Site health and prioritized tasks
Produces a 0–100 site score and an impact-ordered task list so users can identify which SEO issues to address first.
Simha Digital is an AI-powered SEO analytics workspace that combines Search Console, Analytics 4, PageSpeed, site crawling, and AI-search visibility data. It helps website owners and SEO teams identify priorities, understand traffic and technical issues, and turn findings into an action plan.
Simha Digital is an AI-powered SEO analytics workspace that consolidates Search Console, Analytics 4, PageSpeed, Chrome UX Report data, site crawling, and AI-search visibility checks. Its core purpose is to turn site health, technical, performance, organic-search, and AI-search findings into a prioritized plan of what to fix first.
The product combines a whole-site health score, template-based technical auditing, Core Web Vitals analysis, GEO readiness checks, AEO visibility tracking, AI-written reports, and an AI assistant that answers questions using the project's audit, query, and traffic data. Users can connect a website, run an audit, review opportunities, and work through the resulting priorities.
Produces a 0–100 site score and an impact-ordered task list so users can identify which SEO issues to address first.
Crawls a site and groups issues such as duplicate titles, missing H1 headings, broken links, and canonical problems into root causes, with affected URLs and a suggested fix.
Combines PageSpeed and real-user Chrome UX data for key pages, covering LCP, CLS, and INP and identifying factors that slow pages down.
Checks AI-search readiness through crawler access, llms.txt, structured data, headings, and quotable answers, while tracking appearances in AI Overviews and AI Mode.
Creates period-based reports with problems, solutions, growth points, and an AI summary of changes; the assistant answers questions from the project's audit, query, and traffic data.
Highlights queries close to page one and connects organic-search activity with leads and revenue recorded in Analytics 4.
A site owner or SEO practitioner can review the overall health score and impact-ranked tasks to decide which technical or content issues to address first.
An SEO team can use the assistant alongside query and traffic data to ask why organic traffic changed and identify potential next steps.
Teams managing sites with multiple page types can use grouped crawl findings and affected-URL lists to work from recurring root causes instead of isolated errors.
Content and technical teams can review crawler access, llms.txt, structured data, headings, and answer-focused content, then monitor whether the site appears in AI answers.
Teams can compare organic-search queries with Analytics 4 leads and revenue to assess whether search activity is contributing to measurable outcomes.
The homepage lists Google Search Console, Google Analytics 4, PageSpeed Insights, and Chrome UX Report data, along with site-crawl information and AI-search visibility and readiness checks.
It groups crawl findings by root cause and can identify duplicate titles, missing H1 headings, broken links, and canonical issues. Findings include affected URLs and a suggested fix.
GEO checks whether AI crawlers can access and understand the site, including llms.txt, structured data, headings, and quotable answers. AEO tracking covers visibility in AI Overviews and AI Mode, related queries, and competitor citations.
Yes. The homepage states that the Starter plan includes a 7-day free trial and that plans can be canceled at any time.
The homepage lists Starter at $19.90 per month for up to 5 projects, Pro at $39.90 per month for up to 10 projects, and Turbo at $79.90 per month for 20 projects, with an additional $3.59 per project after that. All three list the same core data-source, audit, Core Web Vitals, assistant, and unlimited-check features.
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