How to Vet AI Search Statistics
This article does not provide a list of market statistics because no evidence packet reviewed here supports broad adoption, replacement, market-share, or outcome claims. It provides a method for evaluating such claims.
Find the original source
Trace a number past press releases, summaries, and social posts to the report or dataset that produced it. Prefer the responsible primary organization. Confirm that the linked page actually contains the figure and that the publication date is visible.
Recover the denominator and scope
- Who or what was measured?
- How many observations were included?
- Which countries, devices, products, and dates were covered?
- Was behavior observed or self-reported?
- Does “search,” “traffic,” “user,” or “citation” have a specific definition?
Inspect method and incentives
Look for sampling, exclusions, weighting, uncertainty, duplicate handling, and missing data. Record whether the source sells a related service. Commercial interest does not automatically invalidate evidence, but readers need enough information to assess it.
Quote only what the evidence supports
Do not turn growth in one panel into global market share, survey intent into observed behavior, correlation into causation, or a forecast into a current fact. Keep qualifiers and date next to the number. Remove a claim when its original support cannot be checked.
Limits and next step
A repository value, anonymous case study, or proprietary score is not verified merely because it is precise. Preserve the source snapshot and review date so future editors can recheck every published number.