1.8–2.2×
Crypto / Fintech
YMYL content fails AI filters more often, named experts with regulatory bios cost more, lead value of $200–$2,000+ justifies the premium, MiCA / GENIUS Act / EBA shifts force quarterly content review.
AEO & GEO consultancy · Answerly by chyzh.agency
ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews now answer the queries your buyers used to type into search. We make sure your brand is what they cite — with five packages from a $890/mo audit to an $8,900/mo dedicated-team category-leadership programme.
Packages
Same playbook across all of them — five-layer AEO structure, schema engineering, named experts. What changes is scope, query universe and how much we own.
Find out where ChatGPT, Perplexity and Google AI think you are.
Read full spec →Stop measuring. Start ranking inside the answers.
Read full spec →Be the source AI cites first in your category.
Read full spec →Become the definitive source AI references first.
Read full spec →Pay for verified citations, not for hours.
Read full spec →Niche pricing
Crypto and fintech run hotter because YMYL content and named regulatory experts cost more. Local services run cooler because the radius is smaller. SaaS sits at base.
1.8–2.2×
YMYL content fails AI filters more often, named experts with regulatory bios cost more, lead value of $200–$2,000+ justifies the premium, MiCA / GENIUS Act / EBA shifts force quarterly content review.
1.0–1.3×
Standard B2B mid-market AEO/GEO economics, content less regulated, named experts already in the company (CTO, product leads), and topical authority compounds — one strong pillar page can be cited for months.
0.5–0.8×
Smaller query radius (one city, 5–15 queries), simpler schema (LocalBusiness, MedicalOrganization, Attorney), thinner AEO competition, lower client budgets. Premium local — luxury real estate, plastic surgery, top-tier corporate law — runs at 1.0×.
Method
We pick the target queries with you, freeze the AI-citation baseline across five platforms, and audit the technical AEO surface — schema, llms.txt, robots, page structure.
From week three: schema rolls out, priority pages restructure under the playbook, new FAQ pages ship monthly, named-expert bylines deploy.
Weekly snapshot of every target query across five (Starter, Growth, Performance) to nine (Enterprise) AI platforms. First placements typically land 14–60 days in.
We re-rank the query universe, adjust the production calendar, and report share-of-voice movement against the named competitors. No quarter is the same as the last.
Free 30-minute discovery call. We'll pull your real AI-search visibility live, name two or three quick wins, and tell you whether AEO/GEO is the right spend right now.