What is GEO Score?
GEO Score is an integrated scoring system that measures how ready a website is for AI search engines (ChatGPT, Gemini, Perplexity, AI Overviews). The GeoScore platform generates scores between 0-100 with a two-layered system consisting of 7 Technical Criteria and a 4-Criteria AI Analysis.
This score is an indicator summarizing the likelihood of your site being found, understood, and cited by AI systems. Meaning of score ranges: 85–100 Excellent (perceived as a reliable source by AI engines), 70–84 Good (basic GEO criteria met, areas for optimization exist), 50–69 To Be Improved (AI visibility is moderate), 30–49 Weak (AI visibility is limited), 0–29 Critical (urgent action required). 66 points and above is the threshold for GEO Certification.
7 Technical Criteria — Deterministic Layer
C1 — AI Bot Access (15%)
Measures whether AI crawlers like GPTBot, ClaudeBot, PerplexityBot, and Anthropic-AI can access your site. robots.txt and llms.txt files are examined. For a blocked site, no other criteria remain valid — therefore, this is the criterion to be checked first.
Common error: Most site owners are unaware of the GPTBot block in their robots.txt. If this block exists, all other GEO efforts become fruitless.
C2 — Structured Data (20%)
Evaluates the existence, validity, and suitability of Schema.org markup in JSON-LD format for the site type. GEO-critical schema types such as Article, FAQPage, Organization, HowTo are prioritized for examination. Structured data directly facilitates AI in correctly categorizing and citing content.
Most effective schema: FAQPage provides the highest impact for both Featured Snippet and AI Overviews. Start with 3-5 clear question-answer pairs.
C3 — E-E-A-T Signals (20%)
Analyzes Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T) indicators. Author name and biography, contact page, physical address information, links to reliable sources, and social media profiles are within the scope of evaluation. AI systems do not trust anonymous content.
C4 — Answer Block (15%)
Detects structured content blocks such as direct definition paragraphs with FAQPage and HowTo schema. These formats are the strongest signal facilitating AI systems to cite content directly as an answer to a specific question. H2/H3 headings in question format also contribute positively to this criterion.
C5 — Content Freshness (10%)
Measures whether the publication date and last update date are visible on the page and included in the schema markup. AI systems prefer up-to-date sources. This criterion is weighted more heavily for news, blog, and educational sites; it carries relatively less weight for corporate pages.
C6 — Extractability (10%)
Evaluates the readability and comprehensibility of the content independent of its context. Distinct entity names, definition sentences, and the presence of numerical statistics are sought. AI systems cite a paragraph independently of the rest of the page — therefore, each paragraph must be meaningful on its own.
C7 — Topic Authority (10%)
Measures the extent to which the site focuses on a specific topic area. Sitemap URL structure, internal link distribution, and thematic consistency of H2 headings are analyzed. Sites deeply focused on a single topic significantly outperform general-purpose sites in terms of AI citation rates.
4-Criteria AI Analysis — Semantic Layer
In addition to technical criteria, GeoScore also evaluates 4 semantic dimensions supported by Gemini AI. This layer measures not what the content says, but how it is understood. Results are added to the report in real-time at the end of the analysis.
AI Citability (aiCitability)
Evaluates the likelihood of AI citing this content as an answer to a question. Authority signals, suitability of content for direct answer format, and trust indicators are considered together.
Content Depth (contentDepth)
Analyzes whether the topic is covered superficially or in depth. The scope of subheadings, the presence of supporting arguments, and the absence of repetitive patterns are the main evaluation elements in this dimension.
Topic Coverage (entityCoverage)
Measures the extent to which the content covers key concepts, people, and organizations related to the topic. Missing entities indicate that the content is insufficient or partial for AI systems.
Source Quality (citationQuality)
Evaluates the reliability of citations to external sources. Academic publications, official statistical sources (TÜİK, Statista), and reputable institutions score highly, while uncited claims negatively affect this dimension.
Fastest Ways to Increase Your Score
Steps that increase the GEO score in the shortest time, ranked by impact:
- Remove AI bot block (C1): Removing the GPTBot or Google-Extended block in robots.txt is instantly effective
- Add FAQPage schema (C2): Adding 3-5 question-answer pairs + FAQPage JSON-LD to your top 5 pages can be done in a few hours
- Strengthen E-E-A-T signals (C3): Add author biography, contact information, and Organization schema
- Create an answer block (C4): Add at least 3 headings in question-answer format to each content piece
- Make date information visible (C5): Specify publication and update dates both visually and within the schema
Difference Between GEO Score and SEO Score
Health or authority scores from tools like Ahrefs or SEMrush measure your site's readiness for traditional search engines. GEO Score, on the other hand, measures readiness for AI systems. These two scores usually support each other, but differences can also emerge:
- Strong backlink profile but no structured data → High SEO score, low GEO score
- Rich content and complete structured data but few backlinks → High GEO score, low SEO authority
In the long term, increasing both scores is the most sustainable approach. GEO Score is a good starting point for this: first measure AI readiness, then close the identified gaps.
