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.

Why Perplexity Doesn't Mention My Brand | AiVIS.biz

Perplexity is one of the most citation-heavy AI answer engines — it explicitly links to sources. If your brand is never cited, the problem is not relevance. It is extraction readiness.

How Perplexity selects sources

Perplexity uses PerplexityBot to crawl content and combines it with real-time web search results. When generating an answer, it retrieves candidate sources, evaluates extraction quality, and cites the sources it can most reliably attribute claims to.

Pages with clear entity identity (Organization schema), verifiable dates, and specific claims are cited more frequently than generic, unstructured content.

Common reasons Perplexity skips your brand

PerplexityBot is blocked in robots.txt. Your site has no Organization or Article JSON-LD. Your content is too generic to extract specific, citable claims. Your page uses client-side rendering and delivers an empty HTML shell.

Perplexity also de-prioritizes sources with thin content or missing publication dates. If your article has no datePublished property, it may be treated as undated and deprioritized against timestamped alternatives.

How to get cited by Perplexity

Allow PerplexityBot in robots.txt. Add Organization, Article, and FAQ JSON-LD. Include datePublished and author metadata. Write content with specific, verifiable claims rather than generalized advice. Run an AiVIS.biz audit to identify and fix the specific extraction failures.

Frequently Asked Questions

Does Perplexity use a different crawler than ChatGPT?: Yes. Perplexity uses PerplexityBot, ChatGPT uses GPTBot. Each has independent crawl behavior and robots.txt directives. You need to allow both separately.
Can I test if Perplexity would cite my content?: AiVIS.biz citation testing (Signal tier) evaluates whether your brand appears in AI answers and reports mention presence, position, and overlap with competitors.