Simha Digital

Simha Digital rolls the whole site into a single 0-100 score, then turns it into a task list ordered by impact. The value here is the ordering. A crawl can surface hundreds of issues. Most tools leave you to guess which matter. This one ranks them, so the top of the list is where your traffic gains are biggest. Start at the top. Stop when the budget runs out.

The crawler groups issues into root causes instead of dumping a flat error log. Duplicate titles, missing H1s, broken links and canonicals each land in their own bucket with the affected URLs listed and a fix attached. That grouping is what makes the output usable. Fixing one template problem can clear dozens of URLs at once. You can see exactly which ones.

LCP, CLS and INP come from PageSpeed Insights plus real-user Chrome UX Report data, so you're not just looking at a lab score. It covers your key pages and points at what's slowing them down. Real-user data matters more than a synthetic test here, since it reflects how visitors on actual devices experience the site.

This checks whether ChatGPT, Perplexity and Google AI can actually read and cite your pages. It verifies crawler access, looks for an llms.txt file, checks structured data and heading structure, and rates whether your pages have answers an engine can quote. You get a 0-100 readiness score. The fixes come per page. Not every site needs this yet. The ones competing for informational queries increasingly do.

Separate from readiness, AEO tracks the results. It shows how often your site appears in AI Overviews and AI Mode answers, which queries bring you there, and where competitors get cited instead. If that last part stings, that's the point. The gap list is often more useful than the wins because it shows where a small content push could earn a citation.

For any period you pick, Simha Digital rebuilds a snapshot covering problems, solutions, growth points and a written summary of what changed and why. It's the part that saves the most time if you report to clients or a manager. The narrative comes from your own data, not from scratch.

You can ask why traffic dropped or which queries are the easiest wins, and the assistant answers from your audit, query and traffic data rather than generic advice. That grounding is the difference between a useful answer and a chatbot guessing. It still depends on what you've connected. Thin data means thin answers.

The tool lists queries that are one push away from page one, and ties organic search to leads and revenue through Analytics 4. That connection is what lets you answer the question every stakeholder eventually asks: is the SEO work actually paying off? Seeing revenue next to rankings changes how the whole report lands.