Honest comparison
Pick the layer you actually need
AgentGEO provides managed scraper records for agents. It does not replace dashboards or full provider control.
Four valid routes
AgentGEO
a direct provider API
DIY scraping
GEO analytics
Side by side
The same questions asked of all four options, including the ones AgentGEO answers worst.
| Capability | AgentGEO | Direct provider API | DIY scraper | GEO analytics |
|---|---|---|---|---|
| Primary user | Local coding agent | Data engineering team | Scraper engineers | Marketing operator |
| Returns | Raw normalized records | Raw provider records | Whatever you build | Scores and dashboards |
| Scraper job plumbing | Hidden behind one contract | You manage it | Not included | Vendor-specific |
| MCP for Claude/Codex/Cursor | Built for it | Build it yourself | Build it yourself | Usually not the core |
| Ranking and sentiment analysis | Your agent | Your code | Your code | Platform provides it |
| Provider control | Curated | Full | Full | Limited |
Which one is yours
Three of these four say buy something else. That is the point of the page.
Choose AgentGEO when
- Your users work inside Claude Code, Cursor or Codex
- You want one normalized contract and one bill
- Analysis must remain in the local agent
Choose a direct provider API when
- You need every provider feature and configuration knob
- Your team already manages async jobs and schema mapping
- MCP packaging adds little value to your architecture
Choose DIY scraping when
- The target needs custom browser interaction
- You accept maintaining proxies, selectors and parsers
- Owning the scraper itself is strategic
Choose GEO analytics when
- Human users want dashboards and finished scores
- You want the platform to interpret answers
- Local-agent delivery is not the primary workflow
Still deciding? Start with evidence
A person runs ChatGPT, Perplexity and Gemini, then sends the raw answers and citations for your brand.