More buyers are researching vendors through ChatGPT, Gemini, Perplexity, Claude, Copilot and Google's AI features before they ever visit a website. For marketing and SEO teams, this is a major change to a strategy that has been built for years around rankings, impressions and organic traffic. If AI answers satisfy more searches without a click, the question is no longer only where the company ranks. It is whether the company is mentioned, cited, recommended or left out when buyers ask for help.
AI referral traffic is still small compared with traditional organic search, but the visits can be much more valuable. Semrush found that the average visitor from LLMs and AI search sources was worth 4.4 times more than the average traditional organic search visitor, based on conversion rate. That matters for both B2B and B2C.
Marketing teams do not only need to know how much traffic AI search sends. They need to know whether the brand appears when people compare options, what the answer says about it and which competitors show up instead.
For SEO teams, AI search makes measurement messier. The traffic can still be small, but it may carry a lot of conversion value. At the same time, visibility often happens before the click: inside answers, citations, comparisons and recommendations that do not show up neatly in classic SEO reports. This is where generative engine optimization tools, AI visibility tools and LLM tracking tools become useful.
The LLM visibility tool market is already crowded, from big players like Semrush and Ahrefs to newer specialist platforms built only for AI search monitoring. We tested 20 GEO tools against the same criteria, so the comparison focuses on what each platform actually measures, not just what it claims to do.
Semrush AI Visibility Toolkit
Semrush's AI Visibility Toolkit adds AI search tracking to its existing SEO platform. Semrush enters this list with the credibility, pricing and expectations of an established SEO platform. The toolkit largely meets that standard by adding serious AI search tracking inside a workflow many SEO teams already use. I
t follows brand visibility across ChatGPT, Google AI results, Gemini and Perplexity. It also connects this information with keyword research, competitor tracking and other Semrush features.
This makes it useful for SEO and marketing teams that already depend on Semrush. They can add AI visibility tracking without changing their main workflow.
The base plan covers 25 custom prompts each day and includes Brand Performance, competitor research and AI Search Checks. It is a practical choice for teams just starting to measure AI visibility.
In practice, a team sets up a domain, selects relevant prompts and competitors, and reviews daily tracking results alongside standard SEO metrics. The main constraint is the prompt allowance: 25 prompts can run out quickly for a B2B company covering several products, markets or buyer personas. Teams needing deeper prompt coverage may want a specialist alternative alongside it.
- AI platforms tracked: ChatGPT, Google AI experiences, Gemini, Perplexity
- Core workflow: AI search monitoring inside a broader SEO workflow
- Key features: Brand Performance tracking, 25 custom prompts tracked daily, competitor research, prompt research, AI Search Checks
- Pricing model and cost drivers: From $99/month per domain; prompts and domains add cost
- Limitations and best-fit user: Best for SEO teams already using Semrush; 25 prompts can feel restrictive for multi-product companies
Ahrefs Brand Radar
Brand Radar extends Ahrefs' SEO platform into AI visibility with a two-layer approach. Ahrefs brings the same advantage as Semrush: an established SEO platform, a serious product budget and higher expectations.
Brand Radar is one of the stronger LLM visibility tools we reviewed because it combines broad discovery data with custom prompt tracking. One layer draws on a large, existing discovery dataset, which Ahrefs describes as analysing more than 405 million search-backed prompts; the other lets teams build custom prompts, choosing the assistant, location and how often tracking runs.
It is a strong fit for SEO and brand teams that want to understand both the broad market picture and a specific set of strategic questions in one place.
Reported metrics include mentions, citations, estimated impressions and AI share of voice, all defined according to Ahrefs' own methodology rather than treated as generic terms.
Competitor discovery can expose questions where other brands already appear in AI answers. That information becomes meaningful when the tracked prompts reflect genuine business priorities. Yet the strongest data comes from questions tied closely to the company’s products, market and customers. Without that focus, impressive coverage can still produce results that have little value for real decisions.
- AI platforms tracked: ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews and AI Mode (via custom prompts, plus large-scale search-backed discovery)
- Core workflow: market-wide AI visibility discovery combined with strategic custom prompt tracking
- Key features: 405+ million search-backed prompts analyzed, custom prompts by assistant/location/frequency, mentions, citations, estimated impressions, AI share of voice
- Pricing model and cost drivers: From $199/platform; $699/month for all-platform access
- Limitations and best-fit user: Best for SEO and competitive-intelligence teams; large discovery dataset does not replace a curated B2B prompt list
Profound
Profound is a dedicated answer-engine visibility platform built for prompt tracking, brand visibility, citations, sentiment and competitor monitoring across supported AI engines. It is not trying to replace a full SEO suite, which makes the positioning clearer: this is mainly for teams that want AI visibility reporting as its own workflow.
The fit is strongest for mature marketing, SEO or GEO teams that need structured reporting across prompts, competitors and citation sources. The reporting includes citation sources, sentiment around brand mentions, and comparisons with competitors tracked through the same prompts. Budget planning matters here. Starter only supports ChatGPT, Growth covers three engines, and Enterprise offers more flexibility for complex international monitoring.
In practice, teams configure recurring prompts and monitor citation and sentiment trends over time rather than checking answers manually, using the resulting reports to spot changes in visibility as competitors publish new content or models update.
Buyers should read the entry price carefully, because the lowest tier is not the full multi-engine setup. Any vendor claims about proprietary conversation data or real-user prompts should be treated as vendor-stated methodology unless the tool explains exactly how that data is collected.
- AI platforms tracked: ChatGPT (Starter); three engines (Growth); broader engine access (Enterprise)
- Core workflow: recurring prompt monitoring and answer-engine intelligence
- Key features: brand visibility tracking, citation analysis, sentiment, competitor tracking, answer-engine reporting
- Pricing model and cost drivers: From $99/month annually; broader engine coverage costs more
- Limitations and best-fit user: Best for mature marketing and enterprise GEO teams; entry price covers ChatGPT only
Peec AI
Peec AI is a dedicated AI search analytics platform rather than part of a wider SEO suite. It currently supports ChatGPT, Google AI Mode, AI Overviews, Copilot, Perplexity and Gemini, though standard plans let a team pick three models to track rather than monitoring all of them simultaneously by default.
Its main advantage is practical day-to-day monitoring. Visibility data refreshes every day, so changes around competitors or the brand appear relatively quickly. Starter includes 50 prompts, Pro includes 150 and Advanced includes 350. Project limits expand too, giving larger teams more room to organize tracking.
Setting it up means choosing models, defining prompts and reviewing daily tracking results by project, with each project acting as its own contained workspace for a market or campaign. Enterprise adds a wider model set, API access for pulling data into other systems, SSO for larger organizations, and unlimited projects for teams running many markets at once.
Buyers should check one point carefully: supported models and included models in a specific plan are not the same thing, so confirm what a chosen plan actually covers before comparing cost across tools.
- AI platforms tracked: ChatGPT, Google AI Mode, AI Overviews, Copilot, Perplexity, Gemini (standard plans choose three)
- Core workflow: AI search analytics with prompt- and model-based tracking
- Key features: daily monitoring, tiered prompt allowances, project-based tracking, Enterprise API and SSO
- Pricing model and cost drivers: From $95/month; prompts and models drive cost
- Limitations and best-fit user: Best for agencies and international teams; supported models are not all included by default
OtterlyAI
OtterlyAI covers ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot, while Gemini and Claude are paid extras. On paid plans, results update daily. This gives teams a practical timeline for reviewing changes after new pages, media coverage or product announcements. Daily data does not remove variation between AI answers, but it helps confirm whether a movement repeats before the team decides how to respond.
It suits smaller and mid-sized businesses, along with agencies, that want accessible specialist monitoring without the complexity of a large enterprise platform. The Brand Visibility Index gives a single trackable number for overall presence over time, citation analysis shows which sources AI answers pull from, prompt research helps identify new questions worth tracking.
GEO audits assess how well existing content is positioned to be understood or referenced in AI answers. Prompt allowances run from 15 on Lite to 100 on Standard and 400 on Premium, with larger custom configurations available on Enterprise.
The first test is low-commitment: users get seven days and 50 prompts without entering card information. Data can be exported for external use, while larger plans support API/MCP connections and Looker Studio. The pricing becomes more important once tracking expands internationally, since each country takes another prompt slot and some engines are available only at additional cost.
- AI platforms tracked: Google AI Overviews, ChatGPT, Perplexity, Microsoft Copilot (standard); AI Mode, Gemini, Claude (paid add-ons)
- Core workflow: AI search monitoring and GEO auditing
- Key features: Brand Visibility Index, citation analysis, prompt research, GEO audits, exports; API/MCP and Looker Studio on higher plans
- Pricing model and cost drivers: Plan-based; 15/100/400 prompts across Lite/Standard/Premium, custom Enterprise; 7-day free trial with 50 prompts
- Limitations and best-fit user: Best for smaller and mid-sized businesses and agencies; each country and extra engine add cost
Scrunch
Built as a dedicated AI search and agent-experience platform, Scrunch tracks brand presence across AI platforms such as ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews and Meta. It is especially useful for companies that need to understand how different buyer groups see them in AI answers. The Starter tier provides 350 custom prompts, 1,000 industry prompts, three personas and five page audits, organized around a Prompt Manager workflow.
Pricing starts higher than many entry-level AI visibility tools, so the value depends on whether the team will use the persona tracking, audits and deeper segmentation.
Scrunch helps companies see how their AI visibility changes across different buyer groups. A CTO may search for features, while a CFO may focus on price or business value. Prompt Manager organizes the results by persona and topic. The platform also tracks citations, reviews website pages for AI access and records visibility trends. This level of detail is useful for established brands that cannot rely on one overall score.
Due to its significantly higher price than many entry-level AI visibility tools, Scrunch is not a casual starter option. Teams should make sure the use case really fits the product: persona tracking, page audits, Signals, Explorer and deeper segmentation. It is better suited to companies tracking different buyer groups than teams that only need basic brand mention monitoring.
- AI platforms tracked: ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, AI Overviews, Meta
- Core workflow: AI search and agent-experience visibility, including persona-based prompt tracking
- Key features: Prompt Manager, personas, citations, page audits, trends, Signals and Explorer (change detection)
- Pricing model and cost drivers: From $250/month annually (or $300 month-to-month); 7-day trial
- Limitations and best-fit user: Best for mature brands needing persona segmentation; check current pricing, not older help pages
AthenaHQ
AthenaHQ is an AEO/GEO platform that tracks brand visibility across ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, Google AI Overviews and AI Mode. It monitors tracked prompts and questions people may ask these platforms and shows where a brand appears. Teams can also see competitor presence, sentiment and the sources used in AI answers.
The platform goes further than basic monitoring. It can show where a brand is missing from relevant conversations and which sources or competitors are appearing instead. AthenaHQ then uses those findings to highlight content gaps and suggest areas that may need attention. This makes it more useful for brands that want to do something with their AI visibility data rather than simply report it.
AthenaHQ does not publish exact pricing or the factors that determine the final cost. Companies need to contact the sales team for a quote. Results shared in AthenaHQ case studies also apply to those specific customers and should not be treated as results every company will achieve.
- AI platforms tracked: ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot, Grok, Google AI Overviews, Google AI Mode
- Core workflow: AI search monitoring connected to GEO/AEO optimization actions
- Key features: Prompt monitoring, brand mention tracking, sentiment analysis, share of voice, competitor monitoring, citation-source analysis, content-gap identification, optimization recommendations
- Pricing model and cost drivers: Custom/quote-based; exact pricing and cost drivers not public
- Limitations and best-fit user: Best for brands combining AI visibility monitoring with GEO actions; lack of public pricing makes upfront cost comparison difficult.
SE Visible / SE Ranking
SE Visible is SE Ranking's AI visibility product, extending the company's broader SEO ecosystem into AI search with tracking across different AI Platforms. Basic starts at 200 prompts and roughly 12,000 analyzed answers per month, scaling upward through Core and Plus.
The tool works well for SEO teams that want to start tracking AI search without replacing the SEO tools they already use. PR and brand teams can also manage several projects from the same platform. It tracks brand appearances, average position in AI answers, competitor visibility, sentiment and cited sources. Local prompt suggestions help adapt tracking to different markets.
Teams can use projects to separate AI visibility reporting by client or market. Prompts can be chosen specifically for each project rather than using the same questions everywhere. Sentiment reports show how the brand is discussed while source data identifies cited websites.
Buyers should compare SE Visible separately from other SE Ranking AI add-ons, so they know exactly which product, prompt volume and analyzed-answer limits they are paying for.
- AI platforms tracked: ChatGPT, Gemini, Google AI Mode, Perplexity, Google AI Overviews
- Core workflow: dedicated AI visibility product backed by a broader SEO ecosystem
- Key features: mentions, average position, visibility share, sentiment, competitors, sources, localized prompt/topic suggestions
- Pricing model and cost drivers: From $99/month; 10-day free trial; plans differ by prompt and analyzed-answer volume
- Limitations and best-fit user: Best for SEO teams moving into GEO and PR teams needing multi-project reporting; keep distinct from other SE Ranking add-ons
Adobe LLM Optimizer
Adobe LLM Optimizer is an enterprise LLM visibility and optimization product, priced around annual tracked-prompt volume. It starts at a minimum of 1,000 prompts and scales in increments of 200. Prompts are analyzed daily, with insights consolidated into weekly trend reports for ongoing review.
This product is built for large enterprises that require significant prompt capacity, governance controls and tight integration with Adobe or Adobe Experience Manager content systems already in place. AI visibility metrics show how consistently a brand appears, mentions and citations are tracked separately so teams can see naming versus actual sourcing.
Weekly trends reveal momentum in either direction, and optimization recommendations give content teams clear actions to review.Auto-Optimize can act on findings directly within eligible Adobe or AEM environments, closing the loop between monitoring and execution without switching tools.
Another useful part of LLM Optimizer is that it looks beyond visibility inside AI answers. It can also show how AI systems interact with the website itself. Teams can review traffic coming from AI tools and spot pages that are difficult for AI agents to access. This can reveal technical issues that basic visibility tracking would not show.
- AI platforms tracked: enterprise-scale AI engine coverage tied to prompt volume licensing
- Core workflow: enterprise LLM visibility monitoring with optimization actions
- Key features: AI visibility, mentions, citations, trend analysis, optimization recommendations, Auto-Optimize (eligible Adobe/AEM environments)
- Pricing model and cost drivers: Annual quote; minimum 1,000 active tracked prompts, add in increments of 200
- Limitations and best-fit user: Best for large enterprises needing governance and integration; confirm current packaging given Adobe's Semrush acquisition
Conductor AI Search Performance
Conductor AI Search Performance takes an existing enterprise SEO platform and builds AI-search tracking straight into it. A useful detail here is how it separates two things that often get mixed up. Getting mentioned by an AI tool is one signal. Actually being cited as the source behind an answer is another. Conductor tracks both without merging them into a single confusing number.
The platform tracks prompts and topics over time. It tracks sentiment around each mention and shows trends so teams can see if visibility is growing or shrinking. Teams can also group everything by persona. This helps because a CFO and a technical buyer often ask very different questions about the same product.
Conductor pulls data mainly through APIs when that option is available for a given engine. Pricing works through credits. Different AI engines use up credits at different speeds depending on how expensive that engine is to query.
This setup fits large SEO and content teams already running big search programs. Smaller teams needing only basic mention tracking will likely find it more than they need.
- AI platforms tracked: enterprise-scale AI search coverage via API-based and other collection methods
- Core workflow: enterprise SEO/AEO platform with integrated AI-search measurement
- Key features: distinct brand mention vs. citation tracking, prompts, topics, competitors, sentiment, trends, share-of-voice comparisons
- Pricing model and cost drivers: Usage-based; AI Response Credits, consumption varies by engine
- Limitations and best-fit user: Best for larger SEO/content organizations already running enterprise workflows
seoClarity ArcAI
seoClarity ArcAI takes an established enterprise SEO platform and builds a full AI-search layer on top of it. The tool tracks mentions and citations across ChatGPT, Perplexity, Google AI Mode, AI Overviews and Gemini. It also reaches into DeepSeek, Anthropic, Copilot and Grok. On top of that it handles prompt research, sentiment tracking, reporting and content optimization aimed specifically at AI-generated answers.
Prompt packages start at 500 queries. Teams can add two additional capabilities One tracks bot activity, showing how AI crawlers actually move through a website. The other checks brand and answer accuracy, flagging when an AI system describes the company incorrectly or invents details that were never true. That second layer matters a lot for companies where a wrong description could cause real damage, not just a missed mention.
This makes ArcAI a solid pick for large organizations that care as much about getting the facts right as about simply showing up.
Pricing works through a separate quote, kept apart from the regular seoClarity SEO subscription. Buyers should confirm both costs directly instead of assuming one price covers everything.
- AI platforms tracked: ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, plus DeepSeek, Anthropic, Copilot, Grok
- Core workflow: enterprise SEO platform with AI-search visibility and optimization layer
- Key features: mentions, citations, prompt research, sentiment, reporting, AI content optimization, optional bot activity and answer-accuracy monitoring
- Pricing model and cost drivers: Quote-based ArcAI packages; priced separately from broader SEO subscription
- Limitations and best-fit user: Best for enterprises concerned with answer accuracy as well as visibility
BrightEdge AI Catalyst
As part of BrightEdge's enterprise SEO platform, AI Catalyst extends tracking into AI search, currently covering Google AI Overviews, ChatGPT and Perplexity. Its prompt research pulls from BrightEdge's own search data and Copilot, so the questions being tracked reflect what people are actually searching for rather than a generic starting list.
The visibility analysis goes beyond a simple yes or no on whether a brand appears. It looks at brand presence alongside specific buyer personas. It also maps results to buyer intent and to different stages of the customer journey, from early research through final decision. This depth makes the tool more useful for teams already working inside BrightEdge than for teams looking for a lightweight standalone tracker.
AI Catalyst comes included with existing BrightEdge SEO Platform subscriptions. Enterprise pricing needs a direct quote from the sales team. It works best for current BrightEdge customers and larger SEO teams already comfortable in that ecosystem.
Its public engine list is smaller than some specialist GEO tools, the persona, intent and journey-stage analysis may still make it a strong fit for the right enterprise buyer.
- AI platforms tracked: Google AI Overviews, ChatGPT, Perplexity
- Core workflow: enterprise SEO platform with integrated AI-search capabilities
- Key features: AI-search prompt research using existing search data, brand presence, persona and intent-based visibility analysis
- Pricing model and cost drivers: Included with BrightEdge SEO Platform subscriptions; enterprise pricing requires a quote
- Limitations and best-fit user: Best for existing BrightEdge customers; documented engine coverage is narrower than several specialist tools
Authoritas AI Platform
Authoritas AI Platform is a platform built to monitor brand visibility across ChatGPT, Claude, Gemini, Perplexity, Bing Copilot and Google AI experiences. It gathers data through two channels. One is direct API integration. The other is browser and interface crawling. Using both together fills gaps that would exist with only one collection method.
Core tracking includes mentions, citations, sentiment and competitive visibility against named rivals. The tool also separates branded questions from unbranded ones. This shows whether buyers search using the company name or just describe the problem generally. Prompts, personas, categories, languages and monitoring frequency are all adjustable.
Source analysis is the feature worth highlighting most. It shows precisely which publishers and domains AI tools cite while constructing a response, offering PR teams the transparency they need to track earned coverage properly.
- AI platforms tracked: ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Bing Copilot, Google AI Overviews, Google AI Mode
- Core workflow: Established SEO platform with a dedicated AI Search product
- Key features: API and browser-based data collection, brand mentions, citations, sentiment, competitor visibility, branded and unbranded tracking, source analysis
- Pricing model and cost drivers: From $119/month; credits depend on prompts, frequency and models
- Limitations and best-fit user: Best for SEO, content and PR teams needing detailed citation and source analysis.
Rankscale
Rankscale is built for tracking brand visibility inside AI answers. It shows whether a company appears for important searches and helps compare that presence with competing brands. Because Rankscale runs on credits, users can decide how to spend their checks across engines and tracking frequency.
That gives agencies and advanced teams more control than a fixed prompt allowance, especially when different clients, markets, launches or topics need closer monitoring.
Tracking does not have to follow one fixed schedule. Teams can check visibility every hour when timing is actually important, such as during a launch, an issue or a fast-moving market topic. or use weekly and monthly cycles for normal monitoring.
Higher plans also provide stronger reporting tools. They include larger dashboards and older audit records. Data can be exported or sent into Looker Studio. Full API access supports teams that prefer to build their own reports.
- AI platforms tracked: ChatGPT, Gemini, Perplexity, Claude, DeepSeek, Mistral, Grok, Copilot, plus additional engines
- Core workflow: dedicated AI visibility/GEO platform with credit-based tracking
- Key features: hourly to monthly scheduling, larger dashboards, auditing, exports, Looker Studio, API on higher tiers
- Pricing model and cost drivers: Pro from $99/month; usage depends on engine-specific credits
- Limitations and best-fit user: Best for agencies and advanced teams wanting granular control over engines, frequency and spend
Evertune
Evertune is an LLM visibility platform built for companies that track AI search across many markets. It supports up to 100,000 prompts across 11 models. This gives international teams enough room to cover different countries and product lines. They can also follow buyer needs without reducing the project to a small group of general searches.
Teams can choose how often each area is checked. Important markets can be monitored every day while slower topics can run weekly or monthly. The platform also uses the results to guide new content and improve pages that do not appear often in AI answers. This connects tracking with practical GEO work.
Evertune makes the most sense for companies with broad international programs or many products to monitor. Enterprise users can also access deeper analytics and more content tools. SSO is available for larger teams. Smaller B2B companies may find that the available capacity is far beyond what they need for a short and focused list of prompts.
- AI platforms tracked: 11 AI models on the Pro package
- Core workflow: dedicated AI brand analytics and GEO platform, extending into content production
- Key features: high-volume prompt tracking, daily/weekly/monthly cadence, global country/language support, content and optimization tools
- Pricing model and cost drivers: From $800/month; Enterprise pricing is custom
- Limitations and best-fit user: Best for mid-market and enterprise brands needing high-volume monitoring; hard to justify for small prompt sets
HubSpot AEO
HubSpot AEO is an AI visibility tool made for companies that already use HubSpot for marketing and CRM. It tracks brand presence in ChatGPT, Gemini and Perplexity. Teams can follow up to 25 prompts and see how often their brand appears in AI answers for those questions. The resulting score stays tied to that tracked set rather than pretending to measure every possible AI search.
The main benefit is how closely it can sit next to existing HubSpot data. Teams can see whether competitors appear more often and which sources are being cited. They also get recommendations based on the results. Marketing Hub Professional and Enterprise users can connect this work with CRM data. That makes it easier to choose prompts around real customer interests instead of relying only on traditional SEO research.
HubSpot AEO is designed to be easy to add to an existing setup. The company website can stay on its current CMS, and new users get a 28-day free trial to test the product. After that, the service costs from $50 per month with daily tracking. More prompts can be purchased later, which gives teams room to expand without changing tools.
- AI platforms tracked: ChatGPT, Gemini, Perplexity
- Core workflow: AI visibility/AEO product connected to HubSpot's marketing and CRM ecosystem
- Key features: 25 tracked prompts, competitor presence, citations, recommendations, CRM-informed prompt selection (Professional/Enterprise)
- Pricing model and cost drivers: $50/month; $45/month billed annually
- Limitations and best-fit user: Best for SMB and mid-market B2B companies already using HubSpot
LLMrefs
LLMrefs is an LLM visibility tool built around a workflow that will feel familiar to SEO teams. Instead of asking users to create every AI prompt from scratch, it can start from existing keywords and generate related fan-out prompts automatically. That makes it easier to turn established keyword research into a broader AI-search monitoring set. Coverage includes the main LLMs and several Google AI experiences, along with other major engines.
The platform tracks whether a brand appears in those answers and where it is positioned. It also records citations and compares visibility against competitors. Reports are delivered weekly, while API and CSV access make the data easier to move into external reporting. Unlimited projects and users are useful for agencies that need to keep several accounts separate.
LLMrefs is relatively affordable compared with most LLM visibility tools, especially given the engine coverage, 500-prompt allowance and unlimited projects and users. Unlimited projects and team members also make the plan practical for agencies that would otherwise pay more as client accounts increase.
Weekly reporting is the bigger limitation for companies that need faster visibility updates.
- AI platforms tracked: ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek
- Core workflow: dedicated LLM SEO and AI-search analytics platform, keyword-driven prompt generation
- Key features: fan-out prompts from existing keywords, brand presence, citations, position, competitive visibility, API/CSV access
- Pricing model and cost drivers: Currently $79/month (promotional pricing may change)
- Limitations and best-fit user: Best for SEO teams transitioning into AI-search monitoring; weekly reporting may not suit daily tracking needs
Writesonic AI Search Visibility
Writesonic does more than show where a brand appears in AI answers. It combines that tracking with SEO and content tools that teams can use as part of their regular work. The Starter plan covers ChatGPT, Gemini and Google AI Overviews. Teams that need to follow more AI models can get wider coverage by moving to one of the higher plans.
Starter allows teams to track 50 prompts and 50 AI answers each day. Basic raises the limits to 100 prompts and 300 answers. The platform also helps users create content, review their websites and improve existing pages. More advanced plans include sentiment analysis, alerts and recommendations, adding extra context for teams that want to understand changes in their AI search visibility more clearly.
For SEO and content teams, this means the work does not have to end with a report. They can see where the brand is missing or underrepresented and then create, update or optimize the relevant content from the same system.
Writesonic is less of a pure prompt-tracking tool and more of a content optimization platform with AI visibility built in. That makes it useful for teams that want to act on the data, not just monitor it.
- AI platforms tracked: ChatGPT, Gemini, Google AI Overviews (Starter); broader coverage on higher/agency plans
- Core workflow: content, SEO and GEO platform combining visibility monitoring with content execution
- Key features: AI visibility dashboards, site auditing, content optimization, sentiment, recommendations, alerts, Action Center
- Pricing model and cost drivers: From $79/month annually; higher plans broaden capabilities
- Limitations and best-fit user: Best for SEO/content teams wanting to move from finding a problem to fixing it in one platform
Goodie
Goodie is a great visibility tool for teams that want to connect AI search monitoring with optimization and attribution.. The platform brings tracking, optimization and attribution into the same system.
Its Explorer plan covers several of the main AI platforms, while Pro adds wider coverage. Enterprise goes further and can track up to 11 AI models, making it more suitable for larger programs with broader monitoring needs.
Explorer includes 100 prompts and 3,000 AI responses each month, with data collected every day. Goodie also tracks competitors and sentiment, then connects those insights with tools for optimization and attribution. Its features extend into content, outreach and technical work as well. This gives teams a way to move from monitoring AI visibility to deciding what to improve next.
Goodie makes the most sense for teams that already have a developed SEO or AI search process and want to manage more of it from one platform. . It is not the cheapest option, so the fit is strongest when teams need monitoring, optimization and attribution together rather than basic visibility tracking alone.
- AI platforms tracked: ChatGPT, Google AI Overviews, Perplexity (Explorer); Gemini, Copilot and more (Pro); up to 11 models (Enterprise)
- Core workflow: end-to-end AEO platform spanning monitoring, optimization and attribution
- Key features: competitor benchmarking, sentiment, agent analytics, attribution, daily data collection
- Pricing model and cost drivers: From $399/month; 7-day Explorer trial
- Limitations and best-fit user: Best for mature teams wanting monitoring, action and attribution in one system
ZipTie.ai
ZipTie.ai focuses specifically on AI search monitoring and covers several of the main LLMs and AI search engines One detail that makes it different is how the data is collected. Results come from real browser sessions rather than only from model APIs.
Users can track mentions, citations, sentiment and complete AI responses, along with recommendations that involve competitors. The schedule is flexible, so monitoring can run roughly once a month, once a week or every day.
Pricing changes with that setup. More prompts, more engines and more frequent checks all increase the amount of monitoring required, which means the final monthly cost can rise quickly.
At first glance, the monthly entry price makes ZipTie look inexpensive. The picture changes once heavier use is added, so expected workload matters more than the starter price. Buyers should estimate real usage before comparing ZipTie with tools that use fixed prompt allowances or simpler plans.
- AI platforms tracked: ChatGPT, Google AI Overviews, Perplexity, AI Mode, Copilot, Bing AI Overview, Gemini
- Core workflow: dedicated AI Search Intelligence platform using real browser session collection
- Key features: mentions, citations, sentiment, complete responses, competitor recommendations, configurable tracking frequency
- Pricing model and cost drivers: From $19.95/month; realistic usage rises to roughly $307.80 (Professional) or $1,464 (Enterprise)
- Limitations and best-fit user: Best evaluated by real workload rather than entry price; do not confuse with ZipTie.dev
Conclusion
AI search is now another place where brand reputation can be formed before the company gets a chance to speak for itself. LLM visibility tools make that easier to track. PR teams can see which sources, mentions and pieces of public information appear in AI answers. Marketing teams can spot topics where the brand is missing. This is where the role of public relations in GEO connects directly with online presence management: earned media, expert commentary and third-party mentions can influence how a brand is understood beyond its own website.
The smartest buying decision is usually about fit rather than scale. A smaller company may need a short list of carefully chosen questions. An agency may need separate projects and easy exports. A large enterprise may care more about governance and international coverage. The right platform is the one that supports those needs without forcing the team into a much larger monitoring setup than the business can use.
A good implementation should end with fewer surprises. Teams should know which topics repeatedly produce weak visibility and which sources appear often enough to matter. That knowledge can transform outreach and content priorities. It can also show where no action is needed. Used this way, the tool becomes part of planning and review and gives the team practical direction for the work that follows.
FAQs
What are LLM visibility tools?
LLM visibility tools are platforms that show how a brand appears in AI-generated answers. They monitor selected prompts across systems such as ChatGPT, Gemini or Perplexity, then report brand mentions, citations, competitor presence and answer wording. PR and marketing teams use them to see where the brand is missing, which sources appear often and where public information needs to be stronger.
How many prompts should a B2B company track?
B2B teams should choose prompt volume based on coverage rather than on the allowance offered by the tool. A plan may include hundreds of prompts, but that does not mean all of them need to be used. Start with the questions that matter most to buyers and the topics that affect brand perception. Review whether each prompt adds a different signal. If several questions produce the same insight, keeping all of them may only add cost and make the reporting harder to use.
How often should teams review LLM visibility data?
Most teams should review LLM visibility data weekly, then use monthly or quarterly reporting to judge longer-term patterns. Faster checks make sense in specific cases, such as a launch, crisis, major campaign, product announcement or fast-moving market topic. Daily monitoring only adds value if someone is ready to investigate changes and act on them; otherwise, teams may overreact to normal answer variation.
What should you do if LLM visibility suddenly drops?
A sudden drop in LLM visibility should be checked before anyone assumes the brand has lost ground. Start by confirming that the prompt set, competitor list and tracked engines have not changed. Then look at whether the decline appears across many questions or only a small group. Model updates can also change answers without any action from the company. If the drop is consistent, review which sources and competitors have gained visibility. That gives the team a clearer idea of whether content or PR work is needed.
Can LLM visibility tools show whether PR coverage is influencing AI answers?
Yes. Citation tracking can help PR teams see whether earned media is becoming part of the information AI systems use. If an article or publication begins appearing across relevant answers, that gives the team a useful signal that the coverage is travelling beyond its original audience. The key is to watch the pattern over time. One citation may mean little. Repeated appearances across important prompts can show which publications are carrying more weight and where future media outreach may have greater value.







