AONETA HELP CENTER
Clear answers about AI SEO, Generative Engine Optimization, website audits, Google Search, AI visibility, free scans, pricing and privacy.
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Aoneta helps businesses evaluate publicly observable website information that may affect how search engines and AI-powered discovery systems understand their websites. It highlights findings, supporting evidence and practical improvements.
Aoneta provides an evidence-focused approach to website auditing. It helps identify observable issues involving page content, metadata, structured data and business information, then organizes findings into actionable recommendations.
Aoneta may be useful for small businesses, service providers, founders, website owners and marketing teams that want to understand and improve their website information for search and AI discovery.
Aoneta focuses on observable website evidence and readiness indicators. Traditional SEO platforms may also provide keyword databases, backlink analysis, ranking reports and traffic estimates. Aoneta emphasizes findings that can be supported by the sources it actually checks.
You can submit a publicly accessible URL to run the available scan. The results depend on which pages and technical signals can be accessed and inspected during that scan.
AI SEO commonly refers to improving website content, accessibility and information quality for discovery experiences that use artificial intelligence alongside traditional search. The term is used in different ways across the industry, and there is no single universal AI SEO score.
Generative Engine Optimization, or GEO, describes efforts to make content useful, clear and understandable for generative AI search and answer experiences. GEO practices overlap with established SEO fundamentals, including accessible content, accurate facts and clear page structure.
Publish helpful content that answers genuine customer questions, use descriptive page titles and headings, maintain consistent business details, create logical internal links and make important pages accessible to crawlers. Use accurate structured data where appropriate. These steps can improve clarity but cannot guarantee an AI mention or citation.
Aoneta can help review observable website information and identify potential improvements to content clarity and technical presentation. A website audit cannot reveal every internal AI retrieval process or guarantee that ChatGPT will mention, recommend or cite your business.
No. Search rankings depend on many factors, including relevance, competition, website accessibility and search-system changes. Aoneta reports findings and potential improvements but does not guarantee first-page rankings, traffic increases or specific positions.
No. AI-generated answers and citations vary by query, location, source availability, product and time. Aoneta does not guarantee citations, recommendations or mentions in Google AI Overviews, ChatGPT or other AI products.
SEO generally focuses on helping search engines discover, understand and rank web pages. GEO focuses on how content may be interpreted or cited in generative AI experiences. Both benefit from useful content, accessible pages, clear facts and well-organized website information.
No. A public website audit cannot inspect all model training data, private indexes or internal retrieval systems. It can report evidence available from the sources it actually accesses and highlight information that may need clarification.
Depending on the available scan, an audit may examine accessible page content, metadata, structured data and consistency of business information. The actual report should define which checks were completed. A lightweight scan does not replace every technical, backlink, analytics or conversion audit.
Structured data is machine-readable information added to a web page to describe its content. It often uses Schema.org vocabulary and JSON-LD format. Eligible, accurate markup can help supported search systems interpret information, but it does not guarantee rich results or improved rankings.
Schema.org provides shared vocabulary for describing entities and information, such as organizations, products and articles. JSON-LD is a format commonly used to publish that structured information in a web page. The markup should accurately match visible page content.
No. Structured data can help search engines interpret eligible information, but its presence does not guarantee higher rankings, rich results or AI citations. Correct implementation and compliance with relevant search guidelines matter.
llms.txt is an emerging convention proposing a text file that summarizes useful information about a website for language-model tools. It is not a general Google Search requirement, and its effect on rankings or AI citations is not established.
There is no universal requirement to publish llms.txt for Google Search. Prioritize useful content, crawlable pages, accurate information and sound website structure. Consider llms.txt only where it supports a relevant workflow or documented tool requirement.
The workflow described here focuses on findings, recommended actions and verification. Do not assume that identifying an issue automatically changes your website. Apply the recommended fix and use the available verification process to check the result.
Submit a publicly accessible URL to run a light-touch scan. The intended report includes findings, supporting evidence and a practical 30-day roadmap. Results depend on whether the relevant pages can be accessed and inspected.
No signup is required for the free scan described on this page. Workspace features and other plan-specific functionality may require an account.
An evidence-first audit connects a finding to something observable, such as page content, metadata, structured markup or a business detail. This helps you review why a finding was raised before deciding which change to make.
Turn a finding into a trackable action, apply the change to your website, mark the action complete and select Verify. The described workflow re-fetches the source and compares fresh evidence with the previous state. A finding should only be marked verified when the expected observable change is confirmed.
A page may be inaccessible because of authentication, network errors, robots directives, server restrictions, rendering behavior or other technical limits. A scan represents what it could observe at that time and does not prove that information is missing from every source.
The roadmap organizes reported findings into practical next steps over 30 days. Use it to prioritize work, not as a guarantee of a particular ranking, traffic increase or AI citation.
According to the product terms provided for this page, your workspace moves to the Free plan when the 7-day trial ends. Your data remains available, and you can choose to subscribe later.
The stated trial policy is that Aoneta does not automatically charge you when the trial ends. A paid subscription requires an explicit action from you.
Visit the pricing page for the currently offered plans, prices and feature limits. Review the latest details there before choosing a subscription.
The stated trial policy says that your workspace moves to the Free plan after the trial and that your data remains available. Features and limits may differ by plan, so check the pricing page for current details.
Aoneta states that it does not sell user data and uses it to provide the service. Consult the published Privacy Policy for the full details about data handling, retention and service providers.
A public URL scan is intended to inspect information accessible from the submitted website. Do not submit passwords, private access links or confidential information in a public URL field.
Yes. The described process is to submit a data subject access request (DSAR) from your account settings. Aoneta states that it aims to complete requests within 30 days, subject to applicable law and the details of the request.
Use the contact page to send your question or explain the issue. Include the relevant page URL and a clear description, but do not send passwords or sensitive credentials.