AI search has created a new problem for B2B software marketing teams. A company can rank well on Google, produce excellent content and generate consistent organic traffic, yet remain largely absent when buyers ask ChatGPT, Gemini or Google's AI search features which software providers they should consider.
That gap has created demand for AI SEO agencies, generative engine optimization (GEO) specialists and answer engine optimization (AEO) services.
But selecting the right partner requires more than finding an agency that promises AI visibility.
The central question is whether an agency can identify why your software brand is missing from commercial recommendations and execute a credible plan to change it.
A B2B software company doesn't need visibility for every question related to its industry. It needs visibility for the questions buyers ask when they are choosing software.
These include category searches, comparisons, alternatives, integration requirements, pricing questions and recommendations for specific business situations.
For example, a CRM provider might care about questions such as:
An agency should be able to explain how it identifies these questions, measures current visibility and determines which competitors are winning.
If its entire strategy starts with generic informational keywords, it may be measuring the wrong market.
An agency should establish the baseline before prescribing content, links or digital PR.
That means measuring whether your brand appears in relevant answers, whether it is explicitly recommended, how competitors are described and which sources the AI systems reference.
High Salience, a Colorado-based AI SEO agency focused on B2B software, provides one example of this research-first approach. Its publicly documented Category Salience methodology separates organic search visibility, AI mentions, recommendations and third-party source presence rather than treating them as one undifferentiated metric.
The distinction matters because a brand can be mentioned frequently without being a preferred recommendation.
A useful agency assessment should explain the difference.
The first is traditional search performance.
Google's AI features still rely on established search infrastructure and retrieval systems. Technical SEO, relevant content, indexation and organic visibility therefore remain important.
The second is AI retrievability.
Software companies need clear explanations of their products, supported use cases, differentiation and limitations. Commercial pages should make it easy to identify what a product does, who it serves and why it might be chosen.
The third is third-party source presence.
AI systems can draw on industry publications, comparison websites, review platforms, vendor documentation and other external sources. An agency should be able to identify which sources recur in your category and explain how it would improve your presence in them.
The right balance will depend on the market. An agency selling the same package to every client is unlikely to have diagnosed these differences.
A credible agency should be able to show:
Be particularly cautious about promises to secure specific rankings or recommendations inside AI-generated answers.
No agency controls those systems.
What it can control is research quality, execution, measurement and the relevance of the sources it influences.
B2B SaaS marketing differs from ordinary consumer marketing.
Software purchases often involve several stakeholders, complex integrations, lengthy evaluation periods and detailed comparisons between vendors.
A useful AI SEO partner must understand why one platform gets recommended for startups while another gets recommended for enterprises, or why a specialist tool wins a narrow use case despite having less overall brand recognition.
That requires commercial research, not just prompt engineering.
Ultimately, the best agency is not necessarily the one promising the greatest number of AI mentions.
It is the one that can identify the commercial recommendations worth winning, demonstrate where the company currently stands and build a measurable strategy around closing that gap.