Use case
Competitive intelligence with the collection automated
Ads, landing pages, messaging, and momentum for every rival, gathered daily so the analyst does analysis instead of screenshots.
The short answer
Waldo automates the collection layer of competitive intelligence. Every tracked competitor gets daily scans of their ads, posts, mentions, and landing pages, stored permanently. Analysts pull diffs on a schedule, ask questions over MCP, and spend their time on implications instead of screenshots. Every claim in the battlecard links to a source.
The job to be done
Most competitive intelligence time is not intelligence, it is collection: tabs, alerts, newsletters, and screenshots pasted into a battlecard that is stale by the next sales call. The analyst serving sales, product, and marketing at once becomes a human RSS feed, and the interesting questions, what does this move mean and what comes next, get whatever minutes are left.
The job splits cleanly: machines should gather, analysts should interpret. That requires a competitor file that maintains itself, ads, pages, posts, and mentions collected daily, diffable over time, and stored permanently so the record outlives the competitor’s own edits and deletions.
How Waldo does it
Track the full surface
MCP: brand_overview keeps a current file per competitor: owned activity, earned mentions, and paid presence, refreshed every 24 hours across the whole tracked set.
Diff instead of re-reading
GET /brands/{id}/ads/active?since= returns only what changed since the last pull, so the weekly review starts from deltas: new creatives, changed offers, retired campaigns.
Let the website tell the story
GET /brands/{id}/lp-changes flags landing page changes, which is where repositioning shows up first: new headline claims, reworked pricing pages, a vertical quietly added to the nav.
Deliver where decisions happen
Over MCP the file is queryable from Claude, ChatGPT, or Copilot mid-deal, and API crons keep the battlecards current without anyone re-pasting screenshots.
The endpoints
MCP: brand_overviewThe competitor file: activity, mentions, and paid presence/brands/{id}/ads/active?since=Deltas only, built for the weekly review cron/brands/{id}/lp-changesWhere repositioning shows up firstMCP: category_trendsThe category motion your rivals are reacting toQuestions teams ask
How does this differ from Crayon or Klue?
Those platforms center on sales enablement workflows. Waldo is the data layer: raw and scored competitor intelligence over API and MCP that your own agents and tools consume. The comparison page covers where each fits.
What happens when a competitor deletes something?
The capture survives. Everything Waldo stores is permanent, text, images, video, and metrics, so a retracted claim or a pulled campaign remains in the file with its source link.
Is competitor data safe to centralize here?
Workspaces are isolated, Waldo is SOC 2 compliant, and customer data is never used for training. Scoped keys let you give each team read access to exactly what it needs.
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Put Waldo behind your agents
Brand, category, and audience intelligence over 200+ API and MCP endpoints. Sign up, mint a key, and run it against the brands you actually track.