In traditional SEO, competitive analysis is table stakes. You check where competitors rank, what keywords they target, how many backlinks they have — and you build a strategy to outperform them.
In GEO, the same principle applies — but the metrics are different, the tools are newer, and most of your competitors haven’t started yet. That’s an opportunity.
This guide explains exactly how to run a competitor GEO analysis: what to measure, where to look, and how to turn the gaps you find into a strategy that moves your brand ahead in AI search.
Why Competitor GEO Analysis Matters
Before you can outperform a competitor in AI search, you need to understand where they stand relative to you. Without that context, you’re optimizing blindly.
A competitor GEO analysis answers three questions:
- Where are your competitors being cited that you aren’t? These are gaps — queries where a competitor has AI visibility and you don’t. Closing these gaps is the highest-priority GEO work.
- Where are you cited that competitors aren’t? These are your advantages — positions to defend and build on.
- How does your overall AI visibility compare? A summary view shows you whether you’re ahead, behind, or comparable — and how that’s changing over time.
With this information, you can prioritize your GEO efforts based on competitive impact rather than guessing.
The 5 Dimensions of a Competitor GEO Analysis
Dimension 1: Overall AI Visibility Score Comparison
Start with a high-level comparison. For each competitor you’re analyzing, get an overall AI visibility score — a composite measure of how frequently and prominently they appear in AI engine answers.
This is your starting benchmark. If your score is 42 and your primary competitor’s is 67, you have a clear gap to close. If you’re at 58 and they’re at 54, you’re slightly ahead but not dominant.
Onxeera’s Competitor Analyzer generates this comparison automatically — enter your domain and up to two competitors, and it returns a side-by-side visibility score with a breakdown by AI engine.
Dimension 2: Per-Engine Breakdown
Overall scores can be misleading. A competitor might have a higher total score but be concentrated in one engine, while you have broader coverage across multiple engines.
Break down visibility by engine — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews — for both your brand and each competitor. Look for:
- Engines where competitors dominate — these require focused attention
- Engines where you lead — these are advantages to protect
- Engines where neither of you is strong — these are open opportunities to claim first
Dimension 3: Topic and Query Coverage
Which topics is each competitor being cited for? This requires running a set of queries across AI engines and noting which brands appear in which answers.
Focus on:
- Your core category queries (“best [product category] tools”)
- Problem-based queries (“how to [solve problem your product addresses]”)
- Comparison queries (“[competitor] vs alternatives”)
- Definitional queries (“what is [product category]”)
Map out which competitors appear in which query types. The gaps — queries where competitors are cited but you aren’t — become your content and optimization priorities.
Dimension 4: Content and Citation Source Analysis
Where are competitors getting their AI citations from? Visit their top-performing pages and analyze:
- Do they have extensive FAQ sections?
- Is their content more recent or more comprehensive than yours?
- Are they listed on directories you aren’t?
- Do they have structured data you’re missing?
- Are they cited in press coverage or industry publications?
This analysis reveals the specific tactics driving competitor visibility — so you can adopt, improve on, or surpass them.
Dimension 5: Sentiment and Positioning Analysis
It’s not just about whether competitors are cited — it’s about how they’re described. Note the language AI engines use when referencing each competitor:
- Are they described as affordable, premium, enterprise-grade, or beginner-friendly?
- Are they cited for specific use cases or broadly?
- Is the sentiment positive, neutral, or occasionally cautious?
Compare this to how your brand is described (or not described). Misalignments between how you want to be positioned and how AI engines currently describe you are optimization opportunities.
Step-by-Step: How to Run a Competitor GEO Analysis
Step 1: Choose your comparison set
Select 2-3 direct competitors — brands targeting the same customers with similar products. Avoid comparing yourself to large platforms or completely different categories; the insights won’t be actionable.
Step 2: Run baseline visibility audits
Use Onxeera’s Competitor Analyzer to generate a side-by-side comparison of your brand versus each competitor. This gives you overall scores and per-engine breakdowns in a single audit.
Step 3: Map query coverage manually
Beyond the automated comparison, run 10-15 representative queries manually across ChatGPT and Perplexity. For each query, note which brands appear and what they say. Build a simple matrix:
| Query | Your brand | Competitor A | Competitor B |
|---|---|---|---|
| Best [category] tools | ✗ | ✓ | ✓ |
| How to [solve problem] | ✓ | ✗ | ✓ |
| [Category] for agencies | ✗ | ✓ | ✗ |
Queries where competitors appear and you don’t are your highest-priority gaps.
Step 4: Analyze competitor citation sources
For each competitor that has stronger AI visibility than you, visit their top pages and identify what’s driving their citations:
- Check their FAQ sections — are they more comprehensive than yours?
- Review their directory listings — are they on platforms you’re not?
- Look at their structured data — do they have schema markup you’re missing?
- Search for their press coverage — do they have more third-party mentions?
Step 5: Build your gap-closing roadmap
Based on Steps 3 and 4, prioritize your GEO improvements by competitive impact:
Highest priority: Queries where multiple competitors appear and you don’t — these represent the most significant visibility gaps.
Second priority: Engines where competitors are strongest — if a competitor dominates in Perplexity but you’re roughly equal in ChatGPT, focus GEO efforts on Perplexity-specific tactics.
Third priority: Citation source gaps — specific directories, schema types, or content formats competitors use that you don’t.
Step 6: Set a re-analysis cadence
Run a competitive GEO analysis quarterly. Monthly is fine if you’re in a highly competitive space. This gives you enough time for improvements to take effect while catching meaningful competitive shifts before they become entrenched.
Common Competitive GEO Patterns and How to Respond
“Competitors are cited for our category terms but we’re not.” This is the most common pattern for brands starting GEO work. The primary fix is improving entity definition and directory presence — the foundational signals that establish category association for AI engines.
“One competitor dominates ChatGPT but we’re comparable in Perplexity.” ChatGPT visibility is strongly influenced by training data — which reflects historical coverage. The competitor likely has more established third-party mentions and press history. Counter with a sustained press and content strategy rather than expecting quick wins.
“We appear in AI answers but are described less favorably than competitors.” This is a positioning problem. The AI’s description of your brand reflects how it’s described in the sources it draws from. Update your directory profiles, your own content, and your PR messaging to consistently use the positioning language you want AI engines to reflect.
“A new competitor appeared in AI answers we used to own.” They likely published significant new content or earned coverage recently. Review what they’ve added and respond with equally strong or stronger content on the same topics.
Frequently Asked Questions
How many competitors should I include in a GEO analysis?
Two to three is ideal for most brands. More than three becomes difficult to act on — the insights multiply but the prioritization becomes harder. Focus on your primary direct competitors first.
Does competitor GEO analysis work differently for different AI engines?
Yes. ChatGPT competitive patterns reflect historical training data — so older, more established competitors often have a natural advantage. Perplexity competitive patterns shift quickly with content changes. Google AI Overviews competitive patterns closely mirror traditional search rankings. Gemini patterns reflect Google’s entity understanding. A good analysis breaks down competition by engine rather than treating all AI engines as equivalent.
How long does it take to overtake a competitor in AI search?
It depends on the gap and the engine. In Perplexity, publishing genuinely better content can shift citation patterns within weeks. In ChatGPT’s base model, building enough training-data presence to surpass an established competitor can take 6-12 months of sustained work. Google AI Overviews fall somewhere in between.
Can I analyze what competitors do on social media to understand their GEO strategy?
Indirectly. Social signals are not a primary GEO ranking factor, but high social engagement often correlates with press coverage and third-party mentions — which are primary factors. If a competitor’s content gets widely shared, it’s probably also building the citations that improve AI visibility.
Is competitor GEO analysis a one-time exercise?
No — it should be recurring. The competitive landscape shifts as brands improve their GEO, as AI models update, and as new players enter the market. Quarterly re-analysis keeps your strategy current.
See exactly how your AI visibility compares to your competitors — run a free competitor GEO analysis on Onxeera and find the gaps worth closing.