Competitive Intelligence (AI)
Tracking which competitors AI models recommend in your category and how their visibility evolves over time.
AI competitive intelligence means tracking which competitors AI recommends in your category and how their visibility shifts over time. Most categories have a small "default set" of brands AI reaches for, and you want to be in it.
Explain it like I've never heard of this
Imagine asking ten friends "who makes the best running shoes?" and noticing that the same three brands keep coming up. Those three own the conversation, everyone else is an afterthought.
AI competitive intelligence is doing that on purpose, at scale, with AI. You ask the same questions about your whole category and watch which brands the AI names, how often, and in what order, then track how that shifts month to month.
"AI competitive intelligence" answers: in my category, who does AI recommend, and am I winning or losing that race?
Words you'll see, in plain English
These terms come up whenever people compare brands inside AI. Here's what each means.
Tracking which rivals AI recommends in your category, and how that changes over time.
The small group of brands an AI tends to name first in a category, the ones it 'defaults' to.
Your slice of all brand mentions in a category compared with competitors.
The role the AI assigns a brand, 'best for enterprise' vs 'best for startups'.
A brand the model has only recently started naming, signalling rising momentum.
Which sources the AI leans on when recommending each brand.
Why it matters
Most categories have a small group of brands AI models default to. Knowing that default set, and where each player is gaining or losing ground, tells brand teams where their narrative is breaking through and where a competitor has captured the model's attention.
What to track
Four signals tell you whether you're closing the gap or falling behind.
Share of voice over time
Watch how your slice of category mentions trends against rivals. A steady climb means your narrative is breaking through.
New entrants the model names
Spot brands the AI has only recently started recommending, early warning of a competitor gaining momentum.
Drops in competitor visibility
When a rival's presence falls, the model has space for a new default. That's a window to push your content.
Differences in framing
Note who the model calls 'best for enterprise' vs 'best for startups'. Framing decides which buyers you win.
Your AI competitive intelligence checklist
- The same prompt set runs against you and your competitors
- You know the category's default set of brands
- Share of voice is tracked over time, not just once
- New entrants the model names are flagged early
- Competitor visibility drops are treated as opportunities
- Framing differences (who's 'best for X') are monitored
See how your brand performs across AI assistants
Strajist tracks your visibility, share of voice, and citations across ChatGPT, Gemini, Claude, Perplexity, and more.
Start free trialRelated terms
The percentage of AI answers in a defined category in which a brand is mentioned, relative to its competitors.
The continuous practice of measuring brand presence, sentiment, and citations across AI assistants, the AI equivalent of traditional brand monitoring.
The percentage of tracked AI prompts in which a brand is named at least once.
The discipline of measuring how AI models describe, categorize, and contextualize a brand, and which sources shape those descriptions. One layer beneath visibility tracking.
Whether AI-generated answers describe a brand in positive, neutral, or negative terms.
Designing and refining the set of prompts used to test AI visibility, so that the prompts reflect real buyer questions and produce stable, comparable results.