What manual checks are good for
Pasting a query into ChatGPT and reading the answer is free and instant. It is a great way to learn what an AI currently says about your category, spot a glaring gap, or sanity-check a single page. For a one-time look, manual is perfectly fine.
The problem is not the first check. It is the tenth, the weekly one, the one you skip because it is tedious.
What scheduled tracking buys you
A tool like BrandPulse runs your queries across the engines on a schedule and records the outcome — your mention, the competitor gap, the trend. That turns a snapshot into a line you can manage. The cost is the subscription; the gain is consistency you would not keep up by hand.
The honest trade: you trade a little money for the discipline of not skipping the check.
Coverage and consistency
Manual checks drift in coverage — you check the queries you remember, on the engine you open. Automated tracking checks the same set, on the same engines, every time. That consistency is what makes "are we gaining or losing?" answerable.
Coverage also widens: tracking 20 queries × 3 engines weekly by hand is a part-time job; automated, it is a background task.
Where human review still wins
A tool reports the outcome (who was named). It does not tell you why a model preferred a competitor, or whether that competitor's claim is even accurate. Interpreting the gap, judging intent, and deciding which page to improve — that is still human work.
So the split is clear: automate the measurement, keep the judgment.
Authoritative references
- Google Search Central: https://developers.google.com/search/docs
- OpenAI: https://openai.com/blog