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The power of chain-of-thought prompting

Storytelling isn’t just about words—it’s about structure, emotion, and depth. AI-generated content often struggles with coherence and narrative flow, but chain-of-thought prompting (CoT) is changing the game. By guiding AI through structured reasoning, we can craft compelling, multi-layered stories that feel more human.

Why chain-of-thought prompting works for storytelling

Traditional AI prompting often results in disjointed plots and shallow characters because it lacks a logical sequence of thought. CoT prompting forces the AI to “think out loud,” making it analyze its own decisions, leading to more nuanced storytelling.

Instead of prompting an AI with:
“Write a sci-fi story about a lost astronaut.”
We use a more structured CoT approach:
“Describe the astronaut’s background, their mission, what went wrong, and their psychological state before revealing how they attempt survival.”

By breaking down the narrative into logical steps, the AI produces a richer, more compelling story with better pacing and internal consistency.

How to use CoT prompting for AI storytelling

  1. Define the Story Structure – Use prompts that break the story into beats: setup, conflict, climax, resolution.
  2. Ask Why, Not Just What – Force AI to justify actions: Why does the character make this choice? rather than just What happens next?
  3. Focus on Character Development – Prompt for emotional depth: How does the protagonist’s fear change their decision-making?
  4. Iterate & Refine – Keep prompting for specific improvements: Make the dialogue more intense. Add a twist to the ending.

Real-world example: CoT in action

Let’s take a standard AI-generated plot:
A detective in a cyberpunk city uncovers a secret that changes everything.

With CoT prompting, we refine it step by step:

  • Character depth: What personal trauma drives the detective?
  • Conflict: Who is trying to stop them and why?
  • Plot evolution: What false assumptions does the detective make?
  • Climax: How does the revelation impact their world and their beliefs?

This process transforms a generic plot into a multi-dimensional story with tension, stakes, and emotional weight.

Storytelling for marketing with CoT prompting

In marketing, storytelling isn’t just about entertaining—it’s about engaging and converting audiences. CoT prompting can help brands craft narratives that resonate emotionally, build trust, and drive action.

  • Brand Origin Stories: Instead of a generic “about us” page, use CoT to break down the journey: What problem led to the company’s founding? What challenges shaped its mission?
  • Customer Success Stories: Go beyond surface-level testimonials. Guide AI to explore: What was the customer’s pain point? How did the brand’s solution transform their experience?
  • Campaign Narratives: Frame product launches with tension and resolution. What problem does the product solve? What happens if it’s ignored? What transformation occurs when used?

By structuring marketing narratives with CoT prompting, brands can create authentic, emotionally driven stories that make a lasting impact.

The future of AI assisted storytelling

Chain-of-thought prompting isn’t just a tool—it’s a mindset shift in how we collaborate with AI. By structuring prompts to simulate human reasoning, we unlock storytelling that resonates on a deeper level. Whether you’re crafting branded narratives, immersive content, or experimental fiction, CoT is the key to elevating AI-generated storytelling from robotic to remarkable.

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AI is reshaping the way businesses reach and engage their audiences, making marketing smarter, faster, and more impactful. From personalizing content to predicting trends, AI in marketing empowers businesses to deliver what their customers need, exactly when they need it.

Why context is king in AI prompting

When it comes to getting great results from AI, it’s easy to think it all comes down to the words you use. But there’s more to it than just stringing the right phrases together. The secret sauce? Context. Without it, even the most sophisticated AI model will produce outputs that fall flat.

Context is what elevates a generic, one-size-fits-all response to something that feels on-point, relevant, and tailored for the task at hand. Think of it as the backbone of effective AI communication—without it, your prompts are aimless, your outputs lack direction, and your AI ends up missing the mark.

What is context in AI prompts?

In the world of AI, context refers to all the background information that helps the model understand exactly what you’re asking for. It includes:

  1. Audience Details: Who is this content for? C-level executives? First-time buyers? A tech-savvy audience?
  2. Purpose and Objective: What’s the goal of the content? To inform, persuade, or entertain?
  3. Tone and Style: Should it be formal, casual, or somewhere in between?
  4. Domain-Specific Knowledge: Is the AI writing about finance, healthcare, or SaaS solutions? Each domain has its own terminology, best practices, and nuances.
  5. Language and Cultural Context: Are you targeting a global market, or focusing on a specific region with unique preferences and sensitivities?

When you include this context in your prompts, you give the AI a roadmap. Without it, it’s like sending the AI off into the wilderness with nothing but a vague idea of where it’s supposed to go.

Why context matters: From good to great outputs

Let’s get practical. Imagine you need to generate a product description for a new B2B software tool. Here’s what happens when context is absent:

Prompt without context:
“Write a product description for our new software tool.”

Output:
“Our software tool helps businesses increase productivity and efficiency.”

Sure, it’s technically correct. But is it compelling? Is it relevant to your target audience? Not even close.

Now, let’s add context:

Prompt with context:
“Write a product description for a new project management tool targeting mid-sized SaaS companies. Highlight its ability to streamline team collaboration, automate repetitive tasks, and integrate seamlessly with popular tools like Slack and Trello. Keep the tone professional but approachable.”

Output:
“Our project management tool is designed for fast-paced SaaS teams looking to simplify collaboration and boost productivity. Automate repetitive tasks, manage projects effortlessly, and integrate seamlessly with tools your team already loves, like Slack and Trello. Get more done with less hassle.”

See the difference? By adding details like target audience, key features, and tone, the output becomes infinitely more useful.

Types of context you should include in your prompts

Building context into your prompts isn’t just about making them longer. It’s about adding the right type of information. Here are the core types of context you should consider:

  1. Target Audience
    • Specify who the content is for, their role, and their industry.
    • Example: “Create a blog post targeting IT managers in the healthcare industry who are concerned about data security.”
  2. Intended Outcome
    • What do you want the reader to do after engaging with the content? Sign up for a demo? Share the post? Buy a product?
    • Example: “Draft an email campaign to promote our new software. The goal is to encourage recipients to sign up for a free trial.”
  3. Tone and Style Guidelines
    • Define the voice of the content. Should it be persuasive, informative, humorous, or professional?
    • Example: “Generate social media copy for a new SaaS product. Use a playful, engaging tone to appeal to startup founders.”
  4. Specific Content Elements
    • Include requirements like word count, formatting, and key points to include.
    • Example: “Create a 300-word product description highlighting features X, Y, and Z. Use bullet points to emphasize each benefit.”
  5. Regional or Cultural Nuances
    • If you’re creating multilingual content, be clear about cultural preferences, idioms, and sensitivities.
    • Example: “Translate this blog post into French for an audience in Canada. Maintain a professional tone and replace American cultural references with Canadian ones.”

When context goes wrong: The risks of under-explaining

Leaving out context in your prompts can lead to a range of issues:

  • Generic Outputs: Without audience details, the AI’s response is often broad and bland, failing to resonate with anyone.
  • Misaligned Tone: If you don’t specify tone, you risk ending up with a piece that feels off-brand—either too formal or too casual.
  • Cultural Missteps: A lack of regional context can lead to outputs that feel inappropriate or out of touch, especially when translating content.

In a business context, these missteps are more than just minor annoyances—they can hurt your brand’s credibility and lead to missed opportunities.

How to build context-rich prompts in Magnity

At Magnity, we take context seriously. By incorporating local writing rules and robust contextual prompts, our platform is designed to produce outputs that feel authentic and on-point in every language and market. Here’s how you can apply it in Magnity:

  1. Leverage Local Writing Rules: When creating multilingual content, add rules that specify tone, preferred terminology, and even sentence structure variations for each language.
  2. Use Structured Prompts: Instead of a single-sentence prompt, build a structured prompt that includes target audience, objective, and any key phrases you want the AI to incorporate.
  3. Include Contextual Metadata: Magnity allows you to attach metadata to your prompts, making it easy to maintain consistency across outputs. Use this feature to keep track of brand voice, compliance requirements, and regional preferences.

Crafting context-rich prompts might take a little extra time upfront, but the results are worth it. By giving your AI a clear sense of direction, you’re setting it up to produce content that doesn’t just tick the boxes—it hits the mark.

So, next time you sit down to craft a prompt, remember: every detail counts. Define your audience, clarify your objective, and set the tone. Because in the world of AI, context isn’t just important—it’s everything.