Brand Monitoring
I build AI agents that track how your brand is perceived across review sites, forums, social media, and community discussions. These agents surface reputation risks early, aggregate customer feedback into actionable patterns, and monitor how you stack up against competitors in public perception.
Your brand is being discussed where you are not looking
Customers, prospects, and competitors shape your reputation in places most companies never check.
Most organisations monitor their social media channels and maybe check Google Reviews occasionally. But brand perception is shaped in Reddit threads, comparison forums, Glassdoor reviews, industry Slack communities, and niche discussion boards. A critical product review on a specialist blog can influence buying decisions for months before your team even notices it exists.
The agents I build cast a wide net across these channels and apply intelligent filtering. They distinguish between a one-off complaint and an emerging pattern, between a competitor's astroturfing and genuine customer frustration. What reaches your team is curated, contextualised, and prioritised — not a raw dump of every mention.
Review and feedback aggregation
Collecting, structuring, and analysing customer feedback from every platform that matters.
Multi-platform review collection
Agents that pull reviews from Google Business, Trustpilot, G2, Capterra, app stores, Amazon, and any other platform relevant to your business. New reviews are captured as they appear, tagged by platform and date, and added to a centralised database that your team can search and filter.
Theme extraction and categorisation
Rather than making someone read every review, the agent extracts recurring themes — common complaints, frequently praised features, requested improvements, and service issues. These themes are tracked over time so you can see whether a particular issue is growing or resolving.
Feedback routing
Different types of feedback need different responses. Product complaints route to the product team, service issues to support, pricing concerns to sales leadership. I configure agents to classify feedback and push structured summaries to the right teams through their existing channels — Slack, email, or project management tools.
Response opportunity identification
The agent flags reviews and comments where a response would be valuable — a detailed negative review that could be turned around with a thoughtful reply, a question from a prospective customer, or a positive review worth amplifying. It prioritises these by potential impact so your team responds where it matters most.
Reputation risk and competitor tracking
Early warning systems for brand threats and continuous monitoring of your competitive positioning.
Real-time reputation risk alerts
Agents that detect potential reputation issues as they emerge — a viral negative post, a trending complaint thread, misleading content gaining traction, or a factual error being shared widely. The agent assesses severity based on reach, velocity, and sentiment intensity, then escalates through the appropriate channel. Your team gets hours of lead time to prepare a response.
Crisis signal monitoring
Beyond individual incidents, the agent watches for patterns that indicate a brewing crisis — a steady increase in a specific complaint type, coordinated negative activity, or media coverage that's shifting from neutral to critical. These slow-burn signals are harder to spot manually but the agent tracks them continuously and flags when thresholds are crossed.
Competitor perception tracking
I build agents that monitor how your brand is positioned relative to competitors in reviews, comparison articles, forums, and social discussions. The agent tracks which competitors are being compared to you, what the win/loss narratives are, and how relative perceptions shift over time. This intelligence feeds directly into positioning and messaging decisions.
Market positioning reports
Periodic reports that show your brand's position in the competitive landscape based on public perception data. These include share-of-voice metrics, sentiment comparisons, feature-level competitive analysis drawn from user reviews, and trend lines showing how positioning has shifted quarter over quarter.
Customer perception analysis
Understanding not just what customers say, but how they think about your brand and what that means for strategy.
Brand language analysis
The agent analyses the specific words and phrases customers use when discussing your brand. Are they describing you as "reliable" or "cheap"? "Innovative" or "complicated"? This linguistic mapping reveals how your brand actually lives in customers' minds versus how your marketing positions it — and highlights gaps worth addressing.
Value perception tracking
Monitoring of how customers perceive your value proposition over time. The agent tracks whether customers associate your brand with the qualities you're targeting — premium quality, ease of use, expert support, or whatever your positioning centres on. When perception drifts from intent, the data shows it clearly.
Expectation gap identification
By comparing marketing claims against customer feedback, the agent identifies gaps between what you promise and what customers experience. These gaps are the most actionable brand insights — they show exactly where messaging needs adjustment or where product and service delivery needs improvement.
Segment-level perception
Different customer segments may perceive your brand very differently. Enterprise customers might love your reliability while SMB users find the same product overengineered. The agent segments feedback by customer type, geography, use case, or any other dimension you define, revealing perception patterns that aggregate analysis would miss.
Ready to see your brand the way your customers do?
Tell me what you need to monitor and I'll build agents that keep you ahead of perception shifts.