The definitional layer of AI search.

Yevhen Pavlenko · 12 min · 2026-05-11

Answer Engine Optimization (AEO) and AI SEO: The Complete 2026 Guide

Answer Engine Optimization (AEO) — also called AI SEO or AI search engine optimization — is the practice of structuring content so ChatGPT, Perplexity and Google AI Overviews cite it. Definition, mechanics, four-layer extraction recipe.

Dmytro Popryadukhin · 7 min · 2026-04-29

AEO vs GEO vs SEO 2026: AEO vs SEO, GEO vs SEO, AEO vs GEO Compared

AEO vs SEO, GEO vs SEO, AEO vs GEO — how the three disciplines actually differ in 2026. AEO targets answer surfaces (AI Overviews, voice), GEO targets generative engines (ChatGPT, Perplexity), SEO ranks blue links. Practical line and overlap.

Yevhen Pavlenko · 12 min · 2026-05-11

Generative Engine Optimization (GEO): What is GEO, Services + Tools 2026

Generative engine optimization (GEO) is the practice of getting your brand cited inside generative AI answers — distinct from generic geo marketing. What is GEO, how it overlaps with AEO, GEO services, GEO tools 2026.

llms.txt

llms.txt: the file every B2B site should have shipped already

llms.txt is the AI-crawler equivalent of robots.txt — a structured map of what your site is, what content matters, and how AI systems should describe it. Here is the spec, the format, and a copy-pasteable starter.

Yevhen Pavlenko · 8 min · 2026-04-28

Yevhen Pavlenko · 11 min · 2026-05-11

How to choose an AEO agency in 2026 — 12-point buyer's guide

Picking an Answer Engine Optimization agency without buying noise. 12 questions to ask, 5 red flags, what an honest agency reveals before contract — based on 50+ AEO/GEO retainers we have run since 2024.

Schema

The schema stack that gets you cited in ChatGPT and Perplexity

JSON-LD only. Article + FAQPage + Person + Organization + BreadcrumbList + Service+Offer. Here is the exact stack we deploy on every Answerly engagement and what each one does for AI citation.

Dmytro Popryadukhin · 9 min · 2026-04-27

Dmytro Popryadukhin · 8 min · 2026-04-26

The four-layer extraction recipe AI systems quote verbatim

Hero (≤3 sentences) → X-is-Y intro → Quick Facts table → H2-as-question sections. The structural recipe we apply to every priority page on every Answerly engagement, with worked examples.

Yevhen Pavlenko · 10 min · 2026-05-12

The AEO checklist — 32-point answer engine optimization checklist for 2026

A 32-point answer engine optimization checklist grouped into six audit areas — crawler access, schema, content structure, brand entity, E-E-A-T and measurement. Each item explains why it matters and how to verify it.

Viktoriia Chumak · 7 min · 2026-04-25

Prompt research has replaced keyword research for B2B

Buyers no longer type 'VASP license' — they type the full task into ChatGPT. Here is how to mine real prompts, why keyword volume metrics fail, and the tooling stack we use across our engagements.

Viktoriia Chumak · 7 min · 2026-05-26

Glossary-page AEO — definitions as a long half-life citation factory

Glossary entries earn AI citations at 3× the rate of regular blog posts on definitional prompts, and they hold them roughly twice as long. The structure that wins, the anti-stub rule, and how a 40-entry glossary becomes a citation factory.

Viktoriia Chumak · 6 min · 2026-04-18

How to write AI-generated content that does not read like AI-generated content

LLM-tells like 'delve', 'tapestry', 'robust', 'in conclusion' make AI-detection trivial and erode trust signals. Here is the bann-list, the human-signal checklist, and the post-edit pipeline we run on every Answerly page.

Dmytro Popryadukhin · 5 min · 2026-04-17

The Quick Facts table is the highest-ROI single content move you can make

Five rows of Parameter / Value, mandatory on every priority page. AI extractors quote table rows verbatim. Here is why this single block does more than any other for citation, with examples.

Schema

Named experts and E-E-A-T: the schema move that doubles citation rate

schema.org Person with verifiable sameAs is the single highest-ROI E-E-A-T move in regulated niches. Here is the implementation, the verification standard, and how AI extractors weight identity signals.

Yevhen Chyzh · 7 min · 2026-04-16

Karina Fedorova · 7 min · 2026-04-14

Topical authority through content clusters, not standalone articles

AP Education shipped 5×3 = 15 articles per month per direction under a single TZ. Here is how to architect content clusters so AI extractors see one authoritative source, not fifteen disconnected pages.

Dmytro Popryadukhin · 6 min · 2026-04-12

Wikidata and the Knowledge Graph: the entity-authority play most brands skip

AI systems lean heavily on Wikidata for entity disambiguation. A brand without a Wikidata Q-number is invisible to half the LLMs out there. Here is how to build the entity, what links matter, and what we will not do.

llms.txt

GPTBot, PerplexityBot, AI Crawler robots.txt: the 2026 Access Policy

Should you let GPTBot, ClaudeBot and PerplexityBot crawl your site? Yes. The 2026 default is to allow the major AI crawlers — that is how you get cited. AI crawler robots.txt allow-list, exceptions, and why blocking is wrong for B2B.

Yevhen Pavlenko · 5 min · 2026-04-10

Viktoriia Chumak · 6 min · 2026-04-09

Voice Search Optimization 2026: Voice Search SEO for AI Assistants

Voice search optimization (voice search SEO) is how brands earn answers from Siri, Alexa, Google Assistant and ChatGPT voice. How to optimize for voice search with one structural rewrite shared with AI text-search, plus what changes for voice.

Dmytro Popryadukhin · 6 min · 2026-04-08

Multi-language AEO: the hreflang and translation rules that compound

AP Education shipped EN, UA and PL versions on every priority page. Here is the multi-language architecture that compounds across regions, the hreflang implementation, and what we never machine-translate.

Dmytro Popryadukhin · 9 min · 2026-04-07

A 90-day AEO roadmap that gets you cited in ChatGPT (built from the G&S case)

Ninety days, week by week, from zero to first-place citations. The exact plan we ran for Gofaizen & Sherle, generalised so any B2B brand can adapt it. With timelines, deliverables, and decision gates.

Schema

FAQPage vs QAPage: which schema AI citers actually trust in 2026

Most teams paste FAQPage on every page that has a question. In 2026 LLM extractors are picky — and there's a third pattern (Article + FAQ section) that beats both. Worked JSON-LD, citer-by-citer behaviour, common mistakes.

Dmytro Popryadukhin · 7 min · 2026-05-08