inemaSEO 7 — Systems: build your own open Semrush|INEMA.CLUB-PRO

inemaSEO Program · course 7 of 7 · 8 lessons

Systems: build your own open Semrush

Five open, free terminal tools that do for your site what the paid suites do: a full-site audit, an AI readiness score, Search Console history, Bing AI citations, and AI bots in the log. In eight lessons you run each one, tie everything into a routine with an agent, and decide, with clear criteria, when it's worth paying.

Laptop with an open terminal on a dark desk, with the course title: build your own open Semrush.
  • 5open tools (MIT)
  • 8lessons with real output
  • 16exercises with "done when"
  • 0paid API on the main path

The lessons

In the order of the work: understand where each piece of data comes from, run the five tools, tie everything into a routine, and decide when to pay.

  1. Lesson 1 · 14 minWhat a "Semrush" does and where each piece of data comes fromAn SEO suite pulls together, on one screen, data from very different sources: your own site, official Google and Bing dashboards, and data the company buys or scrapes. You get the first two for free. Knowing where each number comes from is what separates what you can build yourself from what only exists as a paid product.
  2. Lesson 2 · 18 minauditor: the X-ray of the whole siteThe X-ray from course 1 looks at one page at a time. The auditor crawls the site politely, like a bot that doesn't run JavaScript, and checks every page: canonical, hreflang, sitemap, orphans, robots.txt by AI bot purpose, and CDN blocking. Each finding comes with a priority and a one-line fix.
  3. Lesson 3 · 16 minagente-ready: a 0–100 score with weights you can change"AI readiness" scanners give you a score, but almost none publish how it is calculated. agente-ready keeps each weight, the reason, and the source in a versioned file, pesos.json. You get your site's score, see what weighs most, and if you disagree with a weight, you change it and run again.
  4. Lesson 4 · 17 mingsc-historico: Search Console foreverSearch Console keeps 16 months. Two years from now, the week your site started being found by people who don't know your brand will be gone. gsc-historico imports the weekly CSV into a local database that never deletes anything and builds the report that matters: branded, non-branded and anonymized, what went up, what went down, and the content backlog.
  5. Lesson 5 · 15 minbing-ia: Microsoft's official AI citations cross-referenced with GoogleSince February 2026, Bing Webmaster has had the AI Performance report: how many times Copilot and Bing's AI summaries cited each of your pages, and the phrases the AI used to search. Today it's the only official, free "I was cited by AI" dashboard. bing-ia stores these exports and cross-references them with Google.
  6. Lesson 6 · 17 minbotlog: who really reads your siteThe robots.txt tells you what you allow; the server log tells you who showed up. botlog reads the access log, sorts the AI bots by purpose (search, user request, training), checks each one's IP against the company's official list, and shows you the fake ones. And it filters the log before you store or show it, because a person's IP is personal data.
  7. Lesson 7 · 18 minConnecting it all: the weekly and monthly routine with an agentFive separate tools turn into forgotten work. One script runs each week's tools and each month's tools and saves the output with a date. An agent on your subscription (Claude Code or Codex) reads the report and proposes three actions, with the number that justifies each. You decide, and you are the one who changes the site: that is the human gate.
  8. Lesson 8 · 18 minWhen to pay: DataForSEO, Firecrawl, Apify, Semrush, and AhrefsThe five tools cover your own site. Market and competitors are a different thing: someone collected the data and charges for it. Paying makes sense when a decision depends on data that only exists as a paid product, for a set period and with a spending cap. This lesson gives you the criterion, shows what each service delivers, and closes with your own tool plan.

Who it's for

  1. 1People who already use a terminal (or are willing to) and look after their own site or their clients' sites.
  2. 2People who pay for an SEO suite, or are thinking about it, and want to know what they can do for free with their own site's data.
  3. 3People who want to measure AI bots and citations with an official source, not with a dashboard number nobody explains.

What you'll be able to do

  1. 1Audit the whole site and get the AI readiness score, with weights you can change.
  2. 2Keep Search Console data forever and read branded, non-branded, and anonymized queries week by week.
  3. 3Cross-check Bing's official AI citations with Google and see which bots really read the site.
  4. 4Run everything on a routine with an agent that reads the reports and only proposes, and decide when to pay for data.

Where this course fits in the inemaSEO Program

  1. 11 Foundation, 2 Content, and 3 Measurement: the technical groundwork, the pages only you can write, and the search numbers without your brand.
  2. 24 In the AIs, 5 With Agents, and 6 Professional: official AI dashboards, agents on the repetitive work, and SEO as a service.
  3. 37 Systems (this course): the tools that measure all of this, open at inemaseo-sistemas. You can take it after course 1.