How much does AEO / GEO cost in 2026?

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are still young enough that pricing has not settled into a standard. But the public numbers from generalist agencies in 2026 cluster into a recognizable shape. Read these as market signals, not quotes.

• Entry projects — roughly $1,000 to $2,000, one time. A discrete audit or a fixed-scope optimization sprint: analyze how AI engines currently see you, fix the highest-impact pages, ship structured data, and hand off a plan. No ongoing commitment.
• Small-business retainers — roughly $1,000 to $2,500 per month. Single-market, single-focus AI-search work bolted onto a light SEO program. A few pages optimized per month, basic monitoring, quarterly reporting.
• Mid-market retainers — roughly $2,500 to $5,000 per month. The common band. Ongoing content production, schema and entity work, off-site citation building, and monthly citation tracking across the major AI engines.
• Full-stack programs — roughly $8,000 to $15,000+ per month. Large-agency engagements that fold AEO / GEO into a broader SEO, PR, and content operation, often with dedicated strategists and enterprise reporting.

The catch: most of these shops publish the service but not the price. "Contact us for a quote" is the norm, which is precisely why an honest pricing guide is hard to find. When a market hides its prices, buyers overpay by default.

Price is a proxy for scope. Here is what generally comes with each band, so you can match the number to the work rather than to the logo.

• Audit / project tier. A snapshot: which prompts already surface your brand, which competitors own the answers, technical readiness (schema, crawlability, llms.txt), and a prioritized fix list. This is diagnosis, not treatment. It should be the first dollar you spend.
• Small-business tier. A handful of priority pages restructured to answer real buyer questions, foundational structured data, and a check on whether AI engines can cite you at all. Light monitoring. Good for a local business testing the water.
• Mid-market tier. The real program. Ongoing answer-shaped content, entity and knowledge-graph work so engines understand who you are, citation building on the third-party sources LLMs actually read, and monthly tracking of your citation share. This is where AEO / GEO starts compounding.
• Full-stack tier. Everything above plus PR-grade off-site work, larger content volume, multi-market coverage, and enterprise reporting. The jump from mid-market to full-stack is mostly volume and headcount, not a different discipline.

For the underlying disciplines, our explainers go deeper: what AEO is and what GEO is.

Two agencies can both sell "GEO" and quote $600 and $9,000 for it. The gap is almost never talent. It is these variables.

• Scope of surfaces. Optimizing for one engine is cheap. Tracking and shaping answers across ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews at once multiplies the work.
• Content volume. Two pages a month versus twenty is the single biggest line item. Content is the fuel AI engines run on, and producing it well is not cheap.
• Off-site citations. LLMs cite third-party sources heavily. Earning mentions on the sites they trust is closer to digital PR than to SEO, and it is priced accordingly.
• Reporting depth. A quarterly PDF is cheap. A live dashboard tracking citation share across a curated prompt set is a real cost.
• Agency overhead. A large shop with account managers, sales teams, and office leases prices those in. A lean AI-native team does not carry the same load, which is part of why our numbers are lower.

The AEO / GEO market is new, opaque, and full of rebranded SEO. Four rules keep you from buying a $9,000 retainer for $2,000 of work.

• Buy the audit before the retainer. Never sign a monthly contract before someone has measured where you stand. A cheap audit de-risks a big decision.
• Ask what is actually different from SEO.If the answer is "we add schema and write FAQs," that is table-stakes SEO with a new label. Real AEO / GEO names specific engines, specific prompts, and a specific citation-tracking method.
• Demand a baseline measurement. No baseline means no way to prove the retainer worked. Insist on it in month one.
• Refuse long contracts. A discipline this new should be earned monthly. Month-to-month keeps the agency honest. If a shop needs a twelve-month lock, ask why.

If you want the cheapest possible way to see where you stand, the $25 AdMax audit exists for exactly that — including whether you need ongoing work at all.

We publish our numbers because the market does not. Here is the whole thing, no "contact for a quote."

• Audit — $25, once. A paid diagnostic: LLM visibility, SEO health, technical gaps, your two best keyword opportunities, and a prioritized fix list. No card on file, no upsell.
• Starter retainer — from $300 per month. One channel, one objective. AEO / GEO for a service business fits squarely here.
• Growth and Scale retainers — $1,500 to $5,000+ per month. Multi-channel programs where AI-search work runs alongside paid media, lifecycle, and SEO. Full detail in the AdMax pricing breakdown.

Every retainer is month-to-month, no contract. The model is a senior strategist captaining a bench of named AI agents, which is how the numbers stay this low without cutting the work. Want proof it works? Our public ecommerce case study is specific for exactly that reason.

The hardest part of paying for AEO / GEO is that AI engines give you no Google Search Console — no dashboard that reports every time ChatGPT quoted you. That does not make the work unmeasurable. It makes measurement a method you should demand up front.

• Citation share on a fixed prompt set. Pick 20 to 50 buyer prompts, run them across the major engines on a schedule, and track how often your brand appears versus competitors. Movement here is the core KPI.
• Brand-mention frequency. Whether you are named at all, even without a clickable link, in AI answers for your category.
• Referral traffic from AI engines. Analytics can already isolate visits from ChatGPT, Perplexity, and AI Overviews. It is small today and growing fast.
• Assisted conversions. AI-search buyers often research in a chat, then convert through a branded search or a direct visit. Attribution is imperfect, so watch the trend, not a single number.

If an agency cannot explain, in one sentence, how it will measure whether its retainer is working, that is the answer to whether the retainer is worth it.

Most businesses get the sequence backwards. They shop retainers first, get anchored to a big monthly number, and only later discover they might have needed far less. The order that protects your budget is the reverse.

• First, measure. Buy a low-cost audit. Learn whether AI engines already cite you, who owns the answers in your category, and what the highest-impact fixes are. This alone often reveals that you need a handful of one-time fixes, not a $5,000 retainer.
• Second, fix the foundation. Structured data, clear answer-shaped pages, and a clean technical base are one-time costs that keep paying off. Do these before you pay anyone to produce content on a schedule.
• Third, decide on ongoing work. Only after the baseline and the foundation should you weigh a monthly retainer. If your category is competitive and moves fast, ongoing content and citation building earns its keep. If it is quiet, you may be done after the fixes.

Run that order and you will never overpay, because every dollar of retainer is spent against a measured gap instead of a sales pitch. It is also, not coincidentally, exactly how an AdMax engagement is designed to start: with the audit, not the contract.