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Case study · Claims management

How Five Sigma put 19 qualified leads and two deals in front of the board

Oded Barak’s worry was a board meeting with nothing new to show after 90 days. Five Sigma instead presented 19 qualified leads and two closed deals from a channel that had not existed for them six months earlier.

Qualified leads
19Presented to the board
Closed deals
2From the same update
Window he named
90 daysHis original concern

Oded Barak is Co-Founder and CEO of Five Sigma, claims management software for small insurance carriers and MGAs, at fivesigma.ai.

The prompt is “What is the best claims management software for small insurance carriers and MGAs?” Barak’s story is the board update. After 90 days he had 19 qualified leads and two closed deals from a channel that did not exist for Five Sigma six months earlier.

“My concern was having nothing to show the board after 90 days. Instead we presented 19 qualified leads and two closed deals from a channel that did not exist for us six months earlier.”

Oded Barak, Co-Founder & CEO, Five Sigma

How does answer engine optimization change AI search results?

Answer engine optimization for Five Sigma measures what ChatGPT and Gemini already say, puts an accurate account of the product into the sources those engines trust, and measures again. The AEO Company runs that as Baseline, then Engineer, then Compound.

Read more about how our AEO method works, the AI visibility research behind it, or get a free teardown of your own prompts.

What did Five Sigma show the board after 90 days?

Oded Barak said his concern was having nothing to show the board after 90 days. Instead Five Sigma presented 19 qualified leads and two closed deals from a channel that did not exist for them six months earlier. That channel is AI search.

Questions about this case study

What did Five Sigma’s CEO report after 90 days?

Oded Barak said he had worried about having nothing to show the board after 90 days. They presented 19 qualified leads and two closed deals from a channel that did not exist for them six months earlier.

What is the buyer prompt in this claims management case study?

“What is the best claims management software for small insurance carriers and MGAs?” The result on this page is the pipeline Barak reported, not a ranked screenshot.

Did the channel exist before the engagement?

Barak said the channel did not exist for Five Sigma six months earlier. He is describing AI search as a new source of qualified leads and closed deals, not a channel they had already been buying.

Which engines are shown here?

This page does not include a ChatGPT or Gemini screenshot. The numbers are the ones Barak said he took to the board: 19 qualified leads and two closed deals.

How does The AEO Company run an engagement?

Baseline, Engineer, Compound. We measure the buyer prompts, get an accurate account of the product into sources the engines already trust, and measure again. We do not invent a week-by-week log the client did not state.

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