AI Visibility Intelligence Platform
Do AI Systems Recommend Your Brand?
ChatGPT, Gemini, Claude, Perplexity ve Grok üzerinde markanızın nasıl algılandığını, hangi kaynaklardan beslendiğini ve neden önerilip önerilmediğini analiz edin.
Visibility analysis across ChatGPT, Gemini, Claude, Perplexity and Grok
GEO-DAM does more than measure AI visibility; it creates a persistent AI Recommendation Intelligence data layer that explains why a brand is recommended or left out.
Sample AI visibility query
"Which brands are recommended in this industry?"
Live prompt pool
Choose an example
The 50 prompts are not a fixed generic list; they are tailored by sector, purchase intent, comparison and trust context.
GEO-DAM Agent
The brand, competitors and source ecosystem were analyzed across the DAM-6 layers.
- 20 competitor candidates classified
- RAG and citation opportunities identified
- AI recommendation score calculated
78%
ChatGPT
58%
Gemini
65%
Perplexity
72%
Claude
62%
Grok
Model-level visibility comparison
5 live AI models
The same brand context is measured separately across ChatGPT, Gemini, Claude, Perplexity and Grok.
78%
ChatGPT
58%
Gemini
72%
Claude
65%
Perplexity
62%
Grok
Problem space
What does this system solve?
Appearing in AI answers can no longer be explained by classic ranking signals alone; GEO-DAM simplifies visibility at the moment of choice.
Quickly see whether your brand is associated with the right service, industry and expertise.
Identify the prompts, sources and missing signals that help competitors stand out.
Prioritize content, source, trust and competitive actions that can improve the score.
Live data layer
GEO-DAM Intelligence Dataset
● Persistent prompt memory
● Türkiye sector benchmark infrastructure
5 live AI modelsModel-level visibility comparison
500+ prompt infrastructureClustered by industry and intent
Persistent data memoryHistorical scores are never overwritten
Türkiye benchmark focusAnonymous industry comparison infrastructure
See what you will get first
Explore the real report structure before you buy.
The anonymized example goes beyond the score to show recommendation drivers, invisible prompts, competitor pressure and priority actions.
67/100
Score center
GEO-DAM Score
Sample score combining brand perception, source visibility, competitor pressure and recommendation signals.
0-100 range
6 DAM layers
Developing authority
Sample brand
67/100
Developing authority
Competitor intelligence
AI Visibility Competitor Map
The central commercial question is simple: who is recommended or cited in AI answers, and why?
DAM-6 Framework
Six layers that carry AI visibility
Each layer is more than a single score; it represents the signal set that shapes how AI systems understand, validate and recommend the brand.
Is the brand recognized as a clear and distinctive entity by AI?
Does the brand match the right needs, category and usage context?
Are expertise, proof and topical depth visible strongly enough?
Do trust signals support the brand at the moment of decision?
Has third-party source visibility and mention strength been established?
Is the brand actually highlighted and recommended in AI answers?
How does it work?
The 4-step GEO-DAM analysis flow
1
Input
Website and industry are scanned
Initial context is created from the brand, website, industry, keywords and target market.
Brand context
2
Discovery
Competitors and RAG sources are separated
Actual competitor brands are classified separately from news, list, directory and citation sources.
Competitor + source map
3
Measurement
50 prompts are tested across AI models
Brand mentions, recommendations, citations, competitor pressure and model errors are measured separately.
5 model results
4
Decision
Results become memory and reports
Raw responses and structured observations are retained to produce trends, benchmarks, PDFs and dashboard reports.
Score + action plan
Key features
What does GEO-DAM add to your brand?
Measures the Entity, Meaning, Authority, Trust, Citation and Recommendation layers together.
Evaluates whether content is AI-readable, citeable and trustworthy.
Identifies up to 20 competitor candidates and lists relevant brands for comparison.
Shows lists, directories, news, publications and third-party sources where the brand could gain visibility.
Tracks whether each AI model recommends the brand across commercial-intent questions.
Prompt results accumulate over time and become visibility trends by model, competitor, source and sector.
Plans
Choose the right plan for your AI visibility
Start with a free preliminary analysis, then deepen your GEO-DAM roadmap with a professional report, monthly tracking or Yusuf Şahin consulting.
Website scan, DAM-6 preliminary score, AI citation content quality signal, and limited competitor/source discovery.
50 prompt AI görünürlük testi, 20 rakip kıyası ve 30/60/90 günlük aksiyon planı.
Monthly GEO-DAM score changes, competitor pressure tracking, and dashboard history.
Strategy, execution, prompt optimization and Yusuf Şahin consulting support.
Framework owner and methodology note
GEO-DAM6 was developed from Yusuf Şahin’s digital perception and AI visibility methodology.
GEO-DAM AI Visibility Suite is built on the GEO-DAM6 Framework developed by GEO and AI Visibility expert Yusuf Şahin. Beyond traditional ranking metrics, it evaluates how AI systems recognize, validate, cite and recommend a brand across six connected layers.
Yusuf Şahin GEO Architecture
Markanızı AI aramalarında önerilen konuma taşıyın.
Önce görünürlüğü ölçün, sonra içerik, citation ve önerilme sinyallerini birlikte güçlendirin.
Measurement
Yol haritası
Aylık takip
GEO-DAM Methodology
How understandable, trustworthy and recommendable is your brand to AI systems?
GEO-DAM; markaların AI sistemleri tarafından anlaşılma, güvenilme, kaynak gösterilme ve önerilme seviyesini ölçen bir AI Visibility Intelligence Platformudur.
- 0-100 score range
- 6 DAM layers
- 5-model comparison
Questions the methodology answers
What does this system solve?
Quickly see whether your brand is associated with the right service, industry and expertise.
Identify the prompts, sources and missing signals that help competitors stand out.
Prioritize content, source, trust and competitive actions that can improve the score.
Score center
GEO-DAM Score
AI recognizes the brand weakly; recommendation and citation signals are limited.
There is baseline recognition, but competitor pressure and citation gaps stand out.
The brand is recognized, but trust, comparison and third-party sources must improve for stronger recommendations.
The brand is both known and recommended; visibility approaches a defensible level.
The GEO-DAM Score is always interpreted on a 0-100 scale. This scale simplifies the Digital Awareness Score approach into a clearer decision-making model inside the product.
Competitor intelligence
AI Visibility Competitor Map
The central commercial question is simple: who is recommended or cited in AI answers, and why?
Methodology
How does GEO-DAM analysis build trust?
Entity, Meaning, Authority, Trust, Citation and Recommendation are measured as separate layers.
Website signals, content quality, AI answers, source visibility and competitor pressure are evaluated together.
The analysis uses the website, search results, competitor candidates, RAG/citation sources and structured prompt history.
Brand mentions, recommendations, citations and competitor pressure are classified by model across commercial-intent prompts.
Framework owner and methodology note
GEO-DAM6 was developed from Yusuf Şahin’s digital perception and AI visibility methodology.
GEO-DAM AI Visibility Suite; GEO ve AI Visibility Uzmanı Yusuf Şahin tarafından geliştirilen GEO-DAM6 Framework temelinde hazırlanmıştır. Sistem, klasik sıralama ölçümünün ötesine geçerek bir markanın yapay zekâ sistemleri tarafından nasıl tanındığını, doğrulandığını, kaynak gösterildiğini ve önerildiğini altı bağlantılı katmanda değerlendirir.
How does it work?
The 4-step GEO-DAM analysis flow
1
Input
Website and industry are scanned
Initial context is created from the brand, website, industry, keywords and target market.
Brand context
2
Discovery
Competitors and RAG sources are separated
Actual competitor brands are classified separately from news, list, directory and citation sources.
Competitor + source map
3
Measurement
50 prompts are tested across AI models
Brand mentions, recommendations, citations, competitor pressure and model errors are measured separately.
5 model results
4
Decision
Results become memory and reports
Raw responses and structured observations are retained to produce trends, benchmarks, PDFs and dashboard reports.
Score + action plan
The prompt set is not a static list. Brand-name, category, comparison, purchase-intent, trust and citation clusters are balanced for your sector.
Which are the best [category] brands?
Is [Brand] trustworthy?
[Competitor] or [Brand]?
Which brands are recommended more often?
Competitors do not come from a single source. Site category, service language, search results, list and guide pages, brands co-mentioned in AI answers and the candidates you add are evaluated together.
The goal is not to invent false competitors; it is to build a candidate pool first and then validate the most relevant players for comparison.
Key features
What does GEO-DAM add to your brand?
Measures the Entity, Meaning, Authority, Trust, Citation and Recommendation layers.
Evaluates whether content is AI-readable, citeable and trustworthy.
Identifies up to 20 competitor candidates and lists relevant brands for comparison.
Shows lists, directories, news, publications and third-party sources where the brand could gain visibility.
Tracks whether each AI model recommends the brand across commercial-intent questions.
Prompt results accumulate over time and become visibility trends by model, competitor, source and sector.
Brand value
What does it tell the brand owner?
Rapor, teknik terimleri sadeleştirerek “Bugün neden önerilmiyorum?” ve “AI cevaplarında önerilmek için önce ne yapmalıyım?” sorularına cevap verir.
- Do AI systems place the brand in the right category?
- Is the content authoritative enough to be cited?
- Across which prompts do competitors outperform the brand?
- Which RAG/citation sources should the brand target?
- Which actions should be completed in the first 30 days?
Anonymized sample report
This is what a real GEO-DAM report looks like
Representative anonymized example from the e-commerce industry · June 2026
This page is a one-page short preview of the professional GEO-DAM report. The purchased full report is multi-page and detailed.
In the full professional report
What is included beyond the preview?
- 50 promptVisible and invisible queries
- 5 AI modelsModel-level comparison
- 20 competitorsComplete AI visibility map
- Source analysisCitation and trust signals
- 30/60/90 daysDetailed action plan
Developing authority · AI systems recognize the brand, but recommendation confidence has not yet reached competitor level.
DAM-6 layers
The brand’s AI recommendation foundation
Recommendation Intelligence
Why is your competitor recommended while you are not?
Competitor B is cited more frequently in comparison prompts.
Independent industry lists and editorial content support Competitor B, while Brand A remains largely limited to its own domain.
Brand A is recognized but does not cross the recommendation threshold in purchase-intent questions.
The product offering is understood, but verifiable expertise, user proof and third-party citation diversity are weak.
Visibility is lost in “best” and “trusted” contexts.
The brand appears in 18 of 50 prompts but is directly recommended in only 9; competitors lead especially in trust-related contexts.
ETS impact+24
Citation Diversity+18
Authority Signals+14
Community Presence-4
First 30 days
Priority action plan
Combine expertise, company history, verifiable success and user proof within a unified trust architecture.
Explain in a citable format which needs, audiences and alternatives the brand is best suited for.
Establish a consistent brand presence across industry publications, guides and trusted communities.
AI Visibility Competitor Map
Competitive view by model and prompt
The complete competitor map is unlocked in the professional report.
Detailed visibility comparison across 50 prompts, 5 AI models and 20 competitors.
Let the next report be for your brand
Why does AI recommend you or leave you out?
Start with the free preliminary analysis and unlock the complete prompt, competitor and action report when you need it.
GEO-DAM Plans
Plans from AI visibility measurement to continuous growth
Ücretsiz ön analizle başlayın; profesyonel rapor, aylık takip veya Yusuf Şahin danışmanlığıyla GEO-DAM yol haritanızı derinleştirin.
Plans
Choose the right plan for your AI visibility
Her paket GEO-DAM Score, rakip baskısı, RAG kaynak fırsatları ve AI önerilme potansiyelini farklı derinlikte ölçer. Ödeme manuel ilerler: paket talebi, WhatsApp/dekont ve admin onayı.
DAM-6 Framework
AI Visibility
Competitor Map
RAG Opportunities
HTML Report
Fastest start
One-time
Professional GEO-DAM Report
For brands that want a clear view of their current AI visibility.
$29
$19
Limited-time launch price
1 professional report credit
- 50-prompt AI visibility test
- 20 competitor brand/website comparisons
- RAG and citation opportunities
- 30/60/90-day action plan
Recommended
Monthly
AI Visibility Tracking
Recurring tracking for small and mid-sized brands.
$129
$89
/ month
Limited-time launch price
5 runs per month · approximately every 6 days
- Monthly GEO-DAM score changes
- Competitor pressure trend tracking
- Prompt performance insights
- PDF report archive and dashboard history
Premium
Consulting
GEO-DAM Growth
For companies aiming to become a recommended brand in AI search.
$1299
$899
/ month
Limited-time launch price
Strategy + execution + tracking
- GEO content architecture and roadmap
- Prompt optimization and source distribution
- RAG/citation visibility plan
- Yusuf Şahin consulting process
Free start
Preliminary Analysis
A limited initial analysis to see the brand’s first GEO signals and choose the right plan.
$0
Business email required- Website scan and preliminary DAM-6 score
- AI citation content quality signal
- Limited competitor/source discovery
- AI prompt testing is not included
Manual payment:
After requesting a plan, payment/receipt details are sent via WhatsApp. Analysis credits are added after admin approval.
“Markaların, dijital yok oluşunu durdurmak için Dijital Hakimiyet Sistemi'ni kurdum. Bugün tek amacım var: Yapay zekanın sizi önermesini sağlamak.”
Customer experience
How do brands use GEO-DAM outputs?
Seven different use cases showing how the report improves decision clarity across teams.
For the first time, we could see in one screen which queries and sources helped our competitor stand out.
We discovered that the brand was known but not recommended enough in purchase-intent queries.
Showing which three actions should be taken first instead of listing technical items accelerated the process.
When we saw that we were strong in ChatGPT but weak in Gemini, we separated our content and source plans by model.
The GEO-DAM Score helped us explain AI visibility to the management team in a simple, measurable way.
It became clear why we remained weak in trusted third-party sources despite being widely discussed.
Monthly remeasurement lets us track when our work begins to affect the AI recommendation rate.
These texts are illustrative placeholders created to demonstrate the section layout; they will be replaced with verbatim verified customer reviews as publication approval is received.
Frequently Asked Questions
What you may want to know before starting the analysis
Short answers about free coverage, prompt methodology, competitor selection, data security and the plan process.
What does the free GEO-DAM analysis include?
The website scan, preliminary DAM-6 score, AI citation content-quality signal and limited competitor/source discovery are free. The 50-prompt multi-model test and complete professional report are unlocked in paid plans.
Are the 50 prompts the same for every brand?
No. The prompt pool is customized by brand, sector, target market, purchase intent, trust, comparison and citation clusters.
How are competitor candidates determined?
The competitors you add are enriched with the sector pool, search results, list and guide pages and brands co-mentioned in AI answers. The most relevant candidates are validated for comparison.
GEO-DAM Score ne anlama geliyor?
The 0–100 score interprets Entity, Meaning, Authority, Trust, Citation and Recommendation layers together. A higher score indicates that the brand is more understandable, verifiable and recommendable to AI.
Which AI models are tested?
Depending on plan and provider availability, model-level visibility testing is performed across ChatGPT, Gemini, Claude, Perplexity and Grok.
Are analysis results and historical scores retained?
Yes. Prompt results, structured observations and metric summaries belonging to the authorized brand account are retained without overwriting historical records, allowing change over time to be tracked.
How do payment and plan activation work?
Currently, payment or receipt information is shared through WhatsApp after a plan request. Analysis credits are assigned to the brand account after review and admin approval.
Do report results guarantee recommendation by AI?
No. GEO-DAM is a decision-support system that shows visibility signals and improvement opportunities under specific test conditions; it does not guarantee ranking, sales or recommendation.
About / Product Profile
We turn AI visibility into measurable brand intelligence.
GEO-DAM AI Visibility Suite; Yusuf Şahin tarafından, markaların yapay zekâ sistemlerinde nasıl anlaşıldığını, hangi kaynaklarla doğrulandığını ve neden önerildiğini açıklamak için geliştirildi.
Why was it developed?
To explain why brands do not appear in AI answers through the underlying signals, not merely the final result.
How does it work?
Combines website scanning, DAM-6 signals, competitor mapping, RAG sources and multi-model testing in one report.
What does it produce?
Produces a GEO-DAM score, priority gaps, competitor pressure analysis and an actionable 30/60/90-day growth plan.
Imprint
Product and contact information
Kurucu, metodoloji ve resmi iletişim kanalları bu bölümde sade biçimde listelenir.
- Product
- GEO-DAM AI Visibility Suite
- Founder / Developer
- Yusuf Şahin
- Methodology
- GEO-DAM6 Framework
- Authority hub
- yapayzekageo.com
- Consulting
- yusufads.net
- Professional profile
- LinkedIn / Yusuf Şahin
Let’s evaluate it together
Measure your brand’s AI visibility, then choose the right growth plan.
Start with a free preliminary analysis or request professional GEO consulting directly with Yusuf Şahin.
Release Notes
GEO-DAM canlı ürünü nasıl gelişiyor?
Bu sayfa, canlıya geçtikten sonra ürünün hangi alanlarda olgunlaştığını gösterir: veri hafızası, panel deneyimi, rapor güvenilirliği ve daha net AI görünürlük anlatısı.
- Latest 8 notable releases
- Live product journey
- Data layer focus
Her ölçümün zaman içinde kıyaslanabilir ürün zekâsına dönüşmesi.
Marka sahibinin 5 saniyede ne gördüğünü anlayabildiği arayüz.
Sektör bazlı karşılaştırma yapabilecek veri omurgasının büyütülmesi.
Latest 8 notable releases
Canlıya alındığından beri öne çıkan ürün güncellemeleri
Her not; ürünün ölçüm gücünü, güven katmanını veya dönüşüm odaklı kullanıcı deneyimini iyileştiren somut değişiklikleri özetler.
v1.25
Light SaaS landing language and responsive experience refresh
New- The homepage moved to a brighter, more spacious and more centered premium SaaS rhythm; the hero intro, CTA hierarchy and first-screen balance were rebuilt.
- The dashboard preview, prompt memory, score cards and model strip were restructured to sit inside one mockup with clearer layers.
- Header, spacing sistemi, section ritmi ve kart derinliği daha modern bir ürün diline çekildi.
v1.23
Sekmeli panel akışı, üst menü senkronu ve düzen toparlama
New- Marka paneli ve admin paneli tek uzun sayfa akışından çıkarıldı; üst menüyle çalışan raporlar, kredi/paketler ve ayarlar sekmeleri kuruldu.
- Giriş yapan kullanıcılar için üst menü ve çıkış alanı her panel renderında tekrar senkronlanacak şekilde güçlendirildi.
- Marka panelindeki mobil alt menü, aktif bölüm vurgusuyla sekmeli yapıya uyarlandı.
v1.21
Email verification, notifications and report reliability
New- Email verification is now required after brand registration; reports, AI prompt tests and package actions remain locked until verification is complete.
- Automatic email notifications were added for package requests, admin approval/rejection and manual analysis credit assignments.
- A Data Reliability card was added to reports to separate real model responses, excluded responses, DAM-6 checks and source/competitor signals.
v1.20
Persistent membership and package database
New- Brand accounts, sessions, package requests, leads and the report archive were connected to the persistent Supabase operational layer.
- Existing local records were placed into a safe migration flow that transfers them to Supabase without overwriting newer remote data.
- A visible status area was added to the admin panel to show whether the persistent database connection is healthy or running in fallback mode.
v1.19
Customer reviews and FAQ trust layer
New- A seven-card customer review area was added immediately after the pricing decision point.
- An eight-question FAQ section was created to explain free coverage, prompts, competitor selection, scoring, data memory and the payment process.
- An illustrative-content notice was made visible so unverified reviews are not presented as real customer statements.
v1.18
Limited-time launch pricing
New- The professional report is offered at $19 instead of $29, and monthly tracking at $89 instead of $129.
- The GEO-DAM Growth consulting plan was updated to $899/month instead of $1299.
- Original and current prices are now visible on pricing cards with a limited-time campaign notice.
v1.17
Visual analysis flow and benchmark proof area
- The four-step GEO-DAM flow was turned into an icon-led connected visual diagram for non-technical users.
- The anonymized sample report was moved into a more prominent decision area on the homepage.
- The Türkiye sector benchmark infrastructure is now explained with a comparison card clearly labeled as illustrative data.
v1.16
Sticky expert review with Yusuf Şahin
- A sticky review card with Yusuf Şahin’s portrait, expertise and a direct contact link was added beside the sample report.
- The card remains visible while scrolling on desktop and returns to the normal flow on mobile without covering content.
GEO-DAM Glossary
What do GEO, AI SEO and DAM-6 terms mean?
Bu sayfa, GEO-DAM Audit Tool içinde geçen kavramları sade bir dille açıklar. Amaç, raporu okuyan marka sahibinin teknik terimlere takılmadan neyin ölçüldüğünü anlamasıdır.
Core concepts
GEO ve AI Visibility
What is GEO?
Generative Engine Optimization is the practice of helping AI systems such as ChatGPT, Gemini, Claude, Perplexity and Grok understand, cite and recommend a brand.
What is AI SEO?
AI SEO adapts SEO principles to AI answer engines. The goal is not only ranking, but appearing in the right context within AI answers.
What is AI Visibility?
The degree to which a brand appears, is mentioned, cited and recommended in AI answers.
What is a Prompt?
A prompt is a question or instruction given to an AI model. GEO-DAM uses prompts to test queries close to customer purchase intent.
What is an LLM?
A Large Language Model is an AI model that understands, summarizes and answers text while generating recommendations.
What is an AI Model?
Any AI system such as ChatGPT, Gemini, Claude, Perplexity or Grok that generates answers to user questions.
What is AEO?
Answer Engine Optimization aims to position a brand as a clear, concise and trustworthy answer in answer engines rather than only in search rankings.
What is Search Intent?
The user’s underlying purpose: learning, comparing, preparing to buy or directly finding a service.
GEO-DAM Framework
DAM-6 layers
GEO-DAM evaluates whether a brand is recommendable in AI systems across six core layers.
What is DAM-6?
The GEO-DAM evaluation framework built from Entity, Meaning, Authority, Trust, Citation and Recommendation layers.
What is Entity?
The recognition of a brand as a distinct entity by AI. Brand name, website, founder, service area and category signals strengthen its entity structure.
What is Meaning?
An AI system’s understanding of what the brand does, which problem it solves and which category it belongs to.
What is Authority?
Signals that make a brand appear expert, credible and reference-worthy in its field.
What is Trust?
The brand’s ability to build trust through contact details, privacy and legal pages, expert information, reviews, evidence and transparency.
What is Citation?
Having pages and external sources that can serve as references or validation points in AI answers.
What is Recommendation?
An AI system presenting the brand as an option, expert, company or solution when answering a question.
Source and learning ecosystem
RAG, citation and source terminology
What is RAG?
Retrieval-Augmented Generation enables an AI model to retrieve external information and use it to strengthen its answer.
What is a RAG Source?
A list, directory, news article, industry publication, profile, review or data page that AI systems may reference when generating answers.
What is a Citation Source?
An internal or external page that validates the brand and is suitable for citation in AI answers.
What is a Knowledge Graph?
A network representing relationships between entities such as a brand, founder, service, city and industry.
What is an Embedding?
A mathematical representation of text or data that AI systems use to evaluate semantic similarity.
What is a Vector Database?
A database that stores embeddings and enables fast search based on semantic similarity.
What is Grounding?
Grounding connects AI answers to real sources, current data or verifiable information, reducing unsupported speculation.
What is Retrieval?
The process of finding relevant sources and retrieving information before an AI system generates an answer.
What is a Source Graph?
An ecosystem of news, directories, profiles, lists and industry pages that reinforce information about a brand.
Report metrics
Scores shown in the GEO-DAM report
What is the GEO-DAM Score?
It is the overall 0-100 AI visibility score formed from site signals, AI tests, competitor pressure and the DAM-6 layers.
What do the score ranges mean?
0-39 indicates low visibility, 40-59 growing visibility, 60-79 developing authority and 80-100 strong recommendation power. This is the simplified DAS interpretation model inside GEO-DAM.
What is a Brand Mention?
The appearance of a brand name in an AI answer. It is weaker than a recommendation but remains an important visibility signal.
What is Recommendation Rate?
The percentage of tested prompts where the brand appears as a recommended option.
What is Citation Rate?
The percentage of AI answers where the brand or its content is supported as a source.
What is Competitor Pressure?
The extent to which competitors appear more frequently or prominently than the brand in AI answers.
What is Answer Accuracy?
The AI model’s ability to answer without generating incorrect, incomplete or misleading information about the brand.
What is AI Share of Voice?
A metric showing the brand’s relative visibility against competitors across a defined prompt set.
What is AI Perception Tone?
A quality signal showing whether AI describes the brand in a positive, neutral, incomplete or risky context.
What is Hallucination?
The generation of incorrect information with apparent confidence. The risk increases when brand information is weak or contradictory.
Content and technical signals
AI-readable content language
What is Schema?
Markup that describes webpage information in a structured format for search engines and AI systems.
What is Structured Data?
A machine-readable data format for information such as products, people, organizations, services, reviews and FAQs.
What is E-E-A-T?
Experience, Expertise, Authoritativeness and Trustworthiness: a quality framework for evaluating content and brand credibility.
What is Helpful Content?
Original, useful, explanatory and trustworthy content created for real user needs rather than solely for search engines.
What is an Answer Block?
A content block that gives a concise, clear and citeable answer, making it easier for AI systems to quote.
What is an FAQ?
A section providing clear answers to frequently asked questions and creating structured context for AI answers.
What is Robots.txt?
A file specifying which areas of a website search engines and bots may or may not crawl.
What is a Sitemap?
A file listing important website pages to improve crawling and discovery.
What is a Canonical Tag?
A tag identifying the preferred primary page among similar or duplicate pages.
What is Crawlability?
The ability of search engine and AI bots to access and crawl website pages.
What is Indexability?
Whether a page can be indexed by search systems. Non-indexed content may also remain weak in AI discovery.
What is Topical Authority?
Authority built through comprehensive, consistent and in-depth content that establishes expertise on a specific topic.
What is YMYL?
Your Money or Your Life: content categories such as health, finance and law where higher trust and expertise standards apply.
What is Content Freshness?
Keeping content current in its dates, examples, data and sources. AI systems may trust outdated or abandoned pages less.
Get started
Discover your website’s AI visibility
Başlamak için yalnızca web sitenizi ve kurumsal e-posta adresinizi girin. Analiz ayrıntılarını bir sonraki kısa adımda tamamlayabilirsiniz.
Free · Less than one minute
How visible is your brand in AI systems?
No long form in the first step. Start with two details, then complete your brand and industry information on the next screen.
✓ No credit card required
✓ Free preliminary score
✓ Your data is never sold
Preparing GEO-DAM Score
AI visibility signals and competitor discovery
36 kontrol artık arka planda otomatik sinyale dönüştürülür. Site, schema, robots, sitemap, içerik yapısı, güven sinyalleri ve rakip görünürlüğü analiz edilir.
AI Visibility Test
Automatically test 50 prompts across AI models
Sistem promptları modellerde çalıştırır, cevapları analiz eder ve markanın bahsedilip bahsedilmediğini, kaynak gösterilip gösterilmediğini, önerilip önerilmediğini otomatik sınıflandırır.
GEO-DAM Report
AI visibility and digital perception results
Sonuçlar anlık sinyal üretir. AI cevapları modele, oturuma, lokasyona ve güncellemelere göre değişebilir.
Brand Account
Sign in or create your account
GEO-DAM skor geçmişinize, raporlarınıza, analiz haklarınıza ve paket taleplerinize tek bir güvenli hesap üzerinden erişin.
Legal and Trust
Privacy and Data Protection Policy
Last updated: June 18, 2026
1. Data controller
Personal data within GEO-DAM AI Visibility Suite is processed by platform operator Yusuf Şahin / YusufADS as the data controller. Contact: Orjin Maslak, Maslak Mah. Eski Büyükdere Cad. No:27, Sarıyer / Istanbul; +90 533 500 50 88; strateji@yapayzekageo.com.
2. Categories of data processed
- Identity and contact: name, brand/company name, business email and telephone.
- Account and security: password hash, session record, IP address, login and transaction records.
- Analysis inputs: website, industry, target market, competitors, keywords and service information.
- Transaction and customer data: plan requests, credit balance, payment/receipt status, report and analysis history.
- Technical data: essential cookie/local storage preferences and error records.
3. Purposes and legal grounds
Data is processed to establish and perform the service, manage user accounts, create analyses and reports, maintain security, prevent abuse, answer support requests, comply with legal obligations and establish legal rights. Marketing communication is not conducted without separate optional consent.
4. Transfers and service providers
Analysis inputs may be transferred to configured AI model providers and technical infrastructure services to perform user-initiated AI visibility tests. Depending on the provider, data may be processed outside Türkiye. Providers and cross-border transfer mechanisms must be finalized with legal counsel before public launch.
5. Retention period
Account, report and transaction records are retained for the duration of the service relationship and applicable statutory limitation periods. Failed login and technical security records are retained only as long as necessary for security. Data is deleted, destroyed or anonymized when its purpose ends.
6. Data subject rights
Under Article 11 of the Turkish Personal Data Protection Law, you may ask whether your data is processed, request information, correction, deletion or destruction, notification to third parties, object to automated evaluation and claim compensation. Submit requests with identity-verifying information through the contact details above.
This is a pre-launch operational draft. The data controller’s legal title, VERBIS obligations and cross-border transfer structure must be verified by legal counsel.
Legal and Trust
Terms of Use
Last updated: June 18, 2026
1. Scope of service
GEO-DAM produces AI visibility signals, scores and recommendations using user-provided information, publicly available web sources and structured AI model tests.
2. User obligations
The user confirms that submitted information is accurate, that they are authorized to analyze the website and brand, and that they will not enter third-party personal or confidential data without permission.
3. Account security
Account credentials are personal. Users are responsible for protecting passwords and promptly reporting unauthorized use. Suspicious or abusive activity may be restricted.
4. Plans, payments and credits
Plan scope and pricing are shown on the pricing page. During manual payment operation, analysis credits are assigned after payment/receipt verification and admin approval. The system aims not to deduct a credit when no model result is produced due to a provider-wide error.
5. Intellectual property
Rights to the GEO-DAM name, interface, report formats, scoring approach and GEO-DAM6 Framework belong to their respective owners. Users may use reports for their own brand activities; unauthorized reproduction or resale of the methodology is prohibited.
6. Service changes
AI providers, web sources and product features may change over time. Service scope may be updated for security, regulatory or product development reasons.
7. Uygulanacak hukuk
The laws of the Republic of Türkiye govern these terms. Mandatory consumer protection provisions remain applicable to qualifying consumer transactions.
Legal and Trust
Cookie and Local Storage Policy
Last updated: June 18, 2026
Essential technologies
Essential session cookies and browser local storage are used for secure sessions, sign-in, preserving analysis state, rate limiting and remembering cookie preferences. These technologies are necessary for the service.
Optional analytics
The application currently uses no third-party advertising cookies. If anonymous analytics or marketing tools are added later, non-essential tools must not be activated without user choice.
Managing preferences
You may reopen cookie preferences below or clear stored data through browser settings. Disabling essential technologies may disrupt sign-in and report history.
Legal and Trust
AI Analysis Results and Disclaimer
Last updated: June 18, 2026
Nature of the results
GEO-DAM scores and recommendations are decision-support outputs based on signals observed at a specific time and under specific test conditions. Search and AI results may vary by provider, model version, location, session, personalization and current web sources.
No guarantee
The report does not guarantee rankings, traffic, sales, citations or AI recommendations. Users are responsible for deciding whether to implement technical and strategic recommendations.
Professional advice limitation
Outputs are not legal, financial, medical or investment advice. Relevant professional advice should be obtained in high-risk sectors. Automated analysis may contain incorrect, incomplete or outdated information.
Third parties
The availability and content of AI providers, websites and external links are outside GEO-DAM’s control. Users should independently verify sources before making critical decisions.