How to Do a Competitor AI Backlink Analysis (Using FREE Tools)

Backlinks are still one of the biggest ranking factors in SEO, yet most people spend hundreds of dollars a month on tools just to spy on their competitors’ link profiles. What if you could get 80% of the same insight completely for free — and even use AI to speed up the entire process?

I’ve been doing SEO for a while now, and when I first heard people talking about “AI backlink analysis,” I thought it was just another buzzword. Turns out, it’s a genuinely useful workflow. You pull raw backlink data from free tools, run it through an AI model, and walk away with a prioritized list of link opportunities in less time than it takes to brew a coffee.

This guide walks you through the exact process I use — step by step — with real examples of prompts, AI outputs, and what to actually do with the results. No paid subscriptions needed (outside the free tiers).

How I Tested This Workflow

I ran this exact process across three different niche websites — one in personal finance, one in home improvement, and one in SaaS review content. For each site, I picked two to three direct competitors and used only free tools to pull backlink data. Then I tested three different AI models (ChatGPT, Claude, and Gemini) with the same data set to see which gave the most actionable analysis.

The whole process took about 45 minutes per competitor from start to finish on my first try. By the third run, I had it down to under 20 minutes. The quality of insights was surprisingly good — closer to what you’d expect from a junior SEO consultant than a raw data dump.

Free Backlink Tool Comparison

Before we get into the process, here’s a quick breakdown of the free tools I tested for pulling competitor backlink data. Each has its own limitations, so knowing what you’re working with matters.

Tool Free Backlink Limit Data Quality Export Available? Best For
Ahrefs Free Top 100 backlinks Excellent No (screenshot/copy) Quick domain checks
Ubersuggest (Free) ~50–100 per day Good Limited CSV Small site analysis
Moz Link Explorer 10 queries/month Good No on free DA/PA checks
Google Search Console Unlimited (your site only) Excellent Yes (CSV) Your own backlinks
OpenLinkProfiler Top 2000 links Moderate Yes (free CSV) Bulk exports
Backlink Watch Unlimited (basic) Basic No Fast surface checks
SEMrush Free (10/day) 10 requests/day Excellent No on free Spot-checks
Pro Tip: For the most complete free dataset, combine OpenLinkProfiler (for bulk export) with a quick cross-check on Ahrefs’ free view. You’ll catch links the other misses.

Step 1: Pull Your Competitor’s Backlink Data

The first thing you need is a list of domains (or full URLs) that are linking to your competitor. You’re not trying to get every single backlink — you just need a representative sample that’s large enough to find patterns.

Using OpenLinkProfiler (Recommended for Free Export)

Head to OpenLinkProfiler.org and drop your competitor’s domain into the search bar. It’ll return up to 2,000 of the most recently active backlinks and — this is the key part — you can download them as a CSV for free. That CSV is exactly what you’ll feed into an AI model.

When you download the file, you’ll see columns for the linking domain, anchor text, link type (dofollow/nofollow), and the InLink Rank (their internal authority score). You don’t need all of this. For AI analysis, the three columns that matter most are: linking domain, anchor text, and dofollow status.

Using Ahrefs Free or SEMrush Free for Quality Checks

Neither of these lets you export on the free tier, but they’re worth a quick visit to validate what you see in OpenLinkProfiler. Ahrefs in particular tends to flag spammy links more aggressively. If a domain shows up in OpenLinkProfiler with decent authority but gets flagged as low quality in Ahrefs, you can note that before your AI analysis.

Step 2: Clean and Prepare the Data

Raw backlink exports are messy. Before you hand them over to an AI, spend five minutes tidying things up. Open your CSV in Google Sheets and do the following:

Remove any rows where the linking domain is the same as the competitor’s domain — those are internal links that snuck through. Also remove obvious spammy domains (anything that looks auto-generated, foreign spam, or adult-adjacent if you’re in a clean niche). You’re trying to keep the signal-to-noise ratio high so the AI gives you cleaner output.

Trim your sheet down to these three columns: Referring Domain, Anchor Text, and Link Type. If you’ve got more than 200 rows, consider filtering to only dofollow links first. That usually brings big exports down to a manageable size without losing the important data.

When pasting data into an AI chat interface, keep it under 150 rows at a time. Most free AI tiers have context limits, and smaller, focused batches give better outputs than one giant data dump.

Step 3: Feed the Data Into an AI Model

This is where the magic happens. Open ChatGPT (free tier works), Claude.ai (free tier works), or Gemini, and paste your cleaned data with a structured prompt.

The Prompt Template I Use

Here’s the exact prompt structure that gets the best results. You copy this, replace the bracketed parts, and paste your data below it:

You are an SEO strategist. Below is a list of backlinks pointing to [COMPETITOR DOMAIN]. Each row includes: referring domain, anchor text, and link type.Please analyze this data and:
1. Identify the top 10 highest-value linking domains I should try to replicate
2. Group links by type (guest posts, directories, resource pages, forums, news sites, niche blogs)
3. Flag any patterns in anchor text that reveal their link building strategy
4. Suggest 3–5 specific outreach approaches I could use to earn similar links
5. Highlight any easy-win opportunities (directories, free listings, etc.)

Here is the data:
[PASTE YOUR CLEANED CSV ROWS HERE]

That’s it. Don’t overthink the prompt. The cleaner your data, the more useful the output will be. I’ve tested longer, more complex prompts and honestly this simple version outperforms them because the AI isn’t distracted by extra instructions.

Step 4: Understand What the AI Gives You Back

A good AI analysis will break your competitor’s backlink profile down into digestible categories and actually tell you what to do next. Here’s what each section of the output means in practice.

Link Type Groupings

When the AI groups links by type, it’s essentially mapping your competitor’s entire link building strategy for you. If 40% of their backlinks are from guest posts on niche blogs, that tells you guest posting is their primary channel. If a big chunk comes from resource pages, that tells you they’ve invested in creating link-worthy assets (tools, guides, data) that other sites reference.

Anchor Text Patterns

This section reveals how naturally (or unnaturally) your competitor has built their links. A healthy profile has mostly branded anchors, some generic ones (“click here,” “this article”), and a smaller portion of exact-match keyword anchors. If you see a ton of exact-match keyword anchors, that competitor might be doing grey-hat outreach — which means you can likely outrank them with a cleaner link profile.

Easy Win Opportunities

This is the section I always go straight to first. These are typically free business directories, industry association listings, or resource page submissions where you can get a backlink without any complex outreach. I’ve consistently found 3 to 8 of these per competitor analysis, and they take maybe 30 minutes total to act on.

Step 5: Build Your Link Outreach List

Now you take the AI’s output and turn it into action. Create a simple Google Sheet with these columns: Domain, Link Type, Contact Method, Priority, Status. Fill in the top 20–30 opportunities the AI flagged and assign each one a priority based on how realistic the outreach is.

For guest posts and niche blog placements, search “[domain name] write for us” or “[domain name] contributor” to find their submission guidelines. For resource page links, look for a page on the linking site titled “Resources,” “Tools,” or “Helpful Links” and find the editor’s contact email. For directories, just find the submission URL and add yourself.

Work through your easy wins first. Getting 5–8 new backlinks in your first week builds momentum and gives you real data to compare against your competitor before you invest time in longer outreach campaigns.

Real Output Examples From the AI

Here’s a condensed version of actual output I got when I analyzed a competitor in the SaaS review niche using this exact workflow.

ANALYSIS SUMMARY — [competitor domain]TOP 10 HIGH-VALUE LINKING DOMAINS:
1. g2.com — Review listing (free to claim)
2. capterra.com — Software directory (free tier available)
3. techradar.com — Mentioned in “best tools” roundup
4. sitepoint.com — Guest post (contributor program open)
5. productreview.com.au — Listing page
6. getapp.com — Software directory
7. hackernoon.com — Contributed article
8. trustradius.com — Vendor profile
9. alternativeto.net — Listing
10. indiehackers.com — Forum/community post

LINK TYPE BREAKDOWN:
– Software directories/listings: 38%
– Guest posts / contributed articles: 27%
– Roundup/listicle mentions: 19%
– Community/forum posts: 11%
– News mentions: 5%

ANCHOR TEXT PATTERNS:
– 52% branded anchors — healthy signal
– 21% generic (“learn more,” “this tool”)
– 19% partial match (“project management software”)
– 8% exact match keyword — moderate risk

EASY WINS (Free/Low Effort):
→ Claim or create a listing on: G2, Capterra, GetApp, AlternativeTo, TrustRadius, ProductReview
→ Estimated time: 2–3 hours total
→ Expected dofollow backlinks: 4–6 new links

OUTREACH APPROACHES:
1. Guest post pitch to SitePoint & HackerNoon (both accept contributors)
2. Reach out to TechRadar for roundup inclusion
3. Post a genuine, helpful response on Indie Hackers linking to your tool in context
4. Create a free version or tool page to attract resource page links

That output took about 90 seconds to generate. Acting on just the easy wins section added 6 new backlinks to that site within a week.

Who Should (and Shouldn’t) Use This Method

✅ This Works Well For

  • Bloggers and content creators doing their own SEO
  • Small business owners who can’t justify $99/month tools
  • Freelance SEOs building out client link strategies on a budget
  • New sites trying to understand their niche’s link landscape
  • SaaS founders doing early-stage SEO research

❌ This May Not Be Enough For

  • Enterprise SEO where you need full historical link data
  • Highly competitive niches where every link matters
  • Sites doing technical link audits (disavow work)
  • Agencies managing 20+ client link campaigns simultaneously

Personal Verdict

Honestly, I went into this expecting it to be a “better than nothing” kind of solution. What I got was something I actually use every single time I’m starting a new content campaign. The combination of OpenLinkProfiler’s free CSV export and a well-structured AI prompt gives you roughly 70 to 80% of what you’d get from a paid tool like Ahrefs or Semrush — for zero dollars.

The biggest limitation is depth. You’re working with a snapshot of backlinks, not a full historical picture. And you’re relying on the AI to categorize things correctly, which it does maybe 85–90% of the time. So you still need to spot-check before reaching out.

But for a free workflow? It’s genuinely impressive. I’d recommend it to anyone who’s not ready to commit to a $100+/month SEO tool yet.

8.5 / 10

Frequently Asked Questions

Is this as accurate as using Ahrefs or SEMrush?
Not quite. Paid tools have larger, more frequently updated databases. But for identifying link patterns and finding actionable opportunities, the free workflow gets you surprisingly close — especially for small to medium competitors.
Which AI model gives the best backlink analysis?
In my testing, Claude and ChatGPT GPT-4 both performed well. Claude tended to give more structured, prioritized output. Gemini was faster but sometimes missed nuance in anchor text patterns. Any of the three will work well with a good prompt.
How many competitors should I analyze?
Start with your top two or three direct competitors — the ones ranking above you for your primary keyword. More than that and you’ll get overwhelmed with data before you’ve acted on any of it.
Can I use this method to check my own backlinks?
Yes, and it’s actually easier because you can pull your own data directly from Google Search Console. Export your links, run the same prompt with a slight adjustment (“analyze my own link profile and identify weaknesses”), and you’ll get a useful self-audit.
How often should I redo this analysis?
Every three to four months is a good rhythm for most sites. If a competitor suddenly jumps in rankings, do a one-off check immediately to see if a link surge is behind it.
Is OpenLinkProfiler data reliable?
It’s decent for finding active, recent backlinks in bulk. It won’t catch everything a paid tool would, but it’s consistent and the free CSV export makes it uniquely useful in this workflow.

Final Thoughts

Competitor backlink analysis used to be something you could only do well with a serious budget. The combination of free tools and modern AI has genuinely changed that. You’re not going to replace a full Ahrefs subscription with this — but you can absolutely replace the need for one in your early growth phase.

The process I’ve outlined here — pull data with OpenLinkProfiler, clean it in Google Sheets, analyze it with a structured AI prompt — takes under an hour and gives you a prioritized action plan you can start working through the same day. That’s a pretty remarkable outcome for a zero-dollar workflow.

The most important thing is to actually act on the easy wins the AI surfaces. Most people do the analysis and then let it sit in a Google Sheet forever. Book 30 minutes the same week to go after your directory listings and free submission opportunities. Those quick wins compound over time and give you real momentum in your link building efforts.

If you try this and find a prompt variation that works even better, drop it in the comments — I update this guide regularly based on reader feedback and real-world testing.

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