Blog · 24 articles

Playbooks, tactics, and the math behind every claim.

Every article is built under the four-layer recipe we sell. If you cite a number from this blog in your own work, the source on this page is the source we measured against. Updated continuously — AI search shifts faster than monthly retainer cycles.

Featured Urgency

Why every B2B brand needs to act on AEO right now, not next year

ChatGPT and Perplexity are already capturing pre-purchase research from your buyers. Every quarter you wait, a competitor banks compounding citations that take six months to overtake. Here is the math behind the urgency.

Yevhen Chyzh · 9 min · 2026-04-30

Featured AEO fundamentals

AEO vs GEO vs SEO: how the three disciplines actually differ in 2026

AEO targets answer surfaces — Google AI Overviews, voice. GEO targets generative platforms — ChatGPT, Perplexity. SEO ranks blue links. Here is the practical line between them and which work overlaps.

Dmytro Popryadukhin · 7 min · 2026-04-29

Featured 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

Featured Crypto & Fintech

Crypto and fintech AEO: why YMYL content needs different rules

Crypto and fintech content fails AI extractor checks more often than any other niche. Here is why the YMYL layer matters, what schema.org Person buys you, and what the regulated-content premium covers.

Yevhen Chyzh · 9 min · 2026-04-23

Featured Frameworks

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

All articles

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

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

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

Measurement

How to measure AI citations: tooling, baseline, weekly cadence

Search Console will not tell you whether ChatGPT cited you. Here is the measurement stack we use on every engagement: Searchable Agent, Profound, Perplexity Pages tracking, plus the manual cross-check that catches what tools miss.

Dmytro Popryadukhin · 8 min · 2026-04-24

SaaS

SaaS AEO playbook: pillar pages that compound for twelve months

B2B SaaS sits at the base AEO multiplier because content is less regulated and named experts (CTO, product leads) already exist. Here is the playbook that turns one strong pillar page into twelve months of compounding citations.

Karina Fedorova · 8 min · 2026-04-22

Local services

Local services AEO: small radius, simple schema, 0.65× the budget

Local clinics, law firms, real-estate agencies and trades work on a smaller AEO surface — voice search, AI Overviews on local intent, simpler schema. Here is the localised playbook at $580–$3,120 / month.

Viktoriia Chumak · 7 min · 2026-04-21

AEO fundamentals

Google AI Overviews in 2026: what triggers them, what wins them

AI Overviews now appear on roughly half of commercial-intent searches across the verticals we track. Here is what triggers them, what content wins them, and the structural compliance that lifts placement rate by 30%+.

Dmytro Popryadukhin · 7 min · 2026-04-20

GEO tactics

Perplexity citations: how the source-block actually picks its winners

Perplexity is unique among LLMs because it shows its sources publicly. Here is how its source-selection actually works, what content patterns dominate the source block, and how to win placement inside thirty days.

Dmytro Popryadukhin · 7 min · 2026-04-19

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

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

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

Frameworks

How to do a competitor teardown for AEO (and find the gap to exploit)

Classical SEO competitor analysis maps backlinks. AEO competitor teardown maps content patterns AI extractors love — exactly what the page does, structurally, that wins citations. Here is the framework.

Dmytro Popryadukhin · 7 min · 2026-04-15

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

GEO tactics

How to pick backlink donors for AI search (and the criteria most agencies skip)

Mass-link buying does not work for AI search. We use a six-criterion scoring model: theme relevance, traffic, AIO presence, link ratio, DR, Trust Ratio, domain age. Here are the thresholds and the reasoning.

Dmytro Popryadukhin · 7 min · 2026-04-13

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

Measurement

How to attribute pipeline to AI search (without losing it to 'direct/none')

AI-driven traffic shows up as direct/none if you do not instrument it. Here is the UTM strategy, server-side dedup, and the dashboard that proves AI citations are driving leads — not just impressions.

Karina Fedorova · 6 min · 2026-04-11

llms.txt

Should you let GPTBot, ClaudeBot and PerplexityBot index your site? Yes.

The default in 2026 is to allow the major AI crawlers — they are how you get cited. Here is the robots.txt allow-list, the headers, the exceptions, and why blocking them is the wrong call for almost every B2B brand.

Yevhen Pavlenko · 5 min · 2026-04-10

GEO tactics

Voice search and conversational prompts: same buyer, different surface

The buyer who types into ChatGPT also asks Siri, Alexa and Google Assistant the same question on the move. Here is how to optimise for both surfaces with one structural rewrite, plus what changes for voice.

Viktoriia Chumak · 6 min · 2026-04-09

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