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LLM Providers

Compare the four major LLM providers integrated into AEO/GEO Analytics and understand their unique citation behaviors.

Provider Overview

AEO/GEO Analytics supports four leading LLM providers:

  1. Claude (Anthropic)
  2. GPT-4 (OpenAI)
  3. Gemini (Google AI)
  4. Perplexity

Each has distinct characteristics, costs, and citation patterns.

Claude (Anthropic)

Overview

Model: claude-sonnet-4-5-20250929 Developer: Anthropic Training Cutoff: April 2024 Real-Time Search: No (base model only)

Citation Characteristics

Citation Rate: ⭐⭐⭐⭐⭐ (Highest)

  • Average: 6-10 citations per response
  • Consistent across query types
  • Explicit URL formatting

Citation Style:

"According to Family Handyman (https://familyhandyman.com/...),
the first step is to turn off the water supply..."

Source Preferences:

  • Educational how-to sites
  • Expert guides
  • Established authorities
  • Tutorial content

Best For:

  • High-quality citation analysis
  • How-to query testing
  • Educational content validation
  • Comprehensive source coverage

Performance

Strengths:

  • Highest citation rate
  • Clear source attribution
  • Detailed, thorough responses
  • Strong reasoning

Limitations:

  • Higher cost ($0.003/query)
  • No real-time web access
  • Training data cutoff (older content only)

When to Use:

  • Primary testing provider
  • Quality over quantity
  • Authority building analysis
  • Comprehensive research

Cost

Pricing: ~$0.003 per query Per 100 Queries: ~$0.30 Best Value: For high-quality citations

GPT-4 (OpenAI)

Overview

Model: gpt-4-turbo-preview Developer: OpenAI Training Cutoff: April 2023 Real-Time Search: No (base model)

Citation Characteristics

Citation Rate: ⭐⭐⭐⭐ (High)

  • Average: 4-8 citations per response
  • Varies by query complexity
  • Mix of URLs and source names

Citation Style:

"Several sources recommend starting with these steps:
- Home Depot's guide suggests...
- This Old House recommends...
(Sources: homedepot.com, thisoldhouse.com)"

Source Preferences:

  • Review sites
  • E-commerce guides
  • Comparison articles
  • Mainstream authorities

Best For:

  • Balanced citation analysis
  • Comparison query testing
  • Product recommendation validation
  • Industry-standard benchmarking

Performance

Strengths:

  • Industry-standard LLM
  • Balanced responses
  • Good citation diversity
  • Widely adopted

Limitations:

  • Highest cost ($0.010/query)
  • Older training cutoff
  • Sometimes verbose

When to Use:

  • Industry benchmark comparison
  • Premium analysis
  • Client reporting (recognizable name)
  • Comprehensive testing

Cost

Pricing: ~$0.010 per query Per 100 Queries: ~$1.00 Best Value: For recognizable brand authority

Gemini (Google AI)

Overview

Model: gemini-1.5-pro Developer: Google Training Cutoff: Varies (ongoing updates) Real-Time Search: Sometimes (Google Search integration)

Citation Characteristics

Citation Rate: ⭐⭐⭐ (Medium)

  • Average: 3-6 citations per response
  • Lower than Claude/GPT-4
  • Google properties sometimes favored

Citation Style:

"Based on information from multiple sources including
educational sites and DIY guides, here's what you should do..."

Source Preferences:

  • Educational sites
  • Google-indexed content
  • Recent publications
  • Established authorities

Best For:

  • Free tier testing
  • Volume testing
  • Google Search integration
  • Recent content discovery

Performance

Strengths:

  • Free tier (60 requests/minute, 1500/day)
  • Google Search integration
  • Regular updates
  • Fast responses

Limitations:

  • Lower citation rate
  • Less explicit URL formatting
  • Variable quality
  • Rate limits on free tier

When to Use:

  • Budget-conscious testing
  • High-volume testing
  • Initial research
  • Google ecosystem analysis

Cost

Pricing: Free (with limits) Paid Tier: Similar to Claude pricing Best Value: For volume testing

Free Tier Limits

Rate Limits:

  • 60 requests per minute
  • 1,500 requests per day
  • 1 million requests per month

Good For:

  • Up to 1,500 queries/day
  • Testing and exploration
  • Budget-constrained projects

Perplexity

Overview

Model: llama-3.1-sonar-large-128k-online Developer: Perplexity AI Training Cutoff: N/A (real-time search) Real-Time Search: ✅ Yes

Citation Characteristics

Citation Rate: ⭐⭐⭐⭐ (High)

  • Average: 4-7 citations per response
  • Search-optimized
  • Fresh content cited

Citation Style:

"According to recent sources [1][2], the recommended approach is...

Sources:
[1] https://familyhandyman.com/plumbing/faucet-repair/
[2] https://thisoldhouse.com/plumbing/21015078/how-to-fix-a-leaky-faucet

Source Preferences:

  • Current/recent content
  • News articles
  • Blog posts
  • Updated guides

Best For:

  • Fresh content testing
  • Real-time citation tracking
  • News and trending topics
  • Timely content validation

Performance

Strengths:

  • Real-time web search
  • Fresh content citations
  • Low cost ($0.001/query)
  • Search-specific optimization

Limitations:

  • Different citation format
  • Less established brand
  • May favor recency over authority

When to Use:

  • Testing fresh content
  • Cost-conscious analysis
  • Current events/trends
  • Supplementing base models

Cost

Pricing: ~$0.001 per query Per 100 Queries: ~$0.10 Best Value: For fresh content and cost efficiency

Provider Comparison

By Citation Rate

ProviderAvg CitationsRating
Claude6-10⭐⭐⭐⭐⭐
GPT-44-8⭐⭐⭐⭐
Perplexity4-7⭐⭐⭐⭐
Gemini3-6⭐⭐⭐

By Cost

ProviderPer QueryPer 100Ranking
GeminiFreeFreeBest
Perplexity$0.001$0.102nd
Claude$0.003$0.303rd
GPT-4$0.010$1.00Most Expensive

By Use Case

Use CaseBest ProviderWhy
High-quality citationsClaudeHighest rate, best formatting
Budget testingGemini/PerplexityFree tier or lowest cost
Fresh contentPerplexityReal-time search
Industry standardGPT-4Most recognized
Volume testingGeminiFree tier limits
Competitive analysisAll FourComprehensive view

Multi-Provider Strategy

Why Test Multiple Providers

Provider Diversity:

  • Different training data
  • Different source preferences
  • Different citation styles
  • Different audiences use different LLMs

Comprehensive Coverage:

  • Claude may cite sources GPT-4 doesn't
  • Perplexity finds fresh content others miss
  • Gemini has Google-specific insights

Statistical Confidence:

  • One provider = one data point
  • Four providers = pattern validation
  • Consensus citations = strong signals

Budget Tier (Free - $0.10):

  • Gemini (free) + Perplexity ($0.10)
  • Good coverage, minimal cost
  • Volume testing possible

Standard Tier ($0.30 - $0.40):

  • Claude ($0.30) + Perplexity ($0.10)
  • High quality + fresh content
  • Best balance for most users

Premium Tier ($1.30 - $1.40):

  • All four providers
  • Comprehensive analysis
  • Maximum confidence
  • Client reporting

Sequential Testing

Week 1: Execute 50 queries with Claude

  • Establish baseline
  • Identify top domains
  • Understand citation patterns

Week 2: Same 50 queries with GPT-4

  • Compare to Claude
  • Identify differences
  • Validate patterns

Week 3: Same 50 queries with Perplexity

  • Check fresh content citations
  • Identify new sources
  • Cost-effective expansion

Week 4: Same 50 queries with Gemini

  • Complete picture
  • Final validation
  • Google-specific insights

Provider-Specific Insights

Content Type Preferences

Claude Favors:

  • How-to guides
  • Educational content
  • Step-by-step tutorials
  • Expert authorities

GPT-4 Favors:

  • Review sites
  • Comparison articles
  • Product guides
  • E-commerce content

Gemini Favors:

  • Educational institutions (.edu)
  • Google properties (YouTube)
  • Recent publications
  • Broadly indexed content

Perplexity Favors:

  • Current/recent content
  • News articles
  • Trending topics
  • Time-sensitive information

Query Type Performance

How-To Queries:

  • Best: Claude (8-12 citations)
  • Good: GPT-4, Perplexity (6-8)
  • Medium: Gemini (4-6)

Comparison Queries:

  • Best: GPT-4 (7-9 citations)
  • Good: Claude, Perplexity (5-7)
  • Medium: Gemini (4-6)

Problem-Solving:

  • Best: Claude (8-10 citations)
  • Good: All others (5-7)

Educational:

  • Best: Claude, Gemini (5-7)
  • Good: GPT-4, Perplexity (4-6)

Provider Selection Guide

By Project Phase

Research Phase:

  • Provider: Gemini (free tier)
  • Why: Explore broadly, low cost
  • Volume: High (1000+ queries)

Validation Phase:

  • Provider: Claude + Perplexity
  • Why: Quality validation, fresh content
  • Volume: Medium (100-500 queries)

Production Phase:

  • Provider: All four
  • Why: Comprehensive, reportable
  • Volume: Ongoing (50-100/week)

By Budget

$0/month:

  • Gemini only (free tier)
  • 1,500 queries/day limit
  • Good for testing

$10/month:

  • 50 queries/week × 4 weeks = 200 queries
  • Perplexity (200 × $0.001 = $0.20)
  • Claude (200 × $0.003 = $0.60)
  • Total: $0.80

$50/month:

  • 250 queries/week × 4 weeks = 1,000 queries
  • All four providers (250 each)
  • Comprehensive monthly analysis

$100+/month:

  • 500+ queries/week
  • All providers
  • Weekly analysis
  • Multiple industries

By Industry

E-commerce/Retail:

  • Primary: GPT-4 (product citations)
  • Secondary: Claude (how-to content)
  • Supplement: Perplexity (trends)

SaaS/Technology:

  • Primary: Claude (technical docs)
  • Secondary: GPT-4 (comparisons)
  • Supplement: Gemini (Google ecosystem)

Home Services:

  • Primary: Claude (DIY guides)
  • Secondary: Perplexity (local services)
  • Supplement: GPT-4 (reviews)

Content/Media:

  • Primary: Perplexity (fresh content)
  • Secondary: Claude (educational)
  • Supplement: All (comprehensive)

Provider Updates and Changes

Staying Current

Model Updates:

  • Providers release new models regularly
  • AEO/GEO Analytics updates automatically
  • Check changelog for updates

Behavior Changes:

  • Citation patterns may shift
  • Cost structures may change
  • Feature additions (real-time search, etc.)

Best Practice:

  • Re-test quarterly with all providers
  • Compare new vs old model behavior
  • Adjust strategy based on changes

Next Steps