Oogwai Beacon

About Oogwai Beacon

Oogwai Beacon is an AI visibility audit tool that checks how large language models actually cite and recommend a brand, rather than only analyzing technical on-page signals. It splits the audit into a free readability check and a citation report that queries ChatGPT, Gemini, and-on the full audit-Claude with unbranded buyer questions. The tool then reports how often the brand is named, who gets named instead, and which sources the engines rely on.

Review

Beacon takes a different approach from most answer engine optimization tools, which typically score HTML structure and schema markup. Instead of inferring potential visibility, it sends live, search-grounded queries to AI engines and records whether a specific company appears in the responses. The result is a gap analysis between what a site's technical setup permits and what the engines actually do in practice.

Key Features

• Readability check (instant, no sign-up): Scans robots.txt, schema, llms.txt, headings, and sitemaps to determine whether AI crawlers like GPTBot and ClaudeBot can access and parse the site.
• Citation audit: Queries ChatGPT and Gemini with unbranded buyer questions about the user's category. The full audit adds Claude. None of the questions mention the brand, so results reflect organic engine behavior.
• Per-engine reporting: Shows per-engine citation counts (named in X of N questions on ChatGPT, Y of N on Gemini) alongside combined pillar scores for Brand Visibility, Share of Voice, Average Position, and Sentiment.
• Competitor and source transparency: Identifies which competitors are named instead of the user and which sources the engines trust, so gaps can be traced to specific indexing or content issues.
• Divergence analysis: Treats disagreement between engines as a finding. For example, "Gemini names you, ChatGPT doesn't" points toward a Bing indexing or citation-source gap.

Pricing and Value

The readability check is free and does not require sign-up. Citation reports carry a real cost per run because each audit makes live, search-grounded calls to AI engines. The tool requires a work email for citation reports. Specific pricing for the full audit (which includes Claude) is not detailed on the current page, though the team mentions Stripe handles checkout and that paying for a full audit takes about a minute.

Pros

• Measures actual AI engine citations rather than scoring HTML structure alone.
• Uses unbranded buyer questions, which mirrors how real users interact with AI search.
• Separates readability from citation, so a high technical score won't mask a visibility problem.
• Shows per-engine results without averaging or smoothing the spread.
• Points to concrete fixes when divergence between engines surfaces an indexing gap.

Cons

• The tool is not well suited for teams that need historical citation trend data; it captures a point-in-time snapshot from live queries.
• Requires a work email for the citation report, which may deter individual users or consultants who prefer to use a personal address.
• Server log integration is not currently available, so tracing a missing citation to a specific crawl problem still requires a separate workflow.

Beacon fits teams that already have technical SEO coverage and want to measure whether AI engines actually recommend them in unbranded searches. It's also useful for content strategists who need to identify which competitors and sources the engines prefer, so they can prioritize fixes based on real citation patterns. The free readability check gives a low-commitment entry point before moving to the paid citation audit.