Why Spydomo vs AI Agents
AI agents are powerful — especially for prototypes and one-off research. Spydomo is built for repeatable competitive awareness with traceability and consistent output.
Spydomo combines automation + AI (including GPT) with sourcing, memory, scoring, trend logic, and workflow — so your team gets dependable signals without maintaining an “agent project.”
Agents are great when
- You’re prototyping an internal workflow
- You have an owner who can tune + debug
- “Good enough” is acceptable
Spydomo is great when
- You need reliable weekly output
- Your team needs a consistent UX
- You care about sources and trust
DIY / Agent Stack
Flexible, but you maintain it
Spydomo
Productized competitive awareness
Time to value
Manual
Setup, connect tools, define prompts, test, iterate.
Included
Pick companies/groups. Signals start flowing automatically.
Reliability
Varies
Brittle over time: drift, broken parsers, changing pages, edge cases.
Included
Designed for repeatability: stable pipeline and consistent output.
Total cost of ownership
Manual
An agent becomes a project you maintain, debug, and retune over time.
Included
Spydomo is a maintained system with consistent output and a workflow your team can rely on.
Source traceability
Varies
Depends how you build it; often hard to audit quickly.
Included
Every insight points back to its original source.
Memory & history
Manual
You build storage, baselines, and “what changed?” logic.
Included
Built-in history, comparisons, and change detection.
Noise filtering
Varies
Easy to over-collect and flood yourself with output.
Included
Curated signals: scoring, bucketing, and relevance-first UX.
Team adoption
Varies
Often operator-driven (one person runs it).
Included
A shared product: UI, workflow, and consistent expectations for everyone.
What you actually buy
Manual
A custom automation you own.
Included
A competitive awareness system built for your use case.