The AI discovery layer is the new top of funnel. You're not in it.
Full-stack AI search optimization for SaaS.
Buyers discover software through ChatGPT, Perplexity, Google AI Overview, and Bing Copilot. This is the new top of funnel. If your SaaS isn't optimized for every AI surface, you're invisible to the majority of your future customers. We build the system that puts you everywhere AI recommends.
Industry Snapshot
- 58% Of software discovery now involves AI
- 5 Major AI search surfaces to dominate
- 12x Lower CAC vs paid when AI recommends you
The SaaS AI Search Problem
- Your SaaS doesn't appear in any AI-powered discovery surface
- Competitors are building AI visibility while you rely on Google alone
- Your content strategy doesn't account for LLM parsing or citation logic
- You have no unified strategy across ChatGPT, Perplexity, SGE, and Copilot
How We Solve This
Step 1: Full AI surface audit
We map your visibility across every AI discovery channel: ChatGPT, Perplexity, Google AI Overview, Bing Copilot, Claude. Identify gaps, threats, and opportunities across the full stack.
Step 2: Unified optimization system
We build one content architecture that wins across all AI surfaces simultaneously. Structured data, entity optimization, authority engineering — all calibrated for how LLMs select and cite sources.
Step 3: AI dominance monitoring
Continuous tracking across every AI surface. Automated alerts when citation positions shift. Proactive defense against competitor moves in the AI layer.
Who This Is For
- SaaS companies that want to own the entire AI discovery layer
- Growth teams building acquisition channels that compound forever
- CEOs who see AI search as the defining growth lever of the next decade
- Marketing leaders ready to move first while competitors debate
Frequently Asked Questions
Why not just do SEO and hope AI picks us up?
Because AI models don't rank pages — they cite sources. The signals that make Google rank you #1 are different from the signals that make ChatGPT recommend you. You need a dedicated AI search strategy or you're leaving the fastest-growing discovery channel to competitors.
How do you optimize for AI surfaces that keep changing?
The underlying architecture is stable: structured content, entity authority, citation-worthy claims, and technical signals LLMs trust. We adapt tactics as surfaces evolve, but the foundation works across all of them.
What's the ROI timeline for AI search optimization?
Faster than traditional SEO. AI models update more frequently than Google's index. Most clients see measurable citation lifts within 60 days and significant pipeline impact by 90.
How is full-stack AI search different from just doing AEO or GEO?
AEO targets answer engines. GEO targets generative search. Full-stack AI search covers both, plus every emerging AI surface. It's one unified strategy that ensures you're visible wherever buyers use AI — not just one platform.
What size SaaS companies do you work with?
Seed to Series D and beyond. The strategy scales. Early-stage companies lock in AI recommendation positions before competitors. Growth-stage companies build compounding AI visibility across their entire category.
How do you prioritize which AI surfaces to optimize first?
We analyze where your specific buyers spend time. For enterprise SaaS, that's typically ChatGPT and Perplexity. For SMB tools, Google AI Overview dominates. We go where your pipeline lives first.
What's the contract length?
We recommend 6-month engagements for full AI search optimization. You'll see measurable results by month 2-3, but the compounding effect over 6 months is where the real ROI kicks in. No long-term lock-ins.
Can AI search optimization integrate with our existing marketing stack?
Seamlessly. We feed AI search data into your CRM, attribution models, and marketing dashboards. Your demand gen team gets a new pipeline source with full visibility — not a black box.