Start with what the market sees.
We record how the business appears when real buyers ask AI assistants for a recommendation, then preserve the answer and the evidence behind it as a usable baseline.
Most businesses have nobody responsible for how they appear in AI. Flaregraph takes responsibility for that work.
Direct the work behind the answer.
We identify the information and entity gaps that matter, prepare implementation-ready changes, and keep every recommendation tied to a diagnosed reason.
Keep one continuing record.
Approved work is verified when it goes live. Later readings return to the same questions, so movement, open work, and new gaps remain visible.
The report is the beginning of the work.
Your report records how AI assistants describe your business, the sources behind those answers, and the work to address each gap. The example below follows one question from finding to next action.
“Which personal injury firms handle truck accidents in Atlanta?”
The firm appears for personal injury, but its truck accident work is missing from the answer.
The firm’s service page lists truck accident cases. Its directory profile describes only general personal injury.
Update the directory description to reflect that service and connect it to the relevant practice page and attorney experience. Then repeat the question and compare the saved answers.
Your AI visibility matters.
Start with the answer your market is getting now.