Find out how likely ChatGPT, Perplexity, and other AI tools are to cite your brand. Takes 60 seconds.
β 5 questions β ~60 seconds β Instant results
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Solid foundation, room for optimization
Get a full analysis with competitor benchmarks and actionable roadmap.
Get a Custom LLM Audit βFour steps. Sixty seconds. A clear score, not vague advice.
Add your brand and an optional topic to focus the check.
Five quick questions, mapped to how AI engines pick sources. No login.
A 0 to 100 score with a breakdown across all five signals.
Add a work email to see your top fixes and a how-to guide.
Five signals decide whether AI engines cite you. Here is what each one checks.
Original research and proprietary data AI engines can't find elsewhere.
Mentions in Wikipedia, analyst reports, and major publications.
Schema markup that lets AI engines parse and extract your pages.
Links from .edu, .gov, and respected industry sites.
Comparison and in-depth content that fully answers a topic.
Five signals.
One 0–100 score.
So you fix the right thing first.
Buyers ask AI engines for shortlists before visiting a site. When AI answers, it cites a few trusted sources. You are either in that set or invisible.
Of B2B buyers now use LLMs during their buying process. 6sense, 2025 Buyer Experience Report
Growth in generative AI traffic, January 2024 to December 2025. WebFX
Three bands on a 0 to 100 scale.
| Score | Band | What it means | What to do next |
|---|---|---|---|
| 0–40 | Needs Work | Few trust signals yet. | Build original content and authority first. |
| 41–70 | Good | Solid base, uneven signals. | Fix your two weakest signals first. |
| 71–100 | Strong | Well positioned to be cited. | Maintain content, schema, and links. |
Cited brands stay visible as search shifts.
Strong signals earn citations in ChatGPT, Perplexity, and Gemini.
AI-referred visitors arrive ready to convert.
The gap between average and excellent is large and winnable.
A 0 to 100 measure of how likely AI engines like ChatGPT, Perplexity, and Claude are to cite your brand, across five signals.
Yes. Enter any brand name to benchmark which authority signals it leans on and where a gap exists for you.
It is directional, not a full audit. It reliably flags which signals are strong and which are weak. A custom audit adds competitor and page-level detail.
Quarterly is practical, plus a fresh check after any major content, schema, or link-building push.
Start with the two lowest signals, since they cap your visibility. Then publish original content, earn links, add schema, and deepen coverage.
Across five signals AI engines use to pick sources: content authority, brand recognition, machine-readable structure, backlink authority, and coverage depth.
A custom LLM visibility audit adds competitor benchmarks and a prioritized roadmap, like the Fortinet GEO program. The score is the start. The roadmap is where visibility is won.
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