TL;DR

For a B2B SaaS, AI search optimization runs from a few hours of internal time to $15,000+ a month for a full agency programme. The price follows 3 things: 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, a writer to act on it.
  • Monitoring tools run from low hundreds to four figures a month, and they measure rather than fix.
  • An in-house hire runs $70K to $110K a year; freelancers bridge at $75 to $150 an hour.
  • Agency retainers for B2B SaaS mostly land between $3,000 and $15,000 a month, with published market rates ranging far wider.
  • 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. We feel as though 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, and the questions that separate a serious proposal from an expensive subscription to a dashboard.

The 4 ways to pay

You can pay with your team’s time, with tool subscriptions, with a hire, or with an agency retainer, and most companies end up combining 2 of the 4. Time buys the audit, tools buy the scoreboard, and the hire or the retainer buys the capacity to move the answers rather than watch them.

Your team’s time is the cheapest entry. A lean visibility audit takes an afternoon with a spreadsheet, and the process is public. What DIY can’t buy is capacity: the fixes span content, reviews, and PR at once more often than not, and that’s where internal efforts stall.

Monitoring tools run from the low hundreds to four figures a month depending on prompt volume and competitor tracking. They tell you where you stand and they 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.

Hiring is the path bigger teams weigh: an in-house AI search or SEO lead runs $70,000 to $110,000 a year plus a few thousand in tooling, and freelancers bridge the gap at $75 to $150 an hour. The hire makes sense when the work is permanent and the volume justifies a salary; below that, the maths favors buying outcomes over headcount.

Agencies price the widest. Published market rates run from $1,500 a month at the entry level to $50,000+ for enterprise programmes, per WebFX’s 2026 cost survey. For a funded B2B SaaS buying a serious multi-channel programme, most credible quotes we see land between $3,000 and $15,000 a month. Our own tiers sit in that band.

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.

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.

When you get quotes that differ by thousands, this list is usually why. Ask each agency which of the 4 they priced against, and the vague answers identify themselves.

What you should get at each 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 programme has to run to justify its price.

Level Typical cost What should be included
DIY audit An afternoon of your time The lean 6-step check: prompts on every engine, a logging sheet, your top 3 gaps
Monitoring tools $100 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 execute 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 programme $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 programmes, 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.

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 tend to price gaps the same way in audits: 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. I’d say the break-even beats every percentage promise you’ll ever 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.

Questions to ask before you sign

5 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 3 pricing questions we hear most from founders and marketing leads, answered plainly: whether smaller companies should spend at all, how the billing works in practice, 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 programmes 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. Audits and one-off fixes price as projects, usually $2,000 to $10,000. Ongoing programmes price as retainers because the evidence layer compounds month over month and stops compounding when you stop. It’s just how the game works. I do think 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.

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. Rankings and answers rarely transform in 90 days; direction should be visible, and the reporting should show it without spin.

Rafael De Jesus
Founder
Organic growth and AI search optimization specialist. Rafael has added seven figures in ARR to B2B SaaS and AI-native companies, built a 200K+ following, and generated 3 billion+ impressions across search and social. He writes about how to shape what AI says about your brand.