The Economics
API costs per model, cost-per-query analysis, monthly cost modeling, optimization strategies, comparison to traditional SEO tools, and break-even analysis for GEO SaaS.
1. API Pricing Per Model (April 2026)
OpenAI
| Model | Input/1M tokens | Output/1M tokens | Batch Discount |
|---|---|---|---|
| GPT-4.1-nano | $0.10 | $0.40 | 50% |
| GPT-4o-mini | $0.15 | $0.60 | 50% |
| GPT-4.1-mini | $0.40 | $1.60 | 50% |
| GPT-4o | $2.50 | $10.00 | 50% |
| GPT-4.1 | $2.00 | $8.00 | 50% |
Anthropic (Claude)
| Model | Input/1M tokens | Output/1M tokens | Context |
|---|---|---|---|
| Claude Opus 4.6 | $5.00 | $25.00 | 1M tokens |
| Claude Sonnet 4.6 | $3.00 | $15.00 | 1M tokens |
| Claude Haiku 4.5 | $1.00 | $5.00 | 200k tokens |
Google Gemini
| Model | Input/1M tokens | Output/1M tokens | Notes |
|---|---|---|---|
| Gemini 2.5 Pro | $1.25 | $10.00 | Higher rate for >200k context |
| Gemini 2.5 Flash | $0.30 | $2.50 | |
| Gemini 2.5 Flash-Lite | $0.10 | $0.40 | Free tier available |
Perplexity Sonar
| Model | Input/1M | Output/1M | Request Fee/1K |
|---|---|---|---|
| Sonar | $1.00 | $1.00 | $5-12 |
| Sonar Pro | $3.00 | $15.00 | $6-22 |
| Sonar Reasoning Pro | $2.00 | $8.00 | $6-14 |
2. Cost Per Query Comparison
Assuming a typical brand monitoring query: ~100 input tokens (system prompt + question), ~500 output tokens (response with recommendations):
| Model | Cost/Query | Annual (18K queries/mo) |
|---|---|---|
| GPT-4.1-nano | $0.0002 | $43 |
| Gemini 2.5 Flash-Lite | $0.0002 | $43 |
| GPT-4o-mini | $0.0003 | $65 |
| Gemini 2.5 Flash | $0.0013 | $281 |
| Claude Haiku 4.5 | $0.0026 | $562 |
| Perplexity Sonar (+ request fee) | $0.0006 + ~$0.008 | $1,858 |
| GPT-4o | $0.0053 | $1,145 |
| Claude Sonnet 4.6 | $0.0078 | $1,685 |
3. Monthly Cost Modeling
Scenario A: Small Brand Monitoring (10 brands)
10 brands × 5 queries × 4 models × 3 samples × daily = 18,000 queries/mo
| Strategy | Monthly Cost |
|---|---|
| All GPT-4.1-nano | $3.60 |
| All GPT-4o-mini | $5.40 |
| All GPT-4o | $95.40 |
| All Claude Sonnet 4.6 | $140.40 |
| Mixed: nano/Flash-Lite polling, GPT-4o deep dives (90/10) | ~$13 |
| With Perplexity Sonar (add request fees) | $50–80 |
Scenario B: Enterprise (100 brands)
100 brands × 10 queries × 4 models × 5 samples × daily = 600,000 queries/mo
| Strategy | Monthly Cost |
|---|---|
| All GPT-4.1-nano | $120 |
| All GPT-4o | $3,180 |
| All Claude Sonnet 4.6 | $4,680 |
| Mixed budget (95/5 split) | $350–500 |
| With batch API (50% off) | $175–250 |
Interactive Cost Calculator
Configure your own monitoring parameters to estimate monthly API costs. Adjust brands, queries, models, and optimization settings to see real-time projections based on the pricing data above.
Monitoring parameters
Models
Optimizations
Cost breakdown by model
| Model | Queries | Token cost | Req. fees | Total |
|---|---|---|---|---|
GPT-4.1-nano OpenAI | 4,500 | $0.900 | — | $0.900 |
Gemini 2.5 Flash-Lite Google | 4,500 | $0.900 | — | $0.900 |
Claude Haiku 4.5 Anthropic | 4,500 | $11.70 | — | $11.70 |
Perplexity Sonar Perplexity | 4,500 | $2.70 | $36.00 | $38.70 |
| Total | 18,000 | $16.20 | $36.00 | $52.20 |
Recommendation
Moderate spend. Enable the tiered strategy and batch API to cut costs by 80-95%.
Enable Batch API for an easy 50% savings on non-urgent daily polls.
4. Cost Optimization Strategies
Tiered Model Strategy (90-95% savings)
The single most impactful optimization: use cheap models for routine polling, expensive models only for targeted analysis when changes are detected.
| Tier | Models | Use Case | Cost/Query |
|---|---|---|---|
| Polling (90%) | GPT-4.1-nano, Gemini Flash-Lite | Daily brand detection | $0.0002 |
| Analysis (9%) | GPT-4o-mini, Haiku 4.5 | Change detected → detailed breakdown | $0.0003-0.0026 |
| Deep dive (1%) | GPT-4o, Sonnet 4.6, Sonar Pro | Full competitive analysis | $0.005-0.02 |
Combined Optimization Impact
| Strategy | Individual Savings | Cumulative |
|---|---|---|
| Tiered model strategy | 90–95% | 90–95% |
| + Batch API | 50% on remaining | 95–97.5% |
| + Prompt caching | 50–90% on input | 96–99% |
| + Semantic caching | 30–73% on cache hits | 97–99.5% |
| + Low-temp sampling (3 vs 30 samples) | 60–80% | 98–99.8% |
5. Competitor Pricing Landscape
| Tool | Entry | Mid-Tier | Enterprise | Per-Prompt |
|---|---|---|---|---|
| Rankscale | $20/mo | $99/mo | $780/mo | ~$0.017 |
| Otterly.AI | $29/mo | $189/mo | $489/mo | ~$1.22-1.93 |
| LLM Pulse | EUR 49/mo | EUR 99/mo | EUR 299/mo | ~EUR 0.66-0.98 |
| Peec AI | ~EUR 95/mo | ~EUR 245/mo | ~EUR 495/mo | ~EUR 0.02 |
| AthenaHQ | $295/mo | — | Custom | ~$0.083 |
| Scrunch AI | $250/mo | — | Custom | ~$0.125-2.00 |
| Profound | $499/mo | $399/mo Growth | $2,000-5,000+ | ~$4-10 |
| Sellm (API) | Usage-based | — | — | <$0.01 |
6. Comparison to Traditional SEO Tools
| Tool | Monthly Price | What You Get |
|---|---|---|
| Semrush Starter | $99/mo | Basic SEO toolkit |
| Semrush Guru | $229/mo | Full SEO + content marketing |
| Ahrefs Lite | $129/mo | Core SEO tools (up from $99) |
| Ahrefs Standard | $249/mo | Full suite (up from $179) |
| Ahrefs Enterprise | $1,499/mo | Enterprise (50% increase over 2025) |
Semrush (NASDAQ: SEMR) benchmarks: Average ARR per customer $3,522 (~$294/mo). Customers paying >$50K/year grew 72% YoY. Total ARR: $455.4M (+14% YoY). AI product ARR contribution: $10M in Q3 2025 alone (doubling quarter-over-quarter).
7. Break-Even Analysis for GEO SaaS
| Parameter | Conservative | Growth |
|---|---|---|
| Price point | $99/mo | $199/mo |
| Gross margin | ~70% | ~80% |
| Infrastructure + API | ~$30/customer/mo | ~$40/customer/mo |
| Engineering team (3 FTE) | $45K/mo | $45K/mo |
| Marketing + sales | $15K/mo | $20K/mo |
| Break-even customers | ~870 | ~410 |
| Time to break-even (est.) | ~36 months | ~22 months |