In short: classic SEO remains the foundation, but more and more users get a ready-made answer from AI (ChatGPT, Gemini, Perplexity and others). If your brand is not in that answer, there is no contact with the audience. GEO optimizes your digital footprint so that your brand appears in AI answers and gets cited as a source.
For step-by-step instructions with examples and a checklist, see the article “How to get into AI answers: GEO step by step”.
GEO vs. SEO: key differences
| Parameter | SEO | GEO |
|---|---|---|
| Goal | Rankings and clicks from the SERP | Mention/citation in the AI answer |
| Object of work | Mostly the website | Website + external platforms (media, directories, rankings, communities) |
| Queries | Short keywords | Long, conversational, intent-driven queries |
| Content | Articles/landing pages | “Chunks”: FAQ, how-to, tables, comparisons, datasets |
| Signals | Technical health, relevance, links | E-E-A-T, structure, citability, reputation |
| KPI | Traffic, rankings, conversions | AI Visibility, Source Citations, Share of Voice |
How AI picks its sources (simplified)
- Rephrases the query (semantic understanding).
- Searches for documents across relevant sources.
- Extracts facts from structured content.
- Assembles the answer and often attaches sources.
Takeaway: content must be easy to extract (headings, lists, tables, FAQ) and easy to verify (links, data, authorship).
GEO on your site: speaking to AI “in its own language”
Technical foundation
- Core Web Vitals, mobile responsiveness, clean HTML.
- Correct
sitemap.xmlandrobots.txt, a logical URL structure. - Schema.org structured data:
Organization,Person,Article,FAQPage,HowTo,Product/Service. - Public author/expert pages, contacts, legal details.
Content model: from “walls of text” to clear chunks
- One paragraph — one complete fact or answer.
- FAQ blocks built on real user phrasing.
- How-to/step-by-step guides with numbering and warnings.
- Comparison tables and checklists (ideal for summarization).
- Mini-studies, datasets, quotes with sources and a last-updated date.
- Video/podcasts — mandatory subtitles/transcripts and timestamps.
FAQ template (example)
Question: How does GEO differ from classic SEO?
Answer: SEO fights for clicks from the SERP; GEO fights for a brand mention inside the ready-made AI answer, where the list of links is absent or secondary.
How-to template (example)
- Identify your audience's intents and questions.
- Break the answer into steps with subheadings.
- Add a table of alternatives/selection criteria.
- Reference studies/data and state the last-updated date.
- Finish with a short verdict (“which option to choose and why”).
GEO off-site: distribution and reputation signals
Where to publish
- Corporate blog (the canonical version of your materials).
- Niche media/platforms: industry press, vc.ru, Habr, Dzen, Tenchat (popular Russian platforms); for international reach — Medium, LinkedIn Articles, Substack.
- Directories, rankings, industry communities and Q&A platforms.
How to amplify the effect
- Cross-posting and announcements (Telegram, VK, LinkedIn) + discussions in the comments.
- Crowd links and topical mentions (forums, directories, associations).
- Working with reviews and rating platforms (sentiment and frequency).
Step-by-step GEO rollout plan (3–6 months)
Stage 1. Foundation (weeks 1–4)
- Audit of brand visibility in ChatGPT/Gemini/Perplexity/Alice (Yandex's assistant) for target intents.
- Technical prep: performance, structured data, sitemaps, “About us / Experts / Contacts” pages.
- Core content pool: 1 ranking/comparison, 1 how-to, 1 case study (in chunk format).
Stage 2. Distribution (weeks 5–12)
- Publications on 3–5 external platforms + a minimal PR package.
- “Evergreen” article links and partner placements.
- Setting up AI citation monitoring.
Stage 3. Scaling (months 3–6)
- Regular GEO content releases (1–2 per month) with tables and FAQ.
- Participation in relevant rankings, collecting industry reviews.
- Iterations: double down on the formats/platforms that “trigger” the AI.
GEO control metrics
| Metric | What we measure | Why |
|---|---|---|
| AI Visibility Score | How often the brand is mentioned/cited in AI answers | Indicator of current presence |
| Source Citations | Number of links to you as a source | Direct measure of authority |
| Share of Voice (SOV) | Share of mentions vs competitors | Understanding your position in the niche |
| Zero-Click Presence Rate | Share of answers where you are present without a click | Strength of brand/content in the AI environment |
| Brand Mentions in LLMs | Context and sentiment of mentions | Quality of presence |
Content patterns that make it into AI answers more often
| Format | Why AI “likes” it | What to add |
|---|---|---|
| Rankings/roundups | Structure, comparisons, transparent criteria | Table, methodology, last-updated date |
| How-to | Step-by-step practical value | Numbering, FAQ, warnings |
| FAQ | Ready-made question-answer pairs | Links to sources, a brief conclusion |
| Case studies/research | Facts, figures, high chance of citation | Methodology and raw data |
| Comparison tables | Ideal for summarization and extraction | Criteria, scores, a “final verdict” |
Risks and how to hedge them
- Volatility of AI answers. Offset by regular content releases and monitoring.
- No unified standards. Adopt carefully (for example, llms.txt as a manifest) without creating a critical dependency.
- “Empty” publications for volume's sake. They undermine reputation and lower the chance of citation.
- Legal issues. AI policy, copyright, transparent terms of use for your materials.
Quick checklist to get started
- Audit brand visibility in the main AI engines for target intents.
- Technical foundation: CWV, mobile, sitemap, Schema.org (Organization/Person/Article/FAQ/HowTo).
- 3 pilot pieces (ranking, how-to, case study) in chunk format.
- 3–5 external platforms + cross-posting and joining discussions.
- Monitoring of AI citations, SOV, Zero-Click Presence.
- Iterations every 1–2 weeks on formats/platforms (the GEAR cycle: Generate → Engage → Analyze → Refine).
Why us
16 years in SEO. Now we are bringing that expertise into a new channel — GEO. To be honest: the service is new and case studies are few, but we learn fast and work in iterations. Our job is to give you visibility in AI answers where your competitors have not yet “gotten on track.”
Learn more about our GEO service
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