Median score
70
PageLens AI turns completed scan data into an anonymized benchmark: common categories, severity mix, score distribution and verified badge adoption. It is a directional operating view, not a claim that every site on the internet looks like this sample.
Median score
70
Excellent scans
9%
Score 90+
Weak scans
32%
Score below 70
Failure rate
0%
1 failed runs recorded
The AI visibility pipeline aggregates mention rate, citation rate and source diversity only after the minimum sample is met. Published rows exclude domain names, prompt text, URLs and raw answer text.
Aggregated from AI visibility baseline rows after suppressing domain names, input text, URLs, generated response text, and any sample below the minimum threshold.
CHATGPT
Mention
43%
Citation
18%
Sources
2.0
GEMINI
Mention
46%
Citation
18%
Sources
4.0
These categories are ordered by finding volume across completed scans. The point is prioritization: launch teams should know where real sites repeatedly lose quality before traffic lands.
SEO
17,912 findings observed
Performance
9,199 findings observed
Security Headers
5,968 findings observed
Accessibility
4,091 findings observed
Security
3,490 findings observed
The aggregate chart is useful only if it points to a decision. Pick the segment closest to the page you are about to share.
Compare fast-built Lovable, Bolt, Replit, Cursor and Codex sites against common launch blockers.
Open scan pathUse the benchmark before Product Hunt, Reddit, paid traffic or email sends expose the page.
Open scan pathCheck product-page trust, tracking, mobile UX and checkout confidence before traffic scales.
Open scan pathUX
2,940 findings observed
Design
2,259 findings observed
Content
1,565 findings observed
Use this as the baseline story: PageLens AI sees repeated launch-readiness issues across public pages, then turns them into fix prompts and re-scan proof.
Open the state report