---
title: "AI Search Guides — What is AEO, GEO, AI SEO & how it works | Answerly Agency"
description: "Evergreen guides on AI search: what AEO, GEO and AI SEO are, how LLM retrieval and citations work, schema, llms.txt, entity optimization and E-E-A-T. The reference layer of the Answerly knowledge hub."
url: https://answerly.agency/guides/
lang: en
---

Guides · reference layer · 21

# The definitional layer of AI search.

Evergreen guides, not news. What AEO, GEO and AI SEO actually are, how LLM retrieval and citation work, and the structural rules — schema, llms.txt, entity signals, E-E-A-T — that decide whether an AI engine quotes you. Start here if the vocabulary is new; every guide opens with a direct answer and a Quick Facts table.

## All guides

-   [AEO fundamentals
    
    ### 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.
    
    Yevhen Pavlenko · 12 min · 2026-05-11](/blog/what-is-answer-engine-optimization/)

-   [AEO fundamentals
    
    ### 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.
    
    Dmytro Popryadukhin · 7 min · 2026-04-29](/blog/aeo-vs-geo-vs-seo/)

-   [GEO tactics
    
    ### 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.
    
    Yevhen Pavlenko · 12 min · 2026-05-11](/blog/what-is-generative-engine-optimization/)

-   [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](/blog/llms-txt-spec-2026/)

-   [Frameworks
    
    ### 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.
    
    Yevhen Pavlenko · 11 min · 2026-05-11](/blog/how-to-choose-aeo-agency/)

-   [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](/blog/schema-stack-for-ai-citation/)

-   [Frameworks
    
    ### 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.
    
    Dmytro Popryadukhin · 8 min · 2026-04-26](/blog/four-layer-extraction-recipe/)

-   [Frameworks
    
    ### 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.
    
    Yevhen Pavlenko · 10 min · 2026-05-12](/blog/aeo-checklist/)

-   [GEO tactics
    
    ### 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 · 2026-04-25](/blog/prompt-research-vs-keyword-research/)

-   [GEO tactics
    
    ### 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 · 7 min · 2026-05-26](/blog/glossary-page-aeo/)

-   [Frameworks
    
    ### 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.
    
    Viktoriia Chumak · 6 min · 2026-04-18](/blog/de-ai-content-rules/)

-   [Frameworks
    
    ### 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.
    
    Dmytro Popryadukhin · 5 min · 2026-04-17](/blog/quick-facts-table-pattern/)

-   [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](/blog/eeat-named-experts/)

-   [Frameworks
    
    ### 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.
    
    Karina Fedorova · 7 min · 2026-04-14](/blog/topical-authority-clusters/)

-   [GEO tactics
    
    ### 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.
    
    Dmytro Popryadukhin · 6 min · 2026-04-12](/blog/wikidata-knowledge-graph/)

-   [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](/blog/ai-crawler-access-policy/)

-   [GEO tactics
    
    ### 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.
    
    Viktoriia Chumak · 6 min · 2026-04-09](/blog/voice-search-conversational-prompts/)

-   [Frameworks
    
    ### 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 · 6 min · 2026-04-08](/blog/multi-language-aeo/)

-   [AEO fundamentals
    
    ### 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.
    
    Dmytro Popryadukhin · 9 min · 2026-04-07](/blog/aeo-roadmap-90-days/)

-   [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](/blog/faqpage-vs-qapage-schema/)

-   [AEO fundamentals
    
    ### Brand-name disambiguation when your brand shares a name with an acronym
    
    Your brand name collides with VASP, CASP, CMS or another business — AI Overviews summarise the wrong entity. The fix: title pattern, disambiguatingDescription, sameAs, Wikidata, 60–90 day timeline.
    
    Dmytro Popryadukhin · 8 min · 2026-05-08](/blog/brand-name-disambiguation/)
