SEO Research — Data From Real Site Audits
Every site scanned through Lunara generates a detailed technical report. We aggregate those results to surface the patterns that explain why so many sites fail to rank — even when they look perfect in a browser.
Why This Data Matters
Most SEO advice is based on best practices and assumptions. Ours is based on what we actually find when we scan real sites the same way Googlebot does — without JavaScript, without a browser, without any of the rendering that makes a site look good to a human. The gaps between what you see and what Google sees are where rankings are lost. These studies show exactly how wide those gaps are.
Research Studies
Each study below covers a specific platform or site category — aggregated across every audit we have run. Numbers update automatically as new sites are scanned.
- Lovable SEO — What We Found After Auditing 145+ Sites — The most common issues holding Lovable-built sites back from ranking, including rendering gaps, missing H1s, and absent structured data.
- Bolt.new SEO — What We Found After Auditing Real Sites — bolt.new scored 34/100 in our direct audit. 574 issues detected including SPA rendering gap, 57 pages missing E-E-A-T signals, and 58 missing Breadcrumb Schema.
More Studies Coming
We are expanding this research section to cover Framer, Webflow, WordPress, Wix, and Squarespace. If you want to be notified when a study for your platform goes live, run a free scan and we will reach out when it is ready.
The Scanner
Every site that runs a free audit through Lunara is crawled without JavaScript — the same way Googlebot crawls pages. We check 31 signals per page including rendering behavior, metadata completeness, structured data, internal link quality, and AI visibility signals. Results are stored in our audit database and aggregated across platforms.
Deduplication and Methodology
Each domain is counted once regardless of how many times it has been scanned. We use the most recent scan per domain for all calculations. Percentages reflect the share of unique domains with a given issue present on at least one page.
Why Platform-Specific Studies
Different platforms produce different failure patterns. A Lovable site fails differently than a WordPress site. A Framer site fails differently than a Shopify store. Platform-specific research lets you understand exactly which risks apply to your stack — not generic SEO advice that applies to nobody in particular.