list to add citations quickly.
Consultants & Service Pros (Lawyers, Accountants, Therapists…)
You send long reports and clients skim or ask for proof. That means wasted time answering basic follow-ups.
Try this next: Drop your client docs into Perplexity, run Deep Research, and generate a one-page summary. Share the public link or PDF so clients get the key points and sources in one click.
Home Service Pros (Roofers, Plumbers, Handypeople…)
You explain jobs with long texts and photos and customers still get confused. That means lost approvals and fewer upsells.
Try this next: Run a Deep Research on the repair steps and cost breakdown, make a simple infographic or summary from the export, and text the public link to prospects so they see clear steps and prices.
Use Perplexity Deep Research to turn scattered web noise into clean, shareable reports. Then feed those reports into ChatGPT for better copy, proposals, and training content.
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Catch you in the next one,
—Becky Auer
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