You and a competitor target the same keyword. You both rank on page one. But when someone asks ChatGPT about the topic, only one of you gets cited. The difference isn’t always content quality. It’s often structural. And the only way to find out is to compare.

Why comparison beats isolated analysis

Analyzing your own page in isolation tells you your score. But scores without context are hard to act on. Is 72 out of 100 good? Depends on what your competitor scores.

A side-by-side comparison gives you relative performance. You see exactly which pillar you win on, which you lose on, and by how much. That turns abstract scores into prioritized action items. If your competitor scores 90 on AI Extractability and you score 55, you know exactly where to focus.

More importantly, comparison reveals structural patterns you’d never notice looking at your own page alone. Your competitor might use FAQ schema on every page while you use none. They might keep paragraphs under 80 words while yours average 150. They might have breadcrumb markup while you don’t. These differences only become visible when you look at both pages together.

What to compare

Not every comparison is useful. To get actionable insights, compare pages that are actually competing for the same audience:

Same-topic pages. Your blog post about JSON-LD schema versus a competitor’s blog post about JSON-LD schema. Same topic, potentially different structure, different scores.

Same-intent pages. Your product page versus a competitor’s product page for a similar offering. Even if the products differ, the structural patterns that help LLMs extract product information are the same.

Your own pages against each other. Compare your highest-scoring page with your lowest-scoring page. The structural differences between them reveal what you’re doing right in some places and wrong in others. This is often more useful than competitor analysis because the fixes are entirely within your control.

Before and after. Compare your page before an optimization with the same page after. This validates that your changes actually improved the scores and didn’t introduce regressions.

How to run a comparison

Enter two URLs into the hey-eye Compare tool and both pages get analyzed simultaneously. The results appear side by side with each pillar scored independently for both pages.

The comparison view highlights exactly where each page wins or loses:

Structural Integrity. Does one page have a proper heading hierarchy while the other skips levels? Does one have complete Open Graph tags while the other is missing them?

AI Extractability. Does one page have JSON-LD schema while the other doesn’t? Is one using lists and short paragraphs while the other relies on long, unstructured blocks?

Content Clarity. Which page has better readability scores? Which has higher heading density? Where does sentence length diverge?

Authority & Trust. Does one page have author attribution while the other is anonymous? Does one allow AI crawlers while the other blocks them?

Each difference is a potential explanation for why one page gets cited and the other doesn’t.

Reading the results

Focus on the biggest gaps first. If both pages score within five points of each other on Structural Integrity, that’s not where your opportunity lies. Look for pillar differences of 15 points or more. That’s where the structural divergence is meaningful enough to affect LLM behavior.

Within each pillar, drill into the individual checks. A 20-point gap in AI Extractability might come entirely from one page having FAQ schema while the other has none. That’s a single fix that closes a massive gap.

Pay attention to checks where your competitor passes and you fail. These are your quick wins. You don’t need to invent a new approach. You just need to match what’s already working for them.

Common patterns from comparisons

After thousands of comparisons, certain patterns repeat:

Schema is the biggest differentiator. The single most common reason one page outscores another is that one has JSON-LD schema and the other doesn’t. It’s also the easiest gap to close. Use the hey-eye JSON-LD generator and the gap disappears in minutes.

Heading structure is the second biggest. One page uses clean H1 > H2 > H3 hierarchy. The other uses headings for visual styling, skipping levels or using multiple H1s. The fix is mechanical: restructure the headings to follow a logical outline.

Paragraph length separates good from great. Two pages might both have schema and proper headings, but one uses 40-word paragraphs and the other uses 150-word blocks. The shorter paragraphs create more extraction points and consistently score higher.

Meta completeness is often overlooked. Missing canonical URLs, absent Open Graph tags, and incomplete meta descriptions are easy to miss on your own pages but obvious in a side-by-side comparison.

Making comparison a habit

Don’t compare once and forget. Build comparison into your content workflow:

Before publishing a new page, compare it against the top-ranking competitor for the same query. Make sure you match or beat their structural signals before going live.

After making optimizations, compare your updated page against your pre-optimization version to verify the improvement.

Monthly, pick your most important page and compare it against whoever currently ranks above you. The competitive landscape shifts as competitors optimize too.

Run your first comparison at hey-eye.gr/compare and see exactly where you stand against the competition.