Overview
AI Mention tracking is a feature of LovableHTML that helps you monitor your brand's presence in AI answers.
It helps you see when your brand is cited, where competitors are getting picked instead, and which query themes need better content coverage.
What's the use case?
Teams use AI Mention tracking for:
- Monitoring AEO (Answer Engine Optimization) efforts over time
- Competitor analysis across prompts and topics
- Finding content gaps so your brand has a better chance of being cited by AI chatbots and agents
How we use it at LovableHTML
Almost 30% of LovableHTML traffic comes from AI chatbots.
We reached this by publishing genuinely helpful content in our blog, docs, and community forums. Then we track which pieces are getting picked up in AI answers, and which topics still need stronger coverage. AI Mention tracking gives us the feedback loop to decide what to improve next.
How to set it up
Let AI generate a Brand Book for your site
Start by generating a Brand Book in LovableHTML.
For AI to read and understand your pages consistently, pre-rendering should be enabled first.
Review and refine the Brand Book
Go through the generated Brand Book and correct anything inaccurate or missing.
The Brand Book is used to align mention tracking with your actual positioning. User-facing sections usually include:
- Brand identity (what you are, who you serve)
- Product/service summary (what you offer)
- Value and differentiation (why users choose you)
- Evidence and trust signals (proof points, social proof)
- Preferred language and positioning (how your brand should be described)
Improving this step makes generated prompts and mention analysis much more relevant.
Add common search queries
Add the search queries your site already gets impressions for.
If your site is new, add the phrases your potential customers would likely type into Google or AI chatbots when looking for your solution.
Generate prompts
LovableHTML generates prompts by combining:
- The search queries you added
- The Brand Book you reviewed
These prompts are what the system uses to evaluate your brand visibility in AI answers.
Review prompts and check results after 24 hours
Go through each generated prompt and adjust wording where needed.
After around 24 hours, you should start getting usable intel, including:
- Where your brand is being mentioned (or missed)
- Which competitors are being surfaced instead
- Which query clusters are underperforming
- What content gaps to prioritize next in docs, blog posts, or landing pages
This is usually the point where teams decide the next content sprint based on evidence instead of guesswork.
