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Simha Digital

Simha Digital is an SEO analytics workspace that combines search, analytics, technical audit, page-speed, and AI-search visibility data. It helps site owners and SEO practitioners prioritize fixes, investigate traffic and query changes, and track GEO/AEO readiness.

Simha Digital

SEO analytics with prioritization and AI-search visibility

Simha Digital is an SEO analytics workspace for bringing search performance, web analytics, technical audits, page-speed measurements, and AI-search visibility into one project view. It is designed to move from disconnected measurements to a prioritized list of work, rather than presenting SEO data without an action plan.

The product combines Google Search Console, Google Analytics 4, PageSpeed Insights, Chrome UX Report data, a site crawler, and GEO/AEO checks. Users can review site health, technical issues, Core Web Vitals, organic growth opportunities, and visibility in AI answers, then ask an AI assistant questions based on their own connected audit, query, and traffic data.

Core capabilities

Site health and priorities

Assigns the site a 0–100 health score and orders tasks by impact, helping users decide which SEO work to address first.

Template-based technical audit

Crawls a site, groups issues such as duplicate titles, missing H1s, broken links, and canonical problems into root causes, and shows affected URLs with suggested fixes.

Speed and Core Web Vitals

Combines PageSpeed Insights and real-user Chrome UX Report data for key pages, covering LCP, CLS, and INP alongside explanations of what slows pages down.

GEO readiness checks

Evaluates AI-search readiness through crawler access, llms.txt, schema.org markup, headings, and answer-oriented content, with a readiness score and page-level fixes.

AEO visibility tracking

Tracks appearances in AI Overviews and AI answers, including relevant queries, impressions and clicks as described on the site, and cases where competitors are cited instead.

AI reports and data-aware assistant

Produces period-based reports with problems, solutions, growth points, and an AI summary of changes; its assistant answers questions using the connected audit, query, and traffic data.

Practical use cases

  • Audit a site and set priorities

    Connect search, analytics, crawl, and performance data to establish a site health baseline, then use the impact-ordered task list to choose the first technical fixes.

  • Find recurring technical problems

    Use template-level grouping and affected-URL lists to investigate recurring problems such as duplicate titles, missing H1s, broken links, and canonical issues across a larger site.

  • Identify organic growth opportunities

    Review queries close to page one, organic traffic, leads, and revenue from Analytics 4 to identify SEO opportunities and connect optimization work with business outcomes.

  • Prepare for AI search

    Check whether AI crawlers can access and understand the site, address llms.txt, structured-data, heading, and quotable-content findings, and monitor whether AI answers cite the site.

  • Investigate changes with the AI assistant

    Ask why traffic changed or which queries may be easier wins, using the assistant’s access to the project’s audit, query, and traffic information to guide investigation.

Pros and Cons

Pros

  • Brings search, analytics, performance, crawl, and AI-search information into one workspace.
  • Prioritizes technical and growth tasks instead of only displaying raw SEO metrics.
  • Connects audit findings to affected URLs and proposed fixes for several technical issue types.
  • Includes both GEO readiness checks and AEO visibility tracking in the same planning workflow.
  • Lets users query an AI assistant against their connected audit, query, and traffic data.

Cons

  • The collected evidence does not explain team permissions, collaboration workflows, setup requirements, or the full list of supported data sources.
  • The product’s demo contains sample projects and sample metrics, so those figures should not be treated as evidence of a customer site’s results.
  • The dedicated pricing URL was unavailable in the collected evidence, so plan terms should be confirmed before purchase.

FAQ

Which data sources does Simha Digital use?

Simha Digital combines Google Search Console, Google Analytics 4, PageSpeed Insights, Chrome UX Report data, site crawling, and AI-search checks in one workspace. The homepage also states that the product supports more than six data sources, although the collected content does not enumerate all of them.

How does the workflow work?

Add a website, connect its data sources, run an audit, review the prioritized opportunities, and use the AI assistant to investigate questions or decide what to address next.

What does Simha Digital cover for GEO and AEO?

The product checks crawler access, llms.txt, structured data, headings, and quotable answers, then provides a 0–100 readiness score and page-level fixes. It also describes tracking visibility in AI Overviews and AI answers, including queries and competitor citations.

Is there a free trial, and what plans are listed?

The homepage lists a 7-day free trial on the Starter plan and says users can cancel anytime. It lists Starter at $19.90 per month for up to five 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; plan details should be confirmed before purchase because the dedicated pricing URL was unavailable in the collected evidence.

Quick Facts

Category
SEO analytics and site audit workspace
Primary workflow
Connect sources → audit the site → prioritize tasks → review with AI assistant
Named data sources
Google Search Console, Google Analytics 4, PageSpeed Insights, and Chrome UX Report
AI-search coverage
GEO readiness and AEO visibility in AI answers
Trial
7-day free trial on the Starter plan; cancel anytime
Listed plans
Starter, Pro, and Turbo; homepage lists monthly pricing and project limits
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