From zero to your first AI visibility score in under five minutes. This guide walks you through every step — account setup, running a check, and making sense of the results.
Head to bing.ly/login and register with your email address. No credit card is required to start — Bingly offers a free tier so you can explore the platform before committing.
Once registered you'll receive a confirmation email. Click the link inside to verify your address, then sign in. You're now in the Bingly dashboard.
Tip: use a work email. If you plan to track multiple domains for clients, a professional address keeps your workspace organised.
From the dashboard, click New Check. You'll see two required fields:
best project management softwareyoursite.comBelow those fields you'll find an AI Models selector. Choose one or more models to test against — ChatGPT (GPT-4o), Claude, Gemini, and Perplexity are all available. For a comprehensive first look, select all four.
Hit Run Check. Bingly fans out a prompt to each selected model, captures the response, and parses it for citations, prominence, and competitor mentions. This typically takes 10–30 seconds depending on how many models you selected.
When the check completes you'll land on the results dashboard. There are three main sections:
A per-model breakdown showing whether your domain was cited, how prominently it appeared (first mention, mentioned in a list, not mentioned), and which competitors were cited instead. A green tick means the model included your site; a grey dash means it did not.
Each model's understanding of what your page is about, what it would cite it for, and any gaps it identified. This is valuable even when you rank — it reveals whether the model is attributing the right topic to your site.
A single 0–100 score that combines citation rate and prominence across all selected models. This is your top-level KPI to track week over week. Learn exactly how it's calculated →
Below the scorecard you'll find Bingly's Recommendations panel. Each recommendation is labelled with a priority level:
Every recommendation includes a "Why this matters" explanation — not just what to change, but why LLMs respond to that change. Understanding the reasoning helps you apply the same principle across your whole site, not just the one page Bingly analysed.
Common recommendations include: adding an llms.txt file, clarifying entity definitions in your headings, improving schema markup, closing content gaps the models flagged, and structuring answers to be directly quotable.
AI visibility is not a one-time check — models are retrained, search behaviour evolves, and your competitors are improving their content too. Bingly stores every check you run so you can see your score trend over time.
The History view (accessible from the left sidebar) shows a timeline of checks for each keyword and domain combination. You can see exactly when your score changed and correlate it with content updates you made.
We recommend running the same keyword check once per week after making optimisations. Because LLM outputs are non-deterministic, a single data point can be misleading; the trend across multiple runs gives a reliable signal. A sustained rise of 10+ points over four weeks is a meaningful improvement.
Tip: set a recurring reminder the same day each week to re-run your top-priority keywords. Consistency in timing reduces variance from model update cycles.
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