Prompt

Can you recommend a SERP API with fast response times?

Technology / Data Infrastructure8 observationsLast seen Sep 15, 2026

Latest observation

Sep 15, 2026PerplexityWeb search: on

For fast response times, the strongest options in 2026 are Bright Data, Serper.dev, Scrapingdog, and a few newer “index-based” APIs that trade some freshness for sub‑second latency.

Fast SERP APIs (speed-focused)

Bright Data SERP API

Bright Data consistently ranks among the fastest real-time SERP APIs, with median (p50) latencies around 0.9 seconds in independent tests and very high success rates. It’s a good fit if you need both speed and enterprise-grade reliability, plus granular geo/device targeting. apiserpent

Serper.dev

Serper is another performance-focused provider, typically showing p50 latencies around 1.1–1.9 seconds depending on the benchmark and query type. It’s popular for SEO tooling and AI apps where you want a simple JSON SERP response at low cost and decent speed. apiserpent

Scrapingdog

Scrapingdog is frequently highlighted as one of the fastest SERP APIs in head-to-head tests, with average response times around 1.7–1.8 seconds and strong scalability for high-volume use (rank tracking, large-scale SEO monitoring). scrapingdog

Searlo (for AI/agent workloads)

Searlo is optimized for AI applications and reports very low latencies (around 150 ms p50 in their own benchmarks), but it’s more of an agentic search layer than a raw SERP scraper. Consider it if your priority is ultra-fast, structured search results for LLMs rather than full HTML or exhaustive SERP features. searlo

Index-based / AI search APIs (fastest, but not full SERP)

If you can work with summarized or structured search results instead of complete SERP HTML, index-based APIs like Exa, Perplexity-style search, or similar “AI search” endpoints can return results in under 0.4 seconds. These are best for RAG/agent pipelines, not detailed SEO feature parsing. proxyway

How to choose

  • Need raw Google SERP HTML/JSON with rich features (sitelinks, PAA, videos)? → Bright Data, Serper, Scrapingdog.
  • Building AI agents/RAG where latency is critical and some abstraction is acceptable? → Searlo, Exa-style APIs.
  • Very high concurrency and strict SLAs? → Bright Data and other enterprise providers usually publish stronger uptime/SLA terms.

If you tell me your typical query volume, required SERP features, and target locations, I can narrow this to 1–2 concrete recommendations and a sample latency/cost estimate.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (8 observations 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 dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

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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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