GEO White-Label Pricing for Digital PR Agencies
White-label GEO pricing for technical link building and digital PR agencies usually falls into four practical bands: $900–$3,500 for a one-time GEO opportunity audit, $300–$1,200 per site for LLMs.txt and AI crawler access setup, $1,500–$5,000 per month for monitoring and optimization retainers, and $2,500–$8,000 per quarter for AI citation and digital PR campaigns. If you’re reselling, a markup of 2.2–3.5x on your direct cost is typical, and project work usually carries a 55–65% gross margin.
White-label GEO pricing benchmarks
| Deliverable | White-label cost range | Common resale range |
|---|---|---|
| GEO opportunity audit | $900–$3,500 | $2,500–$9,000 |
| LLMs.txt + AI crawler setup | $300–$1,200 per site | $900–$3,500 per site |
| Monthly monitoring and optimization | $1,500–$5,000/mo | $4,000–$15,000/mo |
| AI citation and digital PR campaign | $2,500–$8,000/quarter | $7,500–$25,000/quarter |
These numbers reflect mid-market work for US, UK, and EU clients. Enterprise programs with 10+ brands, multilingual tracking, or compliance requirements can climb past $12,000 per month on the white-label side.
What actually drives the price
- AI platform coverage: Tracking Google AI Overviews, ChatGPT, Perplexity, Copilot, and Gemini means continuous query runs and answer capture. More platforms, languages, and regions push data costs up.
- AI crawler access and log analysis: Providers usually check whether GPTBot, PerplexityBot, ClaudeBot, and Google-Extended can access your pages. For an updated view, see the AI crawlers list.
- LLMs.txt complexity: A professional services site with 40 priority URLs costs less than an ecommerce site where products, categories, policy pages, and location pages all need prioritization. See the LLMs.txt guide.
- Citation acquisition: Getting recommended in AI answers usually takes authoritative third-party mentions, digital PR coverage, and structured entity signals. On-page edits alone rarely move the needle.
Common pricing models
- Project audit: Good for prospecting, new business pitches, or proving GEO opportunity before a client commits to a retainer.
- Monthly retainer: Usually covers recurring answer tracking, LLMs.txt updates, content adjustments, and white-label reporting.
- Hybrid performance: A base fee plus payment for each verified AI citation, new referring domain, or AI referral click. Only use this if the vendor can track attribution cleanly.
- Credit/usage: Query packs for ad hoc research or short-term monitoring. This works better for internal R&D than client delivery.
How to set your resale price
You can start with this formula:
Agency price = (white-label cost + fulfillment hours × loaded hourly rate) × 2.2–3.5
Say a white-label audit costs $1,800 and your team spends 4 hours at $150/hour. That puts total cost at $2,400. Reselling at $5,500 leaves $3,100 gross profit, or a 56.4% margin.
Margin floors for agency delivery
- White-label only, no fulfillment: 40–50% gross margin minimum.
- White-label plus light fulfillment: 55–65%.
- Full-service with strategy and client management: 65–75%.
For retainers, add GEO as an upgrade to an existing SEO or digital PR retainer. That protects margin and makes pricing harder to commoditize.
Red flags to screen for
- Vendors guaranteeing placement in ChatGPT or AI Overviews — AI answers are non-deterministic, so guarantees are unrealistic.
- No raw data exports or shareable client login — you risk report hostage and limited client transparency.
- Unclear citation sources — ask for sample URLs before you accept a citation benchmark.
- One-size-fits-all LLMs.txt — ecommerce and multi-location brands need prioritized files. You can test outputs with the LLMs.txt generator.
Bottom line
For a serious mid-market client engagement, budget $1,500–$5,000 per month as a realistic white-label GEO cost. Project audits usually start around $900. Resell at 2.2–3.5x, bundle the work into existing retainers, and require raw data access plus white-label reporting before you commit.
UpGeo gets your brand cited across ChatGPT, Perplexity and Google AI.
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