GEO Retainer Pricing for Boutique B2B Video Agencies
If you run a boutique B2B video marketing agency, plan on spending $2,500 to $7,500 per month for a solid Generative Engine Optimization (GEO) retainer. Basic AI visibility monitoring starts near $1,500/month. A full program that handles llms.txt, transcript optimization, schema markup, and cross-LLM citation tracking usually lands between $6,000 and $10,000+ per month.
What a GEO retainer should include for video-led B2B agencies
GEO work for video agencies doesn't look much like a traditional SEO retainer. The focus sits on how ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot read and cite video content. So the retainer needs to cover everything from crawler access to the final answer citation, not just keyword rankings.
A workable monthly scope covers:
- AI crawler access audit and log monitoring
- llms.txt creation, updates, and validation
- Transcript restructuring for extractable answers
- VideoObject and FAQ schema markup
- Query-level tracking across at least 3–5 AI platforms
- Citation gap analysis against 3–5 direct B2B competitors
Realistic GEO retainer pricing tiers
Most boutique B2B video shops end up paying a blended rate of $130–$190 per hour for GEO work. The tiers below map to what agencies producing 2–10 videos a month typically need.
| Tier | Monthly retainer | Typical hours | Core deliverables | Best for |
|---|---|---|---|---|
| Foundations | $1,500–$2,500 | 8–12 | AI crawler access audit, baseline llms.txt, 25 tracked queries, YouTube/Google Search Console integration, monthly AI visibility report | Agencies with 2–4 B2B clients starting GEO |
| Growth | $3,500–$5,500 | 15–25 | Everything in Foundations plus transcript rewriting, VideoObject/FAQ schema, YouTube chapter optimization, competitor citation gap analysis, 50–100 tracked queries | Agencies publishing 4–8 videos/month |
| Authority | $6,000–$10,000+ | 30–50+ | Full llms.txt governance, weekly AI crawler log reviews, dedicated strategist, API integrations, 150+ tracked queries, quarterly content briefs from AI answer gaps | Agencies targeting category leadership in a niche |
What moves the retainer price up or down
The final price rarely comes down to hours alone. These variables tend to shift the monthly cost more than anything else:
- Number of new videos: 4 videos/month requires more transcript optimization than 8–10 videos/month.
- Number of tracked AI queries: 25 queries costs less than 150+ queries with per-platform citation tracking.
- Current technical state: Missing llms.txt, blocked AI crawlers, or poor transcript structure increases setup work in months 1–2.
- CMS and hosting complexity: Custom video hubs, JavaScript-heavy pages, or multiple subdomains require more implementation time.
- Reporting depth: A simple visibility score is cheaper than full share-of-citation reporting across ChatGPT, Perplexity, Google AI Overviews, and Copilot.
- Language and region: Multi-language GEO retainers typically add 30–60% to base pricing.
What strong deliverables look like inside the retainer
A credible retainer should never feel like a black box. At the very least, you should expect these deliverables from the agency or GEO provider:
1. First-30-day AI visibility audit
Start the retainer with a concrete audit of whether ChatGPT, Perplexity, Googlebot, and other AI crawlers can actually reach your video hub. Check each bot against an AI crawler list. The audit should also flag which of your videos already show up in AI answers and where competitors get cited instead of you.
2. llms.txt setup and ongoing updates
Boutique video agencies need a clean, current llms.txt file so language models know which videos, transcripts, service pages, and case studies deserve priority. Many teams create the first version with an llms.txt generator and then update it whenever a new video or campaign launches.
3. Transcript and schema optimization
Turn video transcripts into question-led sections rather than leaving raw auto-captions. Add VideoObject schema, FAQ schema where it fits, and clear chapter markers. That makes it more likely an AI system pulls a direct, coherent answer from your video.
4. Monthly citation report
Every report should show which AI platforms cited your brand, for what queries, and how those numbers shifted month over month. The most useful versions also add a competitor comparison and a list of new answer gaps worth targeting.
How to scope a retainer without overpaying
A simple scoping formula can keep boutique agencies from overpaying:
- Pick 25–50 high-intent B2B queries to focus on for the first quarter.
- Audit 10–20 video pages along with your core service pages and case study hub.
- Ask for a one-time setup fee of $800–$1,500 to cover the initial audit, llms.txt, and schema baseline.
- Set a monthly retainer around 10–25 hours for most small portfolios, at $130–$190/hour.
- Require a 90-day checkpoint before you expand query volume or add more AI platforms.
Questions to ask before signing a GEO retainer
- How many tracked AI queries are included, and across which platforms?
- Is llms.txt updated per video, per week, or per month?
- Do I own the llms.txt, schema, and prompt assets if I leave?
- Which competitors will you benchmark against?
- What happens if my AI citation share does not improve within 90 days?
- Are tooling costs included or billed separately?
For boutique B2B video marketing agencies, the right GEO retainer isn't a vague “AI visibility” package. It's a scoped, trackable program that ties your video library to the AI answers your buyers already rely on.
UpGeo gets your brand cited across ChatGPT, Perplexity and Google AI.
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