Best AI Tools for Monitoring Brand Share of Voice in AI vs. Classic SERPs

In 2025, your brand isn’t just fighting for blue links on Google.

It’s fighting for space inside AI Overviews, LLM answers, and chatbot recommendations—the exact places where customers now get “the answer” and never scroll further.

👉 The problem?

Most traditional SEO tools barely track your brand visibility in AI search. You might be winning classic rankings and still losing mindshare inside AI-generated answers.

That’s where share of voice (SoV) comes in.

SoV shows how often your brand appears versus competitors across AI-generated answers and classic SERPs, so you can see who actually owns the conversation in your category. If you’ve never run a brand visibility audit with LLMs, you’re likely flying blind in these new surfaces.

In this guide, you’ll:

• Discover the top AI visibility and SoV tools for AI Overviews, LLMs, and classic SERPs
• See how they differ (features, data sources, use cases)
• Learn how to build a measurement stack that actually reflects how customers discover you today

If you’d rather have specialists build and run this stack for you, our SaaS SEO agency can plug in SoV tracking across AI and organic search and turn it into pipeline, not just dashboards. You can also contact our experts to review your current reporting setup.

Best AI Tools for Monitoring Share of Voice in AI Answers

Category 1 - AI Share-of-Voice Tools

1. OtterlyAI

What it does

OtterlyAI tracks how often your brand and competitors show up inside AI answers across engines like ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, and Copilot. It turns those mentions and citations into clean AI share-of-voice dashboards and trends.

Why teams use it

Teams use OtterlyAI to see where they win or lose visibility in AI answers, which URLs get cited, and how that changes over time. It makes AI visibility measurable, so GEO (Generative Engine Optimization) work is driven by data instead of screenshots and guesswork.

Who is this tool for (ICP)

Best for teams that treat AI search as a real acquisition/brand channel:

• In-house SEO and content teams
• Brand, comms, and PR owners
• Agencies selling AI visibility / GEO services
• Growth marketers wanting AI visibility KPIs

How this tool fits in this AI-first era

OtterlyAI bridges classic rank tracking and the new world where buyers ask AI assistants what to buy. It shows what AI actually says about you, not just where you rank.

It gives you a structured way to practice GEO by revealing which prompts you win, which competitors dominate, and what content earns citations. It also surfaces risky or outdated AI narratives early so you can fix them with better pages and PR.

• Track AI SoV across major AI engines
• Spot visibility drops or competitor surges early
• Prioritize content/PR based on real AI citations
• Plug AI visibility into leadership and SEO reports

How does OtterlyAI work?

You define prompts, topics, and competitors; OtterlyAI regularly runs them across supported AI engines, captures brands/URLs mentioned, and aggregates everything into SoV and trend reports.

Free tier?

No permanent free tier; typically paid with trial/demo options.

Strengths

• Built specifically for AI search visibility
• Multi-engine monitoring in one place
• Clear SoV + competitor comparison dashboards

Weaknesses

• Extra tool on top of your SEO stack
• Works best if you invest in good prompt/topic setup
• Less suited to very small or ultra-low budget teams

Key capabilities

Core features worth calling out:

• AI share-of-voice dashboards across engines
• Brand & competitor visibility trends
• URL/citation analysis (which pages AI uses)

Pricing snapshot

• Entry plan: small prompt sets / single brand
• Mid tier: more prompts and reporting
• Advanced/enterprise: high volumes + deeper integrations

Best for

Mid-size companies, fast-growing startups, and agencies that want a dedicated lens on AI answers alongside their SEO tools.

2. HubSpot AI Share of Voice Tool

What it does

HubSpot’s AI Share of Voice tool is a free AI visibility grader that checks how your brand shows up across AI engines like ChatGPT, Claude, and Perplexity. It outputs an AI SoV score, competitor context, and optimization suggestions.

Why teams use it

Teams use it as a fast baseline: “How visible are we in AI today?” It’s great for initial benchmarking, exec slides, and before/after checks around campaigns or content pushes.

Who is this tool for (ICP)

• Marketing and growth teams using HubSpot
• SMBs and mid-market brands testing AI visibility
• Agencies needing a free diagnostic to start AI SoV conversations

How this tool fits in this AI-first era

The tool lowers the barrier to AI SoV: anyone can run a quick check without setup or new contracts. It helps non-specialists see that AI search is a measurable channel, not just a novelty.

It also nudges teams toward GEO by recommending content and brand optimizations based on how AI currently describes and ranks you.

• Instant AI SoV baseline, at no cost
• Easy way to socialize AI visibility internally
• Good “gateway tool” before heavier AI visibility stacks

How does it work?

You input your brand/industry; HubSpot queries selected AI engines, analyzes how often you appear vs competitors, and scores your AI share of voice with supporting insights and recommendations.

Free tier?

Yes – it’s a free tool.

Strengths

• Completely free and fast to use
• Multi-engine coverage in one view
• Actionable recommendations, not just a score

Weaknesses

• Snapshot-style, not a full ongoing monitoring suite
• Limited customization vs dedicated AI SoV platforms

Key capabilities

• AI SoV scoring across multiple AI engines
• Competitor and sentiment insights
• Optimization suggestions + exportable reports

Pricing snapshot

• Single free tool
• Upsell path into broader paid HubSpot products

Best for

Marketers who want a quick AI visibility check and an easy way to show leadership why AI search matters.

3. Profound

What it does

Profound is an AI search visibility platform that shows how often topics and brands appear across answer engines like ChatGPT, Perplexity, and Copilot. It helps brands understand and optimize their presence in AI-generated answers.

Why teams use it

Teams use Profound to “open up the black box” of AI search, monitor AI share of voice, and identify new opportunities or risks as models change. It’s geared toward brands that want broad AI coverage and deeper analysis.

Who is this tool for (ICP)

• Enterprise and upper mid-market brands
• Agencies managing multiple big brands
• Teams with BI/analytics support that want rich data exports

How this tool fits in this AI-first era

Profound gives a panoramic view across many AI answer platforms, which is crucial as attention fragments beyond a single engine. It lets you see where you’re strong, weak, or absent in AI answers by topic and region.

It also supports strategic GEO planning: which themes to own, which competitors are gaining ground, and where brand narrative needs reinforcement.

• Multi-engine AI visibility in one place
• Topic-level share-of-voice analysis
• Good for serious GEO and brand governance use cases

How does it work?

Profound runs structured queries across AI answer engines, records mentions and positioning, and rolls that into SoV metrics and topic reports over time.

Free tier?

No – generally sold as a paid, higher-tier platform (demo/POC typical).

Strengths

• Broad AI engine coverage
• Deep topic and trend analysis
• Built for data-driven teams and larger brands

Weaknesses

• Overkill for small brands or early explorers
• Enterprise-style pricing and onboarding

Key capabilities

• AI share of voice across major LLM platforms
• Topic and competitor visibility reporting
• Time-series and segmentation for markets/segments

Pricing snapshot

• Enterprise-leaning; custom quotes
• Typically positioned above SMB-level tools

Best for

Large brands that want full AI landscape visibility and have resources to act on deep, cross-engine insight.

Category 2 – Classic SERP / SEO Share-of-Voice Tools

4. Ahrefs

What it does

Ahrefs is an all-in-one SEO platform with keyword research, rank tracking, backlink analysis, and a Share of Voice metric built into Rank Tracker. SoV shows what percentage of estimated traffic your site gets vs competitors for tracked keywords.

Why teams use it

Teams use Ahrefs to monitor organic visibility, discover content opportunities, and benchmark search performance. SoV helps them see overall search dominance, not just isolated positions.

Who is this tool for (ICP)

• In-house SEO and content teams
• SEO agencies of all sizes
• Marketers who want a primary SEO “command center”

How this tool fits in this AI-first era

Ahrefs provides the classic SERP foundation you still need even as AI search rises. Its SoV metric and rank tracking reveal how much traditional search exposure you own in a given topic or region.

You can then layer AI visibility tools on top of Ahrefs, using its keyword and competitor intel to design AI prompts and GEO campaigns that reflect real search demand.

• Strong base for keyword and competitor discovery
• SoV as a simple, executive-friendly SEO KPI
• Natural data source to feed AI/GEO workflows

How does Ahrefs work?

Ahrefs uses its own web crawler and clickstream data to estimate search traffic, then calculates SoV for your domains and competitors based on tracked keywords and estimated traffic share.

Free tier?

No full free tier; limited free tools and an Ahrefs Webmaster Tools offering, paid plans for full access.

Strengths

• Huge backlink and keyword data sets
• Clear SoV and visibility metrics in Rank Tracker
• Widely adopted and well-documented

Weaknesses

• Can be pricey for solo creators or micro-teams
• Not purpose-built for AI SoV (needs pairing with AI tools)

Key capabilities

• Rank tracking with Share of Voice
• Keyword & content gap analysis
• Backlink and domain competitive analysis

Pricing snapshot

• Tiered SaaS plans by seats & data limits
• No per-feature “SoV only” plan

Best for

Teams that want reliable, deep SEO & SERP SoV as a base layer for everything else—including AI visibility work.

5. Semrush (with AI Visibility / AIO)

What it does

Semrush is a comprehensive SEO and digital marketing suite that now includes an AI Visibility Toolkit and Enterprise AIO for measuring AI share of voice alongside traditional SEO.

Why teams use it

Teams use Semrush to manage SEO, PPC, content, and competitive research in one place, now extended with AI SoV tracking. It’s especially attractive to companies already standardizing on Semrush.

Who is this tool for (ICP)

• Mid-market and enterprise brands
• Agencies managing multi-channel digital marketing
• Teams that want SEO + AI visibility in one ecosystem

How this tool fits in this AI-first era

Semrush bridges classic SEO metrics and AI share of voice, so teams can see how AI chatbots and AI search surfaces affect their overall visibility. It’s one of the first mainstream SEO suites to ship native AI SoV workflows.

It’s also part of a larger shift: big marketing stacks merging SEO + GEO into a unified visibility view, especially after Adobe’s announced acquisition of Semrush to bolster AI-powered marketing capabilities.

• Unified SEO + AI SoV reporting
• Good fit for teams already using Semrush broadly
• Strong story for “single pane of glass” reporting

How does Semrush work?

Semrush gathers SERP, keyword, and competitive data, and its AI toolkits extend that into AI chatbots and AI search engines, calculating AI SoV through monitored answers and visibility metrics.

Free tier?

Limited free access; full SEO and AI visibility features require paid plans (and Enterprise AIO for advanced AI SoV).

Strengths

• Mature, full-stack SEO + marketing platform
• Native AI SoV tooling in a familiar environment
• Strong competitive and keyword intelligence

Weaknesses

• Enterprise AI features can be expensive
• Complexity can feel heavy for very small teams

Key capabilities

• Rank tracking, keyword & competitor research
• AI Visibility Toolkit and Enterprise AIO for AI SoV
• Reporting and integrations with wider marketing stack

Pricing snapshot

• Core SEO plans + add-on / enterprise pricing for AI AIO
• Enterprise AIO and AI Visibility typically “talk to sales”

Best for

Brands and agencies wanting one platform for SEO, paid, content, and now AI share-of-voice.

6. Mangools (Share of Search + AI Search Watcher)

What it does

Mangools is a compact SEO toolset (KWFinder, SERPWatcher, etc.) plus free tools like Share of Search and AI Search Watcher. Share of Search lets you compare brand search interest; AI Search Watcher tracks AI search results visibility.

Why teams use it

Teams choose Mangools for simplicity and affordability: easy keyword and SERP tracking, plus basic brand/search SoV proxies like Share of Search.

Who is this tool for (ICP)

• Freelancers and small businesses
• Small SEO agencies
• Generalist marketers needing lightweight SEO + share-of-search

How this tool fits in this AI-first era

Mangools gives smaller teams a pragmatic way to watch brand search demand and AI search visibility without enterprise pricing. Its Share of Search and AI Search tools act as simple SoV proxies for brands that can’t justify heavy stacks.

• Good entry point for AI-aware SEO
• Free tools to support early experimentation
• Pairs well with social listening or AI SoV tools later

How does Mangools work?

You use its core SEO tools for keyword/SERP data and plug in the Share of Search and AI Search focused tools to compare branded queries and see AI search behavior around them.

Free tier?

Free tools (including Share of Search) plus paid subscriptions for full SEO suite.

Strengths

• Easy to learn and use
• Budget-friendly vs big suites
• Handy free tools for brand search and AI search checking

Weaknesses

• Not enterprise-grade analytics
• AI visibility features are lighter than dedicated AI SoV tools

Key capabilities

• Keyword and rank tracking
• Free Share of Search branded-query comparison
• AI Search grader / watcher tools for AI results

Pricing snapshot

• Tiered SaaS plans (Starter → Agency)
• Free tools available without subscription

Best for

Small teams wanting SEO basics + simple SoV signals for brand search and early AI search visibility.

Category 3 – Social & Web Listening Share-of-Voice Tools

7. Brandwatch Consumer Research

What it does

Brandwatch Consumer Research is an enterprise social listening and consumer intelligence platform that tracks conversations across 100M+ online sources and calculates share of voice in real time.

Why teams use it

Teams use Brandwatch to understand how people talk about their brand vs competitors, measure SoV for campaigns, and get AI-assisted insights from a massive data set.

Who is this tool for (ICP)

• Global brands and large enterprises
• PR, comms, and insights teams
• Agencies running brand tracking and reputation programs

How this tool fits in this AI-first era

Brandwatch shows the raw conversation that increasingly shapes what AI systems “learn” about brands. Tracking SoV, sentiment, and topics here helps you steer the narrative AI will pick up.

Its AI-powered analysis and alerting let you react quickly to spikes in conversation—before negative stories or crises get amplified by both humans and AI summaries.

• Real-time SoV & sentiment for social and web
• Strong for campaign measurement and crisis detection
• Great upstream input for content, PR, and AI visibility strategies

How does it work?

Brandwatch ingests data from millions of sources, applies AI/NLP for classification and sentiment, and surfaces SoV, trends, segments, and alerts in visual dashboards.

Free tier?

No; sold as enterprise software (demo and POCs typical).

Strengths

• Massive data coverage and depth
• Powerful AI-driven insights and alerting
• Built for complex, global organizations

Weaknesses

• Enterprise pricing and implementation
• Overkill for small, single-market brands

Key capabilities

• Real-time SoV, sentiment, and trend tracking
• Advanced filtering, segmentation, and dashboards
• AI-powered insights and anomaly detection

Pricing snapshot

• Enterprise/custom quotes
• Often part of a broader Brandwatch suite deal

Best for

Global brands needing serious, always-on visibility into how they and competitors show up in public conversation.

8. Brand24

What it does

Brand24 is an AI-powered social listening tool that tracks mentions across social media, news, blogs, forums, and more, with built-in SoV, reach, sentiment, and AI insights.

Why teams use it

Teams use Brand24 to measure brand awareness, benchmark SoV vs competitors, and spot crises or opportunities using AI topic analysis and real-time dashboards.

Who is this tool for (ICP)

• SMBs and mid-market brands
• Agencies managing multiple client brands
• Social media and PR managers

How this tool fits in this AI-first era

Brand24 gives you conversation-level SoV and sentiment that can influence how AI tools later summarize your brand. Its AI Insights and topic clustering help you quickly see what’s trending and whether that narrative is positive or negative.

It’s also a practical, cost-effective way for smaller teams to keep an eye on reputation, influencers, and competitor SoV without enterprise overhead.

• Real-time SoV, reach, and sentiment
• AI grouping of mentions into topics/themes
• Good bridge between social data and AI/SEO planning

How does it work?

You define keywords/brands; Brand24 monitors matched mentions across supported sources and visualizes volume, sentiment, SoV, and topics in an AI-enhanced dashboard.

Free tier?

No permanent free plan; offers a free trial then tiered paid plans.

Strengths

• Strong value for money and ease of use
• Clear SoV and sentiment metrics
• AI features for topic and insight discovery

Weaknesses

• Less depth and customization than enterprise suites
• May require exports/other tools for very advanced analysis

Key capabilities

• SoV, reach, sentiment and engagement tracking
• AI Topic Analysis and AI Insights
• Influencer discovery and crisis alerting

Pricing snapshot

• Several SaaS tiers, scaling by mentions/features
• All include trial; check live site for current pricing

Best for

Brands and agencies that want robust, affordable social SoV with AI help, without going full enterprise.

9. Mentionlytics

What it does

Mentionlytics is an AI-powered web and social media monitoring tool with detailed SoV reporting, sentiment analysis, and an AI assistant called SIA – Social Intelligence Advisor.

Why teams use it

Teams use Mentionlytics to track all online conversations about their brand and competitors, see SoV across channels, and let SIA surface patterns, insights, and recommendations automatically.

Who is this tool for (ICP)

• SMB → mid-market brands
• Agencies handling multiple brands and markets
• Teams wanting AI help interpreting social data

How this tool fits in this AI-first era

Mentionlytics gives you classic social/web SoV plus an AI advisor to interpret it—perfect when you’re drowning in mentions and limited on analyst time. Its SoV and sentiment signals can guide which topics and issues you address in content PR that AI tools later ingest.

SIA also helps you find best times to post, effective hashtags, key influencers, and anomalies—feeding both human campaigns and AI-search-aware strategies.

• SoV and sentiment across web + social
• AI assistant to surface insights and next steps
• Good complement to SEO/AI SoV tools

How does it work?

Mentionlytics monitors chosen keywords across social platforms and web sources, then uses AI (including SIA) to cluster mentions, analyze sentiment, and produce SoV analytics and insights.

Free tier?

No permanent free plan, but offers a 14-day free trial with no credit card required.

Strengths

• Very detailed SoV and analytics for a wide range of channels
• SIA AI advisor for personalized insights
• Well-regarded support and usability (high user ratings)

Weaknesses

• Not as widely known as some “big logo” tools
• More powerful than some very small teams may need

Key capabilities

• Share of voice reports and comparison views
• SIA AI advisor (insights, anomaly detection, recommendations)
• Influencer, keyword, and channel breakdowns

Pricing snapshot

• Multiple SaaS tiers based on keyword rules, mentions, and profiles
• Transparent pricing on site; trial available

Best for

Brands and agencies that want strong SoV analytics plus AI help turning that data into decisions.

What “Share of Voice” Means in 2025 (Search, Social & AI Answers)

In 2025, “share of voice” isn’t just a brand-awareness vanity metric. It’s how you see where you’re winning attention — and where competitors are quietly taking over AI answers, classic SERPs, and social proof.

If you’re new to brand visibility in AI search, think of SoV as your scoreboard across all these surfaces.

Classic Share of Voice – The Original Definition

Traditionally, share of voice measures your brand’s portion of total visibility (mentions, impressions, spend, or rankings) vs all competitors in a given channel.

Basic formula:

SoV (%) = (Your brand’s mentions or impressions ÷ Total mentions/impressions of all brands) × 100

Marketers use this in:

• Paid media (impression share, share of spend)
• Social (mentions, reach, engagement share)
• Organic search (visibility / ranking share on key terms)

Classic SoV tells you how dominant your brand is in a channel, and often correlates with future growth: if you reliably out-shout competitors, you usually outgrow them.

If your classic SERP coverage is weak, a SaaS content audit & fix sprint is often the fastest way to uncover where you’re losing impressions and patch those leaks.

AI Share of Voice – How Often AI Recommends You

In AI search, AI Share of Voice (AI SoV) tracks how often your brand is mentioned, cited, or recommended in AI-generated answers compared with competitors.

This includes:

• AI Overviews / SGE / AI Mode in search engines
• Chatbots & LLMs like ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, etc.

Instead of “what position am I ranking in?”, you’re asking, “When someone asks an AI for recommendations, how often do we show up vs. our competitors?”

Why You Must Measure Both AI & Classic SERPs

Customers bounce between:

• Classic SERPs (for price, comparison, research)
• AI Overviews & chatbots (for shortcut answers & recommendations)
• Social + reviews (for validation)

If you only track traditional rankings, you could lose AI visibility without seeing it in Search Console or rank trackers.

Measuring SoV across both AI and classic surfaces helps you:

• Detect where competitors are gaining ground
• Prioritize content & PR for AI citations, not just blue links
• Justify brand/education campaigns that pay off in visibility, even before conversions spike

AI vs. Classic SERPs – How Share of Voice Actually Differs

Classic SERPs – Positions, CTR & Impression Share

On traditional search results, SoV is usually built from:

• Organic rankings (top 3 / top 10 visibility)
• Impression share in Google Ads
• Click share across priority keywords

Here, SoV is fairly deterministic:

Rank higher + bid more → get more impressions → grow SoV.

That’s why classic SoV has historically been easier to track and forecast.

AI Answers – Citations, Mentions & “Answer Real Estate”

In AI answers, visibility behaves very differently:

• Non-linear: One answer can mention 3–5 brands with similar weight, regardless of “positions.”
• Contextual: Different prompts (“best X for startups” vs. “for enterprises”) surface different brands.
• Opaque: There’s no native console that reports your AI citation share across LLMs.

AI-focused SoV tools approximate this by:

• Running sets of prompts that mirror real buyer journeys
• Recording which brands appear, how often, and how prominently
• Aggregating those into AI SoV scores and trends over time

This is how you move from “AI is a black box” to a trackable, optimizable channel.

Key Metrics to Track on Each Surface

To make this actionable, split your dashboard by classic vs. AI surfaces.

▶️ Classic SERPs

Track:

• Keyword rankings & ranking share across your core topics
• Organic SoV / visibility score
• PPC impression share and top-of-page rate
• CTR and branded vs. non-branded traffic mix

These show how reliably you’re in the consideration set when users type their queries into Google.

▶️ AI Answers

Track:

• AI SoV – % of prompts that mention or recommend your brand
• Number of citations in AI Overviews & LLM answer
• Brand vs. competitor recommendation share (who AIs “like” to recommend)
• Sentiment & positioning: are you framed as “budget,” “premium,” “enterprise,” “for beginners,” etc.?

This tells you how AI “talks about you” — and whether that actually matches your desired market position.

If you want help turning these metrics into a roadmap (not just a dashboard), working with a SaaS SEO agency that already bakes AI SoV into strategy can shortcut months of trial and error.

How to Choose the Right AI & SERP Share-of-Voice Tools

Picking the wrong SoV tool stack leaves you with pretty charts but no real advantage. Use this checklist to choose platforms that actually help you win more visibility, demos, and trials—not just track them.

1. Check Platform Coverage (AI Engines & Search Engines)

Start by asking: “Where does this tool actually measure my share of voice?”

For AI, look for tools that track multiple ecosystems, not just “Google only.” Strong AI visibility platforms should cover a mix of:

• Google AI Overviews / AI Mode
• ChatGPT & GPT-4o
• Gemini, Claude, Perplexity, Copilot, Grok, Meta AI, DeepSeek, etc.

On the classic search side, you want:

• Google as the core, Bing as a useful extra
• Coverage across organic + PPC (and ideally surfaces like YouTube / Discover where relevant)

👉 If you operate in multiple regions, sanity-check geo coverage with a dedicated Best AI visibility tool for GEO targeting so you’re not blind outside your home market.

If you discover gaps here and need a strategy layer on top, a specialist SaaS SEO agency can help you decide which tools actually map to your funnel and markets.

2. Evaluate Metrics & Methodology

The same SoV label can hide very different methodologies. Push vendors on how they calculate AI SoV and SERP SoV.

Questions to ask for AI SoV:

• How do you define AI SoV?
  • Is it based on prompt coverage, citation count, position/weight within the answer, or all three?
• What’s the sample?
  • Do you use fixed prompts, or can we customize by persona, funnel stage, and language?
• Do you measure sentiment and context, or just count raw mentions?

For classic SERPs, look for:

• SoV at keyword group level (not just per keyword)
• Combined SoV across organic + paid
• Exportable data for BI tools and dashboards

If you want to operationalize this in your SEO process, pair your tools with an AI SEO workflow playbook so your team isn’t guessing how to act on the numbers.

For more context on normal vs strong performance, it also helps to benchmark against b2b saas seo benchmarks so your SoV targets are grounded in reality.

3. Data Freshness, Alerts & Trend Analysis

AI surfaces move fast. A monthly report isn’t enough. Look for:

• Daily or weekly refreshes of AI & SERP data
• Alerts when:
  • Your SoV drops on a strategic topic
  • A competitor surges or suddenly dominates an AI answer set
• Trend charts over weeks and months, not just point-in-time snapshots

Your goal: spot momentum and early warning signals, not just confirm what already happened.

If you see consistent drop-offs across key journeys, a focused SaaS content audit & fix sprint can quickly repair and reposition under-performing assets before the trend becomes structural.

4. Integrations, UX & Pricing

Finally, choose tools your team will actually use. Evaluate:

• Integrations with GA4, CRM, data warehouses, Looker, Power BI, etc.
• Role-based access so SEO, brand, PR, and leadership can see the slices they care about
• Pricing fit for your stage and team size
  • Some platforms are enterprise-only
  • Others offer freemium / SMB-friendly tiers

👉 If AI answer visibility is a top priority and you want expert implementation rather than DIY, consider dedicated Answer engine optimisation services for SaaS so your tools plug directly into a clear AEO roadmap.

Step-by-Step: Setting Up Share-of-Voice Tracking Across AI & SERPs

Once you’ve shortlisted tools, use this workflow to set up tracking that actually matches how buyers research and decide.

1. Define Your Competitive Set & Topics

Start with focus, not “everyone in our space.”

• List 3–8 direct competitors
• Group keywords and prompts into themes:
  • Category keywords
  • Use cases
  • Personas
  • Regions / markets
• Include both brand and non-brand journeys
  • e.g., “best payroll software for SMEs” vs “Brand X vs Brand Y”

If you’re not confident in your topic set, refine it using a zero-click SERP keyword strategy — it’s a great way to find terms where AI Overviews, snippets, and PAA already compress attention.

2. Choose Your AI & Classic Tool Stack

A simple but effective SoV stack might look like:

• AI SoV tool (e.g., AI visibility platform for Overviews + LLM answers)
• Classic SEO SoV tool (Ahrefs, Mangools, etc.)
• Social listening SoV (Brandwatch, Brand24, Mentionlytics)

Prioritize tools that:

• Allow clean data export (CSV, API)
• Support custom groupings (topics, markets, personas)

If you’re still comparing platforms, start with a tool comparison guide so you don’t overspend on overlapping features.

3. Configure AI Prompts & Scenarios

Your AI SoV data is only as good as your prompt set.

• Map buyer questions at each funnel stage:
  • Problem → exploration → comparison → decision
• Configure your AI visibility tool to simulate these prompts regularly
• Where supported, segment by:
  • Market / region
  • Language
  • Persona / company size

This is also where an AE SEO playbook for AI answers & citations (like your internal version or an external guide) becomes crucial to standardize how prompts are chosen and reviewed over time.

4. Set Up Keyword & SERP Tracking

• Track priority keyword groups (by product, market, funnel stage)
• Monitor visibility / SoV metrics rather than obsessing over single ranks
• Include branded + competitor terms for a fuller picture

5. Add Social & PR Share-of-Voice

• Use a social listening platform to track:
  • Mentions of you + competitors
  • Sentiment distribution
  • Key channels or regions
• Align tagging with your keyword & prompt themes for cross-channel consistency.

6. Build a Unified SOV Dashboard

In your BI tool, bring everything together:

• AI answers (AI SoV)
• Classic SERPs (organic & paid)
• Social / PR

Visualize:

• Overall SoV by channel
• Trends over time (3–6+ months)
• Competitor shifts at topic or market level

Use reference points from b2b saas seo benchmarks to set realistic targets and spot underperformance early.

7. Turn Insights Into Action

SoV is only valuable if it drives decisions. Use your dashboards to:

• Prioritize content and digital PR for queries where you’re under-represented in AI answers
• Launch brand campaigns where SoV is lagging despite strong conversion performance
• Double down on formats that AI engines like to cite (clear, structured, expert content)

When you’re ready to convert that visibility into pipeline, pair SoV work with CRO for product-led content so your articles, comparison pages, and docs actually drive more trials and demos.

If you’d rather have a team build the stack, wire up dashboards, and run the experiments for you, you can speak with our SEO strategists and have them design an SoV + CRO plan tailored to your SaaS.

Conclusion: Your Brand Needs to Show Up Where the Answers Live

👉 AI hasn’t killed the SERP “it’s just moved the real battle for attention into the answers themselves”.

If you’re only tracking blue links, you’re flying half blind. Your buyers are asking AI tools what to buy, who to trust, and which brands actually deliver, and those answers are shaping perception long before they hit your pricing page.

So your job now is simple:

• Measure where you show up (AI answers, classic SERPs, social, PR) with proper AI share-of-voice tracking
• Compare that visibility vs. competitors via a brand visibility audit with LLMs
• Act on gaps with content, PR, and answer engine optimisation services

Brand isn’t just what you say anymore — it’s what AI says about you.

👉 Ready to see where you really stand?

Talk to our team about an AI SoV & visibility roadmap for your SaaS: contact us here.