Analyze: Turn data into
a competitive advantage.
The audit tells you where you are. The analysis tells you why — and more importantly, what to do about it. This is where patterns emerge and a real strategy takes shape.
Why this comes second
Raw audit data is only useful when you know what it means. The analysis phase turns numbers into a prioritized action plan.
Not every gap matters equally. Analysis identifies which missing signals will have the biggest impact on your visibility.
This is where we map your competitors' AI footprint — understanding why they're being recommended tells us exactly what to build for you.
Without analysis, you'd be optimizing blindly. With it, every dollar and hour of effort is directed at the highest-leverage opportunities.
What the analysis delivers
- Score your visibility across each AI engine and identify the biggest drop-off points
- Map competitor citations: what are they being recommended for that you're not?
- Identify content and schema gaps that are causing AI engines to overlook your brand
- Prioritize fixes by impact — quick wins vs. long-term structural improvements
- Deliver a clear, visual gap analysis report with next steps
GEO & SEO: What you need to know
Understanding citation gaps
A citation gap is any topic, keyword, or question where a competitor gets recommended by AI and you don't. These aren't random — they're the direct result of content, authority signals, and entity clarity that your competitor has built and you haven't yet.
The analysis phase maps these gaps systematically. Not all gaps are worth closing — we prioritize by volume (how often AI gets asked this) and intent (how likely the person asking is to become a customer).
Why AI competitive intelligence is different from traditional SEO research
In traditional SEO, you analyze competitor backlink profiles and keyword rankings. In GEO, you analyze what AI says about competitors — what attributes it assigns them, which prompts trigger their citation, and what language patterns are associated with their brand. This tells you what the AI has "learned" to believe about them, and how to rewrite that narrative in your favor.
The 3 prompt types that matter most
Categorical
"Who are the best [your category] companies in [city]?"
High commercial intent — people are evaluating options.
Problem-based
"How do I [solve a problem your business solves]?"
AI recommends solutions — you need to be the answer.
Direct brand
"What does [your company] do? Are they reputable?"
Trust and accuracy — wrong answers here cost you deals.
A fast DIY competitor analysis
Ask ChatGPT and Perplexity the same categorical prompt 5 times with slight variations. Note which competitor names appear consistently. Those are the brands the AI has high confidence in — look at their websites, review presence, and LinkedIn authority to understand why.
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