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Find Guest Posting Opportunities using AI
Find Guest Posting Opportunities in your Topical Area using AI
Hunting for legitimate guest‐post prospects can feel like digital whack‐a‐mole: endless searches, spreadsheets full of dead ends, and hours lost scanning “Write for us” pages that ultimately go nowhere. Yet the payoff is undeniable—authoritative links, fresh audiences, and a stronger topical footprint.
The Find Guest Posting Opportunities app above streamlines that process by blending SERP scraping, keyword expansion, and AI‐powered filtering into a single, repeatable flow. You plug in one target page and a core keyword, and the app serves up a ranked hit‐list of sites that clearly invite contributor content – it even pre‐qualifies each idea with search‐volume data so you know which angles to pitch first.
Walkthrough: how the app is wired
1. Pull context from your own page
We start by scraping the Link Destination URL you’re hoping to promote. Using the “full‐text” option ensures the model sees everything—headers, subheads, even tangential sections—so it can suggest guest‐post angles that feel genuinely relevant, not forced.
2. Generate 20 laser‐focused content angles
A GPT‑4o‑Mini call digests the scraped text and your Target Keyword, then returns a JSON array of twenty tightly related topics. The prompt demands specific, query‐like phrasing (“ai content first draft” instead of “first draft”), which mirrors the language editors actually optimize for.
3. Extract keywords for volume checks
A short Python snippet strips the "Target Keyword" field from each array item and converts the list to a comma‐separated string, ready for a bulk volume look‐up.
4. Attach search‐volume & competition data
The Keyword Search Volume node enriches each suggestion with monthly searches and competitiveness. In parallel, a SERPs Search queries Google for footprints like “guest post” + your keyword, grabbing the top 25 results.
5. Filter real guest‐post pages
A Llama 3 model receives the raw SERP JSON and returns a markdown report that answers three questions for every URL: Does the title/snippet signal guest posts? How confident are we? What proof did we see?
6. Merge it all into a single hit‐list
A second Python merge aligns keyword ideas with their volume metrics, then a final GPT‑4o call appends four new columns (URL, Title, Can Guest Post?, Details) for any matching domains found in the SERP report, outputting a clean JSON table plus human‐readable hit‐list. This seamless merging process is another example of how our platform leverages content automation for efficient, scalable operations.
Customization ideas
Customization Idea | Description |
|---|---|
Switch footprints | Replace the default search query with niche‐specific phrases to target more relevant or vertical publications. |
Quality thresholds | Integrate a Domain Authority API to automatically filter out low‐trust sites before finalizing your list. |
Author matching | Use your author bio with GPT to score and flag opportunities that best align with your expertise and E‐E‐A‐T. |
Pitch‐email draft | Automatically generate personalized outreach emails for each opportunity, referencing specific details from your research. |
Language & locale | Adjust SERP country and language settings to easily rerun the process for different regions or languages. |
Running it at scale with Bulk Runs
Export a CSV with two columns: Link Destination URL and Target Keyword for every page you want to promote.
Open Moonlit’s Bulk Runs, create a new job, and select “Find Guest Posting Opportunities”, and upload the CSV.
Map the columns to the two input fields, hit run, and watch as the platform spins up individual jobs—each outputting a guest‐post hit‐list you can download and push to Google Sheets.
