SaaS is the most competitive category in AI-generated answers. Every major software vertical has dozens of well-funded competitors all publishing content, running Reddit strategies, and chasing the same citations. The brands that are pulling ahead right now aren’t the ones publishing more. They’re the ones with more surfaces, more citation sources, and a longer head start.
Foundation has been building distribution infrastructure for B2B SaaS companies since before GEO had a name. We’ve helped software brands go from generating 1M annual visits to over 10M. Last year we generated over 165,000 AI citations for our clients.
We track Share of Model for every client we work with and optimize against it monthly so we can drive pipeline and revenue. If you want your brand in the answers buyers are reading before they ever talk to your sales team, this is the work.
We Help Software Companies Show Up In LLMs Using Paid Media & GEO
Over the last few years, we've worked with brands like Bitly, Canva, Procore, Eventbrite, Paychex & more increase their visibility in LLMs through content creation & distribution. We've supported software companies with everything from Reddit to YouTube and content to SEO all with the payoff being stronger visibility in the LLMs.
Step 1: LLM Visibility Baseline Across Your Category
We know SaaS marketing. We started in this lane back in 2015. We audit your current AI presence: how often you appear in ChatGPT, Perplexity, Gemini, and Google AI Overviews for the queries your buyers are running. We map competitor Share of Model at the same time, so you know exactly how far you are from the leaders and where the fastest gains are.
Step 2: Citation Source Gap Analysis
We identify every high-authority source that AI systems cite in your software category: comparison pages, Reddit threads, YouTube reviews, G2 categories, analyst coverage. Then we audit your presence or absence in each. That gap map becomes the strategic roadmap.
Step 3: A AI Visibility Strategy Across Every Surface
SaaS buyers find vendors across more surfaces than almost any other category. We build strategies that cover all of them: structured on-site content designed for citation extraction, paid media inside of ChatGPT, Reddit presence in the specific subreddits where your buyers evaluate tools, YouTube content that surfaces as embedded citations in AI answers, earned media on the publications AI models trust, and technical GEO that makes your site machine-readable. One-channel GEO doesn’t work in SaaS. Multi-surface does.
Step 4: Content Built for AI Citation AND Google Rankings
Content that earns AI citations is different from content that ranks on Google but we recognize two things can be true at the same time. Google is still very important and following their EEAT guidelines helps with AI Visibility. We create content that is specific, source-rich, and structured so models can extract and synthesize it. We create the comparison guides, original research, FAQ-rich long-form content, and SME-attributed pieces that AI systems pull from when assembling answers in your category.
Step 5: Monthly Share of Model Reporting and Optimization
We track how your brand appears across every major AI platform each month: citation frequency, sentiment, competitive positioning, and query coverage. AI visibility is volatile. Only 30% of brands stay visible between consecutive answers. Monthly optimization is what turns an early lead into a durable one.