Beginner to Intermediate

AI SEO — SEO + GEO + AEO

Rank in search, and get cited by the AI that is replacing it.

A two-month live course covering classical SEO — crawling, keywords, technical audits, structured data — and the two disciplines replacing parts of it: generative engine optimisation and answer engine optimisation. The live case study is this site, whose AEO and GEO implementation is open for students to read, including what it got wrong first.

Duration
2 months
Live teaching
~29 hours
Fee
₹8,999
Format
Live online

Who this is for

SEO practitioners, content leads and founders watching AI assistants absorb the traffic their pages used to get.

Prerequisites

  • Basic familiarity with how websites are structured
  • Access to a site you can change, ideally

Who it is not for

Anyone wanting paid-search or media-buying training. This is organic only.

Compare all five courses →

Outcomes

What you will be able to do

Written as capabilities rather than topics, because a topic list tells you what was said in the room and not what you can do afterwards.

  • Audit a site technically and prioritise the fixes that matter
  • Build a keyword map from intent rather than volume
  • Implement and validate structured data without overclaiming
  • Structure content so generative engines cite it
  • Ship llms.txt and agent-readable surfaces
  • Measure AI-referred traffic and citations

Curriculum

7 modules, ~29 live hours

Every module states the hours it takes and what you can do at the end of it.

01

SEO fundamentals

3.5 hrs
  • Crawling, rendering, indexing, ranking — as four separate failure points
  • Search intent and the format it demands
  • What actually moves rankings in the current landscape
  • Diagnosing why a specific page does not rank

After this module: Diagnose a non-ranking page and name the actual cause.

02

Keyword research

3.5 hrs
  • Clustering by intent rather than by volume
  • Reading a SERP for what it will take to enter it
  • Sizing opportunity honestly against your authority
  • Building a keyword map a whole site can be planned from

After this module: Produce a keyword map that survives contact with a content calendar.

03

Technical SEO

5 hrs
  • Core Web Vitals, and which fixes actually move them
  • JavaScript rendering and what a crawler really receives
  • Sitemaps, canonicals, hreflang and the ways they contradict each other
  • Log analysis and crawl budget on large sites

After this module: Run a full technical audit and rank the fixes by expected impact.

04

Structured data

3.5 hrs
  • The schema types that earn something, and the many that do not
  • Article, FAQ, HowTo, Product, Course, Organization, Person
  • Validation, testing and the manual-action risk of overclaiming
  • Keeping schema and visible copy structurally unable to disagree

After this module: Ship schema that earns an enhancement instead of a warning.

05

GEO — generative engine optimisation

5 hrs
  • How generative engines select and attribute sources
  • Entity building: consistency across independent surfaces
  • Being the citable source rather than the summarised one
  • Measuring citations when no tool reports them yet

After this module: Get quoted by an AI assistant, not merely ranked by a search engine.

06

AEO — answer engine optimisation

5 hrs
  • Answer-first structure and the extractable first paragraph
  • FAQ and HowTo coverage that matches real questions
  • llms.txt, markdown content negotiation and agent-readable surfaces
  • Live teardown: this site’s implementation, and the mistakes in its first version

After this module: Structure a site so an answer engine can lift from it cleanly.

07

Content strategy and measurement

3.5 hrs
  • Briefs that produce rankable, citable drafts
  • Refresh cycles and pruning
  • Attributing AI-referred traffic in analytics
  • A ninety-day plan with checkpoints you can defend

After this module: Leave with a ninety-day plan and a way to tell whether it worked.

Projects

What you will build

Each one exists to prove something specific to someone who is deciding whether to hire you.

01

Full technical audit of a real site

You can find and prioritise real problems.

02

Schema implementation, validated

You can ship structured data that passes.

03

An AEO/GEO plan with measurement

You can work where the traffic is going.

Tools you will actually use

Google Search ConsoleScreaming Frog or equivalentPageSpeed InsightsRich Results TestThis site’s repository

How it runs

What a week actually looks like

Live, not recorded

Sessions are taught live so you can interrupt. Recordings are shared afterwards for anyone who misses one.

Small batches

Small enough that everyone gets looked at. If a batch gets large, it splits rather than scales.

Doubt support

A dedicated channel between sessions, and time set aside in each class for questions from the last one.

Cadence

Two to three live sessions a week, evenings and weekends on Indian Standard Time, so it fits around a job.

The certificate

A certificate of completion, issued by NKable, confirming you finished the course and its projects. It certifies completion — not proficiency — and it is not a university qualification. It is not affiliated with, accredited by, or issued on behalf of any university.

What is not included

  • Paid search, media buying or ads management
  • Link buying, PBNs or anything that risks a manual action
  • Paid SEO tool licences (free tiers and Search Console cover the coursework)
  • Ranking guarantees — anyone offering those is selling something else

Career support, itemised

So “career guidance” cannot be read as a job promise, here is exactly what it means.

  • Audit deliverable review, so it is client-presentable
  • Positioning and pricing for freelance SEO work
  • Portfolio review

Full course fee

₹8,999

2 months · ~29 live hours · no separate material or exam fees

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Fees are payable after a short call, not from this page. Refund policy · Enrolment terms

Who teaches this

Nishi Kant Chandra

Based between New Delhi, India and Moscow, Russia

MBA in Business Analytics from O.P. Jindal Global University (O grade), and an M.Sc. in Business Analytics & Big Data Systems from HSE University, Moscow. Google-certified in Data Analytics, with advanced prompt engineering from Vanderbilt. Two and a half years supporting a SaaS platform’s enterprise clients, and the person who built and maintains every tool on this site.

See the full background and the work →

AI SEO — SEO + GEO + AEO — questions people ask

Is GEO just SEO with a new name?

They overlap, and the overlap is the boring, important part. What differs is the goal: ranking gets you a link, being cited gets you named inside the answer. That rewards entity consistency and extractable structure much more heavily than classical ranking does.

What is the live case study?

This site. Its llms.txt, markdown content negotiation, .well-known agent manifests, nine-locale hreflang and Content-Signal robots.txt are all open for students to read — including the audit that found what the first version got wrong and the build guards written so it could not recur.

Do I need my own website for the course?

It helps a great deal, because the audit and implementation work land somewhere real. If you do not have one, a practice site is provided, but you will get more out of it with a site you can change.

Will I need paid SEO tools?

No. Search Console, PageSpeed Insights, the Rich Results Test and a free-tier crawler cover the coursework. Paid tools speed up keyword research; they do not teach you anything the free ones cannot.

Can you guarantee my rankings will improve?

No, and nobody honestly can. What the course does is remove the reasons a page cannot rank and give you a measurement process, so you can tell whether what you did worked instead of guessing.

How do you measure AI citations?

A repeatable prompt set run monthly across the major assistants and recorded over time, plus referral traffic from AI products where analytics can see it. It is manual, the tooling does not exist yet, and the course teaches the process rather than pretending otherwise.

What does the AI SEO — SEO + GEO + AEO course cost?

₹8,999 for the full 2 months, covering roughly 29 hours of live teaching plus the projects. There are no separate material or examination fees. Refund terms are on the refund policy page.

How long is the course and how much live teaching is there?

2 months, with about 29 hours of live sessions across 7 modules. Sessions are live and online, not recorded lectures you watch alone.

What do I need to know before starting?

Basic familiarity with how websites are structured. Access to a site you can change, ideally.

Is there a certificate?

Yes — a certificate of completion issued by NKable, confirming you finished the course and its projects. It certifies completion, not proficiency, and it is not a university qualification: it is not affiliated with, accredited by or issued on behalf of any university.

What is not included?

Paid search, media buying or ads management; Link buying, PBNs or anything that risks a manual action; Paid SEO tool licences (free tiers and Search Console cover the coursework); Ranking guarantees — anyone offering those is selling something else. Saying this plainly is deliberate — every course page lists what is included, and almost none say what is not.

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Join the AI SEO — SEO + GEO + AEO cohort

Message me and tell me what you want to be able to do afterwards. If this course is not the right one for that, I will say so and point you at the one that is.

Nothing is charged from this page. You get a reply with the next batch date, the schedule and the fee, and payment happens separately after a conversation.