How do you get my brand cited in ChatGPT?

Two-layer work: (1) open your site to GPTBot to enter training data; (2) strengthen Bing SEO and E-E-A-T because ChatGPT's Browse mode uses Bing. We also increase your brand mentions in authoritative sources since LLMs measure trust via co-occurrence. Monthly ChatGPT prompt tests track progress.

What is llms.txt and is it required?

llms.txt is a draft standard emerging in late 2024/early 2025. A markdown summary file placed at your site's root - it helps AI crawlers and LLMs quickly understand your site structure. Not required yet but early adopters will have an advantage.

Do I still need classic SEO?

Absolutely yes. AI SEO doesn't replace classic SEO - it's added on top. AI Overview picks sources from classic organic results; ChatGPT Browse uses Bing; Perplexity does classic web crawling. Classic SEO is the foundation; AI SEO is the new layer built on top.

AI SEO (AEO/GEO) | AI Overview

// What Is AI SEO (AEO/GEO)?

AI SEO is the discipline of getting your brand cited as a source by AI search engines such as ChatGPT, Google AI Overview, Perplexity, Gemini and Bing Copilot. It combines AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). Zep Bilisim works on citable content structure, schema markup, llms.txt and brand signals together.

// Why SEO Changed in the AI Era

In 2025 Google AI Overview is triggered on a large share of desktop searches and over half of mobile searches. Users now get answers "without clicking" the site. At the same time ChatGPT (500M+ weekly users), Perplexity (100M+ monthly queries) and Gemini are taking share from traditional Google traffic. Classic SEO is no longer enough - your brand needs to be cited in AI answers.

Classic SEO worked in 3 layers: keyword → URL → click. In the AI era it's 5 layers: Question → AI parse → Source evaluation → Citation → (optional) Click. In this new world, being #1 on Google isn't enough - you have to be the page the AI picks as a source.

// What Are AEO and GEO?

AI SEO is the work of restructuring your website and brand content so AI-powered search engines cite it as a source. It's the union of two disciplines:

AEO (Answer Engine Optimization): Getting AI Q&A engines (Perplexity, AI Overview) to surface your content as the answer. Technical focus: FAQ schema, extractable answer paragraphs (40-60 words), HowTo schema, Featured Snippet optimization.
GEO (Generative Engine Optimization): Getting generative LLMs (ChatGPT, Claude, Gemini) to mention your brand in training data and runtime search results. Technical focus: entity signals (sameAs schema, Wikipedia/Wikidata presence), citation density, brand mention distribution, llms.txt.

This new layer doesn't replace our classic SEO work - it sits on top. AI Overview picks sources from organic results, ChatGPT Browse uses Bing, Perplexity uses classic crawling.

// Why Now? Data and Trends

An era where being late loses you ground.

CTR Drop

AI Overview Impact

On AI-Overview-triggered searches, click-through on the classic 10 blue links has dropped noticeably. Visibility now flows from being cited.

New Intent

Research Moved to AI

A meaningful share of ChatGPT users now learn about brands directly from AI - shifting research intent from Google to AI.

High Referral

Perplexity Traffic

A single Perplexity answer can drive more referral traffic than a 3rd-place organic result - source = automatic click.

Co-occurrence

Co-occurrence Signal

LLMs measure brand trust via co-occurrence - which authoritative sources mention your brand defines credibility.

2026 Forecast

AI Search Share

By 2026 AI search may reach 30% of total searches (Gartner estimate). Being late equals invisibility.

First-mover

Open Niche

Few sites are optimized for "AI SEO" - the first-mover advantage is clear.

// What We Do

10 areas of full coverage for the AI era.

01

Content Audit (AI Lens)

We compute an "extractability" score for your existing content from an AI perspective. Paragraph structure, Q&A logic and schema gaps are identified.

02

Q&A Structure

Q-A pairs added to each article: a natural question as H2 with a direct 40-60 word answer below. Written for passage optimization.

03

Schema Markup Enrichment

Article, FAQPage, HowTo, Product, Service, Organization, Person, BreadcrumbList, Review, AggregateRating - 10+ schema types integrated.

04

Entity SEO

Wikidata registration, Wikipedia where applicable, Google Knowledge Panel application, sameAs chain (social media, directories) to strengthen entity signals.

05

E-E-A-T Optimization

Author bio pages + Person schema, certificate images, client cases, original research/data content - authority signal building.

06

llms.txt File

Site summary file for AI crawlers (2025-2026 emerging standard). Adopted by Anthropic and Perplexity - early adoption advantage.

07

AI Bot Permission Management

Correct configuration of GPTBot, ClaudeBot, PerplexityBot and Google-Extended permissions in robots.txt - which content is open to AI?

08

Citation Building

Sector directories, authoritative blog mentions, podcasts and interviews, press - increase brand co-occurrence on independent sites.

09

AI Visibility Tracking

Monthly brand query tests on ChatGPT, Perplexity and Gemini (manual + Profound, Otterly.AI, AthenaHQ tools).

10

Monthly Reporting

AI Overview impression tracking (Search Console + manual), ChatGPT/Perplexity mention counts, citation source list, sentiment analysis.

// Which AI Platforms Do We Target?

Google AI Overview: Directly in Google results. AI Overview impression data arrived in Search Console for the TR market in early 2026.
ChatGPT: Browse mode (Bing-based) + Memory + training data (Common Crawl, GPTBot). Works alongside Local SEO (Google Maps) for local queries.
Perplexity: Real-time web search with the highest citation transparency - being in the source panel directly drives traffic.
Gemini: In the Google ecosystem, uses its own search tool. Knowledge Graph influence is high.
Bing Copilot: In the Microsoft ecosystem, shares infrastructure with ChatGPT - moves with Bing SEO.

// Measurement: AI Visibility Metrics

Classic SEO metrics (rankings, traffic) aren't enough in the AI era. We track these new metrics:

AI Citation Rate: Percentage of AI answers where your brand is cited (over the top 50 sector questions)
Share of Voice in AI: Your appearance rate vs competitors in AI answers
AI Overview Impression: Search Console (new segment)
Brand Mention Sentiment in LLM: Tone in which ChatGPT/Claude mentions your brand
Referral from AI platforms: Traffic from chat.openai.com, perplexity.ai in GA4

For tracking, our custom software team can build a dashboard - all AI visibility metrics in one panel.

// Who Is This For?

B2B tech companies - buyers ask AI early in the journey
Professional services (lawyers, doctors, consultants) - "best X" queries
E-commerce - product comparison queries flow to AI
Brand-building startups
YMYL content publishers (health, finance, law)
Local service providers - combine with Google Business Profile + AEO

// Frequently Asked Questions

AEO (Answer Engine Optimization) targets Q&A-style engines like Perplexity and Google AI Overview - technical focus: FAQ schema, extractable paragraphs, HowTo. GEO (Generative Engine Optimization) targets generative LLMs like ChatGPT, Claude and Gemini - technical focus: entity signals, citation density, brand mentions, sameAs chain. In practice they're done together.

Two-layer work: (1) open your site to GPTBot to give it a chance to enter training data; (2) strengthen Bing SEO and E-E-A-T because ChatGPT Browse uses Bing search. We also increase brand mentions in authoritative sources - LLMs measure trust via co-occurrence. Monthly ChatGPT prompt tests track progress.

llms.txt is a draft standard emerging in late 2024/early 2025. A markdown summary file at the site root - it helps AI crawlers and LLMs quickly understand your site structure. Like an AI-version of robots.txt. Not required yet but early adopters get an advantage - we set it up on every project.

Absolutely yes. AI SEO doesn't replace classic SEO - it's added on top. Google AI Overview picks sources from classic organic; ChatGPT Browse uses Bing; Perplexity does classic crawling. Classic SEO is the foundation; AI SEO is the new layer on top. They run together.

AI measurement differs from classic ranking tracking. We use: (1) AI Citation Rate - the % of top 50 sector questions where your brand is cited in ChatGPT/Perplexity/Gemini, (2) Share of Voice in AI - visibility vs competitors, (3) Google Search Console AI Overview impression segment, (4) GA4 AI referral traffic (chat.openai.com, perplexity.ai), (5) brand mention sentiment. All shared transparently in the monthly report.

Pure unreviewed AI content is definitely risky - Google's "spam policies" (March 2024 update) explicitly bans scaled manipulation. But content using AI as a tool, reviewed by an expert editor with original data and opinion is fully safe - Google's official position. We use a hybrid model: AI draft + human expert editor + original data.

// Related Services

SEO

AI SEO (AEO / GEO)