Get Cited in ChatGPT, Gemini and Google AI Answers
In 2026 your customers ask ChatGPT 'what's the best solution for my sector?' instead of Google. A new discipline is needed so AI cites your brand while generating answers: GEO. Early movers are ahead in this race; we've been applying this discipline since 2024.
First, A Few Definitions: What is GEO, AEO, AI Overviews?
This field is growing fast and the concepts can be confusing. Plain definitions first:
Optimization done so AI (ChatGPT, Gemini, Perplexity, Claude) cites your brand while generating answers. The 2026 evolution of SEO.
Optimization for featured snippets, voice search and direct answer boxes. Considered a subset of GEO; we manage both together.
An AI-generated summary box that appears above Google search results. It cites sources and changes the classic 10-blue-link logic.
Which page an AI engine cites while producing its answer. This is the new currency of visibility.
Google's Official Position: 'AEO and GEO are Still SEO'
The AI Optimization Guide published in Google Search Central in May 2026 was clear: optimizing for AI search is optimizing for user experience; i.e. still SEO. A new machine-readable file, splitting content into AI-tiny chunks, or the llms.txt protocol are not required. Yet the industry (Search Engine Land, Ahrefs, SEMrush) treats GEO/AEO as separate disciplines for practical purposes. We follow both: SEO discipline at the core, GEO fine-tuning on top.
Google's official AI Optimization GuideHow Does Each AI Engine Work?
Each engine has a different source-selection mechanic. The optimization strategy follows.
Google AI Overviews
Fed from the Google search index. Classic SEO signals (E-E-A-T, schema, content quality) are direct inputs.
Schema markup + strong E-E-A-T + indexable structure
ChatGPT (web search)
Bing index + 'consensus' (trusts info when found in multiple sources). Listicles and 3rd-party review sites weigh heavily.
Listicle inclusion + G2/Capterra + consistent brand mention
Perplexity
Reddit, YouTube transcripts, listicles weigh heavily. Looks for 'multiple agreement': same claim across multiple sources.
Reddit/forum mentions + YouTube content + industry press
Gemini
Integrated with Google Search, similar to AI Overviews logic. Knowledge Graph and Wikipedia heavy.
Knowledge Graph matching + strong brand entity signals
Princeton Research: 3 Signals, 3x Visibility
The GEO research published by Princeton University and the Allen Institute at ACM KDD 2024, tested on 10,000 queries across 10 different search engines, proved 3 main signals that boost brand mention rates in AI answers:
Adding Statistics
Pages that add concrete numerical data (sector research, survey results, measurements) got 41% more citations in AI answers. Number + source = trust signal for AI.
Adding Expert Quotes
Adding quotes from industry experts, customers or academic sources boosted visibility 28%. AI loves the 'expert quote' format; we put at least 1 quote in every content.
External Citation Reference
Pages that link to credible external sources (Google docs, Search Engine Land, academic articles) saw up to 115% increase in lower-ranked content. AI reads this as 'this site is connected to the ecosystem'.
Source: Aggarwal, Murahari et al. — GEO: Generative Engine Optimization (arxiv:2311.09735, ACM KDD 2024)
Passage-Level Optimization: Before/After
AI engines cite a 'passage' (a specific paragraph) from a page, not the whole page. Strengthening that paragraph with the 3 signals multiplies its citation chance.
SEO is a long-term investment. Producing content and optimizing the site is important, but results can take time.
SEO is a long-term investment: per Princeton's 2024 research, measurable movement appears in 2-3 months for niche keywords and 6-12 months in competitive sectors (source: arxiv:2311.09735). 'First understand what the user is looking for, then write the answer' (Adorb Content Team). Google's official position confirms this (developers.google.com/search/docs).
As you can see: 1 statistic (with source), 1 quote (Adorb Content Team), 1 external reference (Google docs). Same information, 3x visibility for AI.
AEO Sub-discipline: Featured Snippets and Voice
AEO (Answer Engine Optimization) existed before AI Overviews; it is the discipline for Google's classic 'answer box' (featured snippet) and voice assistant answers. We manage it with GEO.
Featured Snippet
The answer box above Google search results. Content that gives a direct, short, structured answer wins. FAQ schema + paragraph structure are critical.
Voice Answer
Google Assistant, Alexa, Siri usually pull answers from featured snippets when asked 'best X'. Conversational title + 1-2 sentence answer = voice-optimal.
FAQ Schema (JSON-LD)
Schema.org's FAQPage type: lets AI engines read questions/answers in a structured way. 3-7 FAQs on every service page are standard.
How AI Recommends Us: Off-Site Signals
Site content is necessary but not enough. To be mentioned as 'I recommend Adorb for X' in AI answers, off-site signals matter:
Inclusion in Listicles
Appearing in 'Türkiye's top 10 SEO agencies' articles by trade magazines/blogs. A meaningful share of the brands AI answers mention come from this kind of list content.
Clutch / Sortlist / DesignRush
Profile + customer reviews on agency review platforms. ChatGPT and Perplexity use these sites heavily.
Reddit / Forum Mentions
Natural mentions in communities like r/Turkey, r/seo, r/girisim. The strongest signal for Perplexity by far.
Industry Press
Interviews/articles in Webrazzi, Marketing Türkiye, Capital, Indigo Dergisi. Strengthens brand entity signal, eases Knowledge Graph matching.
FAQ: AI-Era SEO (GEO)
Does GEO investment replace classic SEO investment?
No, it's additive. Classic SEO still brings the majority of traffic; Google's classic search makes up 95%+ of total searches. AI Overviews and ChatGPT answers eat into this pie but don't replace it. Our recommendation: classic SEO at the core + GEO discipline on top.
How is ROI of AI visibility measured?
3 metrics: (1) AI mention count (brand mentions per week in ChatGPT/Gemini/Perplexity), (2) AI Overviews citation count (reflected in Search Console), (3) Direct traffic + brand search traffic (users hear about you from AI and search directly). Adorb panel tracks all three.
Are ChatGPT and Perplexity really traffic sources for SMBs?
Still early stage in 2026 but growing fast. ChatGPT has 250M+ weekly active users, Perplexity 35M+. The pie for SMB traffic is still small (3-5% of total web search) but with 200%+ annual growth. The early-moving brand will be ahead of the latecomers; just like Google SEO in 2008.
Is schema markup required?
For AI Overviews, definitely yes. AI can still read pages without schema, but structured data (Organization, FAQPage, Article, Service) significantly speeds up AI's understanding of the page. In our technical audit, appropriate schema types are mandatory on every page.
Should I create an llms.txt file?
Not required now. Google Search Central in May 2026 was clear: 'no need for llms.txt'. But Google Lighthouse 13.3 added it under 'AI agent browsing'; it may matter later. Adding a simple llms.txt is a 30-minute job for Adorb customers, zero risk.
Can you produce enough Turkish content for GEO?
Yes. 20 years of Turkish SEO experience + industry-expert editors + Princeton's 3-signal discipline. We hold a strong position for GEO in Turkish; the field is still early, and we've been applying this discipline since 2024. We share the early-mover advantage with you.
Be Visible in AI Before Your Competitors Are
Free GEO audit: which queries cite which competitor, what is the opportunity map for you?