Solutions · Marketing & growth

Run AI visibility like a growth programme.

Choose which recommendation gaps get your team’s effort, hand each one to the people who can close it, and bring the results to your reviews.

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Topics by demand and naming: hiking boots carry 24% of the demand weight while Kestrel is named in 6% of their answers, against 38% for rain jackets

Choose

Choose the gap that deserves your team’s effort

Weigh each topic by buyer demand, how often AI names you and who leads. Fifth place needs a long build; second may need one proof point.

Seven topics with their questions, how often Kestrel is named, the demand weight and its place: second of five on rain jackets at 38%, fifth on hiking boots at 6%

Assign

Hand every contributor work they can start

One gap often needs content, PR and the web team at once. Each item carries the buyer question, the cited sources and your approved facts, an owner and a due date.

Work in progress: waiting on Kestrel, being made with its owner and due date, and shipped waiting for check, each move with the later reading that will settle it

Review

Bring the result into your growth review

Report the position, the work shipped and what each piece changed. Put more effort behind what worked, and take the next gap from the list.

The monthly client summary for Kestrel Outdoor: named in 19% of answers in August, third behind Alpenway; where the gaps are by topic; the Ridgeline 40L launch page with a clear increase and the size guide rewrite with no clear change; and the next three moves

Rain jackets or hiking boots: where the team goes first.

With more gaps than writers, compare each gap’s demand, position, cause and the work it needs side by side, then hand the team a brief.

Share of answers naming each brand by topic: Alpenway leads rain jackets at 52% against Kestrel’s 38%, and no brand is clearly ahead on hiking boots, where Kestrel has 6%
The Agent finds why Storm Pro is recommended in place of the Summit Shell in 14 of 36 answers: third-party rain tests Kestrel’s own page does not cite
The Agent drafts a brief and asks for approval to file a work item in Linear for the Content team, assigned to Priya Nair: publish the Summit Shell vs Storm Pro comparison page
Kestrel rose from 15% to 24% of answers while ten pieces of work shipped: four verified, one did not improve, two inconclusive and three waiting for a check

1Compare your share with the leader’s in each topic. A share tells you where you stand, not why.

2Find the reason behind each answer, such as a third-party test that covers a competitor’s product and not yours.

3Choose the topic to work on first, and send the approved brief to the team that does the work.

4Follow your share as the work ships. The results show which content formats moved recommendations and which opportunities need a different approach.

Keep exploring.

Questions, answered.

Something else on your mind? Contact us.

No. Being named, being recommended, an AI-referred visit and a conversion are different outcomes. Set the goal for each opportunity first, then judge the work by the measure that matches the goal.

Through the tools they already use. Approved work items go to a tracker such as Linear, reviewed drafts publish to WordPress, and reports land in Notion or Slack.

Yes. Connect Google Analytics 4 and Praised separates AI-referred sessions, the pages they land on and the key events that follow. Recommendations and visits stay separate measures in the review.

It checks a public page’s readiness to be found, understood and cited. Ongoing tracking and work belong in the platform.

Put the team on the gaps worth closing.

Choose the opportunity, hand the work to the people who can close the gap, and judge the result in your next review. Check one page free, or compare plans by the questions and products your programme tracks.