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<\/a><\/p>\nShare of voice (SOV) is one of the clearest leading indicators of whether a brand is gaining or losing visibility long before it shows up in the pipeline. The problem is that most teams measure it inconsistently, compare apples to oranges across channels, and end up with dashboards that no one acts on.<\/p>\n
This guide is designed to change that. It breaks down what each type of SOV actually measures across SEO, social, paid, and emerging AI search, which tools are worth the investment at different stages of growth, and how to avoid common measurement pitfalls \u2014 including the growing issue of AI-driven share of voice bias. It also shows how to connect visibility metrics to CRM, attribution, and revenue outcomes that leadership actually cares about.<\/p>\n
Table of Contents<\/strong><\/p>\n <\/a> <\/p>\n Share of voice is the percentage of visibility a brand earns compared with competitors in a defined market or channel. In plain English: Out of all the conversations, impressions, and results happening in a business\u2019s category, how much of that attention is going to it?<\/p>\n Share of voice tools measure competitive visibility across channels such as search, social, PR, retail media, and answer engines. The definition sounds simple. The complexity lies in the fact that \u201cvisibility\u201d means something fundamentally different across channels, which is exactly why so many SOV reports mislead rather than inform.<\/p>\n Here\u2019s a quick breakdown of the core SOV types and when they matter most:<\/p>\n A note on growth stage relevance:<\/strong> Early-stage startups typically get the most signals from social SOV and SEO SOV \u2014 they\u2019re the fastest to move and the easiest to act on. Mid-market teams often need to add PR SOV as a brand-building lever. Enterprise teams are now adding AI SOV to their measurement stack, and frankly, the mid-market teams that start tracking it now will have a meaningful head start.<\/p>\n HubSpot AEO<\/a> helps marketers quantify AI share of voice by showing how often their brand appears in AI-generated answers compared to competitors across a defined prompt set, making competitive gaps immediately visible.<\/p>\n <\/a> <\/p>\n The core share of voice calculation is consistent across channels, even if the inputs vary:<\/p>\n Share of Voice (%) = Your Brand Metrics \u00f7 Total Market Metrics \u00d7 100<\/strong><\/p>\n For SEO, \u201cyour brand metrics\u201d means estimated organic clicks or impressions for a tracked keyword set. For social, it means brand mentions. For PR, it means the volume of a brand\u2019s media coverage. The formula is always the same; the data source changes.<\/p>\n Teams get confused \u2014 and occasionally panicked \u2014 when two tools report different SOV numbers for the same brand. This happens for three main reasons:<\/p>\n None of these discrepancies means the tool is wrong. They mean marketers need to standardize their measurements before benchmarking.<\/p>\n It\u2019s best to build a competitive analysis template<\/a> before starting, so SOV measurements align with how a team is already thinking about the competitive landscape.<\/p>\n Defining a brand\u2019s competitive set upfront prevents one of the most common SOV reporting mistakes: comparing it to a different set of competitors each quarter and calling the change \u201cprogress.\u201d<\/p>\n <\/a> <\/p>\n SEO share of voice tracks a brand\u2019s relative organic visibility for a target keyword set. Organic share of voice uses non-paid search visibility as its measurement base \u2014 meaning marketers and SEO strategists are measuring the percentage of organic clicks or impressions they capture versus all the organic clicks available for their tracked keywords.<\/p>\n The formula in practice:<\/p>\n SEO SOV = (Estimated organic traffic for keyword set \u00f7 Total possible organic traffic for keyword set) \u00d7 100<\/strong><\/p>\n For example, if a company\u2019s tracked keywords collectively receive 500,000 organic searches per month, and their site is estimated to capture 75,000 of those clicks based on its ranking positions and expected CTRs, its SEO share of voice is 15%.<\/p>\n Aligning keywords to personas and funnel stages is non-negotiable.<\/strong> Marketing teams may track 1,000 keywords and celebrate a rising SOV score, only to discover they\u2019re gaining visibility on informational queries at the top of the funnel while losing ground on high-intent, bottom-funnel terms their sales team actually cares about.<\/p>\n Segment the keyword set by persona, funnel stage, and product line to provide actionable SEO SOV insights.<\/p>\n Pro tip:<\/strong> HubSpot Marketing Hub<\/a> users can pipe their SEO visibility data into their marketing analytics dashboard and correlate SOV trends with organic traffic and lead volume \u2014 making it much easier to show leadership the ROI of their organic investment.<\/p>\n Semrush\u2019s Position Tracking and Market Explorer features let marketers and SEO strategists track their keyword rankings against a defined competitor set and report on their share of market within organic search.<\/p>\n It includes AI Overview detection, so teams can see when their keywords trigger Google\u2019s AI-generated answers \u2014 and whether their brand is included. Pricing starts at approximately $208\/month for small business plans.<\/p>\n Best for:<\/strong> Teams wanting an all-in-one SEO platform with SOV built in.<\/p>\n What I like:<\/strong> The ability to segment SOV by keyword group, tag sets by product line or persona, and get daily rank updates.<\/p>\n Ahrefs Rank Tracker<\/strong> includes a dedicated share of voice metric that shows an organization\u2019s visibility score as a percentage of the total available clicks for their tracked keywords. Its Brand Radar add-on (from $199\/month) extends this into AI visibility tracking.<\/p>\n Best for:<\/strong> Teams with a strong focus on link-based authority signals who want to connect organic SOV to citation strength.<\/p>\n What I like:<\/strong> The interactive graphs that show SOV over time, making it easy to correlate visibility shifts with content launches or algorithm updates<\/p>\n Moz Pro\u2019s keyword tracking and Brand Authority features offer a slightly less complex entry point for teams newer to SEO SOV measurement, with solid competitor benchmarking and automated weekly reports.<\/p>\n Best for:<\/strong> Smaller teams or those newer to SEO SOV who want a clean, guided experience.<\/p>\n What I like:<\/strong> The straightforward reporting format, which makes it easier to build leadership-facing summaries.<\/p>\n BrightEdge is the enterprise-grade choice. It was one of the first platforms to patent share of voice capabilities for organic search, and it has since added AI visibility tracking (AI Catalyst) that connects traditional SEO SOV with AI search citations.<\/p>\n Best for:<\/strong> Enterprise teams managing thousands of keywords across multiple product lines who need both organic SOV and AI SOV in one platform.<\/p>\n What I like:<\/strong> The DataMind engine, which surfaces SOV shifts in real time and ties them to content recommendations.<\/p>\n <\/a> <\/p>\n AI share of voice measures how often a brand appears in AI-generated answers through entity mentions and citations. When someone asks ChatGPT, Gemini, or Perplexity for the best tool or service in your category, your brand is either mentioned or it isn\u2019t.<\/p>\n AI SOV quantifies, over time and across a large set of prompts, how a brand\u2019s competitors compare to it.<\/p>\n The formula is simple:<\/p>\n AI SOV = (Number of AI responses mentioning your brand \u00f7 Total AI responses for your prompt set) \u00d7 100<\/strong><\/p>\n The hard part isn\u2019t the math. It\u2019s building a prompt set that actually reflects how buyers think and avoiding the measurement traps that produce a number that looks meaningful but isn\u2019t. AI share of voice accuracy depends on a prompt set that is balanced across personas, funnel stages, and platforms.<\/strong><\/p>\n AEO features<\/a> in Marketing Hub Pro and Enterprise go further by suggesting prompt opportunities based on CRM data, campaign performance, and known customer behavior, helping teams build prompt sets that reflect real buyer questions rather than generic keyword lists.<\/p>\n I\u2019ve seen teams build prompt sets entirely from their top SEO keywords. The result is a high citation share (their blog posts are referenced) but near-zero entity mentions (their brand is never recommended). These are two different things, and they require different strategies to improve.<\/p>\n Before anything else, marketers should define the categories in which they want to win. For a B2B SaaS company, this might range from \u201cproject management software\u201d broadly down to \u201cproject management software for remote engineering teams under 50 people.\u201d<\/p>\n The specificity of the category definition determines the relevance of the prompts.<\/p>\n Pull from sales call transcripts, demo recordings, support tickets, and win\/loss interviews.<\/p>\n The questions a company\u2019s buyers ask<\/a> before they convert are almost exactly what they\u2019re now typing into ChatGPT \u2014 often more detailed and personalized than traditional search keywords. For HubSpot users, their CRM notes and conversation intelligence data are a goldmine here.<\/p>\n Reddit, G2, Capterra review threads, and industry Slack communities surface the questions buyers ask before<\/em> they know a brand exists.<\/p>\n Look for comparison prompts (\u201cTool A vs. Tool B for use case X\u201d), best-for prompts (\u201cbest [category] for [constraint]\u201d), and problem-solution prompts (\u201cstruggling with [problem], what are people doing?\u201d). Rewrite these as natural AI prompts.<\/p>\n HubSpot AEO doesn\u2019t just highlight gaps \u2014 it provides clear, prioritized recommendations for updating existing content or creating new assets to improve visibility in the prompts where competitors are currently winning.<\/p>\n Use keyword research to validate and prioritize prompts. High-volume, commercial-intent keywords often map to high-value AI prompt categories.<\/p>\n Build separate prompt clusters for: brand\/category prompts (the core), persona-based prompts (by ICP), funnel-stage prompts (awareness, consideration, decision), and competitor comparison prompts. A balanced 100\u2013200 prompt set is more reliable than an unbalanced set of 1,000.<\/p>\n A word on entity mentions vs. citations:<\/strong> Entity-based SOV counts how often a brand is recommended<\/em> as a named entity (\u201cI\u2019d suggest [Brand] for this use case\u201d). Citation-based SOV counts how often a brand\u2019s content is sourced<\/em> in an AI answer.<\/p>\n Both matter, but entity mentions are the more actionable metric for most growth teams because they directly map to brand recommendations.<\/p>\n Pro tip:<\/strong> Refresh the AI SOV prompt set at least quarterly. AI model updates \u2014 like when Google integrated Gemini 3 into AI Overviews in February 2026 \u2014 can reshuffle which brands get cited, making a previous prompt set stale.<\/p>\n Research suggests AI citations can fluctuate significantly month over month, so continuous tracking beats one-time audits. HubSpot AEO<\/a> continuously tracks AI visibility over time and surfaces changes in share of voice, helping marketers stay on top of shifts in how their brand is being represented as AI models and competitive content evolve.<\/p>\n The fastest way to establish a baseline is HubSpot\u2019s AEO Grader<\/a>. This free tool offers a snapshot of a brand\u2019s current AI visibility across platforms and identifies gaps in how AI systems represent that brand.<\/p>\n It\u2019s a strong starting point before companies invest in a more comprehensive paid platform.<\/p>\n Best for:<\/strong> Getting started, establishing a baseline, identifying quick-win content gaps.<\/p>\n What I like:<\/strong> Free to use, fast to set up, and it frames the results in terms of the specific content and authority signals you need to address \u2014 not just a score.<\/p>\n HubSpot AEO gives marketers a clear view of how their brand shows up across major answer engines like ChatGPT, Gemini, and Perplexity \u2014 along with a concrete plan to improve that visibility. It tracks share of voice at the prompt level, showing which buyer questions include a brand, where competitors are being recommended instead, and where a brand is not showing up at all. It also surfaces the sources and content types influencing AI answers, helping teams understand what actually drives inclusion.<\/p>\n Rather than stopping at reporting, the tool translates visibility data into prioritized, plain-language recommendations, making it easy to move from insight to action without deep AEO expertise.<\/p>\n Best for:<\/strong> Teams that want a fast, accessible way to understand and improve AI share of voice without committing to a full marketing platform.<\/p>\n What I like:<\/strong> Clear, actionable recommendations tied directly to visibility gaps \u2014 not just another dashboard.<\/p>\n AEO in Marketing Hub Pro and Enterprise takes AI share of voice a step further by connecting visibility insights to HubSpot\u2019s complete marketing suite. Teams can track how a brand appears across answer engines and tie that data to the CRM, so prompt suggestions and recommendations are based on actual customers, not generic keywords.<\/p>\n The key difference is execution: With AI visibility data sitting alongside campaign metrics, marketers can connect share of voice directly to demand generation.<\/p>\n Best for:<\/strong> Growth, demand gen, and RevOps teams that want to connect AI share of voice to pipeline and revenue.<\/p>\n What I like: <\/strong>Teams get AEO and SEO insights in the same platform.<\/p>\n Semrush has expanded significantly into AI visibility. Their Enterprise AIO feature monitors brand presence across ChatGPT, Google AI Mode, and Perplexity, includes share-of-voice analysis, and surfaces \u201cPrompt Volume\u201d data to help teams prioritize high-intent AI queries over high-volume informational ones.<\/p>\n Semrush customers should check what\u2019s available in their plan before purchasing a standalone tool.<\/p>\n Best for:<\/strong> Teams already on Semrush who want AI SOV without adding another vendor.<\/p>\n What I like:<\/strong> Prompt Volume segmentation, which surfaces the difference between queries with high traffic and those with high commercial intent.<\/p>\n Ahrefs\u2019 Brand Radar module tracks brand mentions across AI-generated answers and connects them to the backlink and authority signals that tend to drive AI citations.<\/p>\n Unlinked mention tracking across Reddit, TikTok, and YouTube is particularly valuable, since these \u201chuman-first\u201d platforms heavily influence LLM training data.<\/p>\n Best for:<\/strong> Teams that want to understand why<\/em> they\u2019re getting cited (or not) in AI answers \u2014 not just whether they are.<\/p>\n What I like:<\/strong> The connection between link authority data and AI visibility, which makes prioritization decisions much clearer.<\/p>\n Otterly.AI<\/strong> is a dedicated, purpose-built AI visibility platform that tracks brand mentions and share of voice across ChatGPT, Gemini, Perplexity, and other platforms. It offers prompt-level benchmarking and a free tier to get started.<\/p>\n Best for:<\/strong> Teams that want a dedicated AI SOV tool without the overhead of an enterprise SEO suite.<\/p>\n What I like:<\/strong> Free entry point and clean prompt-level reporting<\/p>\n Profound<\/strong> is an enterprise-grade AI visibility platform with deep citation tracking, brand sentiment analysis, and attribution from AI-generated traffic to the pipeline. Best for teams that need to connect AI SOV to revenue.<\/p>\n Best for:<\/strong> Mid-market to enterprise teams that need to demonstrate AI visibility ROI to leadership.<\/p>\n What I like:<\/strong> The attribution layer \u2014 most AI SOV tools<\/a> tell teams where they\u2019re visible; Profound helps them connect that visibility to business outcomes.<\/p>\n <\/a> <\/p>\n Social media share of voice measures the share of brand mentions and conversation volume across selected social platforms. The formula:<\/p>\n Social SOV (%) = Your brand mentions \u00f7 Total market mentions \u00d7 100<\/strong><\/p>\n For example, if there were 10,000 social mentions about a brand\u2019s product category last month and it was mentioned 2,500 times, its social SOV is 25%.<\/p>\n What social SOV actually captures:<\/strong> Social SOV is highly responsive \u2014 it moves within days of a campaign launch, a PR event, or a product release. That makes it a useful short-term campaign measurement tool.<\/p>\n What it doesn\u2019t capture well:<\/strong> Platform coverage gaps (a tool that monitors X, LinkedIn, and Facebook but not TikTok or Reddit will systematically undercount certain audiences), sentiment quality (volume isn\u2019t value \u2014 a spike in negative mentions can inflate SOV while damaging brand equity), and owned versus earned distinction.<\/p>\n Sprout Social\u2019s Listening capabilities offer social SOV tracking with sentiment analysis, influencer scoring, and trend detection. Its 2026 capabilities include brand health monitoring that helps teams track not just volume but also the trajectory of sentiment over time.<\/p>\n For more details on social analytics broadly, check out our guide to social media analytics tools<\/a>.<\/p>\n Best for:<\/strong> Teams running active social campaigns who need near-real-time SOV tracking with strong reporting.<\/p>\n What I like:<\/strong> The sentiment matrix that shows whether SOV growth is coming from positive or negative conversations.<\/p>\n Brandwatch provides advanced social and traditional media SOV tracking with AI-powered insights and custom dashboards. Strong for brands that want a single tool covering social media, news, and forums in one reporting layer.<\/p>\n Best for:<\/strong> Teams that want cross-channel social and PR SOV in one platform.<\/p>\n What I like:<\/strong> The demographic and geographic segmentation, which lets marketers see whether their SOV strength varies by region or audience segment.<\/p>\n Brand24 offers real-time media monitoring across blogs, forums, news, and social channels with sentiment analysis and automated SOV reports. Pricing starts at $199\/month for the Individual plan, with higher tiers for more mentions and advanced analytics.<\/p>\n Best for:<\/strong> Growing companies that want solid social and media SOV without enterprise pricing.<\/p>\n What I like:<\/strong> The influencer scoring feature, which helps marketers understand which voices are driving their category\u2019s conversation.<\/p>\n Hootsuite\u2019s native social listening integrates directly with publishing and scheduling workflows, making it a strong choice for teams that manage social execution and measurement in one platform.<\/p>\n Best for:<\/strong> Teams already on Hootsuite for social publishing who want to add SOV without another tool.<\/p>\n What I like:<\/strong> The workflow integration \u2014 seeing SOV data alongside the publishing calendar changes how marketers plan content.<\/p>\n <\/a> <\/p>\n PR and media share of voice measures earned media visibility by outlet, geography, message, and sentiment. It answers the question: Out of all the coverage happening in a brand\u2019s category, how much is about it \u2014 and how does that compare to competitors?<\/p>\n This type of SOV is, in my experience, the most underutilized by growth marketing teams.<\/p>\n Content, demand gen, and SEO teams often operate with no visibility into the earned media landscape, which means they miss a key signal: When a competitor is getting significant PR traction, it often precedes increases in branded search volume, domain authority from press links, and category awareness \u2014 all of which affect SEO and social SOV downstream.<\/p>\n Connecting PR SOV to traffic and demand:<\/strong> The workflow I recommend for growth teams is to use PR SOV data to identify when a competitor is getting outsized coverage on a specific topic, then run a branded search volume check in Google Trends or Search Console.<\/p>\n If their media traction is driving branded search, it\u2019s often worth responding with content, commentary, or your own PR push \u2014 before it shows up in your SEO SOV numbers six months later.<\/p>\n Meltwater is a leading media intelligence platform with SOV tracking by outlet, geography, and message. Its journalist-and-outlet relationship features make it useful for comms teams looking to pair measurement with outreach.<\/p>\n Best for:<\/strong> Comms-heavy teams that need both measurement and media relationship management.<\/p>\n What I like:<\/strong> The geographic SOV breakdown, which is particularly useful for brands with regional PR strategies.<\/p>\n Cision offers comprehensive PR monitoring, SOV tracking, and sentiment analysis across print, broadcast, and digital media. Strong for enterprise comms teams that need regulatory-grade coverage.<\/p>\n Best for:<\/strong> Enterprise PR and comms teams with compliance requirements.<\/p>\n What I like:<\/strong> The breadth of outlet coverage, including broadcast and print, that competitors sometimes miss.<\/p>\n Beyond social, Brand24\u2019s media monitoring extends to news sites, blogs, and forums, giving it a solid PR SOV use case for teams that don\u2019t need a full enterprise PR platform.<\/p>\n Best for:<\/strong> Growing companies that want PR + social SOV in a single, affordable tool.<\/p>\n What I like:<\/strong> The real-time alerting, which is excellent for catching coverage spikes before they pass.<\/p>\n Mention provides real-time media monitoring across the web and social channels, with SOV tracking and competitor benchmarking \u2014 a more accessible price point than enterprise media monitoring platforms.<\/p>\n Best for:<\/strong> Startups and early-stage teams that need PR SOV without enterprise spend.<\/p>\n\n
What are share of voice tools and which SOV types matter?<\/strong><\/h2>\n
How <\/strong>do share of voice<\/strong> tools calculate SOV?<\/strong><\/h2>\n
Why Vendor Numbers Differ (and Why It Matters)<\/h3>\n
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Standardization Checklist<\/h3>\n
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How to Use Share of Voice Tools for SEO<\/strong><\/h2>\n
SEO SOV Tools<\/strong><\/h3>\n
Semrush Position Tracking<\/a><\/strong><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools2c20semrush.jpg\")
<\/p>\nAhrefs Rank Tracker<\/a><\/strong><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools2c20ahrefs.png\")
<\/p>\nMoz Pro<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools2c20moz20pro.png\")
<\/p>\nBrightEdge<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools2c20brightedge.png\")
<\/p>\nHow to Measure AI Share of Voice and Avoid Prompt Bias<\/strong><\/h2>\n
Steps to Build a Reliable AI SOV Prompt Set<\/h3>\n
Step 1: Ground prompts in your competitive arena.<\/em><\/h4>\n
Step 2: Layer in first-party voice-of-customer data.<\/em><\/h4>\n
Step 3: Mine communities and forums.<\/em><\/h4>\n
Step 4: Triangulate against search data.<\/em><\/h4>\n
Step 5: Segment your prompt set.<\/em><\/h4>\n
Tools to Track AI Share of Voice<\/strong><\/h3>\n
HubSpot AEO Grader<\/a><\/h4>\n
![\"ai](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/ai20share20of20voice20tools2c20hubspot20aeo20grader.jpg\")
<\/p>\nHubSpot AEO<\/a><\/strong><\/h4>\n
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<\/p>\nHubSpot AEO in Marketing Hub<\/a><\/strong><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools2c20hubspot202.png\")
<\/p>\nSemrush AI Visibility (Enterprise AIO)<\/a><\/strong><\/h4>\n
![\"ai](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/ai20share20of20voice20tools2c20semrush20aio.png\")
<\/p>\nAhrefs Brand Radar<\/a><\/strong><\/h4>\n
![\"ai](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/ai20share20of20voice20tools2c20ahrefs20brand20radar.png\")
<\/p>\nOtterly.AI<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools2c20otterly.jpg\")
<\/p>\nProfound<\/a><\/h4>\n
![\"ai](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/ai20share20of20voice20tools2c20profound.png\")
<\/p>\nHow to Use Share of Voice Tools for Social Media<\/strong><\/h2>\n
Fast Setup Workflow<\/h3>\n
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Social Media SOV Tools<\/strong><\/h3>\n
Sprout Social<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools2c20sprout20social.png\")
<\/p>\nBrandwatch<\/a><\/h4>\n
![\"social](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/social20share20of20voice20tools2c20brandwatch.jpg\")
<\/p>\nBrand24<\/a><\/h4>\n
![\"social](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/social20share20of20voice20tools2c20brand24.jpg\")
<\/p>\nHootsuite Listening<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools2c20hootsuite.png\")
<\/p>\nWhich share of voice tools help with PR and media monitoring?<\/strong><\/h2>\n
PR\/Media SOV Tools<\/strong><\/h3>\n
Meltwater<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools20for20pr20and20media2c20meltwater.png\")
<\/p>\nCision<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools20for20pr20and20media2c20cision.jpg\")
<\/p>\nBrand24<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools20for20pr20and20media2c20brand24.png\")
<\/p>\nMention<\/a><\/h4>\n
![\"share](\"http:\/\/fliegewiese.org\/wp-content\/uploads\/2026\/04\/share20of20voice20tools20for20pr20and20media2c20mention.png\")
<\/p>\n