Comparison
Waldo vs. SparkToro: two kinds of audience homework
SparkToro tells you where an audience spends attention. Waldo hands your agents what that audience says, and what brands are running at it.
The short answer
SparkToro is a self-serve audience research tool: it shows where an audience spends attention, what it reads, watches, and follows, on published plans with a free tier. Waldo hands agents the material itself: raw posts, ads, and audience verbatims, plus scored analysis, over 200+ credit-metered API and MCP endpoints.
SparkToro, built by Rand Fishkin and Casey Henry, made audience research something one marketer can finish in an afternoon: describe an audience and get back the websites it visits, the podcasts it listens to, the YouTube channels, social accounts, and publications it follows, and the keywords it searches, demographics included. It is genuinely self-serve, with a free tier and published plans a small team can buy today.
Waldo starts where that answer stops. Where an audience spends attention is the map; Waldo carries the conversation itself, the ads brands aim at that audience, the pages those ads land on, and GWI panel data, all served through 200+ REST endpoints and a native MCP server so agents can work from the material directly.
When each one wins
Choose Waldo when
- The question is what the audience says and sees, not only where it spends time: verbatims, ads, and category conversation.
- Agents do the reading, so the data needs to arrive over API and MCP, not as a report a person skims.
- Competitor advertising belongs in the audience picture, tracked daily from the Meta and Google ad libraries.
- You want GWI audience panels and live conversation in one surface, with credits metering actual usage.
Choose SparkToro when
- You want fast, affordable answers to where an audience spends attention, with nothing to set up.
- Podcast, publication, and channel lists for PR, sponsorships, and partnerships are the deliverable.
- A free tier and published self-serve plans let a solo marketer or small team start today.
- You want readable reports a non-technical teammate can act on the same hour.
Feature by feature
| Feature | Waldo | SparkToro |
|---|---|---|
| Built for | Agents and the teams that run them | Marketers doing hands-on audience research |
| Primary surface | 200+ REST endpoints plus a native MCP server | A self-serve web app with readable reports |
| What a query returns | Raw posts, ads, page snapshots, and verbatims, or scored analysis | Attention sources: the sites, podcasts, channels, and accounts an audience follows |
| Coverage model | Brand, category, and audience in one surface | Audience behavior and where attention goes |
| Paid ads intelligence | Meta and Google ad libraries tracked daily per brand | Not part of the product |
| Data freshness | Tracked entities refresh every 24 hours; Discover endpoints query platforms live | Behavioral datasets refreshed on the platform’s schedule |
| Pricing | Credit-metered, no per-seat fees | Free tier and published self-serve plans |
Where Waldo is different
Verbatims, not just venues
/audiences/{id}/conversations returns what an audience actually says, as source-linked verbatims, so an agent can quote the audience in a brief instead of inferring its opinions from where it hangs out.
The paid layer attached
The Meta and Google ad libraries are tracked daily per brand, and the discover_ads MCP tool surfaces what competitors aim at the same audience, next to the conversation it lands in.
Panels next to posts
GWI audience panels are licensed into the layer, so stated attitudes and observed behavior sit in the same surface, and every output links back to its sources.
Built for the agent workflow
The MCP server installs with one block in mcp.json or as an org-wide connector, and works in Claude, ChatGPT, and Copilot. Audience data lands where the strategy work already happens.
Questions teams ask
Do Waldo and SparkToro compete?
Less than the shared word audience suggests. SparkToro answers where an audience spends attention; Waldo carries what that audience says, what brands run at it, and the panel data behind it, delivered to agents. Some teams use SparkToro to scope an audience and Waldo to work it.
Can Waldo list the podcasts my audience listens to?
That ranked-list-of-attention-sources report is SparkToro’s specialty, and it is good at it. Waldo’s audience layer is built around conversation verbatims, GWI panels, and the ads and pages aimed at an audience, served raw or scored over API and MCP.
How do I evaluate Waldo?
The beta is self-serve: sign up at /build/get-started, let the wizard mint an API key, and point audience_insights at an audience you know well. If the verbatims teach you something the attention map did not, you have your answer.
Keep reading
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.