Hello, lovely people 👋
I am pleased to launch the Geekflare Search API today.
Traditional SERP API responses are noisy. Feeding large JSON payloads, ads, and metadata into an LLM wastes tokens.
Geekflare Search API strips out the junk and delivers token-efficient data through 3 modes.
1. Standard Search to get clean results (URL, title, snippet, position) for context gathering.
2. Search with Scrape to get search results plus the extracted text from the top 3 URLs in a single API call.
3. Search with Grounded Answer to get an AI-synthesized answer alongside the search sources for citation.
Our goal is to make it as simple and cost-effective as possible to give your AI applications real-time web access. You can create a free account to test the Search API with Grounded Answers in Playground.
We would love to hear what you think. Please let me know if you have any questions.
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Congrats on the launch, Chandan. I tried the Playground with a query and liked how quickly it returned usable context without making me dig through a full noisy SERP response.
The “Search with Grounded Answer” mode stood out to me most. For AI apps, the hard part is not just getting search results, it is getting an answer with enough clean source-backed context that a developer can actually trust it and pass it into their workflow.
Curious how you think about that trust layer. When a user gets a grounded answer, are you mainly optimizing for source quality, answer completeness, token efficiency, or making it easier for developers to judge whether the answer is good enough to use?
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Geekflare
Congrats on the launch, Chandan. I tried the Playground with a query and liked how quickly it returned usable context without making me dig through a full noisy SERP response.
The “Search with Grounded Answer” mode stood out to me most. For AI apps, the hard part is not just getting search results, it is getting an answer with enough clean source-backed context that a developer can actually trust it and pass it into their workflow.
Curious how you think about that trust layer. When a user gets a grounded answer, are you mainly optimizing for source quality, answer completeness, token efficiency, or making it easier for developers to judge whether the answer is good enough to use?