agentlinkopsHow to read backlink data freshness
Read backlink data freshness using separate discovery, collection, import, and verification dates. Build a timestamp record that supports your next decision.
Backlink data freshness depends on which event a timestamp describes. A file downloaded today can contain old observations. A page checked today can have appeared in an earlier discovery run. Keep those dates separate so the next action rests on the observation you actually have.
Freshness is part of backlink discovery, candidate review, and placement monitoring. Each workflow needs a different answer: when a page entered the inventory, when someone inspected it, or when a specific relationship last appeared.
Give every date a job
Start with four fields. Discovery time records when a system first added a candidate to the available dataset. Collection time records when it retrieved the source. Import time records when your workspace received the row. Verification time records your own check of the expected relationship.
A supplier may provide only some of these fields, or use different names. Keep the original column and write down your interpretation. If its documentation does not define “last seen,” avoid converting it into “last verified” merely because the names sound similar.
HTTP Semantics defines dates and response metadata for HTTP messages. An HTTP response date describes message timing; by itself, it does not tell you when a backlink first appeared. Your ledger needs its own observation context.
Trace a fictional imported record
A community theatre imports a vendor export on September 12. A row says its ticketing guide appeared on a regional arts resource page, with a supplier observation from September 3. A staff member successfully checks the source on September 13.
| Event | Date in this synthetic example | What it supports |
|---|---|---|
| Supplier observed relationship | September 3 | Historical supplier evidence |
| Team downloaded and imported file | September 12 | When the team received the record |
| Team inspected expected source link | September 13 | Current evidence at that check |
The import did not make the September 3 observation nine days newer. The September 13 check supplied a separate observation. Save both so a later report can explain why the team accepted the placement as present.
Suppose the staff check instead receives a timeout. The record still has September 3 supplier evidence and a September 13 failed attempt. Calling the link “verified September 13” would conceal the very uncertainty the team needs to resolve.
Attach timestamps to individual rows
A report-wide “updated today” label can be useful for its generation time, but it should not replace row-level dates. One report can combine a newly inspected source, a week-old supplier observation, and an unresolved historical record.
When you summarize counts, state the freshness rule. “Candidates inspected within the last seven days” defines a group. “Current candidates” leaves the reader guessing which dates counted and whether unsuccessful requests qualified.
Keep timezone information when the input provides it. If a supplier supplies a date without a time, preserve that precision. Inventing midnight can make two observations look ordered when their actual sequence is unknown.
Choose a review window by the decision
Use a recent successful check before asking a publisher about a missing expected link. A general research shortlist may tolerate older observations while you assess audience fit. A rapidly changing event page may need another look sooner than a stable reference document.
These are review choices, not universal freshness guarantees. Record the reason for the interval and let the owner change it when the campaign changes. A weekly schedule is useful only if it matches the question and available checking budget.
The candidate evaluation process helps decide which old records deserve attention first. You may find that a relevant page needs a refresh while an unrelated one can stay excluded without another request.
Report uncertainty without losing history
Use labels that say what happened: observed present on a date, supplier-only evidence, check incomplete, or awaiting review. Keep the last successful observation when a later request fails. Replacing it with a blank field loses useful history; presenting it as a fresh success misleads the reader.
When two datasets disagree, compare their observation times before looking for an explanation in the page itself. An older export and a newer successful inspection may both accurately describe different moments.
Return to the discovery versus monitoring distinction when a status mixes research and checking. If an old result leads to new research, follow the opportunity shortlist method and carry its original date forward.
The practical test is simple: can another person tell when the page was actually seen, what was observed, and what remains unchecked? If so, your dates support a decision instead of decorating a report.
Sources
- RFC 9110: HTTP Semantics · IETF · June 2022
