How to Turn an AI Chat Into a Branded PowerPoint (Step by Step)
howto
A practical walkthrough for exporting a research chat into a cited, on-brand PowerPoint or Canva deck without rebuilding slides by hand.
You have a strong research thread inside your AI assistant. The hard part is turning it into a deck your team will actually ship. This walkthrough shows how to get from chat to a branded, cited PowerPoint in a few clicks — no manual slide rebuilding.
Step 1: Finish the chat with structure in mind
Before exporting, make sure the chat covers the shape of the deck you want: a clear thesis, two or three supporting sections, a comparison or timeline if relevant, and a closing recommendation. You do not need to write slide titles — just have the substance in the thread.
Step 2: Hit Export and pick your organization
Export pulls in your organization's logo, fonts, and color palette automatically. If you belong to more than one workspace, pick the one whose brand you want applied. This is where the deck stops looking like an AI export and starts looking like your team made it.
Step 3: Let the layout engine choose slide types
Instead of dropping everything into a single template, the export picks a layout per slide:
- Title slide for the opener
- Big-stat slide for a single number that matters
- Two-column slide for compare-and-contrast points
- Timeline slide for sequences or roadmaps
- Quote slide for a source callout
- Comparison table for options side by side
Every bullet stays tied to its source with an inline citation, so reviewers can trace claims back.
Step 4: Open in PowerPoint or Canva
You get a real editable `.pptx`, or the same deck delivered into Canva if that is where your designers live. Tweak copy, swap an image, keep the citations — the file is yours.
Step 5 (optional): Send it to Plot for narration
If the deck needs to travel as a video, one click sends it to Plot as a draft story. Plot writes the narration and paces it into a shareable video with a real preview.
For the underlying agent setup, see how to build an AI agent trained on your own PDFs and notes.