What is AI search visibility and why does it matter?

AI search visibility is the degree to which an AI system; such as ChatGPT, Perplexity, Claude or Google Gemini Overviews; can parse, trust and cite your website content in generated answers. A page that scores poorly for AI search visibility is unlikely to appear as a source or citation in AI generated responses, regardless of its traditional search ranking. AI search visibility depends on structured data quality, heading clarity, content depth, metadata completeness and machine readable formatting.

How does AiVIS.biz calculate a search visibility score?

AiVIS.biz runs a multi-stage audit pipeline: it crawls the target URL with a real browser, extracts structural signals (headings, schema, meta tags, body content, links), runs technical checks, then passes the evidence to a primary AI model for scoring. On Signal and Score Fix tiers, a second AI model peer-critiques the findings and a third validates the final result. The 0-100 CITE LEDGER score is a weighted composite across seven dimensions: Schema and Structured Data (20%), Content Depth (18%), Technical Trust (15%), Meta Tags and Open Graph (15%), AI Readability (12%), Heading Structure (10%), and Security and Trust (10%). Each finding is tied back to real page evidence.

What is the difference between AiVIS.biz and traditional query and answer engine tools?

Traditional SEO tools optimize for search engine crawlers and ranking signals like backlinks or keyword density. AiVIS.biz focuses specifically on answer engine readiness; whether AI systems can extract, trust and cite your content in generated responses. AiVIS.biz evaluates machine readability, entity clarity, schema coverage and citability rather than link authority. Every recommendation is evidence-linked, meaning it references the specific crawled signal that triggered it, not a generic checklist. The platform also tracks brand presence across citation sources and discussion platforms: Answer Engine Optimization (AEO).

What sources does brand mention tracking monitor?

Brand mention tracking scans 19 public sources: Reddit, Hacker News, Mastodon, DuckDuckGo site search, Bing site search, Google News RSS, GitHub repositories, Quora, Product Hunt, Stack Overflow, Wikipedia, Dev.to, Medium, YouTube, Lobsters, Bluesky, Twitter/X, Lemmy and GitHub Discussions. Available on the Alignment tier and above.

What plans does AiVIS.biz offer and what is included?

AiVIS.biz offers five tiers. Observer (free) includes 3 scans per month powered by open-weight AI models. Starter ($15/month) includes 15 scans per month with full recommendations, implementation code, PDF exports, and shareable links. Alignment (Core, $49/month) includes 60 scans per month with paid AI models, competitor tracking, brand mention scanning, reverse engineering tools, and WebMCP access. Signal (Pro, $149/month) includes 200 scans per month with a triple-check pipeline, citation testing, niche ranking, scheduled citation tests, team workspaces with 25 seats, full MCP/API access, and white-label reports. Score Fix (AutoFix PR, $299 one-time) uses higher capacity models and generates automated GitHub PRs with 250 credits.

ChatGPT Gets My Site Wrong — Fix AI Misrepresentation | AiVIS.biz

ChatGPT describes your company incorrectly, misrepresents your services, or confuses you with someone else. This is not a model error — it is an entity signal failure on your site.

Why ChatGPT generates wrong information about you

ChatGPT reconstructs answers from extracted signals. If your Organization schema is incomplete, your business name is inconsistent across pages, or your company lacks sameAs links to verified profiles — ChatGPT fills the gaps from its training data. Training data can be outdated, mixed up with other entities, or simply wrong.

The model is not lying. It is doing its best with incomplete extraction inputs. Fix the inputs and the outputs improve.

The specific signals that determine what ChatGPT says about you

Organization JSON-LD: name, legalName, url — establishes canonical identity.

sameAs links: LinkedIn, GitHub, Twitter/X, Product Hunt, Crunchbase — connects your domain to verified off-site identity.

foundingDate and description — prevents ChatGPT from applying stale training data about similar entities.

Consistent naming: the exact same entity name across every page, in JSON-LD, in body copy, and in metadata.

AiVIS.biz audits all of these and identifies which are missing, inconsistent, or incomplete.

Frequently Asked Questions

Can I report wrong information to ChatGPT?: OpenAI has a feedback mechanism but no guaranteed correction timeline. The more reliable path is fixing your own extraction signals — when ChatGPT recrawls, the corrected signals flow into responses.
What if ChatGPT uses correct information from an old version of my site?: Add dateModified to your schema and update your sitemap timestamp. This signals to GPTBot that content has changed and increases the probability of a fresh crawl.