A bulk DR checker run on one AI-drafted brief, step by step
This is an example with invented numbers, built to show the routine. Nothing below is a real client, a real site or a measured result.
The brief, the domains and the scores in this walk-through are made up to show the method. Your own list will look different.
The setup
Imagine a six-person content team at a software company. They use a generative tool to draft a 2,500-word market brief, and the draft arrives with 40 cited links in it that nobody has yet had the time to open. Typical.
The editor does not want to open 40 tabs in a row. She would rather open the six that look wrong, read those carefully, and skim the remainder against the sentences that cite them. Our review checklist places this step among the others. Sensible.
So the routine is simple: extract domains, deduplicate, send one bulk request, sort by score, and open the bottom of the list first. A bulk DR checker is the middle step. It takes seconds.
The request
Say 40 links reduce to 31 unique domains. They go in one GET call, or in a POST body if the list is long. The cost is 1 credit.
curl "https://genaicontent.org/api.php?action=bulk_dr&domains=alpha-example.com,beta-example.org,gamma-example.net&key=sk_live_..."
# Larger lists: POST the body instead
curl -X POST "https://genaicontent.org/api.php?action=bulk_dr&key=sk_live_..." \
--data "domains=alpha-example.com,beta-example.org,gamma-example.net"Why POST for long lists
GET URLs have practical length limits. Past a few hundred domains, a POST body is safer, and the action accepts up to 2,000 domains per call, so even a large audit of published pages goes out in a handful of requests. Short work.
Deduplicate first. The same publisher often appears many times in one draft, and each entry should be a bare domain, with the protocol, path and tracking parameters stripped. Each call still costs one credit.
Fields to read in the response
| Field | Meaning | How the editor uses it |
|---|---|---|
| ok | true when the call worked | A false value means stop and read the error |
| _credits | Cost of the call and remaining balance | Log it to see what a month of drafts costs |
| Per-domain DR | 0 to 100 score from our link index | Sort ascending and open the lowest first |
| HTTP 401 / 402 | Bad key / credit used up | Fix the key or top up with USDT (TRC-20) |
The sorting rule in the example
Bottom five go to a human
In the example, five of the 31 domains come back at DR 0 or close to it. The editor opens those five first.
Two are real but new
A product launch page and a conference microsite. She keeps them, with a note on the date.
Three do not hold up
One page does not mention the quoted figure. Two domains are parked. She removes the claims or finds the original.
The rest get a skim
High-score domains are checked quickly against the sentence that cites them, not trusted blindly.
What this costs and what it does not do
One bulk call is $0.0001. Even if the team ran 200 briefs in a month, that would be 200 credits, a cost so small that nobody needs to approve it.
The honest limit is freshness. Our index refreshes roughly once a month, so a site launched two weeks ago will look empty, and you should pair the score with a human look at the page itself. Use Ahrefs or Semrush if you need daily crawl data or keyword research.
None of this is magic. It turns a forty-tab chore into a six-tab chore, and the saved time goes into reading the claims that matter, such as the figure in the second paragraph that the whole brief rests on. Read the cost and rate-limit table before you wire this into a scheduled job.