I got tired of SEO reports. So I built a tool that skips them entirely.
Every SEO tool I used had the same problem: it told me what was wrong but left me to fix it myself.
Screaming Frog crawls your site and hands you a spreadsheet. Ahrefs tells you your meta descriptions are missing. Semrush gives you a 94-point audit checklist. Great — now I have a very detailed list of work to do.
I just wanted the files.
So I built Peak Visibility. Paste your URL, and the AI crawls your site and generates:
sitemap.xml — ready to submit to Google Search Console
robots.txt — correctly configured for your structure
meta-tags.html — optimized title + description for every page
schema-markup.html — JSON-LD structured data matched to each page's content type
opengraph.html — og: and Twitter Card tags for every page
Everything comes in a ZIP you deploy in 10 minutes. No report. No checklist. No manual writing.
Free plan is 5 pages per scan, no credit card. Paid plans go up to 500 pages with REST API access for agencies.
Would love feedback on positioning and pricing from anyone who's dealt with the same SEO frustration.
I think the interesting shift here is removing the “interpretation layer” entirely. Most SEO tools assume the user wants to understand what’s wrong. You're assuming they already understand the problem and just want a deployable fix. That’s a very different mental model for SEO tooling, and it could actually change who the product is for more than what it does.
"Free tier is doing work for two different founders—one will pay, one won't"
Solo SEO consultant (freelancer, pre-seed energy) sees free 5-page tier, gets value, maybe upgrades to $29/mo for 2-3 client sites. In-house marketing team at a Seed-stage startup tests it free, then realizes they need bulk scanning + audit logs + team seats, which your current paid tier doesn't have. Both start at free, but their stage-fit needs diverge immediately. The first tier should probably split there — not on page count, but on company-stage use case. Testing free tier uptake by buyer type (freelance vs. in-house) before locking pricing could save a lot of wrong positioning down the line. That's the kind of thing stage-fit analysis helps surface — SoftRankings does it for product listings.