Measured AI Visibility for a Fresh Domain | Updated February 23, 2026
The Experiment
The domain groundingpage.com was registered on November 20, 2025.
It has minimal authority, almost no backlinks, and no established brand presence.
Question: Can a fresh domain become a cited source in AI-generated answers, solely through structured Grounding Pages?
Methodology:
All measurements were taken independently via Rankscale.ai, an AI visibility tracking tool.
Rankscale queries multiple AI models with defined prompts, records which sources are cited in the generated answers, and tracks citation frequency over time.
The screenshots below show Rankscale's "Execution Detail" view, i.e. the raw source lists that each model returned for a given query.
Note on language: Several screenshots show German-language interfaces and queries. This is because the primary test region was Germany. Each screenshot includes an English description of what is shown.
Competitive Topic: "AI Visibility Tools"
"AI Visibility Tools" is a contested keyword space. Established SEO experts, tool vendors, and marketing platforms compete for visibility here.
The following screenshots show that groundingpage.com, a domain only weeks old at the time of measurement, was listed as a source across five different AI interfaces (ChatGPT, Google AI Overview, Google AI Mode, Google Gemini, Perplexity), in both English and German queries.
The observed visibility represents a snapshot and does not allow conclusions about long-term stability.
Each screenshot is a Rankscale.ai "Execution Detail" view. Yellow highlights mark where groundingpage.com appears in the model's source list. Click any image to enlarge.
ChatGPT (GPT-4)
ChatGPTEN query
Query: "What are AI Visibility Tools?" What's shown: ChatGPT's source list for this query. The Grounding Page on AI Visibility Tools is listed among the cited sources (highlighted in yellow), alongside results from established SEO and marketing domains.
Google AI Mode (Sources)
AI ModeDE query
Query: "Was sind AI Visibility Tools?" (German: "What are AI Visibility Tools?") What's shown: Google AI Mode's source list for this query. The German-language query surfaces groundingpage.com as a cited source (highlighted in yellow). The interface is in German because the test region is Germany.
Google AI Overview
AI OverviewDE query
Query: "Was sind AI Visibility Tools?", Region: Germany What's shown: Google's AI Overview source list for this query. The Grounding Page appears as a cited source alongside established tool vendors and industry blogs. The entry reads "AI Visibility Tools: Segment für Sichtbarkeit in AI..." (German: "AI Visibility Tools: Segment for Visibility in AI...").
Google AI Mode
AI ModeDE query
Query: "Wichtige Kennzahlen/Konzept AI Visibility Tools" (German: "Key metrics/concept of AI Visibility Tools"), Region: Germany What's shown: Google AI Mode generates a detailed answer about AI visibility metrics, directly citing content and structure from the Grounding Page. Both groundingpage.com and gpt-insights.de appear as sources (highlighted).
Google Gemini
Gemini 2.0 ProDE query
Query: "Was sind AI Visibility Tools?" (German: "What are AI Visibility Tools?"), Region: Germany What's shown: Google Gemini 2.0 Pro's citation list for this query. groundingpage.com appears among the cited sources (highlighted in yellow), alongside established tool vendors such as Ahrefs and Supermetrics.
Perplexity
PerplexityDE query
Query: German-language query about AI Visibility Tools, Region: Germany What's shown: Perplexity generates a detailed answer about AI Visibility Tools and lists groundingpage.com as a source (highlighted in yellow). The answer partially adopts the content structure of the Grounding Page.
What these six examples demonstrate
Cross-model consistency: Five different AI interfaces, each with its own retrieval logic (ChatGPT, Google AI Overview, Google AI Mode, Google Gemini, Perplexity), listed the same Grounding Page as a source. The repeated selection across independent systems suggests robust semantic compatibility of the page.
Cross-language functionality: The page was cited for both English and German queries. The English Grounding Page was sometimes selected even for German-language prompts.
Structural adoption: The AI answers partially adopt the content structure and examples from the Grounding Page. This suggests that clearly structured definition pages can shape the reference frame of generative answers. This does not represent control over the answer logic, but increases the likelihood of being considered as a structure-providing source.
Beyond the typical use case: Grounding Pages are designed for your own entities on your own domain, such as a company, a product, or a person. "AI Visibility Tools" is a generic competitive term, not an owned entity. The placement for a generic, competitive term indicates that the model principle is not limited exclusively to owned entities.
Fresh domain, no authority: At the time of measurement, the domain had minimal external signals such as backlinks. Yet it was listed as a source. This suggests that alongside classical authority indicators, structural and semantic characteristics may also play a role in source selection.
Earlier Observations (Nov – Dec 2025)
The following results were recorded during the first four weeks after domain registration (Nov 29 – Dec 14, 2025) using Rankscale.ai's citation tracking across ChatGPT, Perplexity, and Google Gemini.
Overview: Citation Share Across Queries
In the first weeks, groundingpage.com appeared as a top cited source across the tracked query set, alongside established marketing platforms.
Owned Entity: "Grounding Page Standard"
Result: 40.8% citation share across models. When asking about the "Grounding Page Standard," models consistently listed the defining source. The data suggests that structured pages can favor the visibility of new concepts.
Competitive Term: "AI SEO"
Result: 3 direct citations for "What is AI SEO." A competitive topic where the new domain was listed as a source alongside established SEO publications.
Person Entity: "Hanns Kronenberg"
Result: 8.7% share, alongside LinkedIn and other established platforms. A Grounding Page for a person was listed as a source alongside platforms with considerably greater authority.
Cross-Domain Trust
Result: Both gpt-insights.de (an older domain) and groundingpage.com appeared as cited sources. The data suggests that unambiguous semantic signals may favor source selection, even with low domain age.
What the Data Suggests
Across all measured examples, from owned entities to competitive topics, three recurring patterns emerge.
Domain age is not decisive.
In classical SEO, domain authority and backlink profiles are dominant ranking factors. In AI-generated answers, the data suggests that information structure and clarity can outweigh domain age. A weeks-old domain was selected as a source alongside established platforms.
Structured definitions get cited.
Citation rates are highest when the Grounding Page provides the defining source for a concept or entity. This applies to owned entities (project names, people) as well as to broader competitive terms where the page offers a clear, machine-readable definition.
Cross-language and cross-model consistency.
The same Grounding Page was listed as a source by ChatGPT, Google AI Overview, Google AI Mode, Google Gemini, and Perplexity. It was referenced for both English and German queries. In some cases, the English version was selected even for German-language prompts. This may indicate that English content is preferentially considered during model-internal processing.
Limitations: These are observational results from a single domain over a limited time period. They demonstrate feasibility, not guaranteed outcomes. AI model behavior changes over time, and results may vary by topic, language, and model version. Independent replication on other domains is ongoing, see Adoption Directory.
Conclusion
A fresh domain with structured Grounding Pages was independently measured as a cited source across five AI interfaces, in multiple languages, and for competitive topics.
The strongest signals appear for clearly defined entities. This aligns with the core use case of the Grounding Page Standard: providing brands with a machine-readable structure that increases the likelihood of being considered as a reference source in AI-generated answers.
Contextualizing the Observation
The repeated citation of the Grounding Page across five independent AI interfaces shows that clearly structured definition pages can be considered as reference sources in generative search systems. The results do not allow conclusions about internal ranking factors, but point to the importance of semantic clarity and structural precision.
Explore further
The Underlying Structure
See the entity ontology and technical specification that power these results.
