Brand mention rate
How often the brand appears for tracked prompts across each engine, buyer intent and topic cluster.
AI Brand Mention Tracking
The Enough Agency tracks where your brand is mentioned, missed, cited and recommended in AI-generated answers — across ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews, with fixed prompt sets, competitor share-of-voice, mention rank, citation evidence, source mapping and business-impact reporting.
Bring your brand, competitors, priority categories, target prompts, key pages and reporting needs. We define the prompt universe, engine set, sampling cadence and mention metrics on the strategy call.
Why Mentions Need Discipline
AI brand mention tracking answers the first executive question: are we appearing when buyers ask AI about our category? It also shows the harder follow-ups: who appears instead, which prompts are missing us, and whether the brand is named with enough prominence to influence a shortlist.
The Enough Agency builds mention tracking as a measurement system. We sample the same prompts across engines, separate mentions from citations and recommendations, benchmark competitors, and connect movement to the content and authority signals that can be improved.
What We Track
How often the brand appears for tracked prompts across each engine, buyer intent and topic cluster.
Whether the brand is named first, named in a shortlist, buried below competitors or only mentioned incidentally.
How your brand’s mention share compares with direct competitors, category leaders and default AI recommendations.
Which answers cite your owned pages, third-party mentions, reviews, authority articles or competitor sources.
Whether the mention includes the correct category, service, positioning and context, or just a vague name drop.
AI referrals, branded search lift, assisted conversions and qualitative sales feedback attached to mention trends.
Tracking Method
Build the prompt universe, competitor set, engines, markets, topics and scoring fields for the tracking program.
Run repeated checks and score mention presence, rank, recommendation status, citations, source evidence and description accuracy.
Normalize results against competitors and prior cycles so the team sees real gains, losses and unanswered opportunity prompts.
Translate mention gaps into content, authority, citation, entity and messaging actions, then re-test in the next cycle.
What You Receive
Initial brand mention rate, recommendation share, average mention rank and prompt coverage across priority AI engines.
Evidence showing which competitors are named instead of you, where they dominate and which prompts are open for displacement.
The sources attached to brand mentions, including owned pages, authority articles, reviews, forums, profiles and competitor pages.
Questions where the brand should appear but does not, grouped by buyer intent, topic, product, market and competitor pressure.
Weekly or monthly trends for mention rate, share of voice, citation share, sentiment, accuracy and answer prominence.
AI-referred sessions, branded search movement, assisted conversions and pipeline signals connected to mention growth where data is available.