Guide

How to monitor competitors with AI

Set up automated competitor monitoring in four steps: choose a small list of named competitors rather than keywords, connect the sources those competitors actually post to, deduplicate before anything alerts, and review the output weekly for a month so the scoring can be tuned. The common mistake is starting with keyword alerts, which see news and miss pricing pages, job boards and filings entirely.

Step one: pick the list, and keep it short

Name the competitors that appear in your actual deals. For most teams that is three to eight companies. Add an adjacent name only if a move by them would change something you do.

Companies, not keywords. A named company can be followed across every source at once: their pricing page, their boards, their filings, their newsroom. A keyword can only be followed through text that happens to contain it, which is news and almost nothing else.

Step two: wire the sources in this order

Ordered by value delivered per hour of setup:

  • Pricing pages. Highest impact, and archived captures give you history immediately.
  • Job boards. Six public boards cover most software companies; the posting date is the signal.
  • Filings and registers, where the competitor is a filer.
  • Their own newsroom or RSS feed. The company speaking for itself.
  • Documentation and changelog pages, which usually move before an announcement.
  • News last, and only with hard deduplication in front of it.

Step three: deduplicate before you alert

Cluster coverage of the same event and send one item that says how many independent sources carry it. Without this, one competitor announcement produces a dozen notifications and the recipients mute the channel inside a week.

Step four: tune with a weekly review

For the first month, spend ten minutes a week reading not just what arrived but what was held back. The discards tell you whether the scoring matches your judgement, which is the only way to calibrate it.

Two questions each week: did anything arrive that wasted my time, and did I learn about anything from a customer that should have arrived here? The first tunes the threshold up, the second tunes it down or adds a source.

Where QuikSignal fits

In QuikSignal this is a watch list of named companies and a schedule. The sources above are read for each of them, clustering happens before scoring, and the held-back log is visible so the weekly review has something to review.

Cadence depends on plan: weekly on the entry plan, every six hours on the middle one, every four on the top.

See it on your own market →

What it does not do
  • It reads named sources. It cannot see an unannounced product or an internal decision.
  • No social listening, and no private community monitoring.
  • It will not write your battlecard positioning for you. It keeps the facts underneath one current.
Questions

What people ask

How long before it is useful?
Pricing history and existing job postings are available on the first run, so the first brief has content. The change detection needs a second capture, which means a day or a week depending on cadence.
Can I monitor a private company?
Partly. No filings, but job boards, pricing pages, documentation and announcements are usually all public, and for most purposes those carry more signal than filings do.
What should I do with the output?
Route it to one place a person reads, and regenerate the artefact sellers use from it. Monitoring that lands nowhere is monitoring that stops.

Read your own market the same way.

Eleven agents, the companies you choose, every night, with the document behind every line.