Which AI platforms should I track for share of voice?

At minimum, track ChatGPT, Google Gemini, Perplexity, and Google AI Overviews. These four platforms collectively handle the vast majority of AI-driven research and product-discovery queries. Semrush's 2026 AI Visibility Index — which analyzed 126 million US AI search prompts — found that only 36 brands out of 1,200 maintained consistent visibility across all major platforms, underscoring why single-platform tracking gives a dangerously incomplete picture. If your audience uses Claude, Microsoft Copilot, or other assistants, add those to your monitoring stack.

What tools can I use to track AI share of voice?

Several platforms now offer dedicated AI SOV tracking. Ryze AI monitors brand mentions across AI assistants and surfaces actionable recommendations to close visibility gaps. Nightwatch provides an LLM tracking dashboard with metrics for average visibility, SOV, sentiment, and entity visibility. HubSpot AEO tracks share of voice at the prompt level across ChatGPT, Gemini, and Perplexity. OptimizeGEO has an AI SOV module with competitor benchmarking. Conductor offers competitive AI SOV with enterprise-grade reporting. The right tool depends on your budget, team size, and whether you need insight only or insight plus action.

Why does my brand have thousands of media mentions but low AI visibility?

Media volume and AI visibility are not the same thing. AI engines are not trained on every article on the internet — they weight specific trusted sources more heavily. A newer brand cited consistently in the publications and platforms that LLMs trust can outrank a legacy brand with 10,000 total media mentions that are concentrated in lower-authority outlets. As The Drum reported in July 2026, the gap between earned media volume and AI visibility is the most important blind spot in communications right now. The fix is to identify which sources AI engines weight in your category and build a presence there.

How do I improve my brand's AI share of voice?

The most effective levers are: (1) Build authoritative, structured content that directly answers the prompts in your category — AI engines reward clear, extractable answers. (2) Add structured data and schema markup so models can parse your brand information accurately. (3) Secure citations in the high-trust sources that AI platforms weight in your vertical — industry publications, analyst reports, and peer-reviewed content. (4) Publish original research and unique data that gives LLMs a reason to cite you rather than a competitor. (5) Close prompt gaps by identifying queries where competitors appear and you do not, then creating content that addresses those exact topics. Track your AI SOV monthly to measure whether these actions are moving the number.

Ira Bodnar·July 7, 2026·14 min read

Measuring your brand’s share of voice across AI assistants: the complete 2026 guide.

We tested 10 tools against real brand tracking campaigns across ChatGPT, Gemini, Perplexity, and Google AI Overviews — scored on prompt coverage, measurement accuracy, and whether each tool tells you how to actually improve your AI SOV, not just report it.

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Measuring your brand’s share of voice across AI assistants is no longer optional — it is the single most important visibility metric in 2026.

When a buyer asks ChatGPT, Gemini, or Perplexity which brand to choose in your category, there is no page-two ranking to hide on. Your brand is either in the answer or it isn’t — and right now, most brands aren’t.

Semrush’s 2026 AI Visibility Index, which analyzed 126 million U.S. AI search prompts, found that only 36 of 1,200 studied brands appeared consistently across ChatGPT, Gemini, Google AI Mode, and Google AI Overviews every single month. Here is what else the data shows:

AI SOV is calculated as (brand citations ÷ total category citations) × 100 — and most B2B brands appear in under 30% of relevant queries, regardless of their SEO rankings (LLM Pulse, 2026).
The mention-source overlap between brands that get mentioned and brands that get cited as sources runs as high as 64% on Google AI Overviews and as low as 30% on Gemini — a 34-point spread that makes platform-by-platform tracking essential.
A brand can have 10,000 earned media mentions and still be effectively invisible in AI-generated answers if those mentions don’t appear in the sources AI engines weight most heavily (The Drum, July 2026).

How we tested

Over ten weeks we ran each tool against live brand tracking campaigns for companies in SaaS, ecommerce, financial services, and B2B professional services. For each brand we defined 60–120 category-relevant prompts, submitted them across ChatGPT (GPT-4o), Gemini 1.5 Pro, Perplexity, Claude 3.5 Sonnet, and Google AI Overviews, and compared each tool’s output against our own manually verified ground truth. Where a tool also offered improvement recommendations, we tested those recommendations on real content and measured changes in AI mention frequency over a six-week follow-up window.

We scored five dimensions equally:

Platform breadth — how many AI assistants the tool tracks simultaneously
Prompt library quality — does it suggest prompts, or do you build them from scratch?
Measurement accuracy — how closely does reported SOV match manual verification?
Actionability — does the tool tell you how to improve your AI SOV, or just measure it?
Pricing transparency at scale — what does it actually cost as prompt volume and competitor tracking grow?

No vendor paid for placement. Ryze AI is our own product, and we’ve flagged that wherever it appears so you can weigh it accordingly.

All 10 AI SOV tools, at a glance

Rank	Tool	Best for	From	Rating
01	Ryze AI Winner	Autonomous AI SOV tracking and improvement	Flat fee	4.9/5
02	Nightwatch	LLM rank and SOV tracking	From $39/mo	4.7/5
03	HubSpot AEO	All-in-one AEO with SOV dashboard	Free tier	4.5/5
04	Conductor	Enterprise AI SOV benchmarking	Custom	4.4/5
05	OptimizeGEO	GEO-focused SOV monitoring	From $99/mo	4.4/5
06	LLM Pulse	Glossary-level SOV analytics	From $49/mo	4.3/5
07	Peec AI	Product-level AI shopping visibility	Custom	4.3/5
08	Semrush AI Toolkit	AI visibility index for enterprise	From $139/mo	4.4/5
09	Birdeye AI SOV	Local and multi-location brands	Custom	4.2/5
10	BrightEdge Autopilot	Enterprise content and AI SOV	Custom	4.3/5

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The rest of the field

Tools #2–#10, tested and ranked

02Best dedicated LLM rank and SOV tracker

Nightwatch

Nightwatch is the most purpose-built standalone tool for tracking AI share of voice at a price point accessible to growing brands. Its LLM tracking section shows average visibility, share of voice, sentiment, entity visibility, and citation domain distribution in one dashboard — and it updates automatically as you run new prompt batches rather than requiring manual re-submissions.

Setup involves opening the LLM tracking section, configuring your prompt set (Nightwatch can suggest prompts based on your domain), selecting target competitors, and choosing which AI assistants to track. From there the tool runs continuously. The gap is that Nightwatch tells you your AI SOV number with excellent precision but provides limited guidance on how to move it — that strategy layer is left to the user or to a tool like Ryze AI that acts on the data.

PricingFrom $39/mo (scales with tracked prompts and competitors)

ProsTracks ChatGPT, Perplexity, Google AI Mode, and AI Overviews; clean SOV dashboard; entity and citation tracking built in

ConsPrompt library setup is manual; improvement recommendations are limited compared to autonomous tools

VerdictBest for SEO teams that want a dedicated, accurate AI SOV measurement layer at a reasonable price

03Best all-in-one AEO platform with SOV dashboard

HubSpot AEO

HubSpot AEO centralizes AI share-of-voice measurement through its brand visibility dashboard and prompt tracking tools. The formula it applies is the standard one: AI SOV = (number of AI responses mentioning your brand ÷ total AI responses for your prompt set) × 100 — but it surfaces this at the individual prompt level, showing which buyer questions include your brand, where competitors are recommended instead, and where you are absent entirely.

Crucially, HubSpot AEO goes a step beyond pure measurement. It translates visibility data into prioritized, plain-language recommendations — which content to update, which citation sources to pursue, which prompt categories to target — making it one of the most actionable tools in our roundup. For teams already in HubSpot, it is a natural first stop. For teams that want autonomous implementation of those recommendations rather than a to-do list, pairing it with an execution layer adds meaningful lift.

PricingFree tier available; full AEO dashboard included in Marketing Hub Professional ($800/mo)

ProsBrand visibility dashboard across ChatGPT, Gemini, and Perplexity; prompt-level SOV breakdown; plain-language recommendations; free entry point

ConsTied to the HubSpot ecosystem; enterprise pricing at scale; less granular than specialist tools on citation-level data

VerdictBest for HubSpot users or teams that want SOV measurement plus actionable recommendations in one marketing platform

Why this matters

Most tools here measure your AI share of voice and hand you a report. Ryze AI is the only one in our roundup that also improves it — identifying the prompt gaps, content gaps, and citation gaps where competitors appear instead of you, then implementing fixes 24/7 without requiring a strategist in the loop. Learn more at get-ryze.ai.

04Best for enterprise AI SOV benchmarking

Conductor

Conductor distinguishes itself by tracking two distinct metrics simultaneously: mention share (how often your brand is named in AI responses) and citation share (how often your content is cited as a source). This split matters because Semrush’s 2026 data showed that the gap between the two can be 34 percentage points depending on the platform — a brand can be mentioned frequently while its owned content is rarely the source AI models draw on.

Conductor was identified as a Forrester Leader in 2025 and carries TrustRadius and G2 recognition. It is built for organizations running AI SOV measurement across multiple product lines, geographies, and brand entities. For most teams, the tool is genuinely more than they need; for enterprises that require a governance-grade system of record, it is the market leader. Smaller brands get most of the competitive intelligence from purpose-built tools at a fraction of the cost.

PricingCustom (enterprise; typically mid-five-figures per year)

ProsTracks mention share and citation share separately; definitive competitive benchmarking; integrates with existing content workflows

ConsEnterprise pricing and sales-led onboarding; overkill for teams under $5M revenue; heavy setup

VerdictBest for large enterprise marketing teams that need a system-of-record for AI SOV across the whole organization

05Best GEO-native AI SOV monitoring tool

OptimizeGEO

OptimizeGEO describes AI SOV as the North Star metric for GEO, and builds its entire product around it. Its formula — (Brand Citations ÷ Total Category Citations) × 100 — is applied across a defined set of category-relevant prompts that the platform helps you build, drawing on what your competitors are being asked about to fill gaps in your own prompt library.

The platform’s strength is its opinionated workflow: define prompts, run them across LLMs, review your SOV by platform and prompt category, identify competitor-dominated gaps, and prioritize content improvements accordingly. It is a clean, logical sequence. The limitation is that OptimizeGEO surfaces the gaps and the priority order, but the content work — writing, publishing, earning citations — remains with your team unless you connect it to a broader AI content and outreach tool like Ryze AI.

PricingFrom $99/mo (scales with prompt volume and competitor seats)

ProsPurpose-built for Generative Engine Optimization; strong prompt suggestion engine; SOV broken down by prompt type and platform

ConsNewer entrant with a smaller data history; improvement recommendations are directional rather than prescriptive

VerdictBest for GEO-forward teams that want a dedicated AI SOV module built around the GEO workflow rather than bolted onto an SEO tool

Your brand’s AI share of voice, tracked and grown automatically.

✓Tracks your SOV across ChatGPT, Gemini, Perplexity and more
✓Identifies prompt gaps where competitors appear instead of you
✓Implements content and citation fixes to grow your AI SOV 24/7

2,000+

Marketers

$500M+

Ad spend

Countries

06Best for glossary and category-level SOV analytics

LLM Pulse

LLM Pulse has built one of the cleaner public-facing explanations of AI share of voice methodology, and its product reflects that clarity. It tracks brand mention counts divided by total brand mentions across relevant queries, applies the standard SOV formula, and presents results broken down by platform, prompt type, and competitor. Its glossary approach — defining every metric in plain language inside the dashboard — makes it accessible to teams that are new to AI visibility measurement.

According to LLM Pulse’s own research, most B2B brands appear in under 30% of relevant AI queries regardless of their traditional SEO strength — a finding that underscores why AI SOV tracking is now a distinct discipline. The tool measures that gap accurately. Where it falls short is on the improvement side: it surfaces the data but does not prescribe specific content actions or automate citation-building the way that autonomous platforms do.

PricingFrom $49/mo (prompt and competitor volume tiers)

ProsClear SOV formula documentation; competitor benchmarking; tracks entity mentions across LLMs; strong educational content

ConsNewer platform; UI is functional but not polished; limited integrations with content tools

VerdictBest for teams that want transparent, well-documented AI SOV methodology alongside clean competitive benchmarking data

07Best for product-level AI shopping visibility

Peec AI

Peec AI launched its AI Shopping Analytics product in June 2026, extending brand-level SOV measurement to product-level AI shopping visibility — tracking every product in a catalog across AI shopping answers and surfacing which SKUs appear, which are missing, and why. For ecommerce brands, this is a meaningful evolution: measuring your brand’s share of voice across AI assistants at the product level is materially different from knowing your overall brand mention rate.

The platform covers ChatGPT shopping answers, with AI Mode and Perplexity integrations in its roadmap. Its Shopping Actions feature adds ranked, specific recommendations for improving product page visibility in AI responses — making it one of the more actionable tools for ecommerce specifically. Broader brand SOV tracking across non-shopping prompts is available but less developed than dedicated tools like Nightwatch or Conductor. For ecommerce teams, it is worth pairing with a full-funnel AI visibility platform.

PricingCustom (brand and agency plans; AI Shopping Analytics launched June 2026)

ProsTracks individual SKUs across AI shopping answers in ChatGPT; surfaces product-level visibility gaps; Shopping Actions feature ranks improvement recommendations

ConsVery new product; primarily ecommerce focused; broad brand SOV tracking is secondary to product-level data

VerdictBest for ecommerce brands that need to track not just overall AI SOV but which specific products appear in ChatGPT shopping recommendations

08Best for enterprise-scale AI visibility indexing

Semrush AI Toolkit

Semrush published the most comprehensive AI visibility research of 2026, analyzing 126 million U.S. prompts across ChatGPT, Google Gemini, Google AI Mode, and Google AI Overviews to produce the AI Visibility Index. That research base — covering 1,200 brands across 22 industry verticals — gives Semrush’s AI toolkit a richer competitive context than any other tool in our roundup. Knowing that only 36 brands appear consistently across all four platforms in every month is data only Semrush could produce at this scale.

The platform’s AI SOV features are built into its broader competitive intelligence suite, which means they benefit from Semrush’s massive keyword and content database but are less specialized than standalone SOV tools. For teams that want to see their AI visibility sitting alongside their organic and paid metrics in one workspace, it is a natural fit. For teams focused exclusively on improving AI mention rates, a dedicated tool or an autonomous AI visibility platform moves faster.

PricingFrom $139/mo (Guru); AI Visibility features in Business plan and above

ProsBacked by the 126M-prompt AI Visibility Index 2026; strong competitive benchmarking across 22 verticals; integrates with Semrush's existing keyword and content workflows

ConsAI SOV features still maturing; best data is at industry aggregate level rather than granular brand level; cost scales quickly

VerdictBest for enterprise teams already in Semrush that want to add AI SOV to their existing search visibility reporting stack

09Best for local and multi-location brand AI visibility

Birdeye AI SOV

Birdeye approaches AI share of voice from the local brand authority angle, which makes it genuinely differentiated for the right use case. It tracks how AI assistants cite brands in local and near-me query contexts, integrates review data and third-party citation signals into its AI SOV scoring, and surfaces where a brand’s local authority gaps are causing it to be skipped in AI responses for location-specific prompts.

Birdeye’s research identifies the key signals that shape AI visibility — third-party citations, structured data, content freshness, source corroboration — and its platform is designed to improve those signals systematically. For national brands with dozens or hundreds of locations, measuring AI SOV at the location level and understanding which markets have the lowest AI visibility is a genuinely useful capability that most other tools in this list do not offer. Pure national or global AI SOV tracking is better handled by Conductor, Nightwatch, or Ryze AI.

PricingCustom (reputation and AI visibility plans; contact for pricing)

ProsStrong local brand authority signals; integrates review data with AI SOV; good for multi-location brands where local AI recommendations matter

ConsNot built for national or global SOV tracking at scale; improvement recommendations focus heavily on review signals

VerdictBest for multi-location businesses, franchises, and local service brands that need AI SOV measured at the location level

10Best for enterprise content and AI SOV in one platform

BrightEdge Autopilot

BrightEdge Autopilot is an enterprise content intelligence platform that has added AI answer tracking and SOV measurement to its core SEO and content suite. Its approach treats AI visibility as an extension of content authority — understanding which of your pages are being cited in AI responses, where your content is absent from AI answers despite strong organic rankings, and what content gaps are costing you AI mentions in your category.

For enterprise content teams that already use BrightEdge for SEO and content workflows, adding AI SOV measurement in the same platform reduces tool sprawl and connects content investments directly to AI visibility outcomes. The limitation is the same as Conductor — it is enterprise-first, sales-led, and carries a price tag that most brands under $10M revenue will find hard to justify. Brands at that scale get equivalent AI SOV intelligence from autonomous platforms at a fraction of the annual commitment.

PricingCustom (enterprise; typically $24K+/year)

ProsCombines traditional SEO, content optimization, and AI visibility in one enterprise platform; strong AI answer tracking; integrates with major CMS platforms

ConsEnterprise-only pricing and implementation; AI SOV features are part of a broader suite rather than a specialist focus; heavy onboarding

VerdictBest for enterprise content teams that want AI SOV measurement embedded in the same platform managing their content production and SEO workflows

Daniel S.

VP of Marketing
B2B SaaS Brand

★★★★★

“

We had been tracking AI mentions manually in a spreadsheet — two hours a week just to know our number. Ryze AI gave us a live SOV dashboard and then actually started fixing the gaps. Our share of voice in ChatGPT answers went from 11% to 34% in eight weeks.”

+209%

AI SOV lift

8 weeks

Time to result

Manual hours

How do you choose the right AI share-of-voice tool for your brand?

With 10 tools ranging from free tiers to custom enterprise contracts, the decision comes down to three variables: whether you need measurement only or measurement plus improvement, which AI assistants matter most to your audience, and how much your team can action the insights internally.

Decision 1

Do you need measurement only, or measurement plus automated improvement?

Measure AND improve automatically: Ryze AI
Measure with manual recommendations: HubSpot AEO, OptimizeGEO, Nightwatch
Measure only, no improvement guidance: LLM Pulse, Semrush AI Toolkit (basic tier)

Decision 2

Which AI assistants are most critical to your audience?

ChatGPT + Google AI Overviews + Perplexity: Nightwatch, HubSpot AEO, or Ryze AI cover all three natively
ChatGPT shopping answers specifically: Peec AI’s AI Shopping Analytics is the only purpose-built option
Local AI answers (near-me, location-based): Birdeye AI SOV is purpose-built for this use case
All major platforms at enterprise scale: Conductor or BrightEdge Autopilot

Decision 3

How much can your team action the insights internally?

Dedicated content and SEO team: HubSpot AEO, OptimizeGEO, or Conductor give them rich data to work from
Small or non-technical marketing team: Ryze AI or Nightwatch; Ryze AI implements improvements automatically
Enterprise with multiple stakeholders: Conductor or BrightEdge for governance-grade reporting alongside execution

The bottom line: if you want a single tool that tracks your brand’s share of voice across AI assistants and automatically works to improve it — closing prompt gaps, building citations, updating content — Ryze AI is the pick for most brands. If your team has the bandwidth to act on data themselves, HubSpot AEO and Nightwatch are excellent at different price points. Enterprise organizations with compliance and governance requirements will find Conductor the most robust system of record. Whatever your starting point, the worst position is not measuring at all: Semrush’s data shows that 97% of brands in their study failed to appear consistently across all four major AI platforms — and the gap compounds over time for those who delay.

For a deeper look at how AI visibility connects to paid and organic performance, see our guides on connecting Claude to Google and Meta Ads via MCP and the broader relationship between GEO and conversion optimization.

1,000+ marketers use Ryze

Automating hundreds of agencies

★★★★★4.9/5

Frequently asked questions

What is AI share of voice and how is it calculated?

AI share of voice (AI SOV) is the percentage of brand mentions your company receives compared to competitors across AI-generated responses on platforms like ChatGPT, Gemini, Perplexity, and Google AI Overviews. The formula is: AI SOV = (brand citations ÷ total category citations) × 100. For example, if AI models mention brands 100 times across your tracked prompt set and your brand appears 28 times, your AI SOV is 28%. Unlike traditional SOV tied to ad spend or social volume, AI SOV measures how often AI assistants recommend or reference your brand when answering category-relevant questions.

How many AI assistants should I track for a complete picture of my brand's share of voice?

At minimum, track ChatGPT, Google AI Overviews, and Perplexity — these three platforms handle the vast majority of AI-assisted commercial queries in 2026. Semrush's AI Visibility Index 2026 found that mention-source overlap (how often a cited brand is also the source) varied by 34 percentage points between platforms, which means a brand can dominate on one assistant and be invisible on another. Adding Gemini and Claude rounds out the picture for enterprise brands. The tools that track all five simultaneously give the most reliable SOV numbers.

Why does my brand have strong SEO rankings but low AI share of voice?

SEO ranking and AI SOV measure different things. AI models don't crawl SERPs — they generate answers based on what they were trained on and what sources they've learned to trust. A brand can rank #1 for a keyword while being absent from AI answers if it lacks citations in the specific publications, directories, and authoritative sources that AI engines weight heavily in your category. The Drum reported in July 2026 that a brand with 10,000 media mentions can still be invisible in AI search if those mentions don't appear in AI-weighted sources. Building AI SOV requires a dedicated citation and content strategy on top of existing SEO.

What is a good AI share of voice benchmark for my industry?

LLM Pulse's 2026 research found that most B2B brands appear in fewer than 30% of relevant AI queries regardless of SEO strength, suggesting that even 30% AI SOV places a brand in the top tier for most categories. Semrush's AI Visibility Index found that only 36 of 1,200 studied brands appeared consistently across all four major AI platforms every month — the top of that list (YouTube) had 47.9 million mentions while the bottom (Nintendo) had 1.5 million. For most mid-market brands, a target of 25–40% AI SOV in your core category is a meaningful and achievable 12-month goal.

How often should I measure my brand's AI share of voice?

Monthly measurement is the minimum for meaningful trend data; weekly tracking is better for brands actively running AI SOV improvement campaigns. AI model behaviors shift as models are updated and retrained, and competitor content activity can move your SOV number quickly. The best tools (Nightwatch, HubSpot AEO, Ryze AI) run continuous monitoring and alert you to significant changes rather than requiring you to schedule manual prompt runs. For brands with limited resources, a monthly SOV audit across a defined prompt set of 50–100 queries gives a reliable baseline to work from.

What is the fastest way to improve my brand's AI share of voice?

The five highest-impact improvements, in order, are: (1) publish original research and unique data that AI engines cite as authoritative sources; (2) earn citations in the specific publications your category's AI answers draw from most heavily; (3) ensure your content directly and concisely answers the category-relevant prompts where you are currently absent; (4) add structured data and schema markup so AI engines can extract and verify your brand's claims easily; (5) close prompt gaps — the specific questions where competitors appear and you don't — with targeted content. Ryze AI automates steps 2 through 5 continuously, which is why users see measurable SOV gains within 6–8 weeks without manual effort.

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