Included in your plan
Ongoing Freshness and Content Refresh
Monthly updates to your existing library so older posts keep earning citations instead of going stale.
Short answer: Every month we revisit two to three older articles and bring them current: new data, updated quotes, and direct-answer blocks re-tuned to the questions buyers are asking now. Generative engines prefer sources that look maintained, so a library that is actively updated keeps compounding while a static one slowly stops being cited.
Why freshness matters more in AI search than in classic search
A classic index can keep serving an old page indefinitely if the links are strong enough. An assistant assembling an answer is far more sensitive to whether a source appears current, because stating outdated facts is a visible failure for the model.
That makes maintenance a ranking input rather than housekeeping. Content that is never revisited quietly loses the citations it once earned.
- Two to three posts refreshed every month
- New statistics substituted as better-sourced figures become available
- Direct-answer blocks rewritten as buyer questions shift
- Internal links updated so new posts strengthen older ones
How we choose what to refresh
Refresh candidates come out of visibility scanning: posts that used to get cited and no longer do, posts targeting a query where a competitor has overtaken you, and posts containing figures that now have a newer published source.
Questions about ongoing freshness & refresh
- Do refreshed posts change URL?
- No. We update in place so the existing URL keeps whatever authority it has accumulated. Changing the URL would discard that.
- Is refresh work instead of new articles, or on top?
- On top. The monthly cadence of six to eight new articles is separate from the two to three refreshes.
Everything above is included
$1,499/month, no contract, cancel anytime. There is no separate charge for any individual piece of the service — the whole engine runs on one flat plan.