Raw share of voice -- the percentage of total coverage your brand receives versus competitors -- is a starting point, not an answer. A company with 40% share of voice and overwhelmingly negative sentiment is in worse shape than a competitor with 15% share of voice and strong message pull-through. This guide covers how to build a competitive benchmarking model that gives UK comms teams an accurate picture.
Fix the Competitor Set
Choose three to six competitors and keep the set stable for at least one quarter. Changing the set every month makes trend analysis impossible.
Selection criteria:
- Direct commercial competitors (same market, same customers)
- Narrative competitors (organisations that compete for the same media attention, even if they are in adjacent sectors)
- Aspirational benchmarks (one organisation that represents best-in-class comms in your sector)
Example for a UK challenger bank: Monzo, Starling, Revolut as direct competitors, NatWest and Barclays as incumbents, and Nationwide as an aspirational benchmark for consumer trust messaging.
Document the rationale. When someone asks "why is [X] in the set?" you need a clear answer.
Quality-Weighted Share of Voice
A mention in the FT is not the same as a mention on a low-reach content farm. Weight your share of voice by outlet quality.
A simple three-tier model:
| Tier | Examples | Weight | |---|---|---| | Tier 1 | BBC, Sky News, FT, Guardian, Times, Telegraph | 3x | | Tier 2 | Trade titles (Insurance Times, Citywire, PR Week), major regionals (Evening Standard, Scotsman) | 2x | | Tier 3 | Smaller regionals, digital-only, niche blogs | 1x |
Calculation: (Sum of weighted mentions for your brand) / (Sum of weighted mentions for all brands in the set) x 100.
Most monitoring platforms -- Meltwater, Cision, Signal AI -- support custom source tiering. Set it up once and it applies to all reporting.
Message Pull-Through Benchmarking
Share of voice tells you how much coverage you got. Message pull-through tells you whether you are shaping the narrative.
Define three to five core messages for your brand and the same number for each competitor. Then measure:
- What percentage of Tier 1 coverage includes at least one of your key messages?
- How does this compare to competitors?
Example: A UK insurer found that while it had 28% share of voice (second in its peer set), only 18% of its coverage mentioned its key message around digital claims innovation. Its main competitor had 22% share of voice but 41% message pull-through on its equivalent messaging. The competitor was winning the narrative despite lower visibility.
This is the metric that tells you whether your PR activity is actually working.
Sentiment Overlay
Pair share of voice with sentiment analysis. The combination reveals four quadrants:
- High share of voice + positive sentiment: Strong position. Protect it.
- High share of voice + negative sentiment: Under attack. Investigate the drivers and prepare reactive lines.
- Low share of voice + positive sentiment: Under the radar but well-regarded. Increase activity to capitalize.
- Low share of voice + negative sentiment: Weak position. Fix the issues before increasing visibility.
Report sentiment as a trend line, not a single score. A shift from 10% negative to 22% negative over six weeks is more actionable than a static "sentiment: 3.2 out of 5."
Automated sentiment in Meltwater, Brandwatch, and Signal AI is directionally useful but not perfect. For Tier 1 coverage that drives decisions, have a human review the tone classification, particularly for UK English where sarcasm and understatement can confuse algorithms.
Momentum Analysis
A competitor gaining share of voice rapidly is more strategically important than one with a stable high share. Track the rate of change, not just the level.
Measure quarter-over-quarter change in quality-weighted share of voice. Flag any competitor that has increased by more than 5 percentage points in a single quarter -- this usually indicates a deliberate campaign push, a product launch, or a crisis at another player that has shifted attention.
Narrative Analysis
Beyond individual messages, track the broader narrative themes associated with each brand. Use your monitoring platform's topic clustering or manual tagging to categorise coverage into themes:
- Innovation and product
- Financial performance
- Regulation and compliance
- ESG and sustainability
- Leadership and culture
- Customer experience
Compare the theme distribution across competitors. If your competitor is dominating the "innovation" narrative while your coverage clusters around "regulation and compliance," that tells you something about how the market perceives each brand.
Signal AI and Pulsar are particularly strong on narrative clustering. Brandwatch handles this well for social data.
Common Mistake: The Disappearing Competitor
A UK asset manager benchmarked against five competitors for two years. One competitor was acquired and rebranded, and a new entrant appeared with significant media activity. The team continued reporting against the original set for six months after the change, producing benchmarks that no longer matched reality. When the CEO asked "who is [new entrant] and why are they everywhere?" the comms team had no data.
Review the competitor set every quarter. If a player exits the market, is acquired, or a new entrant emerges with material coverage, update the set and note the change in reporting.
Reporting Format
The benchmarking report should be one page with three sections:
1. Headline numbers: Quality-weighted share of voice for each brand, current period vs previous period, with directional arrows 2. Narrative insight: One paragraph explaining why the numbers moved (campaign activity, crisis, regulatory event, competitor launch) 3. Recommended action: One or two specific actions the comms team should take based on the data
Deliver monthly to the comms team and quarterly to leadership. The monthly version includes more detail; the quarterly version is the one-page executive summary.