In 2023, "share of voice" meant how often you appeared in Google search results relative to competitors. Today, you're not just competing for rank — you're competing for mentions in ChatGPT, Claude, Perplexity, and Gemini. These four LLMs now handle 500M+ combined weekly active users. Ninety percent of teams don't measure their LLM share of voice at all. The ones that do are already moving faster. Brand monitoring in 2026 means tracking citation density, sentiment, and co-mention patterns across every major LLM, then automating the weekly report your CMO actually reads.
Why LLM Share of Voice Matters Now
LLM citations are traffic, but not in the way Google traffic is. A Perplexity cite lands a qualified researcher. A ChatGPT cite lands a decision-maker who asked the model directly. A Claude cite lands a developer or knowledge worker doing due diligence. Gemini cites are growing fast in enterprise contexts (Google Workspace integration). Each audience behaves differently post-click, but all of them bypass your organic search ranking entirely.
More important: LLM mentions affect brand perception at scale. If your competitor is mentioned 7× more often than you in Claude replies, your target audience is exposed to that competitor 7× more. LLM share of voice is your share of category definition. Measure it, and you'll spot messaging gaps before they cost you deals.
The Tools Landscape
Otterly.ai — The Lightweight Play ($39/month)
Otterly monitors your brand across Perplexity, ChatGPT (via manual sampling), and Claude. $39/month for up to 5 keywords. You get weekly mention counts, sentiment breakdowns, and a simple dashboard. No competitor tracking built-in. Best for: solo founders and small teams getting started. Turnaround is 5-7 days from launch to first report.
AthenaHQ — The Full Stack ($99/month)
AthenaHQ tracks your brand AND up to 3 competitors across all four major LLMs. Automated sentiment analysis, trend graphs, co-mention tracking (which competitors get mentioned alongside you), and keyword clustering. Integrates with Slack for weekly summaries. Best for: B2B SaaS and mid-market brands. You get real-time dashboards plus historical trending.
BrandRadar — The Enterprise Play ($500+/month)
White-label brand monitoring with custom LLM integrations. Includes API access, unlimited keywords, and dedicated support. Best for: agencies and enterprises managing 10+ brands. Overkill for most. Skip unless you're managing multiple brands at scale.
Manual Sampling — The Free Method (5 hours/week)
No budget? Run 15-20 key queries weekly across each LLM manually. Track which ones cite you, which ones cite competitors, sentiment of mentions (positive/neutral/negative), and the rank position of your citation in the source list. After 4 weeks, you'll see patterns. Repeat quarterly. It's labour-intensive but zero-cost and gives you intimate knowledge of how each model thinks about your category.
Measurement Methodology
Step 1: Define Your 20 Key Queries
Start with your 5 highest-intent keywords for your product. For each, create 4 variations: "product name" (brand), "product name + top feature" (feature intent), "product name vs competitor" (comparison intent), and "how to choose product category" (category intent). Example for a React template: "Astro 5 template", "Astro 5 template with Tailwind", "Astro vs Next.js 15", "best Astro boilerplate 2026". Twenty queries total.
Step 2: Query Each LLM Weekly
Every Monday morning, run all 20 queries through ChatGPT, Claude, Perplexity, and Gemini. Record: (1) Is your brand mentioned? (2) Position in the response (first mention, middle, late)? (3) Sentiment (your brand framed positively, neutrally, or negatively)? (4) Which competitors are mentioned in the same response? Use a Google Sheet or Airtable table. Takes 1.5 hours per week.
Step 3: Aggregate Into Weekly Scores
Calculate "mentions per 20 queries" for you and each competitor. Example: Aiden Wood brand is mentioned in 14 of 20 queries across all four LLMs (70% coverage). Staff Operations Dashboard is mentioned in 8 of 20 (40%). Velocity template is mentioned in 6 of 20 (30%). That's your weekly snapshot. Over 8 weeks, you'll see whether you're trending up or down.
Step 4: Track Co-Mention Patterns
When your brand and a competitor are mentioned in the same response, the model is offering them as alternatives. High co-mention frequency means users perceive you as direct competitors. Track whether your brand is mentioned first, last, or equally. First mention = stronger position. Last mention = weaker position.
Step 5: Report Monthly
Create a one-page dashboard: (1) Brand mention trend (8-week line chart), (2) Competitor mention trend (same), (3) Average sentiment this month (percentage positive), (4) Co-mention matrix (you vs each competitor, how often they appear together). Share it with your CMO. Use it to decide what content to publish next or what messaging to emphasise.
Reporting Cadence
Weekly sampling: Run your 20 key queries every Monday. Takes 90 minutes. Log the data.
Monthly dashboard: Aggregate the 4 weeks of data into one 1-page report. Share internally.
Quarterly deep-dive: Redefine your 20 queries if search intent has shifted. Add 2-3 new competitor brands if the landscape changed. Publish a brief on your blog about your category trends (e.g., "The State of React Templates in 2026"). Use this as a thought-leadership hook.
Annual strategy review: Plot 12 months of trend data. Decide whether to shift budget towards the LLM types that cite you most (Perplexity for traffic, Claude for B2B credibility, ChatGPT for volume). Set next year's coverage targets.
Frequently Asked Questions
Which LLM should I optimise for first?
Perplexity for raw traffic volume. Claude for audience quality (developers, designers, decision-makers). ChatGPT for scale (200M users). Gemini for enterprise. If you have to pick one, pick Perplexity — fastest feedback loop, largest growth rate, easiest to influence with fresh content.
How long does it take to move the needle?
Perplexity: 2-4 weeks if you publish high-quality content today. ChatGPT: 18+ months (training cutoff). Claude: 3-6 weeks if your content gets crawled and cited. Gemini: 4-8 weeks. Don't expect overnight gains. LLM share of voice is a long-term game. Measure quarterly, not weekly.
Can I use ad spend to boost mentions?
No. LLM citations are organic. They come from content merit, domain authority, and answer relevance. Paid ads influence Google, not LLMs. Invest in content instead.
What if I'm never mentioned in LLMs?
Your content isn't being crawled, or it's not answering the key intent for your category. Check: (1) Is your robots.txt blocking Perplexity/Claude crawlers? (2) Are your target queries too niche or too generic? (3) Is your content 18+ months old (ChatGPT training cutoff)? (4) Are competitors' answers better structured? Read our guide on cross-LLM citation strategy to audit your content.
Should I track sentiment?
Yes. A mention is a mention, but sentiment matters. If Claude mentions you negatively ("this approach is slower than alternatives"), that's worse than no mention. Track positive mentions separately. Aim for 80%+ positive mention sentiment. If sentiment is negative, your content or positioning needs adjustment.
How do I measure LLM share of voice vs competitors?
Simple: (Your mentions / Total category mentions across all brands) × 100 = your share of voice. If your brand + 3 competitors = 50 total mentions in a month, and you got 12, your share of voice is 24%. Compare that month-over-month. Upward trend = winning.
The Bottom Line
LLM share of voice is measurable, actionable, and now table-stakes for B2B growth teams. Pick a tool (or use manual sampling) and commit to 4 weeks of weekly tracking. You'll see patterns emerge. Then use those patterns to inform your content calendar, product messaging, and competitive positioning. The brands tracking LLM share of voice in mid-2026 will have a 6-month advantage on competitors still optimising for Google alone. See our pricing for hands-on help implementing this measurement framework. The data's already there. You just need to measure it.