3 Competitive Analysis AI Agents, Live in Production.
3 live agents automate competitive analysis within marketing. 1 runs on a schedule and 2 run on demand. Each one publishes the inputs it needs, the steps it works through and what it hands back.
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Competitor News Aggregation
Sweep recent public news for each competitor you watch, reduce it to what actually changed, and say what it means for us.
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GTM Strategy Analysis
Compare a competitor's public go-to-market — how they position, who they target, what they lead with — against ours, and name the openings worth taking.
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Social Media Sentiment Analysis
Read what is being said publicly about a competitor, score the sentiment, and name the themes driving it. Reads public web and news results — not a social platform API.
Reducing competitor noise to what actually changed
Competitive monitoring usually produces a newsletter. Someone collects mentions, arranges them by competitor, and circulates a digest that everyone skims and nobody acts on — because the digest reports events rather than changes, and most events are not changes. A funding round, a new hire and a rebrand all appear at the same weight, and the one that shifts your positioning is buried among the ones that do not. The deeper problem is that comparison rarely happens. Analysis stops at describing what the competitor does; connecting it to what you do, and naming the specific opening that creates, is the step that would make it useful and the step that requires effort nobody has budgeted.
These agents make the reduction and the comparison explicit. Competitor News Aggregation sweeps recent public news for each competitor you watch, reduces it to what actually changed, and says what it means for you — three stages where most processes only do the first. GTM Strategy Analysis compares a competitor’s public go-to-market against yours — how they position, who they target, what they lead with — and names the openings worth taking. Social Media Sentiment Analysis reads what is being said publicly about a competitor, scores the sentiment and names the themes driving it, working from public web and news results rather than a social platform API — a limitation worth knowing, because it means the reading is of published discussion, not of a full social firehose.
What this moves
- Competitor updates that carry a conclusion
- News is reduced to what actually changed and what it means for you, rather than circulated as a digest nobody acts on.
- Positioning openings identified
- A competitor's public go-to-market is compared against yours explicitly, which turns observation into a list of gaps worth taking.
Marketing
How AI agents handle competitive analysis
Drawn from the 3 agents above — what they require, how they run, and what comes back.
What they need
- Watch list
- Our positioning
- Who and where
- What to listen for
What comes back
- By competitor
- The weekly read
- Where each of us is stronger
- Language they own
- Openings and exposures
- What to do about it
- What this was read from
- Sentiment
How they run
- Runs on a schedule
- 1
- Run on demand
- 2
- Steps per run
- 2–3
- Credits per run
- 6–8
Where competitive analysis fits in marketing
Competitor tracking, market monitoring and content briefs are the slow part of a campaign. Agents keep that running continuously, so a launch is not waiting on someone to go and read things.
Next Step
Deploying competitive analysis agents
These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.