Google AI Overviews And What They Did To Your Traffic

Good versions read like this: mention rate on evaluation prompts rose from two in fifteen to six in fifteen, which we attribute to the three directory corrections completed in week two, though a competitor also stopped publishing during the same period.

You are unlikely to read all of it, and its presence changes the incentives entirely. An agency that knows the raw evidence ships with the report writes a different summary than one that knows it will not be checked.

It cuts both ways. Stale pages with outdated figures get passed over in favour of current ones, and a competitor can displace you by updating a page you have left alone for two years. Dating your content and keeping figures current is a lightweight habit with an outsized effect here.

It is also worth resisting the reflex to prune. Pages that lost their click frequently still earn citations, and a cited page keeps working at the moment somebody is deciding. Deleting a well written answer because its sessions fell removes you from the summary as well as from the results, which converts a partial loss into a total one.

Local businesses have an unusual position here. They are more exposed than most, because a large share of local intent queries are exactly the who should I use questions that assistants answer directly, and they also have a shorter route to fixing it than a national brand does.

Being missing from the five pages that generate your category's answers is a complete explanation on its own, and it is fixable without anyone's permission on the platforms that accept claims and corrections.

One local specific worth checking is how your opening hours and availability are stated across every listing. These are among the details most frequently quoted in local recommendations and among the most likely to be wrong, because they change seasonally and get updated in one place. An assistant confidently telling somebody you are closed is a lost job that leaves no trace in any report.

Do this yourself at least once even if you intend to hire somebody. Reading twenty raw answers about your own market teaches you more about this channel in half an hour than any proposal will, and it makes you a considerably harder client to mislead. You will recognise immediately whether an agency's baseline resembles what you found.

There is a variant of this worth checking separately. Sometimes you appear and the competitor appears above you, which is a different problem from being absent. In that case compare the specificity of the two descriptions rather than the sources: the company described in concrete terms tends to be listed first, because a specific description is easier to justify than a general one.

Decide What the Result Means Four outcomes, each pointing somewhere different. Absent everywhere with a clean robots file and no third party listings usually means an identity and coverage problem. Absent with a blocked crawler or an empty non-JavaScript page means a mechanical problem, which is the good news outcome because it is cheap.

This section sounds procedural and it is the foundation of everything after it. A prompt set quietly edited between runs makes every trend line in the document meaningless, and it is the easiest way to manufacture improvement without doing anything.

The pattern is consistent across most categories. Review platforms, industry publications, documentation, forum threads and comparison articles appear far more often than brand websites. When a brand site is cited it is usually a specification page, a pricing page or a technical document rather than a homepage or a landing page.

Ask for one change and see what happens: request the raw answers and the run counts. An agency doing the work sends them the same day, since they already exist. One that does not will explain why the format makes that difficult. brand mentions in ai answers

Read the Source List Before the Prose Where citations are shown, list every domain and count how often each appears. This is the single most useful output of the whole exercise, and most people skip it because the prose is more interesting.

The shortlist is shorter than a conventional local results page, which raises the stakes on being included. Being fourth on a map still gets calls. Being fourth in a recommendation that names three businesses gets none.

Long sections on activity that produced nothing, described in the language of effort rather than outcome. And the most reliable indicator, a report you cannot disagree with, because it contains no specific claim to test.

Work Completed, in Countable Units Listings claimed, with names. Errors corrected, with the source and what was wrong. Pages published or rewritten, with URLs. Technical changes made, with dates. Outreach attempted and its outcome, including refusals.

Then re-run the same ten prompts a month later and compare. Attributing improvement to a specific fix is only possible because you recorded the starting point, which is the argument for doing the teardown before the work rather than after it.