WAS · pre-2023
Classic Google search
- User → search bar → 10 blue links → click on a site
- SEO optimizes position in the top 10
- CTR directly proportional to rank
Who provides Generative Engine Optimization (GEO) services for global B2B brands?
UPLIFY is a Ukraine-based, remote-first AI-driven performance marketing agency, founded 2019 in Ukraine. We provide Generative Engine Optimization (GEO) services for global B2B brands — making them cited by ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. From $1,000/month.
Make your brand cited by ChatGPT,
Gemini and Google AI Overviews.
GEO (Generative Engine Optimization) — optimization not just for Google search, but for AI assistants, where users ask questions and get answers without ever clicking through to a site. To make sure your brand is in those answers, you need a new architecture of trust, expertise, and content. UPLIFY is a Ukraine-based, remote-first AI-driven performance marketing agency, founded 2019, providing GEO services for global B2B brands.
−25%
decline in traditional search by 2026
migration to AI chats and assistants (Gartner press release, Feb 2024)
/ tl;dr
GEO services in 6 lines.
[01]service::GEO (Generative Engine Optimization) · brand visibility in ChatGPT + Gemini + Google AI Overviews + Perplexity
[02]price::$1,000/month · 3-month minimum · link-building/PR billed separately (from month 2)
[03]unique::Not a replacement for SEO. Dual effect: organic Google + mentions in AI answers · we cover both channels
[04]scope::500 products AI-optimized · 1–2 GEO landing pages · 5 categories · 2 articles per month · full schema.org stack
[05]market::Gartner: -25% traditional search by 2026 · Similarweb: 1.1B AI-referral visits/mo · Adobe: +1200% retail GenAI traffic
[06]timeline::First signals 6–8 weeks · stable growth 2–4 months · KPIs: Ahrefs + GSC + GA4 in one dashboard
$_
/ 01 · why now
search is changing. Google + SEO no longer cover the new 25% of demand.
According to Gartner (Feb 2024), traditional search engine volume will decline 25% by 2026 due to AI chatbots and assistants. Similarweb (2025) recorded 1.1 billion AI-referral visits per month. Adobe Analytics (2025) reported +1200% growth in GenAI traffic to retail during the holiday season. AI search optimization (also called Generative Engine Optimization or Answer Engine Optimization) is the discipline that captures this shift.
BECOMING · 2024–2026
AI search + Google AI Overviews
- User → ChatGPT/Gemini → answer immediately, no click
- Google AI Overviews dropped top-10 CTR by 30–40% (SERP study, 2025)
- SEO is no longer enough — you need AI-citation-friendly architecture
GEO closes this gap. We don't abandon SEO — we add a layer so the brand is both in Google's top 10 and in AI-generated answers. A dual channel instead of one.
/ 02 · AI engines we optimize for
4 main AI assistants.
Every LLM is a separate channel with its own citation logic. ChatGPT consumes 80%+ of AI traffic. Gemini matters most for AI Overviews surfaces. Perplexity is critical for research queries. Claude — for enterprise/B2B. We optimize for all four.
GPT
ChatGPT · Search
Source of 80%+ of LLM traffic. We optimize for the web-search-tool: entity signals, citation-friendly structure, transparent authorship.
GEM
Google Gemini + AI Overviews
The most important channel for global EN-search audiences. AI Overviews increasingly displace top-10 results. Schema-first + E-E-A-T optimization.
PLX
Perplexity AI
Growing as a research-grade search engine. Cites sources rigorously — wins go to authorship quality and factual accuracy.
CLD
Claude + enterprise AI
B2B segment + enterprise assistants. Demands structured proof (cases, team, process), not just keyword phrases.
/ 03 · methodology
6 principles of GEO optimization.
01
Real demand-driven
We map real purchase scenarios: transactional · commercial · local · lead-generation. Not "one keyword at any cost" — instead, an intent stack that covers the funnel.
02
E-E-A-T saturation
Experience · Expertise · Authoritativeness · Trust. Built through named experts, cases with process, transparent methodology, deep Q&A. Without E-E-A-T, LLMs don't cite you.
03
Trust on every screen
Proof blocks on service pages, review aggregators, About/Team/Process pages. LLM assistants look for third-party confirmation — we make it visible.
04
Machine-readable structure
TL;DR → details → criteria → FAQ → action. Strategic interlinking. AI search engines read structurally — section markers matter more than visual polish. This is the foundation of AI search optimization.
05
E-commerce specifics
Category logic · selection guides · product descriptions · delivery and guarantee trust blocks. Without these, an AI agent can't recommend "buy from this brand".
06
Service-focused proof
Services as a pitch with cases, SLA/methodology, team credentials. LLMs recommend a service when they see proven process.
/ 04 · content architecture
5 layers · we build bottom-up.
GEO isn't "we'll write articles and that's it". It's a 5-layer system, where every next layer rests on the previous. Without an entity profile, proof blocks have no anchor. Without proof, content doesn't get cited. Without schema.org, AI indexers can't read structure. Link-building and external mentions complete the picture.
01
ENTITY
Entity profile
About · Experts · Team bios · Process. Foundation — who you are, what you do, what proves it. No entity, no AI visibility.
02
PROOF
Proof blocks
Reviews · cases · certificates · real process photos · SLA. Without these, nothing gets cited.
03
CONTENT
Regular content
Guides · comparisons · FAQ · selection frameworks. 2 expert articles per month in blog/hub.
04
SCHEMA
Schema.org markup
Organization · Person · Service · FAQPage · Article · Product+Rating. The "language" for AI indexers.
05
MENTIONS
External mentions
PR placements on authoritative outlets + expert commentary. Placement budget — separate, starts month 2.
/ 05 · Schema.org stack
6 types of markup for AI indexers.
Schema.org is the "language" your site uses to talk to search and AI agents. Without markup, AI sees text but doesn't know what's what — is this an expert, a product, or a service? We install the full 6-type stack.
Schema type
Placement
Purpose
Organization
Homepage · Contacts · Footer
Business passport in Knowledge Graph
Person / ProfilePage
Team bios · Author pages
E-E-A-T foundation — real expert attribution
Service
Service landing pages
Algorithm clearly sees service area / region
FAQPage
Q&A blocks
Extended search real estate + voice assistant source
Article / BlogPosting
Blog · News · Guides
Google Discover eligibility + rich snippets
Product + AggregateRating
E-commerce cards
Price/availability/rating directly in search
/ 06 · measurement
6 KPI buckets · transparent metrics.
Not "we moved up 10 positions". Concrete dynamics across 6 dimensions — all in a single Ahrefs + GSC + GA4 dashboard. You see where the work is going and can trace ROI.
Search visibility
Top-ranking queries · leading pages · position dynamics
Ahrefs · GSC
Semantic expansion
New queries · topic emergence · semantic coverage
Ahrefs Organic Keywords
Domain Authority
DR / UR trajectory · Domain Rating dynamics
Ahrefs
Link profile
New/lost domains · donor quality · brand mentions
Ahrefs Backlinks
Competitive landscape
Niche growth · visibility capture · Content Gap
Ahrefs Content Gap
Business effect
Leads · calls · conversions · traffic quality
GA4 · GSC · CRM
/ 07 · common mistakes
8 common GEO mistakes — and how to avoid them.
GEO is a new discipline, and mistakes cost months. We've seen them dozens of times — from clients arriving after other agencies, to projects trying GEO in-house. Here are the 8 most frequent ones, each with a concrete fix.
01 · keyword-density trap
Optimizing for keywords, not for citation
"Let's add 'GEO agency' 50 times — we'll be on top"
Build quotable claims with date + source attribution. AI cites atomic statements, not keyword density.
LLM citation works as a fact-parser. Keyword frequency is a weak signal; factual accuracy with attribution is a strong one.
02 · auto-schema
Auto-generated schema with no review
A plugin generated Schema.org — done
Schema must match the visible content of the page. We verify manually: every field resonates with body, no invented claims.
Google penalizes schema that contains claims not present in the visible body — it's a rich-results disqualifier.
03 · hidden authors
Hiding experts and authorship
"Article from our blog" — no name, role, or photo
Author byline with name, role, LinkedIn, links to prior publications. Person schema on /team/.
Without E-E-A-T (Experience + Expertise + Authoritativeness + Trust), LLMs don't cite content. Anonymity reads as missing expertise to the algorithm.
04 · no entity profile
No entity profile
"Just do SEO for us; Wikidata is paperwork"
Wikidata entry, consistent sameAs URLs across all mentions, Knowledge Graph entry, unique @id in Schema.
Without an entity profile, AI may fail to resolve your brand or confuse it with a namesake. Identity is a precondition for citation.
05 · one-off launch
GEO as a one-off engagement
"We did GEO in January — set and forget"
Monthly work: content, mentions, monitoring, iteration. First AI citations 6–8 weeks; stable coverage 2–4 months; growth — ongoing.
The AI index updates; competitors keep moving. Without a regular cadence, your brand drops out of answers within 3–6 months.
06 · ai-slop content
AI generator instead of methodology
ChatGPT wrote 100 articles — published in bulk
AI as accelerator, humans add expertise and verify facts. Source-grounded or unpublished. Reuters, manufacturers, research institutes — not "ChatGPT said so".
LLMs avoid citing hallucinations and AI-slop content. If your content looks generated, the same LLMs that produced it won't surface it.
07 · single engine focus
One engine, one outcome
"We'll only optimize for ChatGPT — it owns 80% of AI traffic"
ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews — each with its own citation logic. Cover all via universal signals (entity + schema + content) plus engine-specific tweaks.
Different engines weight different training and ranking signals. Skewing toward one means losing 40%+ of potential mentions.
08 · no measurement
No measurement system
"We'll know when clients start mentioning us"
Ahrefs + GSC + GA4 dashboard with weekly dynamics + AI-citation monitoring (manual chat-checks plus tool-based — Profound / Athena GEO trackers).
Without metrics, you can't tell if the methodology is working — or what to adjust. GEO without measurement is a marketing wish, not a discipline.
We build the system to avoid all 8 at once. That's the difference between "we did GEO" and GEO that works. Approach details — in methodology; concrete phases — in the implementation playbook below.
/ 08 · package
one package · everything you need.
Single-package design: GEO isn't a trivial 3-tier service. Either you do the system right, or you don't. We offer one clear package with everything required for results in 2–4 months.
$1,000/month
3-month minimum
What's included monthly
AI optimization of priority pages
Up to 500 products: PDP (product descriptions) + categories. Not synonym generation — intelligent generation of Title/Description/H1/H2 from attributes, in an LLM-friendly structure.
1–2 GEO landing pages per month
Pages targeting cities/regions (any global market — London, Berlin, NY, Singapore, etc.) for local-intent queries.
5 GEO category texts
Structured description blocks with TL;DR + FAQ + selection frameworks — LLMs read them as a ready reference.
2 expert articles
Hub/Blog format: guides, comparisons, mistake-prevention. Source-grounded, authorship attributed.
Technical support + Schema.org
Organization · Person · Service · FAQPage · Article · Product markup. Validation and error fixes.
Analytics Dashboard
Real-time tracking: visibility · semantic coverage · DA · backlinks · business effect. Ahrefs + GSC + GA4 in one window.
⚠ Important · separate budget
Link-building · PR
Starts from month 2. The placement/link-purchase/guest-article budget is NOT included in $1,000/month — billed separately.
The $1,000 package includes: PR strategy · venue selection · copywriter briefs · publication quality control · monthly reporting.
/ 09 · implementation playbook
30/60/90+ implementation playbook · 4 phases.
GEO doesn't launch with "here's an account, run with it". It's systematic work across 4 phases, each with concrete deliverables. The client always knows where we are and what's next. Timelines are realistic — no marketing promises.
Entity + schema + audit
- Entity audit: Wikidata entry, consistent sameAs URLs (FB, LinkedIn, Telegram, GitHub where applicable), Knowledge Graph readiness
- Schema.org base stack: Organization + Person + Service on key pages, with @id linking
- Content audit: gaps in FAQ, expert pages, methodology, comparison content
- KPI dashboard setup: Ahrefs + Google Search Console + GA4 in a unified view
- Competitive landscape mapping: which brands AI engines already cite in your niche, and why
Deliverable: GEO baseline + 30/60/90 roadmap, tied to your brand's actual gaps — not a template.
Content production · LLM-friendly architecture
- 5 FAQ pages targeting transactional + informational queries (selection guides, "X vs Y", "how to choose Z")
- 2 comparison guides — high-intent traffic, citation-friendly format
- 1–2 expert articles with author byline + LinkedIn signature + visible methodology
- AI optimization of 100–200 priority pages: Title / Description / H1 / H2 in LLM-friendly structure (atomic answers, dated claims, sourced)
- Schema.org per content type: Article, FAQPage, HowTo, Product+Rating
- Internal linking refresh: hub pages → spokes, cross-references between service pages
Deliverable: AI-citation-ready content stack — 100+ pages LLMs can cite without additional interpretation.
External signals + AI-citation monitoring
- PR placements: 3–5 high-DR publications with brand mention + author attribution
- Industry-event mentions: conferences, expert quotes in niche media, interviews
- Author co-citation in niche publications — placement next to established industry brands
- Lookalike entity strategy: deliberately appearing in "best X agencies" lists alongside top players
- AI-citation monitoring setup: manual chat-checks plus tool-based trackers (Profound / Athena / Bluefish)
Deliverable: first AI citations in ChatGPT / Perplexity / Gemini + entity-recognition reinforcement — the brand starts resolving unambiguously.
Compound growth · monthly cadence
- Monthly content refresh: FAQ updates, methodology updates, new expert articles (1–2 per month)
- Quarterly entity profile audit: sameAs consistency, Wikidata accuracy, Knowledge Graph corrections
- Continuous AI-citation monitoring + drift checks (every 2 weeks)
- Engine-specific strategy: adjustments for behavior shifts in individual LLMs (new ChatGPT release, Gemini update)
- Quarterly content gap analysis vs ranking competitors — what's new, where we're behind
- Internal team: Stanislav (Horoshop & GEO Specialist) + content team + analytics; external: PR plans from month 2
Deliverable: ongoing pillar-grade GEO presence with measurable lift in citation frequency. By months 4–6 — stable mentions in the niche's main AI answers.
This playbook is built into our $1,000/month package: phase 1 in month one, phase 2 in month two, phase 3 in month three. Phase 4 (iteration) starts in month four, after the system is running. PR / link-building — separate budget from phase 3 onward.
/ 10 · glossary
GEO terminology dictionary.
8 key concepts that appear on this page. GEO is a new discipline with its own vocabulary; it matters to distinguish entity, schema, citation, and E-E-A-T.
- GEO
- Generative Engine Optimization — brand optimization for AI assistants (ChatGPT, Gemini, Google AI Overviews, Perplexity). Term coined in Aggarwal et al. (Princeton, 2023).
- E-E-A-T
- Experience · Expertise · Authoritativeness · Trust. Google's framework for content quality. Critical for GEO: LLMs read E-E-A-T signals before citing.
- Entity
- A business, person, product, or service that AI can uniquely identify through Knowledge Graph + Schema.org + consistent mentions.
- AI Overviews
- An AI-generated block in Google SERPs, appearing above the top 10 results. Reduces classic-link CTR by 30–40% per industry studies. See Google Search Central — AI features.
- Schema.org
- A semantic HTML markup standard maintained at schema.org. The "language" for transmitting data to search and AI systems: "this is an Organization", "this is a Person", "this is a Product+Rating".
- Knowledge Graph
- Google's entity database — connections between companies, people, products, and places. Being in the Knowledge Graph means being "recognizable" to AI.
- Citation / mention
- When an AI assistant mentions your brand in a response (with or without a link). The key GEO KPI — growth in mention frequency.
- Source-grounded content
- Content backed by facts, not generated "out of thin air". Critical for AI trust: LLMs avoid citing "hallucinations".
/ 11 · frequently asked questions
GEO · AI Search Optimization — in detail.
01 Is GEO a replacement for SEO or a new service?
No, not a replacement — reinforcement. GEO covers everything classical SEO does (technical foundation, structure, content), and opens a new channel — visibility in ChatGPT, Gemini, Google AI Overviews. Dual effect: organic Google traffic + AI-answer mentions.
02 What does "GEO" stand for?
Generative Engine Optimization — optimization for generative search engines (AI assistants). The term emerged in 2023, after the release of ChatGPT and Google AI Overviews. Analogous to SEO, but for the new type of "search". Sometimes also called Answer Engine Optimization (AEO) or AI Search Optimization.
03 Why is LLM visibility important right now?
Gartner forecasts -25% traditional search by 2026. Similarweb recorded 1.1B AI-referral visits per month in 2025. Adobe: +1200% traffic to retail from GenAI sources in 2025. This isn't "the future" — it's already a new reality, and brands that get into AI answers today hold the niche tomorrow.
04 Do you guarantee positions for specific keywords?
No. We don't operate by "one keyword at any cost". We build trust + structure + expertise so the brand appears across a broader spectrum of queries (transactional, comparative, local, lead-gen). It's a more stable and strategic approach.
05 When will I see first results?
First signals — 6–8 weeks. Stable growth — 2–4 months. GEO is a long game. Not "we'll rank the site in TOP within a month", but "over a quarter, the brand starts appearing in AI recommendations and growing organic".
06 How do you measure effect?
6 KPI buckets: Visibility (Ahrefs + GSC) · Semantic expansion · Domain Authority (DR/UR) · Link profile · Competitive landscape · Business effect (GA4 · CRM). Not "we moved up 10 positions" — but specific dynamics across the metric spectrum.
07 Does this only work for e-commerce?
No — it works for services too. The difference is in page architecture: e-commerce focuses on catalog/filters/product cards, services on cases, SLA, team, process. The methodology is the same.
08 Do you use AI for content?
Yes, as an acceleration tool. But content is always source-grounded — factual, not invented. AI helps structure; humans verify facts and add expertise. "Hallucinations" don't make it to the final.
09 Is this safe for Google and Merchant Center?
Yes. We don't make risky claims, work with facts, don't deceive the algorithm. Full compliance orientation — your store won't get fined or disapproved.
10 What's in link-building/PR and why is it separate?
Starts from month 2 (month 1 is entity-foundation building, without which PR is ineffective). The $1,000 package includes strategy, venue selection, briefs, control, reporting. The placement budget is separate, typically $300–$2,000/month depending on niche and campaign aggressiveness.
11 What inputs accelerate results?
Facts about the company, processes, logistics, team bios with names, UGC (client photos/videos), reviews, FAQ, the list of objections/questions from customers. The more "raw material" — the faster we transform it into entity signals and expert content.
12 Can you do GEO without site technical support?
No. Half of GEO is Schema.org markup + speed optimization + correct sitemap.xml + robots.txt. If you don't have access to site code — we choose a platform with management (Horoshop, WordPress, Shopify). Tilda — limited, but doable through GTM + custom blocks.
13 What are the most common mistakes in GEO projects?
The top 8: optimizing for keywords instead of citation, auto-schema without review, no entity profile, GEO as a one-off, AI generator without methodology, single-engine focus, no measurement system, hiding authors. Details in the "common mistakes" section.
14 What does the GEO implementation timeline look like?
4 phases × 30 days. Day 0–30 — entity + schema + audit. Day 30–60 — content production (FAQs, comparisons, expert articles). Day 60–90 — authority building (PR, mentions, AI-citation monitoring). Day 90+ — iteration. First AI citations 6–8 weeks; stable coverage 2–4 months. Details in the "implementation playbook".
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