Prompt
Do I need webhooks if I already have polling APIs?
Latest observation
Not necessarily.
If you already have polling APIs, you do not need webhooks unless you want one or more of these benefits:
- Lower latency: get notified almost immediately instead of waiting for the next poll.
- Less unnecessary traffic: avoid repeated “nothing changed” requests.
- Scalability/cost efficiency: fewer API calls at high scale.
- Event-driven workflows: easier to trigger actions when something happens.
Polling is enough when:
- Updates are not time-sensitive
- Event volume is low
- Simplicity matters more than instant delivery
- You control the polling interval and it’s acceptable
Webhooks are better when:
- You need near real-time updates
- Polling would be expensive or rate-limited
- You want to react automatically to changes
- You’re integrating systems that can receive callbacks
Common approach
Many systems use both:
- Webhooks for immediate notification
- Polling as a fallback or reconciliation mechanism in case a webhook is missed
If you tell me your use case, I can help you decide which one fits better.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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