AEO for SaaS & B2B Services

Because AI now shapes the shortlist before a buyer talks to sales. In G2’s 2026 survey of more than 1,000 B2B software buyers, about half said they start their research in an AI chatbot rather than a search engine, and most said AI guidance changed which vendor they chose. Buying groups use AI to define the problem, compare options and pressure-test claims, then validate with peers, reviews and trials. If you’re missing from AI answers or described inaccurately, you can be ruled out without ever knowing you were considered.

Stellar benchmarks where you appear across those stages and focuses your roadmap on the questions that shape shortlists.

AI engines match the buyer’s question, including their use case, industry, company size, existing tools and budget, against what they can retrieve about each vendor: your own pages, review platforms, comparison articles, community discussion and analyst coverage. Companies that state clearly what they do, who they’re for, what they integrate with and what they cost, and that are described consistently by credible third parties, are easier for AI to recommend. A specific match to the buyer’s situation matters more than brand recognition, which is why smaller, focused providers can win these answers.

Stellar’s five-pillar framework assesses each of these signals and identifies where your brand may be falling short.

SEO focuses on ranking your pages in search results. AEO focuses on whether AI engines include your brand in their recommendations and comparisons, and how they describe it. Crawlable pages, good content and authority help both. AEO puts more weight on explicit details AI can extract, such as use cases, integrations, pricing and who you’re for, on how you’re framed against alternatives, and on third-party validation. AI answers also change with how buyers phrase their situation, so AEO tracks visibility across the realistic scenarios your buyers describe rather than a list of keywords.

Yes, though the mix varies by engine and category. Review platforms like G2, Capterra and Clutch, Reddit, as well as LinkedIn, YouTube, tech publications and “best tools” roundups on other companies’ blogs are among the sources AI answers cite for B2B questions. In many categories AI cites third-party pages more often than vendors’ own sites. For agencies and service firms, directories like Clutch carry particular weight. Older reviews and threads can keep shaping answers long after the issues they describe have been fixed.

Stellar identifies the third-party sources AI relies on in your category, assesses how your brand is represented, and builds a plan to strengthen your presence and correct outdated information.

Usually, yes. When pricing is hidden, AI fills the gap with third-party estimates or leaves you out of budget-based questions, which buyers regularly ask. You don’t need to publish every number: clear plan structures, starting prices or typical ranges, and what drives cost give AI enough to describe you accurately. Specific, fair comparison and alternatives pages help AI explain where you fit, and they are more credible when they acknowledge where another option is a better fit.

Stellar helps you decide what to make public and how to present pricing, comparisons and positioning so AI can use them.

Service firms are recommended on specialization and proof. AI needs to know which services you offer, which industries, company sizes and regions you serve, who leads the work and what results you’ve delivered. Firms that publish specific service and industry pages, detailed case studies, team expertise and clear engagement models, and that are well reviewed on directories like Clutch and visible through their experts on LinkedIn, are easier for AI to recommend for the right briefs.

Stellar maps the questions clients ask when choosing a firm like yours and identifies the content and third-party signals that will get you shortlisted.

It depends on the type of change and the AI engine. On-site improvements such as clearer use case and pricing pages, ungated case studies and structured data can begin showing up within a few days to weeks of being recrawled by engines that retrieve live content. Off-site changes, such as new reviews, inclusion in comparison articles and community participation, take longer to build and to be reflected in how AI engines rank your brand.

Stellar re-runs your benchmark at regular intervals so you can see which changes are moving visibility, shortlist inclusion and pipeline.