Brand mention sweep

Twenty minutes of calls that replace a monitoring subscription for a brand that does not need one yet. Terms in, a dated mention table out, with the threads where a human reply would matter and the talking points for it.

Before you start

• Load the core routergrowth skill (https://www.routergrowth.com/SKILL.md) if it is not loaded. Confirm access with the free balance tool or routergrowth balance.
• Ask for: the brand and product names (and the misspellings people use), the founder's name and handles, three to five competitors, the category phrase, and the window (default 90 days).
• Inspect social.search, news.search, web.search and reviews.search once and show the prices. Quote the sweep: terms x platforms.

Steps

1. Terms

Brand, product, founder, each competitor, the category phrase. For each, the exact string and the common variants. Save the list; the sweep is worth repeating monthly with the same terms.

2. Social

routergrowth run -c social.search -i '{"platform":"x","query":"\"RouterGrowth\"","limit":50}' --max-cost 0.10 --wait 60

Run each term on x, reddit and linkedin first; tiktok, youtube and instagram when the brand has a consumer side. Keep: URL, platform, date, author handle, the sentence with the mention, engagement counts.

3. News and web

routergrowth run -c news.search -i '{"query":"RouterGrowth","limit":50}' --max-cost 0.05 --wait 30
routergrowth run -c web.search -i '{"query":"\"RouterGrowth\" -site:routergrowth.com","limit":50}' --max-cost 0.05 --wait 30

Web search catches the blog posts, comparison pages, directories and forum threads that social search misses. Drop the brand's own domains.

4. Reviews

routergrowth run -c reviews.search -i '{"place":"<business name, city>","platform":"google","limit":50}' --max-cost 0.10 --wait 60

For brands with a physical presence or a Google Business Profile. Skip otherwise.

5. Classify

For each mention: sentiment (positive, neutral, negative, question), type (recommendation, complaint, comparison, question, news), and whether a human reply would matter (a question with no answer, a wrong claim, a comparison where the brand is missing, a complaint). Filter the window to the last 90 days by the mention's own date, not the crawl date.

6. Talking points

For every thread flagged as reply-worthy: what the thread says, what a truthful reply would add, and the disclosure line ("I work at ..."). A human posts, or does not.

Rules

• Never post, reply, vote or engage anywhere. Draft for a human.
• Every mention carries its URL and date. Sentiment is your reading and is labelled as such; quote the sentence so the user can disagree.
• Do not compile personal information beyond the public mention itself. Handles and names stay as they appear in the public post; nothing is enriched from here.
• Every count is from a run and carries the run ID.

Output

mentions.csv (URL, platform, date, author, term matched, sentiment, type, reply-worthy, quote) and mentions-report.md: totals per term and platform, sentiment split, the competitor comparison, the reply-worthy threads with talking points, and the total charged. Save both dated, so next month's sweep diffs against them.