AI Search Helper exists to make an unfamiliar part of search easier to inspect. It gives website owners a structured starting point without pretending that a score can predict or guarantee a recommendation from an independent platform.
What we believe
Useful search content should be accessible, clear about who produced it, supported by evidence, and written around genuine audience needs. Technical markup matters, but it cannot rescue vague claims or a weak information architecture.
How we handle scans
The audit reads public pages only, uses a strict crawl limit, and returns results directly to the browser. There is no login, account profile, or database of submitted reports in this project. Hosting providers may still maintain operational logs under their own policies.
What the report is—and is not
Findings are automated observations intended for planning and education. They are not an endorsement, ranking promise, legal opinion, security assessment, or substitute for a specialist reviewing your site and business context.
Our mission: make AI search readiness understandable
AI Search Helper was created to translate a complicated mix of technical SEO, answer engine optimization, content quality, entity clarity, and trust signals into an accessible first-pass audit. Website owners should be able to see why a page may be difficult to crawl, interpret, or cite without purchasing enterprise software or surrendering contact details. The tool focuses on public evidence and explains its limits so users can separate useful observations from speculation about proprietary ranking and retrieval systems.
Editorial principles behind our guides
Our educational content is written around five principles: answer the real question, identify the responsible source, distinguish evidence from interpretation, explain limitations, and give the reader a practical next step. We avoid invented benchmarks, guaranteed-ranking language, and repetitive articles created only to capture slight keyword variations. Guides are organized as a connected learning library covering AI search visibility, AEO, crawler accessibility, citation readiness, brand entities, topical authority, and measurement.
How automated analysis is reviewed
The audit uses transparent heuristics applied to a limited public crawl. It can count headings, questions, schema types, contact patterns, policy pages, links, and evidence-related language, but it cannot judge every claim or understand a business like a human specialist. Reports therefore label scores as directional and recommend verification. When a result affects security, legal compliance, brand claims, or material publishing decisions, users should consult a qualified professional familiar with their site and jurisdiction.
Independence and platform relationships
AI Search Helper is an independent utility and is not affiliated with Google, OpenAI, Microsoft, Anthropic, Perplexity, or other search and AI providers. Product names are used only to describe the types of answer experiences website owners may be evaluating. We cannot submit a site for inclusion, view private platform indexes, or guarantee a recommendation. Our value is the clarity of the audit process and the quality of the educational roadmap.
Contact, corrections, and accessibility
We welcome reproducible reports about incorrect audit behavior, inaccessible interfaces, unclear guidance, and security concerns. Send a detailed message to contact@aisearchhelper.online or use the contact form. Include the relevant page, expected behavior, and what occurred, but never send passwords or confidential client data. Substantive corrections should improve both the affected page and any linked guidance that depends on it.