Prompt

I’m trying to place a case study on a site that devs trust

Media publishing / Developer media1 observationLast seen Sep 23, 2026

Latest observation

Sep 23, 2026OpenAI APIWeb search: off

If your goal is to place a case study on a site that developers trust, the safest way is to treat it like a content partnership / editorial placement, not a pure link-building play.

Best options

  1. Developer publications and communities

    • Dev.to
    • Hacker News “Show HN” style posts
    • Hashnode
    • DZone
    • Medium (less trusted than the above, but workable if the writing is strong)
  2. Trusted engineering blogs / newsletters

    • Company engineering blogs with public guest post guidelines
    • Niche newsletters in your stack area
    • Open-source project blogs if your case study is relevant
  3. Vendor / ecosystem sites

    • If your case study involves a specific tool, platform, or framework, look for:
      • “customer story”
      • “case studies”
      • “community stories”
      • “built with”
      • “showcase”
    • These are often more trusted by devs than generic marketing sites.
  4. Reddit / community forums

    • Only if it’s genuinely useful and not overly promotional.
    • Best for feedback and visibility, not always for formal placement.

What makes devs trust it

  • Real technical details
  • Metrics and tradeoffs
  • Architecture diagrams or code snippets
  • Honest failures and lessons learned
  • Clear product/company disclosure

How to pitch it

Use language like:

  • “technical case study”
  • “engineering write-up”
  • “lessons learned”
  • “migration story”
  • “performance breakdown”

Avoid sounding like:

  • “SEO guest post”
  • “link insertion”
  • “sponsored content” unless disclosed

A good outreach message

Hi [Name], I wrote a technical case study on [topic] covering [problem], [approach], and [results]. It includes implementation details and lessons learned that may be useful to your readers. Would you be open to reviewing it for possible publication or a guest contribution?

If you want, I can also help you:

  • find specific trusted sites in your niche,
  • draft a pitch email,
  • or turn your case study into a dev-friendly article.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

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