GEO Retainer Pricing for Boutique B2B Agencies

By UpGeo · 2026-09-01

Direct answer: A boutique B2B content marketing agency can expect to pay $3,000–$8,000 per month for a GEO retainer covering a defined 10–30 page corpus. That range should include llms.txt maintenance, AI crawler log checks, and monthly answer monitoring across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot. If you need continuous multi-LLM tracking, prompt-set expansion, and quarterly content revisions, the cost moves to $8,000–$15,000 per month. Initial setup typically adds $150–$400 per priority page.

Benchmark pricing at a glance

Most boutique agencies price GEO retainers by fixed page corpus rather than keyword list. The table below shows typical 2025 pricing for B2B technology, SaaS, and professional services content programs.

Initial GEO setup usually runs $3,000–$12,000, depending on corpus size, technical cleanup, and how many existing assets need restructuring.

What a GEO retainer should include

New to this? Start with a plain definition of what generative engine optimization is. The list below works as a contract checklist. A useful retainer should go beyond “content optimization” and produce specific, checkable deliverables.

• A named set of 10–30 priority URLs, PDFs, case studies, or tool pages.
• Baseline visibility measurement across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot.
• llms.txt creation and monthly maintenance for the corpus.
• AI crawler allowlist review, blocked resource fixes, and log monitoring.
• On-page changes: question-based subheads, answer blocks, statistics, entity attributes, and citation-ready claims.
• A prompt audit of 50–150 real buyer questions per month.
• A gap report showing where competitors are cited and your brand is missing.
• Monthly or quarterly content revision cycles, not just reporting.

The four pricing models agencies use

Boutique agencies typically choose one of four retainer structures. The right one depends on how stable your scope is and how much reporting the client expects.

1. Flat monthly retainer: Best for a stable 10–30 page corpus. Predictable and easy to sell, but scope creep must be controlled.
2. Base plus per-page fee: A lower base of $1,500–$3,000 plus $75–$200 per page per month. Works well when pages enter and leave the corpus.
3. Performance hybrid: A base retainer plus a bonus tied to tracked answer presence, such as a percentage of pages cited in target LLM surfaces.
4. Setup sprint plus retainer: A fixed $4,000–$8,000 setup for audit, llms.txt, and initial optimization, followed by a $2,500–$5,000 monthly retainer.

What drives retainer price up or down

Page count alone doesn’t determine GEO pricing. These five factors often explain the difference between two agencies with similar page counts.

• Competitive density: If two or three direct competitors already dominate AI answers, the retainer should include more aggressive revision cycles.
• Asset mix: Tool pages, pricing pages, and comparison posts usually need more structural work than simple blog posts.
• Crawler access complexity: Sites with strict bot rules, JavaScript-heavy rendering, or subdomain fragmentation take longer to fix.
• LLM surface coverage: Tracking one engine is cheaper. Tracking five engines with prompt-level detail costs more.
• Language and region: English-only B2B programs are less expensive than multi-language GEO programs.

How to scope a GEO retainer in 7 steps

A tight scope keeps the retainer from turning into an expensive reporting subscription. Use this order when evaluating a provider or preparing a client proposal.

1. Select the corpus: Pick 10–30 pages with high buyer intent. Do not include entire blog archives.
2. Generate an llms.txt file: Use the llms.txt generator to create a crawlable summary of key pages, FAQs, and business facts.
3. Check AI crawler access: Compare your robots.txt and server logs against a current AI crawlers list.
4. Set a baseline: Record current presence for 50–100 core prompts across the five major LLM surfaces.
5. Fix structural gaps: Add concise answers, statistics, dates, author bylines, and entity context where the baseline shows missing citations.
6. Run monthly prompt audits: Test 50–150 buyer prompts, including comparison, pricing, integration, and “best for” questions.
7. Revise and re-measure: Update the corpus based on gaps. Do not wait for quarterly reports to act.

For more detail on the technical foundation, see this step-by-step llms.txt guide.

Retainer red flags

These signals usually mean the retainer is not designed to produce measurable GEO results.

• No defined page corpus or asset list.
• Pricing based on keyword count instead of page and prompt coverage.
• Guaranteed “position one in ChatGPT” claims.
• No access to llms.txt, robots.txt, or crawler logs.
• Reporting only brand-name prompts instead of buyer-problem prompts.
• No revision hours included; reporting only.

What to charge if you are the agency

If you run a boutique B2B content marketing agency and white-label GEO work, set the client retainer at 2–2.5x your vendor cost. If you pay an upstream GEO provider $2,500 per month, a sustainable client price is $5,000–$6,500 per month after account management and reporting time. A senior strategist can typically manage 3–4 GEO retainers at the $5,000–$8,000 level when the scope is tightly defined and prompts are standardized.

Bottom line

For boutique B2B content marketing agencies, $5,000–$8,500 per month is the practical sweet spot for a 10–30 page GEO retainer with actual monitoring and updates. Stick to a defined corpus, require llms.txt and crawler access, and tie renewal to tracked answer presence across at least three LLM surfaces.