AI search optimization (also called GEO or AEO) costs anything from an afternoon of internal time to $50,000+ a month. For a funded B2B SaaS buying a serious program, most credible agency quotes land between $3,000 and $15,000 a month. The price follows how contested your category is, how many kinds of work your gaps span, and how much authority you start with.
- DIY costs time: an afternoon for a lean audit, then a writer to act on it.
- Tools and tracking software run from $10 to $1,000+ a month, and they measure rather than fix.
- Consultants bill $50 to $300 an hour; one-off projects run $5,000 to $50,000.
- Agency retainers span $1,500 to $50,000+ a month across the market.
- Judge any quote as a break-even: how many deals at your ACV does it need to pay for itself?
Pricing pages in this space either hide the number behind a call or quote a range so wide it means nothing. Pricing opacity is half the reason buyers distrust this category, so this guide has numbers in it: the real shape of the market, what moves the price, how to spend a small budget well, and the questions that separate a serious proposal from an expensive subscription to a dashboard.
How much does AI search optimization cost?
AI search optimization costs $10 to $1,000+ a month in tools, $50 to $300 an hour for consultants, $5,000 to $50,000 for a one-off project, and $1,500 to $50,000+ a month for an agency retainer, per WebFX’s 2026 cost guide. For funded B2B SaaS, the quotes we see cluster between $3,000 and $15,000 a month.
Most companies end up combining 2 of these. Time buys the audit, tools buy the scoreboard, and a hire or a retainer buys the capacity to move the answers rather than watch them. Whatever you call it, GEO, AEO or AI search optimization, the price bands work the same way.
Agency retainers
Agencies price the widest. WebFX’s survey puts small businesses at $1,500 to $5,000 a month, mid-sized companies at $5,000 to $25,000+, and enterprise programs at $25,000 to $50,000+. For a funded B2B SaaS buying a multi-channel program, the credible quotes we see sit between $3,000 and $15,000 a month. You can see how our own engagements are scoped. If you’re comparing agencies, we’ve scored the best AI search agencies for AI-native companies on four tests.
Project and hourly pricing
Not every company needs a retainer, and plenty shouldn’t start with one. One-off projects, such as an audit, a site migration or a batch of decision-stage pages, run $5,000 to $50,000 across the market, and hourly consultants bill $50 to $300 an hour. A B2B SaaS audit on its own usually lands at the low end of that project range. Project pricing suits a company with a writer in-house that needs the diagnosis and a plan, then plans to do the work itself.
Monitoring and tracking tools
AI visibility tracking tools run from about $50 to $1,000+ a month, depending on how many prompts, engines and competitors you track. They’ll tell you where you stand and keep the score straight, but a scoreboard doesn’t play the match: someone still has to build the pages, earn the reviews and win the mentions. Buy one once you’re acting on what it shows.
An in-house hire
Hiring is the path bigger teams weigh. An in-house AI search or SEO lead costs a full salary plus tooling, and the hire makes sense when the work is permanent and the volume justifies a headcount. Below that line, the math favors buying outcomes over headcount, because one person rarely covers content, reviews and PR at the same time.
What moves the price
4 factors explain most of the spread between quotes: how contested your category is, how many kinds of work your gaps span, how much authority you start with, and how much repair your existing content needs. When 2 proposals differ by thousands a month, at least one of these 4 is why, and a good agency can tell you which.
Category competitiveness sets the bar, since shifting the answers in a crowded CRM market costs multiples of what a niche vertical tool pays. Scope multiplies it, because a company that only needs decision-stage content pays less than one that needs content, reviews and PR at once. An authority head start discounts it, since an established domain with existing reviews compounds faster than a fresh one. And content debt adds to it, because pages that describe the product 2 versions ago need repair before growth.
Ask each agency which of the 4 they’ve priced against. The vague answers identify themselves.
What you should get at each price level
Deliverables are how you compare quotes that use different words for the same work. The table below sets the floor at each spend level, whoever you hire: what an audit must include, what a focused retainer owes you, and what a full program has to run to justify its price. The agency rows reflect the B2B SaaS quotes we see.
| Level | Typical cost | What should be included |
|---|---|---|
| DIY audit | An afternoon of your time | The lean 7-step check: prompts on every engine, a logging sheet, your top 3 gaps |
| Tracking tools | $50 to $1,000+ a month | Prompt tracking at scale, competitor mention rates, alerting. Measurement only, no fixes |
| Audit only (agency, one-off) | $2,000 to $10,000 | Prompt and keyword testing across the major engines, competitor share of voice, a scored gap list, and a prioritized plan you could run without the vendor |
| Focused retainer | $2,000 to $6,000 a month | One or 2 work streams, most often decision-stage content plus review management, with tracking against a fixed prompt set every month |
| Full program | $5,000 to $15,000 a month | Content, reviews and digital PR run as one engine, monthly reporting on share of voice, recommendation rate and answer accuracy, tied to pipeline |
| Enterprise scope | $15,000+ a month | Multi-product or multi-market programs, custom measurement, dedicated team |
The tell at every level is measurement. If the deliverable list has no fixed prompt set and no named competitors, you won’t be able to prove anything worked, and neither will they.
What if your budget is under $3,000 a month?
Under $3,000 a month, spend on fixes, not dashboards. Run the audit yourself, find the 3 gaps closest to revenue, and put the money into the work that closes them: usually decision-stage pages and a steady review campaign. Skip the enterprise tracking suite until there’s a program worth tracking.
A small budget won’t buy breadth, but it’ll buy focus. Start with the prompts where buyers pick vendors, the “best X for Y” and “X vs Y” questions, and check who the engines name today. Prompts where nobody dominates are open territory, and they’re the cheapest wins on the map. Our guide to finding the gaps in your AI search visibility shows how to build that list.
Then pick one lever and don’t switch for a quarter. A focused retainer at the bottom of the band, or a freelancer writing 2 comparison pages a month, will move more answers than a thin spread across content, PR and tooling. Reviews are the other cheap lever: a steady trickle on the platform AI already quotes in your category compounds, and it costs time more than money. It’s just how the game works at this budget: depth on one lever beats a little of everything.
How to build your AI search budget
Most budgets fall into one of 3 mixes: tools only, a service with tracking included, or a service plus your own tracking tool. The right one depends on who’s doing the fixing. If nobody on your team can build pages, earn reviews and run PR, a tool-only budget buys a very accurate record of standing still.
| Budget mix | Suits | Watch out for |
|---|---|---|
| Tools only | Teams with a writer and time to act on the data | Paying to watch answers you have no capacity to change |
| Service with tracking included | Companies that want one owner and one report | Reporting you can’t check against your own prompt list |
| Service plus your own tool | Teams that want an independent scoreboard | Paying twice for the same prompt tracking |
Whichever mix you pick, you’ll need 4 budget lines: the tracking, the content, the review work, and the PR or outreach that earns third-party mentions. The engines lean on what other sites say about you, so a budget with no line for the evidence layer is a budget for your own blog alone. Treat the first quarter as the test: baseline, first fixes live, second measurement.
How to think about the ROI
Skip the percentage promises and run a break-even instead: a month of cost, divided by your gross margin per deal, equals the deals per month the work has to influence to pay for itself. A $6,000 retainer against a $15,000 ACV needs a deal every couple of months to wash its face, and everything above that line is return.
We price gaps the same way in our own plans: searches, times click rate, times conversion, times close rate, times deal size, presented as a range with a break-even rather than a single confident number. The break-even beats every percentage promise you’ll be shown. Ranges survive scrutiny. Single numbers don’t, and a vendor who promises you one is telling you something about their other numbers too.
Compare the scope in our AI Search Optimization service with the deliverables in each proposal. Our agency comparison for AI-native companies can help you build a shortlist before those conversations.
Questions to ask before you sign
A handful of questions separate serious operators from dashboard resellers, and they take one call to ask. Which prompts will you track, and can we see the list? Which competitors are we measured against? How do you report deals you can’t attribute? What did your last engagement change, in numbers the client would repeat? And what happens in the first 90 days, week by week?
Good answers are specific, they name their own limitations, and they put unattributed results in their own bucket instead of folding them into wins. It obviously comes down to trust in the end, and trust is easiest to extend to the vendor who shows you how they’ll be measured before you’ve paid them.
Frequently asked questions
The pricing questions we hear most from founders and marketing leads, answered plainly: whether smaller companies should spend at all, how the billing works, whether a tool can stand in for an agency, and what the first quarter should produce.
Is AI search optimization worth it for a small SaaS?
Below roughly $1M ARR, don’t pay anyone: run the audit yourself and fix the top 3 gaps internally, since the lean process costs an afternoon. If you’re a 5-person team, you have to guard runway harder than share of voice. The paid programs earn their keep once organic pipeline matters to your plan and the gaps span more work than your team can staff.
Do agencies charge retainers or per project?
Both exist, and they’re priced differently. Audits and one-off fixes price as projects. Ongoing programs price as retainers because the evidence layer compounds month over month and stops compounding when you stop. The retainer model is fair when the evidence layer is the work, but beware retainers with no defined prompt set, because open-ended scope is where budgets go to disappear.
Can an AI visibility tool replace an agency?
Only if someone on your team does the work the tool points at. A tracking tool measures mentions, recommendations and share of voice; it doesn’t write comparison pages, run a review campaign or earn coverage. Teams with that capacity in-house can run on a tool, and that’s often the cheapest route. Teams without it end up paying to watch the gap.
What should the first 90 days deliver?
You should see a baseline audit, the fix list in priority order, the first decision-stage pages and review campaign live, and a second measurement that’s showing tier movement on the tracked prompts. Answers rarely transform in 90 days; direction should be visible, and the reporting should show it without spin.
