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Enter your page and a competitor's, and we compare the on-page signals that decide rankings and AI citations side by side — metadata, headings, content depth, structured data, alt coverage, internal links, llms.txt — with a winner called on every signal.
SEO competitor analysis is the practice of comparing your page against a rival's to see which on-page signals differ — metadata, structure, schema, content depth, and extractability. It reveals concrete gaps to close so you can match or beat the pages already ranking and earning AI citations.
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What Meev is
Meev tracks where your brand appears across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Google AI Overviews, and Google AI Mode, then shows what to fix, publish, or pitch next to improve AI visibility.
The path to getting cited
01 · Your domain
Meev reads your existing pages, topics, and Google Search Console signals to learn what your site is about and already ranks for: the foundation for every gap, draft, and citation that follows.
Step 1
Enter both URLs
Your page and the competitor page you're losing to — ideally targeting the same query.
Step 2
We fetch both at once
Both pages load in parallel and get the identical signal extraction — no side gets a different ruler.
Step 3
Signal-by-signal verdict
12 on-page signals compared head to head, with the winner marked on each row.
Step 4
Close the gaps
Every row they win is a concrete, fixable difference — work the list from the top.
Rankings come from a mix of authority, links, and on-page quality. You can't change your backlink profile by Friday — but missing schema, a thin word count, broken heading structure, and absent alt text are all fixable in an afternoon. Comparing the same signals on both pages turns 'they outrank us' from a mystery into a checklist.
When an AI engine picks a source to cite, it favors pages it can parse cleanly: clear headings, structured data that declares what the page is, substantive text, and answer-shaped content. A smaller site with cleaner structure regularly gets cited over a bigger one with a messy page — which makes these signals one of the few arenas where you can beat a stronger domain head-on.
An audit tells you what's imperfect; a comparison tells you what's losing. If you both skip FAQ schema, it's not why they're ahead — but if they have 2,400 words of structured content against your 600, that gap is probably doing real work. Benchmarking against the page that actually beats you puts your effort where the difference is.
With Meev
Closing on-page gaps one page at a time is a treadmill — competitors keep publishing too. Every article Meev ships comes out with the full signal set already in place: complete metadata, clean heading structure, schema matched to the content, and depth that passes a quality gate before publishing.
Twelve on-page signals, identically extracted from both pages: title tag length, meta description length, heading structure (H1/H2), word count, structured data types, FAQ schema, Open Graph completeness, canonical tag, image alt coverage, text-to-HTML ratio, internal links, and whether an llms.txt file exists at the site root.
Because off-page signals aren't visible from the page itself — backlink and authority data lives in third-party indexes and isn't part of what either page actually serves. On-page signals are also the ones you fully control: if a competitor beats you on authority AND on-page quality, the on-page half is the part you can close this week.
Work top-down by impact: content depth and heading structure first (they change what engines can extract), then structured data and FAQ schema (they change how engines classify and cite you), then metadata lengths, alt coverage, and llms.txt. Each losing row is a concrete edit — most take minutes, not sprints.
Yes. JSON-LD tells engines what a page is — an article, a product, a FAQ — without inference, and FAQ schema in particular mirrors the question-answer shape AI engines extract from. When two pages cover the same topic, the one that declares its structure is easier to retrieve, classify, and quote accurately.
Run the same comparison again right after deploying — the tool fetches both pages live, so your fixes show up immediately. Then give engines time to recrawl: ranking and citation effects follow days to weeks behind the fix, so re-check the comparison and your actual visibility a few weeks later.
Yes — any two public URLs work. Comparing the top two results for a query you're targeting is a fast way to see what the winners have in common before you write your own page.
Meev tracks your visibility across every major AI search surface and publishes quality-gated content that earns citations — automatically.
7-day free trial. Cancel anytime.
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