SEO+AEO+GEO: My Methodology (The Anar Rustamli Approach)

The search world has moved into a three-layer era: the classic results (SEO's arena), the answer boxes and voice assistants (AEO's topic) and the AI conversation answers (where GEO was born). Many sell these as three separate trades; my experience says something else: they are one system's three layers, and correctly built content works for all three at once. In this article I open my own geo methodology approach: the principles passed through years of testing, the concrete workflow and the measurement rules.

This is no "secret formula" sale; the opposite: the whole method is here, open. The application asks discipline; and discipline comes not from reading but from working.

The three layers' map: what works where?

The important observation: the layers are not rivals but a hierarchy: AEO does not work without SEO (you get picked into the answer box from the ranking), and GEO sits on top of both (the AI systems "learn" from trusted, structured, findable sources). Hence the "SEO is dead, GEO has come" sales pitch is illiteracy; the correct sentence: SEO is the foundation, GEO its new fruit.

The method's five principles

• 1. The question-centred architecture: every page gets built around real user questions (the headings in the question format, the answers directly beneath, the 40–60-word "direct answer" blocks); readable for the human, extractable for the machine.
• 2. The citability: the content landing in an AI answer is the concrete, sourced, numbered kind; not "we think it's good" but "under this condition, this number, this source". Giving every main claim a citation-value.
• 3. The entity clarity: who you are, what you are expert in: the consistent signature across the site (the author pages, the structured data, the name-specialty link); the AI systems learn "whom to cite" by connecting the names and the fields.
• 4. The cluster depth: not a lone article but a topic network: the pillar-cluster structure + the dense internal links; both a classic ranking signal and the AI's conclusion "this source covers the topic".
• 5. The experience signature: the layer only you can say: your own cases, the local context, the real numbers; in the trust-scarcity era that is what separates you for the reader, the algorithm and the AI alike.

The workflow: how does it look in practice?

The monthly cycle is four stages: the question reconnaissance (the classic keyword work + the AI-era addition: giving your field's questions to the AI tools and looking at the answer picture: who gets cited, which gap exists), the production standard (every material: the question headings + the direct answer blocks + the FAQ + the schema + the sources + the internal links; my article standard is those demands' checklist), the technical layer (the indexing health, the speed, the structured data check: the Search Console rhythm) and the visibility check (below). This cycle's beauty lies in its economy: the same work serves three layers; there is no such thing as "separate content for GEO" — there is correctly built content.

The measurement: the three layers' indicators

The SEO layer is classic: the ranking-clicks-traffic (the SC data). The AEO layer: the answer-box appearances (the "appearance" types in SC + the hand check on the target queries). The GEO layer is still tool-poor, and the practical method is the periodic query audit: giving your field's 20–30 key questions to the AI tools monthly and noting: does your name/site come up, in which context, which of the competitors appear? That audit table (the question / the month / the visibility) is the new era's rank-tracking. The indirect signals must be watched too: the AI-sourced referral traffic (it begins to show in the analytics), the brand-query growth and the "I saw you in the AI" customer notes: new lines for the KPI sheet.

Sources and further reading

Where to verify the source

The field's main sources:

• Google Search Central: the official documentation
• The GEO research paper (arXiv): the concept's academic source

Continuing the topic

The method's application articles:

• The article standard
• The structured data
• The technical foundation
• The era's trend map
• Other articles on this topic

The first step is the audit: give your field's 10 questions to the AI tools tonight and write the answer picture into a table. That table is your GEO starting point; six months later the same table will be the proof the method works.