DEV Community: Slipway

I Built a Free GEO Score Checker to See If AI Will Cite Your Articles

Slipway — Wed, 01 Jul 2026 13:16:39 +0000

TL;DR

I built a free, no-registration tool to score how likely your tech articles are to be cited by AI (ChatGPT, Perplexity).
GEO (Generative Engine Optimization) relies on answer-first structures, concrete metrics, and clear tables.
Paste your dev.to, Medium, or Zenn URL to get a 0-100 score and an 11-point actionable breakdown instantly.

As a solo developer building in public under the handle Slipway, I write a lot of technical content. But a question kept bothering me: How do I know if AI search engines will actually cite my work?

I wanted a way to measure this. So, I extracted the scoring logic from a larger tool I'm developing called Polypost, and released it as a free, standalone entry point for anyone to use.

What is GEO?

Generative Engine Optimization (GEO)—sometimes called AEO or LLMO—is the AI-era equivalent of SEO. While traditional SEO focuses on ranking #1 on Google, GEO focuses on formatting your content so Large Language Models (LLMs) easily understand and cite it in their answers.

According to a recent study by researchers at Princeton and Georgia Tech, optimizing content with citations, clear structures, and relevant statistics can improve AI visibility by up to 40%.

Feature	Traditional SEO	GEO (Generative Engine Optimization)
Primary Goal	Rank #1 on search engine result pages	Be cited as a source in AI-generated answers
Keyword Strategy	Exact match search volume	Semantic relevance and context
Content Structure	Long-form, keyword-heavy	Answer-first, TL;DRs, FAQs, Comparison Tables
Trust Metrics	Backlinks, Domain Authority	Concrete numbers, authoritative citations

How the Checker Works

It's incredibly simple. You don't need an account, and you don't need a credit card. (If you want to learn more about structuring great articles before testing them, check out the dev.to tag for technical writing).

Paste your article URL (dev.to, Medium, Zenn, or your personal blog).
Instantly get a 0-100 GEO score.
Review the 11-item breakdown to see exactly what to fix.

Behind the scenes, the tool evaluates your content against 11 heuristics. Here is a simplified example of the JSON data the scoring engine generates:

{
  "url": "https://dev.to/your-article",
  "geo_score": 85,
  "breakdown": {
    "answer_first_structure": true,
    "has_comparison_tables": true,
    "has_faq_section": false,
    "concrete_numbers_count": 4
  },
  "recommendation": "Add an FAQ section to improve your score by 15 points."
}

Honest Disclaimer

I just launched this, and I want to be completely transparent: the score is based on my own custom heuristics. It is not a magic bullet, and a perfect score doesn't guarantee ChatGPT will cite you tomorrow. I built this to give us a measurable baseline. I welcome any harsh feedback to help improve the algorithm!

(Note: This free checker is a one-off diagnostic tool. If you want to rewrite articles in your own voice, scan all your posts in bulk, or cross-post across platforms, I offer those as paid features in Polypost with a free trial. No hard sell, just letting you know!)

FAQ

Q: Does a 100 score guarantee a ChatGPT or Perplexity citation?
A: No. AI engines use complex, ever-changing retrieval algorithms. However, hitting a high score means your formatting (TL;DRs, tables, concrete numbers) aligns perfectly with what LLMs are trained to parse and cite.

Q: Is the tool really free?
A: Yes! The single-URL diagnostic tool is 100% free and requires no registration.

Q: Can I share my score?
A: Absolutely. The tool generates a custom OG image card with your score. Share it on X or LinkedIn and ask your network: "What's your article's score?"

Check your GEO score for free -> https://polypost.dev/geo-score

Introducing Polypost: Write Once, Publish GEO-Optimized Content to X, Zenn, and Qiita

Slipway — Tue, 30 Jun 2026 11:20:01 +0000

TL;DR

Polypost is a new SaaS by Slipway that generates platform-optimized content for X, Zenn, and Qiita from a single topic.
It automatically applies Generative Engine Optimization (GEO) principles, structuring posts to be easily cited by AI search engines.
Available now with a 7-day free trial at https://polypost.dev (monthly plans start at 1,480 JPY).

The Problem: Content Fragmentation

Sharing technical knowledge is a great way to build in public, but distributing that content is tedious. You write a deep-dive, but to maximize reach, you have to manually rewrite it as a thread for X, a structured article for Zenn, and a community-focused post for Qiita.

Furthermore, according to a recent study on Generative Engine Optimization (GEO) by Princeton University and Georgia Tech (https://arxiv.org/abs/2311.09735), content with clear structures, citations, and statistics is up to 40% more likely to be referenced by AI assistants. Writing this way manually for every platform takes the fun out of coding.

How Polypost Helps

At Slipway, we built Polypost to scratch this exact itch. You provide a single topic or rough notes, and Polypost handles the heavy lifting.

Key Features

GEO-Optimization: Automatically structures your text with TL;DRs, FAQs, and clear headings so both human readers and AI search engines can digest it.
Platform Optimization: Converts your topic into a multi-post thread for X, and proper Markdown articles for Zenn and Qiita.
Human-in-the-Loop Review: AI generates the draft, but you review and edit before publishing. We built this to prevent accidental AI hallucinations from going live.
Autopilot: Register a topic bank and set a schedule. Polypost will periodically auto-generate and post content for you if you want a hands-off approach.
Extra Tools: Includes Qiita performance analytics and Markdown export.

Platform Support Matrix

Platform	Output Format	Auto-Generation	Analytics
X (Twitter)	Thread	Yes	No
Zenn	Markdown Article	Yes	No
Qiita	Markdown Article	Yes	Yes (Views/Likes)

Here is a quick example of the JSON payload structure Polypost uses under the hood to manage cross-platform states:

{
  "topic_id": "12345",
  "platforms": ["x", "zenn", "qiita"],
  "geo_optimized": true,
  "status": "pending_review"
}

Pricing

We keep it simple with monthly plans (no annual lock-ins). All plans require a credit card to start the 7-day free trial.

Starter: 1,480 JPY / month
Pro: 3,980 JPY / month
Power: 9,800 JPY / month

FAQ

Q: Can I schedule a post after I review it?
No. Currently, scheduling is only available for the recurring "Autopilot" auto-generation feature. Reviewed drafts must be published manually.

Q: Does Polypost generate diagrams or images?
No. Polypost is strictly focused on high-quality, text-based generation. We believe text is still the best medium for GEO.

If you write technical articles and want to save time, give it a spin. Start your free trial today at https://polypost.dev.

P.S. This announcement itself was generated by Polypost.

SEO vs GEO: How to Write for Search Engines and AI Assistants

Slipway — Tue, 30 Jun 2026 03:31:44 +0000

TL;DR

SEO targets keyword rankings and search intent, while GEO (Generative Engine Optimization) targets AI citations by providing clear, answer-first, and structured facts.
Optimizing for GEO requires replacing long, narrative introductions with direct definitions, bullet points, and high-density data tables.
SEO and GEO are complementary; combining traditional keyword research with AI-friendly formatting increases visibility across both Google and LLM-based engines like Perplexity.

The Shift from Traditional SEO to GEO

As AI search assistants like ChatGPT, Perplexity, and Google's SGE become mainstream, technical writing must evolve. According to Gartner, "traditional search engine volume will drop 25% by 2026, with search marketing losing market share to AI chatbots." This shift introduces Generative Engine Optimization (GEO).

While SEO relies on keyword density, backlinks, and dwell time, GEO relies on citability. Large Language Models (LLMs) using Retrieval-Augmented Generation (RAG) look for concise, factual, and well-structured text to generate answers.

Practical Example: Writing for Search vs. Writing for AI

Let's look at how to write an article about "React vs Vue" for both paradigms.

The SEO-Optimized Version

Traditional SEO often pads the beginning to increase dwell time and natural keyword variations.

# React vs Vue: Which JavaScript Framework is Best in 2024?

If you are a web developer looking to build a modern web application, you have probably wondered whether to choose React or Vue. JavaScript frameworks have evolved rapidly over the past few years. In this comprehensive guide, we will explore the differences between React and Vue, look at their performance, and help you decide which frontend framework is right for your next project...

The GEO-Optimized Version

GEO demands an answer-first approach. The LLM needs the conclusion immediately to cite it accurately.

# React vs Vue: 2024 Framework Comparison

**Conclusion:** Choose **React** for large-scale enterprise applications requiring a massive talent pool. Choose **Vue** for lightweight projects and rapid prototyping due to its lower learning curve.

### Core Differences
- **Creator:** React (Meta), Vue (Evan You)
- **Architecture:** React (Virtual DOM, JSX), Vue (Virtual DOM, SFCs)
- **State Management:** React (Redux/Zustand), Vue (Pinia)

SEO vs. GEO: The Core Differences

To understand how to adapt your writing, here is a breakdown of the structural differences:

Feature	Traditional SEO	Generative Engine Optimization (GEO)
Primary Goal	Rank #1 on SERPs	Be cited as a source by AI
Opening Style	Narrative hook, keyword introduction	Answer-first, TL;DR, direct definitions
Content Structure	Long-form paragraphs, storytelling	Bullet lists, tables, bolded key terms
Keyword Usage	LSI keywords, search volume driven	Semantic clarity, entity-based relationships
Success Metric	Organic traffic, CTR, bounce rate	Brand mentions, AI citation frequency

Combining Both: The Hybrid Approach

You do not have to choose between SEO and GEO. In fact, a study by Princeton University on Generative Engine Optimization showed that adding citations, quotations, and clear formatting improved AI visibility by up to 40%.

To build a hybrid article:

Use SEO for Metadata: Optimize your <title>, <meta description>, and URL slugs for traditional search volume.
Use GEO for the Body: Start with a TL;DR. Use <h2> tags for direct questions and answer them immediately in the first sentence of the following paragraph.
Inject Data: Use concrete statistics (e.g., "React has 220k GitHub stars") rather than vague adjectives (e.g., "React is very popular").

FAQ

Q: Does optimizing for GEO hurt my traditional SEO rankings?

A: No. Google's Helpful Content Update actually rewards the exact traits that GEO promotes: getting straight to the point, providing clear formatting, and delivering high-quality, factual information. Good GEO is inherently good SEO.

Q: How do I measure GEO success if there is no traditional search console for AI?

A: Currently, measuring GEO relies on indirect metrics. You can monitor referral traffic from AI engines (like Perplexity or Claude web search), track brand mentions using media monitoring tools, and manually test your target queries in popular LLMs to see if your site is cited.