AEO Strategist Helping B2B SaaS Brands Get Cited in AI Search Results
I’m Shipra Pande, an independent AEO strategist with 14+ years in SEO. AI systems like ChatGPT, Google AI Overviews, and Perplexity are now shaping how buyers discover and evaluate B2B software — and most companies simply aren’t showing up in those answers. I help fix that.
SHIFT IN DISCOVERY
Search Is Becoming Answer-Driven
The way people find and evaluate software is changing.
Instead of browsing search results, users now:
- ask AI systems for recommendations
- compare options inside generated answers
- make decisions before visiting a website
This means visibility is no longer just about ranking, it’s about being included in the answer.
THE CORE PROBLEM
Most Brands Are Missing From AI-Generated Answers
Even strong SaaS and B2B companies often fail to appear when AI systems generate recommendations in their category.
Not because they lack authority—but because AI systems interpret and prioritize information differently than traditional search engines do.
This creates a growing gap between:
- being visible in search results
- and being referenced in AI answers
That gap is now influencing buying decisions earlier than most teams realize.
MY WORK
How It Works
I analyze how your brand shows up in AI-generated answers, and why it doesn’t when it should.
Then we fix it.
- Identify where you appear (and where you don’t)
- Understand why competitors are being cited
- Diagnose how AI interprets your content
- Restructure your content for clarity, extraction, and citation
This isn’t about rankings. It’s about getting your brand included in the AI answers buyers actually see.
HOW THIS WORKS IN PRACTICE
A Data-Driven Approach to AI Search Visibility
Across most SaaS and B2B categories, AI systems tend to surface brands based on patterns like:
- clarity of explanation
- consistency of positioning across sources
- depth of category-specific content
- how easily information can be extracted and summarized
Most visibility issues are not about authority. They are about how clearly a brand can be understood by machines.
BACKED BY ORIGINAL RESEARCH
The Data Behind the Strategy
This isn’t guesswork. I run AI Search Pulse, an ongoing benchmark tracking how AI assistants recommend vendors across enterprise software categories. The July 2026 baseline tested 10 vendors against 49 real buyer-evaluation prompts on ChatGPT, and found that a handful of vendors captured most enterprise-visibility mentions, while several others were invisible in buying scenarios entirely despite strong developer/API presence. That’s the kind of gap I help close for clients.
WHAT MAKES THIS DIFFERENT
Strategy + Execution in One Loop
Unlike advisory-only consulting, I also help implement the changes needed to improve visibility.
That includes:
- SEO improvements aligned with AI search behavior
- Content restructuring for clarity and citation
- AEO-focused content creation
- Ongoing refinement based on visibility changes
This ensures insights don’t stay theoretical—they get applied.
WHO THIS IS FOR
Built for B2B SaaS and Digital-First Companies
This is most relevant for:
- B2B SaaS companies competing in crowded categories
- Startups relying on organic and content-driven acquisition
- Marketing teams transitioning from SEO to AI-driven search
- Digital-first companies where discovery is content-led
Most already perform well in traditional search. The challenge is what happens in AI-generated discovery.
WHY THIS MATTERS NOW
AI Search Is Still Early—but Already Influencing Decisions
Most companies have not yet audited how they appear in AI-generated answers.
That creates a short window where:
- Visibility patterns are still forming
- Competitors are not fully optimized for AI search
- Category narratives are still being shaped
Once these systems stabilize, visibility becomes harder to influence.
ENGAGEMENT MODEL
Start With Understanding Before Execution
Engagement typically begins with an AI Visibility Review to understand:
- Where you currently appear in AI-generated answers
- Where competitors are being referenced instead
- What structural gaps are limiting inclusion
From there, we decide what level of implementation is needed.
Most companies are still optimizing for how search used to work — keywords, backlinks, rankings. AI systems don’t work that way. They read, interpret, and decide what to cite in real time. The shift is already underway. The only question is whether your brand is part of the answe