SERP API Benchmark 2026: 6 Providers Tested Across 1,009 Queries

As AI Overviews continue to gain coverage in Google SERPs, the differences between SERP APIs are no longer limited to “whether organic results are accurate.” They now extend to coverage of rich modules such as AI Overview, People Also Ask, and Knowledge Graph.

This report is based on 1,009 real queries tested across 6 SERP APIs: TalorData, SerpApi, Bright Data, Oxylabs, bd_fast, and Serper. Results are reported across 8 quantifiable dimensions.

View raw data.

Methodology

Query Set Design (1,009 queries total)

The 1,009 queries were sampled via stratified sampling by language and query syntax, covering five dimensions including Chinese/English bare queries, quoted phrases, and the site: operator:

Scoring Dimensions

Overall Ranking

Overall scores for the six providers across 1,009 queries (out of 100, calculated using the public weighting rules at talordata.com/products/serp-comparison):

Observations:

· TalorData, SerpApi, and Bright Data are within 1.4 points of each other; the differences mainly appear in individual dimensions.

· Oxylabs scores high in Precision and Recall (80.72 / 94.32), but its Rich-Fields coverage is only 40 and SERP Features only 5.4, which pulls down its overall score on field breadth.

· bd_fast and Serper are close to zero on Rich Fields and SERP Features, positioning them as lightweight / cost-effective APIs better suited for use cases that only require core organic results.

· Serper’s overall ranking aligns with its product positioning of covering only core organic and a few high-frequency modules; it is not an indicator of ‘low quality.’

8-Dimension Detailed Data

Complete data table (sorted by overall score, descending):

Dimension-by-Dimension Analysis

Zero-Result Rate

The Zero-Result Rate is the share of the 1,009 queries for which the API returned no results. This metric has significant impact in latency-critical scenarios such as AI Agents and real-time retrieval, often requiring additional fallback logic to compensate.

Observations:

· Four providers — Oxylabs (1.3%), TalorData (2.1%), SerpApi (2.3%), and Bright Data (2.4%) — all have zero-result rates below 3%.

· bd_fast (9.5%) and Serper (12.6%) have relatively higher zero-result rates; production deployments typically need extra retry or multi-source strategies to compensate.

Precision × Recall × F1

Using browser-captured SERPs as Ground Truth, each provider’s returned fields are compared item by item. Precision reflects the accuracy of field values, Recall reflects the completeness of field coverage, and F1 is the harmonic mean of the two.

Observations:

· Oxylabs has a relatively high F1 (86.99) among the six providers, with Bright Data (85.05) and TalorData (84.00) close behind.

· Serper’s F1 (63.84) is noticeably lower than the others, directly tied to its Recall of just 61.37%, reflecting its lightweight product positioning.

· The F1 gap among the top three is within 1 point. Choosing a provider based on F1 alone may lead to misjudgment; decisions should account for the field requirements of the specific use case.

AI Overview Coverage

AI Overviews are a search feature whose coverage continues to expand in Google in 2026. Whether a SERP API can reliably return the structured data of this module determines its usability in GEO (Generative Engine Optimization) and brand-citation monitoring scenarios.

Observations:

· SerpApi (69.38%) and TalorData (64.52%) both have AI Overview coverage above 60%, and are the two APIs in this benchmark that reliably return this module.

· Bright Data’s full version returns AI Overview at 3.17%, while bd_fast, Oxylabs, and Serper did not return the AI Overview field in this test.

· AI Score reflects overall usability in AI scenarios: SerpApi (60.66) and TalorData (60.50) are nearly tied, with Bright Data (41.83) in third place.

Rich-Fields Coverage

Rich Fields include People Also Ask, Related Searches, Date, Knowledge Graph, Answer Box, Sitelinks, and so on, reflecting an API’s ability to parse non-organic regions of the SERP.

Observations:

· TalorData (85.1), Bright Data (83.2), and SerpApi (83.1) have nearly identical Rich-Fields coverage, with the gap within 2 points.

· Oxylabs’s Rich-Fields coverage is 40; the main gaps are in PAA, Date, and Answer Box.

· bd_fast’s Rich-Fields coverage is 0 — a typical lite-product positioning that returns only core organic results.

Scenario-Based Selection Guidance

Based on the measured data from this benchmark, selection preferences for different business scenarios are as follows. Each recommendation is accompanied by data support so readers can verify against their own needs:

Note: ‘Option A / B’ in this table is a side-by-side recommendation based on the closeness of the relevant dimensions in this benchmark. Actual selection should still consider query volume, pricing plans, and other factors.

Appendix A: Pricing Reference

Billing models and pricing units differ between providers (subscription, pay-as-you-go, credits, etc.). Please refer to each provider’s official site for pricing based on your business scale.