Ad Library

Ad libraries — Meta Ad Library, TikTok Creative Center, LinkedIn — publicly expose ads that advertisers are actively running. Competitive research is only valuable when it changes a decision. Public ad libraries show you what rivals are running and roughly how long it has been live — a strong proxy for what is working, because losers get switched off. The mistake is copying execution instead of reading strategy. Read it next to Competitor Analysis, Creative Teardown, Share of Voice (SOV).

Sample systematically: the same set of competitors, on the same cadence, across the same placements. Record the offer, the hook, the format and how long the asset has been in market. Turn the pattern into a hypothesis you can test in your own account, not into a lookalike file.

Track longevity and repetition rather than volume. An asset live for eight weeks is a stronger signal than fifty assets launched last Tuesday. Watch relative presence over time so you can tell a genuine push apart from routine rotation. Why this matters commercially: Libraries turn every competitor's creative strategy into open research. Winning teams review libraries weekly for the categories they compete in.

Once a pattern is worth testing, Xeli turns it into a template applied across your own catalog in a single run, so you can be in market with your version of the idea inside a day instead of briefing it for a week. In the context of competitive intelligence, that means the concept stops being something a person re-applies by hand every campaign and becomes a rule the system enforces on every asset it produces.

The recurring problems are predictable: only reviewing direct competitors; copying creative without adapting the message; not tracking which competitor ads run longest. Each of these is a process gap rather than a knowledge gap — which is why the fix is usually a checklist, a template or an automated rule instead of more training.