Simha Digital

Simha Digital is an AI-powered SEO analytics workspace that brings all of a project's SEO together — Google Search Console, Google Analytics 4, PageSpeed Insights, Chrome UX Report and a site crawl — and turns it into a plan of what to fix first. It covers six or more data sources in one workspace, eight audit categories and more than sixty rules, and adds a check of how visible a site is in AI answers. Its stated purpose is clear insights, real strategy and sustainable growth, and its positioning is that it tells you what to fix, not just what is wrong. Most SEO tooling surfaces problems and leaves the prioritisation to the person reading the report. Simha Digital frames the problem differently: SEO data is scattered across Search Console, Analytics 4, PageSpeed, real-user Chrome UX data and crawls, and the real question is which of hundreds of issues actually matters for traffic. The site also points to a second shift: search is moving into ChatGPT, Perplexity and Google AI Overviews, so being found, read and quoted by AI engines is becoming part of SEO. Simha Digital's answer is to combine the classic data sources with AI-search checks, give the site one score, order the work by traffic at stake, and explain what changed and why — including whether ChatGPT-style answers cite your site, and who gets cited instead. The workspace starts with site health and priorities: one 0–100 score for the whole site and a task list ordered by impact, so the first item on the list is the thing that should grow traffic most. Technical audit by template then crawls the site and groups hundreds of issues into a handful of root causes — duplicate titles, missing H1s, broken links, canonicals — with the affected URLs listed for each and a fix attached. Instead of working through issue-by-issue lists, the audit is organised by template, so a root cause shared by many pages is handled once. The site states eight audit categories and sixty-plus rules behind this, and the interface preview shows an example SEO health score of 86/100 alongside site health and priorities, technical audit by template, and speed and Core Web Vitals panels. Speed and Core Web Vitals use PageSpeed plus real-user Chrome UX data for key pages, covering LCP, CLS and INP along with what slows them down — a way to see both lab and field performance rather than one number. Growth points and revenue add a commercial layer: queries that are one push away from page one, plus leads and revenue from organic search pulled from Analytics 4, so you can see whether SEO pays off rather than only whether rankings moved. A large part of the product is AI search — GEO and AEO. Readiness for AI engines (GEO) asks whether AI crawlers are allowed in, whether there is an llms.txt, and whether pages have structured data, clear headings and answers an engine can quote, producing a 0–100 readiness score with concrete fixes per page. The checks listed include crawler access for GPTBot, ClaudeBot, PerplexityBot, Google-Extended and more, llms.txt, schema.org markup, FAQ and author signals, and quotable content such as answer-first paragraphs, tables and definitions. Visibility in AI answers (AEO) goes further and tracks how often your site appears in AI Overviews and AI Mode, impressions and clicks from those surfaces, the queries where you appear and the ones where you do not, an AI-visibility trend per query, and where competitors are cited instead of you — updated as new data comes in. The output side of the workspace is a report and plan written by AI: a rebuildable snapshot for any period, including problems, solutions, growth points and a detailed AI summary of what changed and why. Alongside it runs an AI assistant, available 24/7 on your own data, which you can ask why traffic dropped or which queries are the easiest wins — it answers from your own audit, queries and traffic rather than from generic advice. The overall workflow is described in three steps: connect your website by adding your domain and connecting your data sources; see what matters by running an audit and discovering opportunities; then take the next step by setting priorities and working with the AI assistant. What the product presents as its distinctive approach is that GEO and AEO findings land in the same plan as everything else, prioritised by traffic at stake — no separate tool and no separate report for AI search. The stated outcomes are faster decisions and visible growth: a single health score to track, a prioritised list instead of an issue backlog, and an explanation of changes so you know why numbers moved. Because AI-search readiness and AI-answer visibility feed the same plan, the work needed to be read and cited by AI engines is ranked next to technical and content fixes rather than treated as a separate project. Concrete scenarios described or shown on the site include connecting Search Console and Analytics 4 for a site and running a crawl to get one health score; using the template-level audit to clear duplicate titles, missing H1s, broken links and canonical problems across many URLs at once; checking Core Web Vitals for key pages using PageSpeed and real-user data; auditing crawler access, llms.txt, schema and quotable content per page to improve GEO; monitoring AI Overviews and AI Mode for the queries where you appear and where competitors are cited instead; asking the assistant why traffic dropped; and reviewing a rebuildable AI-written report of problems, solutions and growth points for a chosen period. Plans are three: Starter at $19.90 per month for up to 5 projects with a 7-day free trial, Pro at $39.90 per month for up to 10 projects, and Turbo at $79.90 per month for 20 projects, then $3.59 per project. Every plan lists the same core capabilities — all data sources and audit, Core Web Vitals and priorities, the AI project assistant and unlimited checks — and you can cancel anytime. Project limits suggest the workspace is used by people running SEO across several sites, from validating an idea through to growing traffic. In short, Simha Digital packages SEO data collection, technical auditing, Core Web Vitals, AI-search readiness and AI-answer visibility into one workspace, then converts all of it into a single score, a plan ordered by impact, and an AI assistant that answers questions from your own data — so the question shifts from what is wrong to what to fix first.