AEO performance rarely changes all at once. A brand gains one recommendation in ChatGPT, loses another in Gemini, and gets cited by Perplexity for a page nobody on the team knew mattered.
Unless someone repeats every prompt and compares the answers, those shifts stay hidden. The usual fallback is another dashboard that a marketing lead has to remember to open.
Answer engine optimization (AEO) helps your brand earn mentions and citations for the buyer questions you track.
SearchD focuses on AEO for Asian brands entering the US, with a focus on K-beauty.
It tracks whether AI answers mention a brand and cite its pages for saved buyer prompts.
Runbear turns those checks into a scheduled Slack report.
Build the AEO monitor from one Slack thread
Tell Runbear what you want in plain language. The agent creates an AEO monitor, connects SearchD MCP, adds a weekday schedule, and confirms the channel where the report will arrive.
From one Slack request to the first scheduled AEO report.
At the scheduled time, Runbear posts the 0 to 100 AEO score and each saved prompt's result. A mention rate of 1/5 means the brand appeared in one of five checks. A citation rate of 2/5 means two answers linked to the brand's site or content.
The prompt list keeps the AEO score honest
A score without its underlying prompts is hard to trust. It can go up because one broad question changed while the purchase questions that matter stayed flat.
The prompt-level view makes the movement inspectable. A marketing lead can see whether the brand is being named, whether its own site is being cited, and which questions still belong to competitors. The same saved list runs again tomorrow, so changes have a stable baseline.
Set it up from Slack
Open the channel where you want the report, mention Runbear, and describe the monitor in one message:
@Runbear, create an AEO monitor for our SearchD prompts. Connect SearchD MCP, run it every weekday at 9:00 AM, and post the AEO score plus each prompt's mention and citation rate in this channel.
