Template

Product Walkthrough Writer

Create a product walkthrough article with competitor overview, images, internal & external links.

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Workflow

Writing an in-depth product walkthrough is one of the fastest ways to help skeptical B2B buyers grasp real-world value without sitting through a live demo. The catch? Researching the product, mapping pain points to features, and weaving it all into a persuasive narrative can swallow an entire workday—especially when you also need competitive context and SEO-ready structure. Our “Product Walkthrough Writer” template automates 80-90 % of that grunt work, turning any product URL into a rich, comparison-ready article draft in minutes with images, detailed competitor overviews, internal & external links.

How the App Is Built (Step-by-Step)

1. Instant Product Research

The first Chat Model node (Research) ingests the product page you provide and digs for answers—brand name, target persona, pain points, current work-arounds, key capabilities, and the concrete benefits that tie it all together. The prompt forces the model to output a clean JSON object, making the data easy to reference downstream.

2. Outside-in Competitive Scan

Find Similar Pages sends the same URL to Exa.ai, retrieves up to 10 semantically similar sites, and feeds them to a Python step that filters out your own domain and trims the list to four true competitors. This ensures every walkthrough also frames your product in the wider market conversation—crucial for bottom-of-funnel readers comparing options.

3. Internal Knowledge Fallback

If your team has uploaded battlecards, case studies, or docs to Moonlit Knowledge Base, Retrieve Knowledge can pull additional context so the model isn’t limited to what’s on the live site.

4. Benefit-Driven Body Sections

The second Chat Model (Body Sections) loops over each pain-point/benefit pair (via the {{item}} syntax) and writes a short, HTML-formatted section. It agitates the current frustration, cites stats when available, and shows exactly how the product capability solves it—no generic fluff.

5. Visual Proof Points

An HTML to Image node grabs a hero screenshot of your homepage and, later, one from each competitor site. These images are embedded automatically so the finished post feels like a mini demo, not just text.

6. Competitor Overviews on Autopilot

For every filtered domain, the Comp Overviews Chat Model delivers a concise company snapshot plus bullet-point features—again in JSON, ready for painless parsing.

7. Polished Intro & Conclusion

A Claude Sonnet model (Intro and Conclusion) scans all the generated body sections, injects your primary keyword, and drops in your custom call-to-action twice—once early, once at the end—using clean HTML.

8. Final Assembly in Python

The Concatenate Sections script stitches everything together—title, intro, product sections, competitor sections, and conclusion—into one ready-to-publish HTML article that appears as the app’s single output. This final assembly process is reminiscent of our Content Brief Generator tool, which similarly consolidates different content layers into a comprehensive output.

Ways to Customize This Template

  • Swap in niche statistics: Add a second Retrieve Knowledge node that queries your internal research library for industry-specific data to make each section even sharper.

  • Persona variations: Clone the app and tweak the first Chat Model system message to “Write for CFOs” or “DevOps managers” to produce multiple persona-targeted versions from the same URL.

  • Multi-format outputs: Add extra Python functions to split the final HTML into social snippets, email nurture copy, or video script bullets—perfect for repurposing.

  • Tone & style controls: Adjust temperature or add style guidelines in the prompts (e.g., “use a conversational tone, second-person POV”) to match your brand voice. We recently wrote an indepth article on mastering on-brand content with AI, we recommend checking it out.

Running It at Scale with Bulk Runs

  1. Export a CSV of product URLs, primary keywords, and CTAs—one row per article you need.

  2. Head to Moonlit → Bulk Runs, choose the “Product Walkthrough Writer” app, and map each CSV column to its matching input. For more details on managing large-scale workflows, see our guide on Running Apps at Scale.

  3. Launch the job; the platform queues hundreds of walkthroughs in parallel and emails you when they’re ready.

  4. Download the results as a zip or push them straight to your CMS via our integrations.

Additional Context

B2B studies show 60% of buyers shortlist vendors before ever talking to sales. Detailed product-led content bridges that gap, and comparison-style posts capture valuable “vs” and “alternative to” keywords. By automating the heavy research and structuring layers, this app frees your team to focus on final edits and distribution—not blank-page syndrome.

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