Is answer engine optimization worth it for a B2B SaaS company?

Software buyers say they use AI assistants while they choose vendors. G2's 2026 Buyer Behavior Report, published July 22, 2026, surveyed more than 1,000 B2B software buyers and decision-makers. It reports that 82% had sourced software recommendations from an AI chatbot in the previous 24 months. Half of those buyers said AI had its greatest impact when they were narrowing and comparing options.

The survey is G2's own, and it records what buyers say they do. It doesn't measure what any company earned from AEO. So it explains why the spending is worth considering, and the case for a given company still has to be made with that company's numbers.

These are Lean Labs' published AEO prices. AEO Complete includes the on-site package. Each monthly price is listed for ten months, so multiplying it by twelve overstates the total. We compare these prices with other sellers' in how much AEO services cost.

Revenue is the wrong yardstick for this decision, because serving a customer costs money. The better one is gross contribution: what a customer pays in a year, minus the direct cost of serving them, such as hosting, support and onboarding.

Suppose your average contract is $20,000 a year and serving that customer costs $5,000 a year. Each customer contributes $15,000 in the first year. Count only incremental customers, meaning ones you wouldn't have won without the program. On first-year contribution alone, one incremental customer covers the $9,000 on-site charge. The $50,000 in off-site payments takes four, since $50,000 divided by $15,000 is 3.3. The $90,000 for the full program takes six.

Now suppose the contract is $5,000 a year and serving the customer costs $1,250, so the contribution is $3,750. The same charges take three, fourteen and twenty-four incremental customers.

Those counts cover the listed charges only. Sales commission and your own team's hours would add to the cost. If you count a longer horizon than the first year, you need a retention assumption as well, and the counts change with it.

The arithmetic gives you a target. It doesn't predict whether the program will reach it, which is the subject of what ROI to expect from AEO.

A count only means something beside your sales volume. Six incremental customers is a small addition for a company that closes two hundred new customers a year. It's a large one for a company that closes ten. The same goes for the second example. Twenty-four customers is a small share of new business for a product that signs several hundred customers a year, and most of it for one that signs thirty.

So we'd judge the spend on three inputs together: the full cost of the program, contribution per customer, and the number of customers you win in a year.

If the target looks out of reach on those inputs, a smaller charge lowers it. It also buys less work, since the $9,000 package covers the on-site work only.

Lean Labs describes choosing its buyer questions from sales calls, CRM records and search demand, so a company with those on file has material ready when the work starts. We describe which businesses fit best in what kinds of companies benefit most from AEO.

Before you sign, write down two things: how many incremental customers the program has to add, and the date you'll check. Then make sure you can count. That means assistant visits, the contacts recorded with an AI source, and the deals attached to those contacts, each kept as a separate number. We set out the reports in how to track traffic and referrals from AI answer engines.

Those counts are observations. They show which contacts and deals carry an AI source. How many of them were incremental is still a judgment you make with your sales team.

Take a visibility reading before the work starts, and note the CRM's starting count of contacts and deals. Later readings are compared with those two. Set the check date using how long AEO takes to show results, so you don't judge the customer count before a deal could have closed.