AEO optimization that helps your brand appear in Gemini and AI Overviews
In 2026, traditional SEO alone is no longer enough: a website may still hold strong rankings
while losing clicks if the user gets the answer before even visiting the page.
AEO helps make sure that Google AI, Gemini, and other AI systems see your brand
as a source of answers, not just another link in search results.
The logic here is different: we work not only with rankings, but with brand visibility in AI answers,
answer-first content structure, E-E-A-T signals, Knowledge Base,
structured data, and external authority.
What I work on within an AEO engagement
AEO is not a separate “magic setting”, but a combination of several blocks that help
algorithms better understand your business, your content, and why your brand should be cited in AI answers.
AI Visibility Audit
A review of how AI systems currently see your brand: whether Gemini mentions you,
in which query types you already appear, where competitors outperform you, and which answer formats you need to capture.
Knowledge Base + Schema
Unifying all brand, service, pricing, geo, FAQ, and key page formulations.
Then building a clear data structure through JSON-LD so AI systems do not confuse you with competitors.
Answer-First + E-E-A-T
Rebuilding pages so the answer appears immediately: strong intro blocks,
Q&A, facts, numbers, case studies, internal linking, and trust signals that improve the chances of being cited.
What AEO changes in 2026
Before, winning a position in Google was enough. Now it may not be:
users see an AI-generated answer before the list of websites, which means the winner is not only the site that ranks,
but the one Google AI chooses as the source.
- AI Overviews take away part of the clicks even from strong websites
- Top 3 rankings in Google no longer guarantee the same traffic volume as before
- Brands without AI visibility gradually lose mentions and recognition
- Competitors can capture the answer even if your website is technically stronger
How SEO and AEO differ
Why I prioritize Google Gemini and AI Overviews in AEO
In your AEO framework, the focus is correctly shifted toward Gemini: because of its integration into Google Search,
the Android ecosystem, and other services, this direction will have the biggest near-term impact
on the commercial visibility of brands in Ukraine.
| Query / platform | Estimated popularity | Why it matters |
|---|---|---|
| Google Gemini | 673,000 / month | If a brand does not appear in Google AI answers, it loses part of its visibility before the click even happens |
| ChatGPT | 673,000 / month | An important channel for direct recommendations and brand mentions, but it does not replace the impact of Google |
| AI / artificial intelligence | 110,000 + 60,500 / month | Shows that users are rapidly moving toward conversational search and expect ready-made answers |
| Claude / AI | 60,500 + 22,200 / month | An additional layer of AI demand that can also be captured through the right AEO architecture |
Google dominance
Optimizing for Gemini is effectively optimizing for the main search entry point in most industries.
AI Overviews
Brand visibility shifts from “a link in the list” to “a citation in the top AI block”.
Ecosystem effect
Gemini is connected to Search, Android, Gmail, and Maps, so its influence is broader than a standalone chat interface.
What the AEO process looks like step by step
I took the logic from your proposal and turned it into a client-friendly model:
foundation, page restructuring, authority building, and then monitoring and scaling.
Foundation
Visibility audit, Knowledge Base, Schema, AI bot access checks, and conversational intent analysis.
Content restructuring
Answer-First structure, strong intros, Q&A blocks, facts, numbers, internal linking, and factual review.
Authority and trust
Digital PR, authority links, natural brand mentions, and work with platforms that strengthen trust in the brand.
Monitoring and scaling
Repeated query testing, Gemini mention tracking, page adjustments, and AEO expansion into new clusters.
Work areas that build AEO visibility
| Area | What we do | Why it matters for the business |
|---|---|---|
| AI Visibility Audit | Test query list, scenario design, manual checks, answer capture, and competitor mapping | Shows how Gemini and other AI systems currently see the brand |
| Knowledge Base | Collecting data about services, pricing, USPs, geo, removing inconsistencies, and unifying formulations | Algorithms get a single source of truth about the company and make fewer interpretation mistakes |
| Schema / technical foundation | Markup audit, schema type selection, JSON-LD generation, robots.txt checks, and bot access validation | Improves the structured clarity of the site for AI crawlers and Google |
| Answer-First content | Rewriting intros, Q&A blocks, facts, case studies, numbers, and factual validation | Makes pages more suitable for extraction into AI answer blocks |
| E-E-A-T and trust | Strengthening authorship, factual signals, case studies, trust blocks, and external authority | Makes the brand look like a more reliable source for both AI systems and users |
| Monitoring | Repeated mention checks, reporting, page adjustments, and model scaling | Allows you not just to “set it once”, but to systematically maintain visibility in AI answers |
Results of AEO work
- brand visibility in Gemini and AI Overviews for priority scenarios
- a new content logic that AI systems can pick up more easily
- a unified company data layer without contradictions across pages
- stronger trust signals needed by both people and algorithms
- protection against part of the losses in classic SEO traffic
- a foundation for future work with ChatGPT, Perplexity, and other AI sources
Project types
Expert services
Healthcare, B2B, consulting, legal, and service businesses where trust in the source is critical.
Local business
Projects that need mentions in AI answers for queries like “where is best”, “who to choose”, or “who provides”.
E-commerce and category pages
Category pages, guides, collections, and comparison pages that can be rebuilt around answer-first logic.
Affiliate / media
Content hubs, reviews, rankings, and pages that compete not only in SEO, but also in LLM extraction.
AEO service pricing
Below are the working model benchmarks. For a public page, this is enough for the client to understand the budget range,
while the detailed breakdown by hours, pages, and materials can be outlined in a separate proposal.
Baseline benchmark for AEO work: audits, Knowledge Base, schema, page restructuring, monitoring, and support.
The first month is more intensive: visibility audit, brand data preparation, technical foundation, and conversational intent mapping.
After that, the work moves into an ongoing model of page restructuring, mention monitoring, trust-building activities, and scaling.
| Format | How it is calculated | Page benchmark |
|---|---|---|
| AEO work | Hourly model | UAH 1,000 / hour |
| Initial phase | Audit + Knowledge Base + Schema + AI bot access + intents | approximately from UAH 30,000 for work |
| Monthly support | Answer-First, Q&A, facts, monitoring, authority signals | approximately from UAH 21,000 to 27,000 for work |
| AEO copywriting | Separate from support | from UAH 120 per 1,000 characters |
| Authority links / Digital PR | Separate placement budget | from UAH 2,000 per placement |
| Community / crowd | Based on mentions or placements | from UAH 300 per unit |
The AEO support fee usually does not include separate budgets for copywriting, Digital PR,
authority link acquisition, crowd / community management, or technical implementation on the developer’s side.
Need to understand whether your website is ready for AEO?
Send a short note about your niche and goal, and I will suggest what is likely to deliver the strongest effect now:
a visibility audit, AI-focused page restructuring, or a full AEO strategy for Gemini and AI Overviews.