What is AI share of voice for ChatGPT and Perplexity?

AI share of voice (AI SOV) is a metric that measures how frequently and prominently your brand appears in responses generated by AI answer engines like ChatGPT and Perplexity, relative to your competitors. The formula is: AI SOV (%) = (Brand Citations ÷ Total Category Citations) × 100. Unlike traditional SEO rankings, there is no position 1 in a ChatGPT answer — your brand is either in the synthesized response or it isn't. AI SOV captures that binary reality at scale across a defined set of category-relevant prompts.

How many prompts do I need to get reliable AI SOV data?

For a directional brand-reach baseline, 20–50 buyer-intent prompts run manually across ChatGPT and Perplexity on a weekly cadence is enough to establish whether you appear at all and roughly how often. For citation-based tracking with statistical reliability, use 100 prompts and a mid-tier automation tool. For competitive positioning with defensible data you can present to leadership, 100–200 prompts across platforms with position-weighted SOV is the standard. Always run each prompt at least twice per session and average results, since AI outputs vary between runs.

How is tracking brand visibility on Perplexity different from ChatGPT?

Perplexity includes numbered inline citations in every response, making it the only major AI platform where your visibility directly translates to trackable referral traffic. You can see exactly which of your pages were cited, how often, and alongside which competitors. ChatGPT does not provide this citation-level granularity — you can measure whether your brand was mentioned and in what context, but sourcing is less transparent. Perplexity also weights recency heavily, so citation patterns shift faster than on other platforms. This means a piece of fresh content or a new press mention can move your Perplexity SOV within days.

Can I track AI share of voice manually without a paid tool?

Yes — you can start manually using structured prompts, a shared spreadsheet, and GA4 dark-traffic segments to attribute AI referral visits. For each prompt response, record: brand mention (yes/no), citation present (yes/no), citation source domain, position in the answer, competitors mentioned, and sentiment. This works well for a directional baseline with 20–50 prompts. As your prompt panel grows beyond 50 and you need weekly tracking across both platforms, manual tracking becomes too time-intensive and automation with a dedicated AI visibility tool is the only practical approach.

What factors determine whether ChatGPT or Perplexity cites my brand?

The citation drivers differ by platform. ChatGPT relies on internet consensus — consistent cross-web brand mentions, third-party directories, and authoritative publications account for roughly 48.73% of its citations per Profound's analysis. Perplexity emphasizes recency, industry expertise, and customer reviews. Reddit is the single most-cited source across every major engine at roughly 40% frequency. For both platforms, being mentioned across high-authority third-party sources (review sites, industry publications, directories, and forums) is the most consistent predictor of citation frequency.

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

Weekly is the minimum cadence for actionable trend data, especially on Perplexity where citation patterns can shift within days of a competitor publishing new content or earning fresh press coverage. Quarterly audits are too slow — by the time you notice a displacement, a competitor may have established a durable citation advantage. For brands actively running content or PR campaigns to improve AI visibility, weekly tracking lets you attribute changes in SOV to specific actions and optimize accordingly. Automated tools like Ryze AI make weekly tracking practical without manual overhead.

Ira Bodnar·July 7, 2026·14 min read

How to track your brand’s share of voice across ChatGPT and Perplexity.

A complete 2026 playbook — from building your prompt panel and calculating AI SOV, to the 10 best tools that automate every step so you stop guessing and start winning citations.

Built by our community of 2,000 marketers

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Templates for Claude, ChatGPT and Perplexity.

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When a buyer asks ChatGPT “what’s the best project-management tool for a remote team?” there is no page-one rank to chase. Your brand either appears in the answer or it doesn’t — and right now, most brands have no idea which side of that line they’re on.

Tracking your brand’s share of voice across ChatGPT and Perplexity is the foundational skill of AI visibility in 2026. Without a baseline, every content or GEO fix you make is a guess.

Here is what the data says about why this matters right now — and what you can do about it:

Ahrefs Brand Radar now tracks 391+ million monthly prompts across six AI engines — up from essentially zero two years ago. The volume of AI-mediated buying decisions is no longer trivial.
A Profound analysis of 6.8 million citations across 1.6 million AI responses found that ChatGPT and Perplexity source content very differently: ChatGPT leans on third-party directories (48.7% of its citations), while Perplexity emphasises industry expertise and customer reviews.
5W Research’s 2026 Airlines & Hotels AI Visibility Index found that the top three brands captured over 70% of citation share in most subcategories — winner-takes-most dynamics identical to Google’s early days.

The AI SOV formula — and why it’s different from traditional share of voice

Traditional share of voice measures how much of your category’s advertising impressions or organic search clicks you own. AI share of voice measures something more direct: what percentage of AI-generated answers in your category mention your brand.

The core formula is simple:

AI Share of Voice (%)

= (Brand citations ÷ Total category citations) × 100

In practice: run a defined set of category-relevant prompts across ChatGPT and Perplexity. Count how many responses mention your brand. Divide by the total number of brand citations across all competitors in those responses. Multiply by 100. That is your AI SOV for that prompt set on that platform.

Track it per platform and in aggregate. ChatGPT and Perplexity return different citation patterns for the same prompt — knowing where you are strong and where you are invisible is the first actionable insight. To learn more about building the content that earns those citations, see our guide on connecting AI to your marketing workflow.

Beyond raw mention count, track four additional data points for every prompt response:

Presence status — absent, mentioned, recommended, or cited with a source link
Citation domain — which URL did the model pull from when referencing you?
Position in answer — first brand named carries far more weight than fifth
Sentiment and framing — are you described as “enterprise-grade” or “budget-friendly”? Does the framing match your positioning?
Competitor co-occurrence — which rivals appear alongside you (or instead of you)?

How do you build the right prompt panel for your brand?

The quality of your prompt panel determines everything. A poorly chosen set of prompts gives you data that does not reflect how your buyers actually use AI. Here is a tiered approach based on your resources and maturity:

Tier 1

Tier 1: Directional read (free, manual)

Start with 10–20 buyer-intent prompts that mirror real purchasing questions in your category. Examples: “best CRM for a 20-person SaaS team”, “top fintech platforms for B2B payments in Europe”, “which email marketing tool handles transactional and marketing emails together”. Run each on ChatGPT and Perplexity. Log results in a shared spreadsheet. Run each prompt at least twice and average, because AI outputs vary between sessions. Weekly cadence is the minimum for actionable trend data.

Tier 2

Tier 2: Citation-based tracking (mid-tier tool, $100–$250/mo)

Expand to 100 prompts covering your full competitive set. Focus especially on Perplexity, where every response includes numbered inline citations — you can see not just whether you were mentioned but which exact URL the model pulled from. This is the tier where you discover that a three-year-old TechCrunch article is your most-cited asset, or that a competitor’s G2 profile is outranking your own homepage in AI answers.

Tier 3

Tier 3: Competitive position plus business impact (enterprise, $300+/mo)

Run 100–200 prompts across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Apply position-weighting (first mention scores higher than fifth). Connect citation data to GA4 dark-traffic attribution to build a business-impact narrative your CFO will trust. At this tier you are treating AI SOV as a board-level metric alongside market share.

Prompt types to include: category queries (“best [product] for [use case]”), comparison queries (“[brand A] vs [brand B]”), problem-first queries (“how do I solve [pain point]”), and branded queries (“what is [your brand] known for”). Each type reveals a different dimension of AI visibility. For a deeper dive into prompt strategy, see our piece on AI visibility fundamentals at Ryze AI.

ChatGPT vs Perplexity: why the same brand scores differently on each

This is the most underappreciated nuance in AI share of voice tracking. ChatGPT and Perplexity are not interchangeable. They have distinct source-selection architectures that reward different content strategies — which means your SOV can look completely different on each platform.

Dimension	ChatGPT	Perplexity
Citation transparency	Rarely shows sources inline	Numbered inline citations on every answer
Primary content signal	Third-party directories, consensus web (48.7% of citations)	Industry expertise, review sites, recency
Update speed	Training cutoff + Bing/Search integration	Real-time web crawl; citations shift within days
What wins citations	Consistent cross-web brand mentions, Wikipedia, G2/Capterra	Fresh expert content, authoritative niche sites, Reddit
Trackable referral traffic	Hard to attribute directly	Yes — citations are clickable, GA4-trackable
Response variance	High — run each prompt 2x minimum	Moderate — more consistent due to real-time grounding

Because Perplexity’s 3-layer reranking model weights recency heavily, citation patterns there shift faster than on any other platform. A competitor that publishes a strong comparison article today can displace you in Perplexity answers within 48 hours. Static, quarterly audits are useless at this pace — you need continuous tracking.

ChatGPT, by contrast, draws heavily on what the broader internet consensus says about your brand. Reddit is the single most-cited source across every major AI engine at roughly 40% frequency (Profound, 2026). If your brand has thin or negative Reddit presence, your ChatGPT SOV will suffer regardless of how good your website content is. See how this connects to your broader AI marketing strategy for a fuller picture.

All 10 tools and approaches, at a glance

Rank	Tool / Approach	Best for	From	Rating
01	Ryze AI Winner	Autonomous AI SOV tracking + GEO fixes	Flat fee	4.9/5
02	Siftly	Real-time AI brand monitoring	$55/mo	4.7/5
03	Ahrefs Brand Radar	Largest prompt dataset for SOV	~€358/mo	4.5/5
04	Profound	Citation accuracy + source analysis	Custom	4.6/5
05	OptimizeGEO	Automated SOV across 5 LLMs	Custom	4.4/5
06	Peec AI	AI shopping + product-level visibility	Custom	4.5/5
07	Trakkr	ChatGPT SOV + position weighting	$99/mo	4.3/5
08	Semrush AI Visibility Index	Enterprise SOV benchmarking	Custom add-on	4.4/5
09	Lumentir	Business-impact-focused AI tracking	$55/mo	4.3/5
10	Manual Spreadsheet Method	Zero-budget baseline, any brand	Free	N/A

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The rest of the field

Tools #2–#10, tested and ranked

02Best for real-time AI brand monitoring

Siftly

Siftly is purpose-built for AI brand monitoring. You add your company, named competitors, and the topics you care about; Siftly generates a monitoring prompt set tailored to your market and runs it on a regular cadence across ChatGPT, Claude, Perplexity, and Google AI Overviews simultaneously.

The platform’s share-of-voice feature calculates your citation percentage per platform and in aggregate, trending it over time without manual tracking. Alerts push to Slack or email when your SOV shifts materially, which is critical given how fast Perplexity citation patterns change. At $55/month with a free trial, it is the most accessible paid entry point in this roundup.

PricingFrom $55/mo with a 7-day free trial

ProsMonitors ChatGPT (GPT-4o, GPT-5, o1), Claude, Perplexity, and Google AI Overviews; auto-generates monitoring prompts; Slack/email/webhook alerts

ConsDoes not access the consumer UI directly on all platforms — some queries route through developer APIs

VerdictBest for marketing teams that want a fast, affordable pipeline from Day 1 brand intelligence to weekly action

03Best for the largest prompt dataset

Ahrefs Brand Radar

Ahrefs Brand Radar is the most data-dense option in this list. Its 391+ million monthly prompt dataset is drawn from real user behavior rather than synthetic queries, which makes its SOV benchmarks more reflective of actual buyer activity than smaller curated panels.

The trade-off is cost and scope: at €654/month for all six platforms, it is priced for enterprise SEO teams and agencies, not individual brand managers. The lack of Claude and Grok coverage is a genuine gap as those platforms gain traction. For brands already paying for Ahrefs at enterprise tier, Brand Radar is the natural AI SOV add-on — for everyone else, start with a more affordable dedicated tool and graduate up.

Pricing~€358/mo for select platforms; ~€654/mo for all six (no free trial)

Pros391+ million monthly prompts; covers AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot; draws from real user behavior data

ConsNo native Claude or Grok coverage; expensive; no free trial; can feel like overkill for smaller brands

VerdictBest for SEO-mature teams that already live inside Ahrefs and want AI SOV layered onto their existing workflow

The tracking vs. fixing gap

Every tool in this roundup tells you your AI share of voice. Ryze AI is the only one that also fixes it — identifying which content gaps are suppressing your citations across ChatGPT and Perplexity, then implementing GEO-optimized content and authority signals around the clock. See how Ryze AI works at get-ryze.ai.

04Best for citation accuracy and source-tier analysis

Profound

Profound is the most rigorous option for brands where citation accuracy is non-negotiable. Its analysis of 6.8 million citations across 1.6 million AI responses (the most comprehensive public dataset published to date) revealed the sourcing patterns now used by the entire industry as reference benchmarks.

Its source-tier analysis goes beyond “were you cited” to “which type of content earned the citation” — brand-owned pages, third-party directories, review platforms, or news coverage. For financial services, healthcare, or legal brands where citation source matters as much as citation frequency, this depth is worth the enterprise price. Brands looking to act on Profound’s findings will still need a separate content execution layer, which is where Ryze AI integrates as the fix engine.

PricingCustom (enterprise; contact for pricing)

ProsHighest citation accuracy in independent tests; source-tier analysis shows which URL type earns citations; compliance-grade audit trail

ConsSales-led onboarding, custom pricing makes budgeting opaque, overkill for brands under $10M revenue

VerdictBest for compliance-sensitive industries and large brands that need board-level AI citation reporting

05Best for automated SOV across all five major LLMs

OptimizeGEO

OptimizeGEO positions itself as the GEO dashboard: a single pane of glass showing your AI SOV across ChatGPT, Gemini, Perplexity, Claude, and Copilot simultaneously. Submit your prompt panel, and the platform runs every query at scale, returns per-platform and aggregate SOV, and trends it over time without any manual tracking.

The platform explicitly acknowledges a core tracking challenge: because ChatGPT responses vary between sessions, each prompt must be run at least twice and the results averaged. OptimizeGEO handles that averaging automatically, which removes one of the biggest sources of unreliable manual data. Custom pricing means you will need a sales conversation before committing, but for teams that need omni-LLM SOV in a single report, it is the most comprehensive dedicated option in this tier.

PricingCustom (contact for pricing)

ProsRuns full prompt sets across ChatGPT, Gemini, Perplexity, Claude, and Copilot simultaneously; trending over time; per-platform and aggregate SOV in one dashboard

ConsOpaque pricing, newer platform with a shorter track record than incumbents

VerdictBest for brands ready to monitor all five major AI engines at once without managing five separate tool subscriptions

Your brand’s AI visibility, tracked and improved on autopilot.

✓Monitors your citations across ChatGPT, Perplexity, Gemini and more
✓Finds the content gaps suppressing your AI share of voice
✓Implements GEO fixes and authority signals around the clock

2,000+

Marketers

$500M+

Ad spend

Countries

06Best for AI shopping and product-level visibility

Peec AI

Peec AI launched its AI Shopping Analytics in June 2026 to address a gap no other tool covered: product-level visibility inside AI shopping answers. As ChatGPT and Perplexity increasingly surface specific product recommendations rather than just brand mentions, knowing which of your SKUs appear (and which competitors’ SKUs appear instead) is a new category of competitive intelligence.

For DTC and e-commerce brands, this is increasingly critical. Peec AI tracks every product in a catalog across AI shopping answers and surfaces which recommendations are driving or suppressing purchase consideration. The upcoming Shopping Actions feature will add specific, ranked recommendations for improving product pages based on what AI engines actually evaluate. For brands focused purely on brand-level SOV rather than product-level, one of the other tools in this list is a better fit.

PricingCustom (contact for pricing)

ProsTracks product-catalog-level citations across AI shopping answers in ChatGPT and Perplexity; AI Shopping Actions roadmap for ranked product-page improvements

ConsNewer platform; brand-level SOV is secondary to product-level focus; API access in beta

VerdictBest for e-commerce brands selling products that now appear in ChatGPT shopping recommendations

07Best for ChatGPT SOV with position weighting

Trakkr

Trakkr solves one of the most common mistakes in manual AI SOV tracking: treating a fifth-place mention as equal to a first-place mention. Its position-weighted SOV calculation gives more credit to brands named earlier in an AI response, producing a metric that better reflects actual user attention and purchase influence.

The platform also tracks mention context and descriptive framing alongside raw citations — so you discover not just that ChatGPT mentions you, but whether it describes you as “enterprise-focused” or “affordable for small teams” and whether that framing matches your intended positioning. At $99/month, it sits at an accessible mid-market price point for brands that have outgrown spreadsheets but are not yet ready for enterprise contracts.

PricingFrom $99/mo

ProsTracks ChatGPT, Claude, Gemini, Perplexity, and other AI systems; position-weighted SOV calculation; standardised testing framework

ConsNewer entrant; less established than Siftly or Ahrefs for multi-platform coverage

VerdictBest for teams that want position-weighted SOV scores rather than raw mention counts

08Best for enterprise SOV benchmarking

Semrush AI Visibility Index

Semrush launched its AI Visibility Index in October 2025, drawing on a database of over 213 million LLM prompts. For brands already investing in Semrush at the enterprise tier, it is the most frictionless way to add AI SOV to an existing reporting stack — your AI citation benchmarks sit alongside your keyword rankings, backlink data, and PPC analytics in a single platform.

The limitation is that AI Visibility Index is additive to an existing subscription rather than a standalone product, making it expensive to access purely for SOV tracking. Brands that do not already use Semrush will find better value in a dedicated AI monitoring tool. For those that do, the integration value is significant, particularly when correlating AI SOV shifts with organic traffic changes in the same interface.

PricingCustom add-on to existing Semrush enterprise plans

Pros213+ million LLM prompt database; integrates with existing Semrush SEO and PPC workflow; launched October 2025

ConsPriced for enterprise; requires existing Semrush subscription; newer feature with less track record

VerdictBest for enterprise marketing teams already inside Semrush who want AI SOV as part of their unified search reporting

09Best for connecting AI visibility to business outcomes

Lumentir

Lumentir stands apart with its core question: what does AI visibility actually produce for your business? While most tools calculate citation counts and SOV percentages, Lumentir ties those metrics to a commercial impact framework, helping you translate “we appear in 34% of relevant ChatGPT answers” into language leadership teams will act on.

The platform also takes a more rigorous approach to data quality: where most tools query AI models through developer APIs (fast but potentially unrepresentative), Lumentir accesses actual AI platform interfaces from real geographic regions — meaning the data reflects what your actual audience encounters, not what the API returns. At $55/month, it is competitively priced against Siftly for teams where ROI attribution is the primary need rather than raw citation volume.

PricingFrom $55/mo with a 7-day free trial

ProsFocuses on what AI visibility produces commercially, not just citation counts; covers ChatGPT, Perplexity, Gemini, Copilot, AI Overviews, AI Mode, Meta AI, Grok; accesses actual platform interfaces from real geographic regions

ConsNewer platform; business-impact framing is compelling but harder to validate without historical data

VerdictBest for brand and growth leaders who need to answer ‘what is AI visibility worth in revenue?’ rather than just ‘are we mentioned?’

10Best zero-cost baseline for any brand

Manual Spreadsheet Method

Before spending a dollar on any platform, run the manual spreadsheet method for two weeks. Build a Google Sheet with columns for: prompt text, platform (ChatGPT / Perplexity), run date, brand presence status (absent / mentioned / recommended / cited with link), citation URL, competitor mentions, and answer sentiment. Run each prompt twice on each platform and average the results.

The value of this exercise is not the data itself — it is the intuition you build about how AI engines interpret your category. You will discover which prompts reliably surface competitors and which never mention anyone in your space. You will notice that Perplexity cites your old PR coverage while ChatGPT pulls from a review site you never knew existed. That ground-level understanding makes every subsequent tool investment more effective. Once you have a 30-prompt baseline, the manual method becomes unmanageable at scale and you will know exactly what to look for in a paid platform. For a practical walkthrough of turning these insights into action, see our guide on AI content strategy at Ryze AI.

PricingFree (your time is the cost)

ProsZero budget required; teaches you the fundamentals before you invest in tooling; works immediately

ConsTime-intensive, does not scale beyond 20-30 prompts, manual averaging is error-prone, no trend automation

VerdictBest as your first two weeks of AI SOV data before you commit to a paid tool — every brand should start here

Daniel K.

VP of Growth
B2B SaaS Scale-up

★★★★★

“

We had no idea ChatGPT was recommending two of our competitors in 80% of the category prompts we care about. Ryze showed us the gap, then fixed our content to earn those citations — we went from 12% AI SOV to 41% in eight weeks.”

+29pp

AI SOV lift

8 weeks

Time to result

Manual prompts now

How do you choose the right AI SOV tracking approach for your brand?

With 10 options from free to enterprise, the right choice comes down to three questions: how much do you need to automate, which platforms matter most for your buyers, and whether you want to track SOV or also improve it.

Decision 1

Do you want to track your AI SOV, or also fix it?

Track AND fix automatically: Ryze AI
Track across all five LLMs in one dashboard: OptimizeGEO, Siftly
Track with the largest dataset: Ahrefs Brand Radar, Semrush AI Visibility
Just establish a baseline: Manual spreadsheet method

Decision 2

Which platforms are most important to your buyers?

ChatGPT is your primary channel: Trakkr or Siftly (best ChatGPT coverage)
Perplexity is your primary channel: Siftly or Lumentir (strong Perplexity + citation link tracking)
You need all five LLMs monitored: OptimizeGEO, Profound, or Ryze AI
E-commerce with AI shopping recommendations: Peec AI

Decision 3

What is your team's budget and technical capacity?

Zero budget: Manual spreadsheet method for 2–4 weeks, then reassess
Under $100/month: Siftly ($55/mo) or Lumentir ($55/mo)
$100–$400/month: Trakkr or Ahrefs Brand Radar (select platforms)
Enterprise budget: Profound, Semrush AI Visibility, or OptimizeGEO

The bottom line: if you want a tool that monitors your AI share of voice across ChatGPT and Perplexity and then fixes the content and authority gaps suppressing it — without manual prompt-running or a separate content team — Ryze AI is the pick. If you only need monitoring, Siftly is the most accessible paid starting point and the manual method costs nothing. Many brands run the manual method for a month to get intuition, upgrade to a mid-tier monitoring tool, and add Ryze AI once they understand which content levers to pull. For a deeper look at how AI visibility connects to your organic search strategy, see our article on connecting Claude to your ad platforms.

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Frequently asked questions

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

AI share of voice (AI SOV) measures what percentage of AI-generated answers in your category mention your brand relative to competitors. The formula is: AI SOV (%) = (Brand citations ÷ Total category citations) × 100. Run a defined set of buyer-intent prompts across ChatGPT and Perplexity, count how many responses cite your brand, divide by total brand citations across all competitors in those responses, and multiply by 100. Track per platform and in aggregate.

How do I track my brand's share of voice across ChatGPT and Perplexity manually?

Build a Google Sheet with columns for prompt text, platform, run date, brand presence status (absent/mentioned/recommended/cited), citation URL, competitors mentioned, and answer sentiment. Run each prompt at least twice on each platform and average results because AI outputs vary between sessions. Start with 10–20 category-relevant prompts on a weekly cadence. This manual approach is free and builds the intuition you need before investing in a paid tool.

Why does my brand appear differently in ChatGPT versus Perplexity?

The two platforms use different source-selection architectures. ChatGPT weights third-party directories and cross-web consensus (about 49% of its citations come from directory-type sources). Perplexity weights recency, industry expertise, and customer reviews using a real-time web crawl. Reddit is the single most-cited source across both at roughly 40% frequency. A brand with strong G2 and Capterra presence often does better on ChatGPT; a brand with fresh expert content does better on Perplexity.

How often should I run AI SOV tracking prompts?

Weekly is the minimum for brands actively working on AI visibility. Perplexity citation patterns can shift within 48 hours of a competitor publishing strong content, so quarterly audits are essentially useless for competitive intelligence. For brands in fast-moving categories, daily automated tracking (via tools like Siftly or Ryze AI) is increasingly the standard. Manual tracking is fine to start but becomes unmanageable beyond 30 prompts per week.

What is the best tool for tracking brand share of voice in ChatGPT and Perplexity?

Ryze AI is the top overall pick because it both tracks your AI SOV and fixes the content and authority gaps suppressing it — most tools only do one or the other. For monitoring alone, Siftly ($55/mo) is the most accessible paid entry point, Ahrefs Brand Radar has the largest prompt dataset (391+ million monthly prompts), and Profound offers the most rigorous citation accuracy for enterprise or compliance-sensitive brands. Start with the free manual method if you have no budget.

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

The highest-impact fixes are: (1) earning citations on the source types each platform favours — directories and Reddit for ChatGPT, fresh expert content and review sites for Perplexity; (2) publishing structured comparison and use-case content that mirrors buyer-intent prompts; (3) building third-party authority through PR, analyst mentions, and community engagement. Ryze AI automates the implementation of these fixes. For a strategic overview, see our content on AI visibility and GEO fundamentals.

Track and grow your AI share of voice

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