MARKET RESEARCH
SERP Volatility Spike Investigator
When a logged volatility score crosses a spike threshold, an AI agent pulls the before/after SERPs, researches what changed (new pages, ranking competitors, news).
How it runs
The automated pipeline, trigger to output.
- TriggerVolatility spike event fires the investigator
- ActionRetrieve prior and current SERPs for the termBrave Search
- ActionRun follow-up searches on changed domainsBrave Search
- LogicAgent synthesizes root cause and recommendationOpenAI
- ActionWrite findings note to CodaCoda
- OutputPage term owner in Slack with summarySlack
What it does
This is the escalation layer above daily logging. When the volatility score for a brand term spikes past your threshold, an agent investigates: it compares the previous and current Brave SERPs, identifies which domains entered or jumped, runs follow-up searches to understand why (new content, a news event, a competitor launch), and drafts a plain-English explanation with a suggested response. The findings land in Coda and a Slack page alerts the owner.
When to use it
Use it when raw volatility numbers are not enough and you want context on the spike fast — distinguishing a harmless reshuffle from a genuine threat, with a recommended action attached, without an analyst manually digging each time.
How it works
- 1A spike event (volatility crossing the threshold) triggers the agent.
- 2An action step retrieves the prior and current SERPs for the term.
- 3The agent runs follow-up Brave Searches to investigate the changed and newly ranking domains.
- 4A logic step synthesizes a root-cause hypothesis and a recommended response.
- 5An action step writes the findings note to Coda.
- 6An output step pages the term owner in Slack with the summary and recommendation.
Set it up
What you configure once, before turning it on.
- 1Connect Brave SearchWeb, news, image, video search.
- 2Connect CodaDocs, packs, automations.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Connect OpenAIModels, embeddings, files.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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