AI for SEO
How search works in the age of AI answers, keyword research, Search Console, and writing with AI responsibly.
What this course covers
For marketers, content writers and business owners who want their site to be found. You learn how search engines find and rank pages, what AI Overviews and AI assistants change (and what is not yet known), search intent, and keyword research with AI as the helper and data as the judge. You read impressions, clicks, CTR and position in Search Console, then brief content with AI without publishing unchecked text. Later units cover technical SEO, E-E-A-T, measurement and being cited by AI assistants.
New to AI? Start with AI & data fundamentals.
Part of the career paths:Data analyst
Units and bites
- Unit 15 bitesAbout 15 min
Search, AI and your data
How search engines work, what AI answers change, keyword research, Search Console, and writing with AI responsibly.
- 3 min
How search works
Crawl, index, rank: the three steps a page has to pass before it appears in search results.
- 3 min
AI answers in search
AI Overviews and assistants such as ChatGPT or Perplexity are changing how people search. What is clear, and what is not yet.
- 3 min
Search intent and keyword research
AI helps you brainstorm and group keywords; Search Console data makes the call.
- 3 min
Reading Search Console numbers
Impressions, clicks, CTR and average position: what they mean, and how to find opportunities in the queries table.
- 3 min
Writing and briefing content with AI
AI can build the outline and the draft. The facts, the real experience and the decision to publish stay with you.
- Unit 24 bitesAbout 12 min
Technical SEO basics
Making sure your pages can be found, crawled and indexed.
- 3 min
Can Google find your pages?
Internal links, orphan pages and how to check one URL's index status.
- 3 min
Sitemaps and robots.txt
Two small files that tell crawlers what exists and what they need not fetch.
- 3 min
Page speed and mobile
Why pages that are slow on phones hurt readers, and how to read the report.
- 3 min
Fixing indexing issues
Reading the Pages report in Search Console: noindex, duplicates and pages not yet crawled.
- Unit 34 bitesAbout 12 min
Content briefs and E-E-A-T
Content that shows experience, expertise, authoritativeness and trust — and AI's part in it.
- 3 min
What E-E-A-T means
The idea from Google's quality rater guidelines, and what can (and cannot) be concluded from it.
- 3 min
A complete content brief
Search intent, reader, questions to answer, sources and constraints for the AI.
- 3 min
Adding first-hand experience
Photos, test results and your own data: the parts AI cannot write.
- 3 min
Refreshing old content
Choosing which old pages are worth updating from Search Console data.
- Unit 44 bitesAbout 12 min
Measuring SEO work
Showing whether your changes made a difference, amid seasons and algorithm updates.
- 3 min
A baseline before the change
Recording the numbers before you change a page, so there is an honest comparison.
- 3 min
Seasonality in search
Ramadan, payday and 11.11: why you compare with the same period last year.
- 3 min
Annotating changes
A simple log of page changes and algorithm updates, so the charts can be explained.
- 3 min
From SEO to conversions
Connecting organic clicks to sign-ups and sales in analytics.
- Unit 54 bitesAbout 12 min
Being cited by AI assistants
What is known about how AI assistants choose sources, and how to monitor it without overclaiming.
- 3 min
How assistants pick sources
What their providers document, and what is still guesswork.
- 3 min
Clear answers and structure
Pages that are easy to cite: direct answers, clear headings and checkable facts.
- 3 min
Tracking AI mentions
Checking a set of questions regularly and recording who gets cited.
- 3 min
What we don't know yet
The current limits of measurement, and how to decide amid uncertainty.
Questions about this course
Learning
How long does AI for SEO take?
About 63 minutes in all: 5 units made of 21 bites of about three minutes each, and every bite ends with a quick check. You can do one bite a day or several in a row.
Do I need to know how to code?
Not to start. The foundations explain every idea in plain words first; where a course uses SQL or Python, it teaches it from the beginning, with a playground in the lesson.
Where should I start?
If you are new to AI, begin with AI & data fundamentals. If you know the job you want, follow its career path; AI for SEO has a place in it.
When can I start learning?
Datamew is coming to iOS and Android soon. There is no release date or price announced yet: join the waitlist and we will tell you when the app is out.
Is it available in Bahasa Indonesia?
Yes. Datamew is written in English and Bahasa Indonesia.
More courses
- AI & data fundamentalsHow AI works, how to instruct it, and how to read numbers honestly.
- Data analystHow analysts think and work: from a business question to an answer people use.
- Data engineerBuilding pipelines that deliver data on time and correct: SQL, Python, orchestration and warehouses.
- Data scientistWhat data scientists do, and how to use LLMs in the work.
- Data preparationFrom a raw export to a table you can trust: tidy shape, missing values, duplicates and formats.
- Data visualisationCharts that answer a question honestly, from picking the type to dashboards and stories.
- SQL for analysisAsking the database directly: filtering, summarising, joining tables and window functions.
- StatisticsThe statistics every data role uses: summarising, reading distributions and measuring uncertainty.
- Supervised and unsupervised learningThe two ways machines learn from data: with answers, and without them.
- Product recommendationsHow "you might also like" works, the data behind it, and how to prove it pays.
- A/B testingMeasuring whether a change really worked, with two random groups and an honestly read result.
- ForecastingForecast demand as a range, ready for Ramadan, 11.11 and 12.12.
- Customer segmentationSplitting customers into groups that differ, then treating each group differently.
- Social media analyticsRead Instagram, TikTok and YouTube numbers honestly, and use AI without being fooled.
- AI for finance reconciliationMatching bank statements to invoices: rules first, AI for the rest, people decide.
Read while you wait
Guides from the Datamew team, free on the web today.
How to Become a Data Analyst in Indonesia: Skills, Roadmap and Salary (2026)
To become a data analyst, learn spreadsheets, SQL, one BI tool such as Looker Studio or Power BI, basic statistics, and how to explain a finding in plain words. Most people can learn the basics in about six months part-time, then need two or three portfolio projects to get interviews. In Indonesia the average data analyst salary on Indeed is about Rp6.3 million a month.
8 min readHow to Become a Data Scientist in Indonesia: Skills, Roadmap and Salary (2026)
A data scientist uses Python, statistics and machine learning to predict what will happen and to test what works. Most people get there through data analysis first: learn SQL and statistics, then Python, experiments and machine learning, which takes roughly a year part-time. In Indonesia, data scientist salaries on Indeed average about Rp14.5 million a month.
8 min readBe first on the app
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