Brand Monitoring
Feature Overview
AI-powered brand monitoring: based on the sources, competitors, and lookback window you choose, SellingPilot scans public discussions and risk signals and generates a Brand Insight Report. Useful if you worry about reputation crises or want to compare competitor buzz.
How to Open
Top menu: Marketing > Marketing Strategies > Brand Monitoring
What to Fill In
| Field | Purpose |
|---|---|
| Main brand | Required—the brand to monitor |
| Competitors | Optional, up to 5, for side-by-side comparison in the same report |
| Sources | Reddit, Google News, YouTube (select at least one) |
| Lookback window | Last 1–90 days |
| Crisis keywords | Custom risk terms (e.g. recall, lawsuit, fraud, fine) |
| Report alert thresholds | Two percentage thresholds for sentiment and crisis (defaults are suggested; adjust for your business) |
How to Use (4 Steps)
- Enter the main brand (required); add competitors and crisis keywords as needed.
- Select sources, then set lookback days and alert thresholds.
- Click Generate Report and check progress/status in Historical Reports on the right.
- When status is complete, open the full insight report via the report icon on the card; use Refresh to update the list.
What’s in the Report
A full report typically includes the modules below (from a one-time run; length varies with sample size):
1. Scope and overall alert
The header summarizes this run: main brand, competitors, date range, sources, crisis keywords, and negative-sentiment / crisis thresholds. It also shows an overall alert status (e.g. Normal / Warning / Crisis) with a short reason (for example: small sample but high negative share, or competitor risk topics that could spill over).
2. Cross-platform mentions and visibility
Approximate mention volume by brand over the lookback window, broken down by Reddit, Google News, YouTube, and similar channels. Use this to compare who is talked about more—not as total internet volume. The report usually also explains whether your brand’s share comes more from communities or media, whether competitors are stronger in news, and why a channel may show 0 when samples are thin.
3. Sentiment
Infers positive / neutral / negative share from titles and summaries, plus an overall score (e.g. out of 10). Each brand includes typical source notes, such as:
- Positive: new products, pricing, official campaigns, capability-building content
- Neutral: earnings, listings/restocks, factual industry coverage
- Negative: third-party seller disputes, suspected scams, hard-to-reach support, shipping-origin concerns, counterfeits / regulation / lawsuits, etc.
This helps you see whether your brand looks like a “community word-of-mouth long tail,” or more like competitors’ “media event–driven” patterns.
4. Trends and peak drivers
Shows how mentions distribute over time in the lookback window, marks peak periods, and explains what drove them (e.g. a competitor surge from regulation / food safety / cybersecurity coverage; your brand may instead show scattered UX posts). Helps you tell one-off cases from sentiment waves worth watching.
5. Hot topics / keywords
Induces frequent topics from cross-platform titles and summaries (brand names themselves are usually de-emphasized). Themes often land on transaction experience—third-party sellers, scam/fraud, ship-from-China, support contact, order status—and contrasts narrative differences: your brand may skew to the purchase decision chain, while competitors skew to supply chain, compliance, or security/geopolitical themes.
6. Competitor share of voice (SOV)
Within the same retrieval sample, computes each brand’s mention share (Share of Voice) and a short takeaway: who leads in volume, whether your brand relies more on community buzz, and whether competitors are more likely to spike negatively in regulation/safety cycles.
7. Crisis and threshold assessment
Counts hits against your crisis keywords, then combines your brand’s negative share with the warning/crisis thresholds to produce an alert conclusion. Notes may cover: direct keyword hits, “related risk narratives” that did not match the exact terms, and why overall status may still be Warning when the sample is small.
8. Recommendations and next steps
Actionable next steps—for example: triage community negatives by ticket type, strengthen official/authorized-seller visibility, expand high-risk monitoring terms, counterbalance community buzz with credible media content, and watch whether competitor risk topics spill over to your brand.
9. Top Mentions (excerpts)
Representative mentions for your brand and competitors, with title/summary, source channel, sentiment label, and links to the original items so you can verify and follow up.
Notes
- Generation may take a moment; check Historical Reports for progress and results.
- Remaining usage credits are shown on the page—use them wisely.
- More complete inputs (especially competitors, crisis keywords, and a sensible lookback window) usually produce reports closer to your business.
- Mention counts and shares are estimates from the retrieval sample—good for comparison, not absolute internet totals.
FAQ
Q: Generation failed?
A: Check required fields such as main brand and sources, then retry. If it still fails, try a more specific brand name, adjust crisis keywords, or shorten the lookback window.
Q: Where is history? How do I open the full report?
A: Use the Historical Reports list on the right of the same page—click Refresh if needed. When status is Completed, open the full insight report via the report icon on the card.
Q: How should I read overall alerts (Warning / Crisis)?
A: The system combines negative-sentiment share with your thresholds and crisis-keyword hits. When the sample is small or negatives cluster in one channel, the report may note that manual verification is needed—review the threshold assessment and Top Mentions together, not the status tag alone.