AI visibility checker
Enter a brand, keyword, website, and email. I will simulate a RAG-style visibility check with Gemini, scrape the submitted website, retrieve the most relevant evidence, and send the report to your inbox.
What the report measures
The report now combines prompt simulation, website retrieval, competitor comparison, content gaps, and LLM readiness signals. It is still a diagnostic snapshot, not a guaranteed AI ranking.
Prompt visibility
Runs a small set of generic and brand-check prompts, stores the full answer, and only marks a mention when the brand is visibly present in the response.
Website retrieval
Scrapes the submitted page, extracts visible copy, headings, meta description, JSON-LD, FAQ patterns, definitions, and answer-shaped sentences.
Similarity metrics
Embeds the brand plus query and compares it with page chunks, H1, H2/H3 headings, meta description, above-the-fold copy, and body text.
Competitor comparison
Compares the submitted page with manually entered competitors or discovered candidates, showing match delta and topics competitors cover more clearly.
LLM readiness
Checks structured data fields, schema types, FAQ/Q&A patterns, definition patterns, named entities, and short answer-style sentences that AI systems can reuse.
Email action report
Turns the evidence into a scored email report with website summary, content gaps, section scores, competitor signals, prompt results, and prioritized recommendations.
Answer clarity
Looks for sentences that directly answer user questions, because AI systems often prefer copy that is short, specific, and easy to cite.
Content gaps
Finds important topics that are missing or thinly explained, especially where competitors have clearer and more useful content.
On-page evidence
Checks whether the page includes concrete proof points: services, locations, pricing, results, references, FAQs, and other trust signals.