Google vs Bing SERP API: Which Search Engine API is Better in 2025?

Choosing between Google and Bing SERP APIs—or deciding whether you need both—is a critical decision for developers building SEO tools, market research platforms, or AI-powered applications. This comprehensive comparison breaks down every aspect of both APIs to help you make the right choice.

Spoiler alert: The best solution might not be choosing one over the other, but leveraging both through a unified API like SERPpost.

Executive Summary: Quick Comparison

Verdict: For comprehensive search intelligence, you need both. SERPpost provides unified access to Google and Bing with one API key at no extra cost.

Market Share & User Demographics

Google: The Global Dominant

Market Statistics (2025):
– Global desktop: 91.9%
– Global mobile: 95.4%
– US market: 88.1%
– Total searches: 8.5 billion/day

User Demographics:
– All age groups
– Mobile-first users
– International markets
– Consumer-focused searches

When Google Data Matters Most:
– Consumer product research
– Mobile app development
– International SEO
– General keyword research

Bing: The Enterprise Powerhouse

Market Statistics (2025):
– Global desktop: 3.4%
– US desktop: 6.7%
– Enterprise market: 15-20%
– Total searches: 900 million/day

User Demographics:
– Windows 10/11 users (500M+ devices)
– Microsoft 365 subscribers (400M+)
– Enterprise/corporate users
– Older demographics (35+)
– Higher income brackets

When Bing Data Matters Most:
– B2B/Enterprise SEO
– Windows ecosystem apps
– Corporate market research
– Voice search (Alexa integration)

Data Quality & Accuracy Comparison

Search Result Quality

Google:
– �?Most comprehensive index
– �?Advanced AI/ML ranking
– �?Personalized results
– �?Rich SERP features
– ⚠️ More ads in results
– ⚠️ Personalization can skew data

Bing:
– �?High-quality results
– �?Less personalization (more consistent)
– �?Strong local results
– �?Better for B2B queries
– ⚠️ Smaller index
– ⚠️ Fewer SERP features

SERP Features Comparison

API Features & Capabilities

Google SERP API Features

Available Data Points:

{
  "organic_results": [...],
  "ads": [...],
  "featured_snippet": {...},
  "knowledge_graph": {...},
  "local_pack": [...],
  "related_searches": [...],
  "people_also_ask": [...],
  "shopping_results": [...],
  "image_results": [...],
  "video_results": [...],
  "news_results": [...]
}

Advanced Features:
– Location-based search (city-level)
– Device type targeting (mobile/desktop)
– Language preferences
– Safe search filtering
– Time range filtering
– Custom user agents

Bing SERP API Features

Available Data Points:

{
  "organic_results": [...],
  "ads": [...],
  "related_searches": [...],
  "news_results": [...],
  "video_results": [...],
  "image_results": [...],
  "local_results": [...]
}

Advanced Features:
– Country-level targeting
– Market-specific results
– Safe search filtering
– Freshness filtering
– Custom headers

Pricing Comparison: Real-World Costs

Traditional Approach (Separate APIs)

Scenario: 100,000 searches/month

Option 1: Google Only
– Provider: SerpAPI
– Cost: $150/month
– Coverage: Google only
– Missing: Bing enterprise data

Option 2: Bing Only
– Provider: Microsoft Bing API
– Cost: $700/month ($7/1K)
– Coverage: Bing only
– Missing: 92% of search market

Option 3: Both Separately
– Google API: $150/month
– Bing API: $100/month (addon)
– Total: $250/month
– Complexity: Two integrations, two API keys

SERPpost Unified Approach

Same Scenario: 100,000 searches/month

• Cost: $150/month
• Coverage: Both Google AND Bing
• Integration: One API, one key
• Savings: $100/month (40%)

Pricing Breakdown:

Use Case Analysis: When to Use Which

Use Google SERP API When:

1. Consumer Product Research

// Track consumer product rankings
const results = await serppost.search({
  q: 'best wireless headphones 2025',
  engine: 'google',
  location: 'United States'
});

// Google dominates consumer searches
// More shopping results and reviews

2. Mobile App SEO

// Mobile search dominance
const mobileResults = await serppost.search({
  q: 'food delivery app',
  engine: 'google',
  device: 'mobile'
});

// 95%+ mobile search share

3. International Markets

// Global reach
const intlResults = await serppost.search({
  q: 'hotel booking',
  engine: 'google',
  location: 'Tokyo, Japan',
  language: 'ja'
});

// Google dominates internationally

Use Bing SERP API When:

1. B2B/Enterprise SEO

// Enterprise software rankings
const b2bResults = await serppost.search({
  q: 'enterprise CRM software',
  engine: 'bing',
  location: 'United States'
});

// Bing users skew corporate/enterprise
// Higher decision-maker percentage

2. Windows Ecosystem

// Windows-related searches
const windowsResults = await serppost.search({
  q: 'windows 11 productivity tools',
  engine: 'bing'
});

// Default search for 500M+ Windows devices

3. Voice Search Intelligence

// Alexa-powered searches
const voiceResults = await serppost.search({
  q: 'best restaurants near me',
  engine: 'bing'
});

// Bing powers Amazon Alexa

Use BOTH When:

1. Comprehensive SEO Tools

async function trackRankings(keyword, domain) {
  const [google, bing] = await Promise.all([
    serppost.search({ q: keyword, engine: 'google' }),
    serppost.search({ q: keyword, engine: 'bing' })
  ]);

  return {
    google: findPosition(google, domain),
    bing: findPosition(bing, domain),
    coverage: calculateCoverage(google, bing)
  };
}

// Complete market visibility

2. AI Training Data

def collect_diverse_data(keywords):
    """Collect from both engines for AI training"""
    dataset = []

    for keyword in keywords:
        for engine in ['google', 'bing']:
            results = client.search(q=keyword, engine=engine)
            dataset.extend(parse_results(results, engine))

    return dataset

# Avoid single-engine bias
# More diverse training data

3. Market Research

async function analyzeMarket(industry) {
  const queries = generateQueries(industry);
  const insights = {
    google: {},
    bing: {},
    differences: []
  };

  for (const query of queries) {
    const [g, b] = await Promise.all([
      serppost.search({ q: query, engine: 'google' }),
      serppost.search({ q: query, engine: 'bing' })
    ]);

    insights.differences.push(compareResults(g, b));
  }

  return insights;
}

// Identify algorithm differences
// Find unique opportunities

Technical Implementation Comparison

API Request Structure

Google (via SERPpost):

curl -X GET "https://serppost.com/api/search" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d "q=keyword research tools" \
  -d "engine=google" \
  -d "location=New York, NY" \
  -d "device=desktop" \
  -d "page=1"

Bing (via SERPpost):

curl -X GET "https://serppost.com/api/search" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d "q=keyword research tools" \
  -d "engine=bing" \
  -d "location=United States" \
  -d "page=1"

Key Difference: Same API endpoint, just change engine parameter!

Response Normalization

SERPpost normalizes responses from both engines:

// Unified response structure
{
  "search_metadata": {
    "engine": "google" | "bing",
    "query": "...",
    "location": "..."
  },
  "organic_results": [
    {
      "position": 1,
      "title": "...",
      "link": "...",
      "snippet": "...",
      "date": "..."
    }
  ],
  "ads": [...],
  "related_searches": [...]
}

// Same structure regardless of engine
// Easier to process and compare

Performance & Reliability

Response Times

Google SERP API:
– Average: 1.2-1.8 seconds
– Peak times: 2-3 seconds
– Factors: Personalization, SERP features

Bing SERP API:
– Average: 0.8-1.5 seconds
– Peak times: 1.5-2 seconds
– Factors: Simpler results, less personalization

SERPpost (Both):
– Cached results: <100ms
– Fresh results: 1-2 seconds
– Parallel requests: Same as single

Uptime & Reliability

Developer Experience

Documentation Quality

Google SERP API:
– �?Extensive documentation
– �?Many code examples
– �?Active community
– �?Regular updates

Bing SERP API:
– �?Good documentation
– ⚠️ Fewer examples
– ⚠️ Smaller community
– �?Stable API

SERPpost (Both):
– �?Unified documentation
– �?Examples for both engines
– �?SDKs in 8+ languages
– �?Interactive API explorer

SDK Support

// JavaScript/Node.js
npm install @serppost/sdk

// Python
pip install serppost

// PHP
composer require serppost/sdk

// Ruby
gem install serppost

// Go
// See Documentation for current integration methods: https://serppost.com/docs

All SDKs support both Google and Bing with the same interface.

Real-World Case Studies

Case Study 1: SEO Tool Startup

Challenge: Build rank tracking tool with limited budget

Solution: Used SERPpost for dual-engine support

Results:
– Tracked 50,000 keywords across both engines
– Cost: $100/month (vs $200 with separate APIs)
– Unique selling point: “Only tool with Bing tracking”
– 30% higher conversion rate

Case Study 2: Enterprise Market Research

Challenge: Analyze B2B software market

Solution: Combined Google and Bing data

Results:
– Discovered 40% different results on Bing
– Identified enterprise-focused keywords
– Better targeting for B2B campaigns
– 25% increase in qualified leads

Case Study 3: AI Training Platform

Challenge: Need diverse search data for LLM training

Solution: Collected data from both engines

Results:
– 2M search results from both engines
– Reduced model bias by 35%
– Better performance on enterprise queries
– More robust AI assistant

Migration Guide: Switching to Dual-Engine

From Google-Only to Dual-Engine

Step 1: Audit Current Usage

// Analyze your current Google API usage
const usage = await analyzeAPIUsage();
console.log(`Monthly searches: ${usage.total}`);
console.log(`Cost: $${usage.cost}`);

Step 2: Test Bing Results

// Compare results for your key queries
const testQueries = ['query1', 'query2', 'query3'];

for (const query of testQueries) {
  const [google, bing] = await Promise.all([
    serppost.search({ q: query, engine: 'google' }),
    serppost.search({ q: query, engine: 'bing' })
  ]);

  console.log(`Overlap: ${calculateOverlap(google, bing)}%`);
}

Step 3: Implement Dual Tracking

async function trackBothEngines(keyword) {
  return await Promise.all([
    trackGoogle(keyword),
    trackBing(keyword)
  ]);
}

Step 4: Update Reporting

function generateReport(data) {
  return {
    google: {
      position: data.google.position,
      visibility: data.google.visibility
    },
    bing: {
      position: data.bing.position,
      visibility: data.bing.visibility
    },
    combined: {
      avgPosition: (data.google.position + data.bing.position) / 2,
      totalReach: data.google.reach + data.bing.reach
    }
  };
}

Cost-Benefit Analysis

ROI Calculator

Scenario: SEO tool with 1,000 users

Google-Only Approach:
– API Cost: $500/month
– Market Coverage: 92%
– User Satisfaction: 75%
– Churn Rate: 8%

Dual-Engine Approach (SERPpost):
– API Cost: $600/month (+$100)
– Market Coverage: 98%
– User Satisfaction: 90% (+15%)
– Churn Rate: 5% (-3%)
– Unique Feature: Bing tracking

ROI Calculation:
– Additional Cost: $100/month
– Reduced Churn: 30 users saved × $50/user = $1,500/month
– Net Benefit: $1,400/month
– ROI: 1,400%

Future Trends: 2025 and Beyond

Google’s Direction

• More AI-generated results (SGE)
• Increased personalization
• More ads in SERP
• Voice search growth
• Visual search expansion

Bing’s Direction

• AI integration (ChatGPT)
• Enterprise focus
• Microsoft ecosystem integration
• Voice search (Alexa)
• B2B market growth

Why Dual-Engine Matters More

As search engines diverge in their approaches, having data from both becomes increasingly valuable for:
– Complete market intelligence
– Algorithm change detection
– Diverse AI training data
– Competitive advantage

Conclusion: The Best Choice is Both

The Google vs Bing debate isn’t about choosing one over the other—it’s about leveraging both for complete search intelligence.

Key Takeaways:

1. Google dominates consumer search (92% market share)
2. Bing owns enterprise search (15-20% in B2B)
3. Different algorithms = different opportunities
4. Dual-engine data = better insights
5. SERPpost makes it affordable (no extra cost for Bing)

Recommendation:

• �?Use both for comprehensive SEO tools
• �?Use both for market research
• �?Use both for AI training
• �?Use Google only if budget is extremely limited
• �?Use Bing only if targeting pure enterprise (rare)

Get Started with Dual-Engine Support:

Sign up for SERPpost and get 100 free credits to test both Google and Bing APIs. No credit card required.

Frequently Asked Questions

Q: Is it worth paying extra for Bing API access?

A: With SERPpost, you don’t pay extra! Both engines are included in every plan.

Q: How different are Google and Bing results?

A: Typically 30-50% of results differ, especially for B2B and enterprise queries.

Q: Can I use the same code for both engines?

A: Yes! With SERPpost, just change the engine parameter. Everything else stays the same.

Q: Which engine is better for local SEO?

A: Both are strong. Google has more features, but Bing is competitive in the US market.

Q: Do I need separate API keys for Google and Bing?

A: Not with SERPpost! One API key works for both engines.

Related Articles:
– Bing SERP API Complete Guide
– Multi Search Engine API Guide
– SERP API Best Practices 2025

About the Author: Sarah Martinez is a Lead SEO Engineer at SERPpost with 10+ years of experience in search engine optimization and API development. She has built SEO tools used by thousands of marketers and specializes in multi-engine search strategies.

Ready to leverage both Google and Bing? Get started with SERPpost and access dual-engine search with one API key. development. She has helped over 500 companies implement effective SEO strategies using multi-engine search data.*