Seven ways to make a marketing deck easier to read with AI

You hand a draft to ChatGPT or Gemini and ask it to “make this a presentation.” What comes back is the original prose turned into bullets and split across a few pages. The content is not wrong, and a customer or a manager still cannot tell “what, in the end, am I supposed to decide?”

The cause is that you asked the AI for design, and you did not specify what to keep, and in what order to say it.

AI is good at editorial work: pulling the conclusion out of a draft, splitting a long explanation, and proposing a figure that fits the information. This article covers seven ways to make a proposal or an internal report you already have easier to read with AI. At the end there is a prompt you can copy that runs all seven.

Give AI the editing, ahead of the design

A good marketing deck makes the conclusion clear first, lets you check the basis next, and ends by deciding who does what. What you hand to AI is the work of building that order.

If you also hand facts and the final judgment to the AI, you can get a deck that looks tidy and has no basis. A person passes the purpose and the facts, the AI makes a structure, and a person checks it at the end. That split is the default.

Method 1: pass AI “what you want the other person to decide”

Do not pass only the draft at the start. Write what you want the person who sees the deck to decide. Fill in this one sentence.

I want (the audience) who sees this deck to understand (the current state and the problem),
and to decide (the action, budget, and owner to carry out).

“Report the ad results” is an action on the side that is making the deck. “Have them decide whether to continue search ads” writes the other person’s decision.

If you pass this sentence first, the AI can choose what goes in the deck by whether that decision needs it. Instruct it to move detailed data that does not change the decision into an appendix, rather than deleting it.

Method 2: have AI turn chapter titles into headlines that state the conclusion

Headlines like “market analysis,” “ad results,” and “next month’s actions” do not show the point until you read the body. Aim for a state where the thread of the story can be followed from the headlines alone.

For a fictional case, for example, you can rewrite them like this.

Do not ask the AI to “rephrase the chapter titles.” Ask it like this.

Rewrite each page's headline into one sentence that carries the conclusion
even if the body is not read.
Keep the chapter title separately, as a small label.
Do not invent a conclusion the draft cannot support. Show it as missing information.

Use the largest type for the conclusion you want that page to carry. A person checks, against the original facts, whether the AI turned it into an assertion that is too strong.

Method 3: have AI split one slide into “conclusion, basis, next action”

If one slide has several claims, it is unclear which one you want remembered. Narrow each page to these three layers.

1. Conclusion: one sentence for what you want remembered from this page
2. Basis: at most 3 numbers or facts that support the conclusion
3. Next action: who does what, by when

Have the AI output these three items for each slide. If the basis goes past 3 points, do not shrink the type. Have it split them onto another page or into the appendix. A page you cannot read during the talk without scrolling is not one slide. It is a long document fitted onto the screen.

Spotify’s public creative for Wrapped makes this cut clearly. A large number or rank is the subject, and a short sentence adds what it means. You do not need to copy the color or the motion, but limiting the topic one screen handles is a way of thinking you can use in a proposal too.

Method 4: have AI extract “how the information relates,” not the sentences

Asking only “turn this text into a diagram” tends to produce a figure of boxes and arrows. First have the AI classify which relationship you want to show, then have it pick a figure that fits that relationship.

Think with Google’s “Decoding Decisions” draws complex buying behavior as a back-and-forth between “exploration” and “evaluation.” It did not replace a long explanation with an illustration. What matters is that it shows the repeating relationship itself with lines.

On a page that compares numbers, a plain bar or line fits better than a heavily decorated figure. Google’s “Data Stories” also shows the idea of using color and size on the place you want noticed, and cutting decoration that carries no information.

In the instruction to the AI, put not only “the name of the figure” but also “which relationship that figure shows” in the output conditions. A figure whose relationship you cannot explain can be judged unused.

Method 5: have AI check the “comparison” and the “decision” for a number

A large number by itself does not tell you whether it is good or bad. Make a number a set of these three.

• Value: what was measured, and over which period
• Comparison: how it sits against last month, the goal, a budget cap, and so on
• Decision: whether the result means continue, revise, or stop

For example, do not write only “acquisition cost of ¥○.” Write “acquisition cost of ¥○. It is over the cap that was set, so prioritize improving the signup page over new delivery.” Always put a measured value in the ¥○ part.

Have the AI check, for each number, whether there is something to compare it with and a decision. If the draft has no comparison, do not have it guess an average or a target. Have it output “comparison is missing.”

DataReportal’s Digital 2026 report aligns large metrics, comparison information, and the position of sources across the whole deck. Even with many pages, the same way of reading works, so the reader does not have to decode the layout every time.

Method 6: have AI pick one place to emphasize

If every headline, box, and number is a strong color, nothing stands out.

Have the AI name, for each page, the one element you want seen first. Use the emphasis color on one of these: that conclusion, that number, or that action. Use the same color for the same kind of information, and do not change the meaning from page to page.

It also matters that meaning does not live in color alone. Do not stop at “red means bad.” Add words or a mark such as “needs improvement.” The deck can still be judged in print, on a projector, and with differences in color vision.

Method 7: have AI sort the main deck from the appendix

The main deck you show a customer or a manager holds the conclusion and the material for the decision. Move formulas, every keyword, research notes, and the source list to the appendix.

This is not hiding the basis. It builds a state where you can move from the main deck to the basis right away.

• Main deck: the conclusion, the representative basis, the action you recommend, and what you want decided
• Appendix: source data, calculation conditions, the scope of the research, options you did not adopt, sources

Sevendex’s results deck shows the research and analysis process separately from the final deliverable. A marketing deck also has to connect through to what you build as a result, and how you carry it out, and not stop at “what we looked up.”

Have the AI sort each item in the original draft into three: “main deck,” “appendix,” and “missing information.” What you cut still remains in the appendix, so when a question comes up during the explanation you can go back to the basis.

An AI prompt that uses all seven

If you have a draft, the next prompt can make a slide structure. Paste it into ChatGPT or Gemini, and rewrite the parentheses to match your deck.

You edit marketing decks for customer proposals
and for management meetings.

Turn the draft below into a slide structure
a decision-maker can judge in a short time.

Purpose of the deck:
I want (the audience) who sees this deck to understand (the current state and the problem),
and to decide (the action, budget, and owner to carry out).

Rules:
- Do not add numbers, facts, or sources that are not in the draft
- One message per slide
- Use a headline that shows the conclusion, not a chapter title
- Structure each slide as "conclusion, basis, next action"
- Split the basis into "measured," "registered information," "general principle," and "hypothesis"
- Do not write a hypothesis as if it were a fact
- If a figure is needed, write the kind of figure and the relationship it shows
- If information is missing, do not invent the content. List it as "missing information"
- Split detailed numbers and sources into an appendix

Output format:
1. What you want the audience to decide, for the deck as a whole
2. Slide list
   - Chapter label
   - Conclusion headline
   - Basis (at most 3 points)
   - Recommended figure, and the relationship that figure shows
   - The one element to emphasize first
   - Next action
3. Content to move to the appendix
4. Information that is missing

Draft:
(paste it here)

Once the structure is out, ask this next.

Read only the headlines from the top,
and check whether the flow "current state → problem → strategy → action → decision" holds.
Where it jumps, do not invent the missing basis. Show it as "missing information."

That checks the thread of the story. At the end, a person checks whether the AI filled in missing information on its own, and whether the numbers and sources are in the original draft.

Passing the premises to AI every time is a lot of work

You can use this method in free ChatGPT or Gemini. Each time you make a deck, though, you have to paste again the business information, the material on customers, competitors, and your company, the measured numbers, the actions, the KPIs, and the sources.

If the previous analysis, or an action you did not adopt, lives somewhere else, the AI cannot take that history into account. Before you make the deck, the material for marketing decisions needs to stay organized over time.

With Shoryaku AI, analysis connects through to the presentation

Shoryaku AI shows marketing analysis as a presentation in this order: conclusion, market opportunity, strategy, priority actions, the plan to carry them out, and what to decide at the end. You can check the link from observation to strategy, action, and KPI in a figure, and open the detailed basis on another screen. The deck on screen can also be printed or saved as a PDF.

Shoryaku AI is not editing software that freely decorates PowerPoint. Its role is to organize the material for a marketing decision, and turn it into an order you can explain. It separates the AI’s inference from facts that could be confirmed, and a person makes the last decision.

How analysis becomes specific actions is covered in How to ask AI for revenue ideas, and how Shoryaku AI does it.

Summary

When you make a marketing deck easier to read with AI, give the instructions in this order.

1. Pass what you want the other person to decide
2. Have it turn chapter titles into headlines that state the conclusion
3. Have it split one slide into “conclusion, basis, next action”
4. Have it pick a figure that fits how the information relates
5. Have it check the comparison and the decision for each number
6. Have it pick the one place to emphasize first
7. Have it sort the main deck from the detailed basis

First, pass the draft you have now, and “what you want the other person to decide,” to the AI, and have it make only the headlines. Before you change fonts or colors, you can check the thread of the deck.

• Marketing
• AI
• Product