Case Studies

See how teams have built a steadier, more considered approach to AI visibility with SlothlyAI.

Case Study 1

How Meander Co Found Their Rhythm

Meander Co, mid market consumer brand

"We check in once a month and that's plenty. Our reporting rhythm finally matches how we actually make decisions."
Priya Slack, Head of Marketing, Meander Co

Challenge

Meander Co's marketing team had tried a real time AI monitoring tool but found the constant alerts difficult to act on consistently.

Approach

The team switched to SlothlyAI's considered reporting cadence, reviewing their Brand Report once per month alongside their existing marketing reporting cycle.

Result

Meander Co's Sloth Visibility Index has remained in the Steady range for four consecutive cycles, and the team reports spending significantly less time monitoring AI search day to day.

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Case Study 2

Nap Digital's Quarterly Visibility Review

Nap Digital, digital marketing agency

"The Sloth Visibility Index is now part of our quarterly reporting. It has stayed remarkably consistent."
Tom Drowsy, Founder, Nap Digital

Challenge

Nap Digital needed a way to report AI visibility to clients without adding daily monitoring overhead to their account teams.

Approach

Nap Digital rolled out SlothlyAI Workspaces across their client accounts, using the Sloth Visibility Index as a standing line item in quarterly client reviews.

Result

The Sloth Visibility Index has become a core part of Nap Digital's client reporting, valued specifically for how consistent it has remained cycle over cycle.

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Case Study 3

Idle Systems Reduces Reporting Noise

Idle Systems, B2B software company

"We appreciate that SlothlyAI does not overwhelm us with constant updates."
Wendy Loaf, VP Content, Idle Systems

Challenge

Idle Systems' content team was overwhelmed by real time alerts from their previous monitoring setup and struggled to prioritize which updates actually mattered.

Approach

Idle Systems moved to SlothlyAI's monthly summary export and Slack Digest, consolidating updates into a single considered report per cycle.

Result

The team reports a noticeably calmer reporting process, with GEO Guidance recommendations that remain relevant across multiple cycles rather than needing constant revisiting.

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