AI Visibility Tools for B2B Marketers: Track – and Improve

AI Visibility Tools for B2B Marketers: Track – and Improve – Your Visibility in AI Search

SitePoint SponsorsPublished inMarketing·SEO & SEM·AI·
August 31, 2026

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If you sell to other businesses, one of the most important lists your company can appear on is no longer a Google results page. It is the shortlist an AI assistant gives a buyer when they ask, “What are the best CRM tools for startups?”, “What are the best alternatives to Salesforce?” or “How do we solve [problem X]?”

If your company isn’t in that answer, you may never get the chance to make your case.

G2’s March 2026 survey of 1,076 B2B software buyers and decision-makers found that 51% now start software research with an AI chatbot more often than with Google, up from 29% in G2’s 2025 research. Seventy-one percent said they use AI chatbots at some point during research.

That is the shift AI visibility tools are trying to measure. They monitor how often brands appear in AI-generated answers, which competitors are recommended, whate answer is wrong or the brand is missing

But measuring AI visibility and improving it are two different jobs.

Some platforms are analytics products. Others help diagnose content and citation gaps. A smaller group goes further, turning those findings into a recurring list of concrete actions – with a feedback loop that shows what actually moved the needle.

I compared ten of the better-known options from the perspective of a B2B marketing team. The question is not simply which platform has the most integrations. It is what job each one is actually good at – and when you should stop looking for another dashboard and use the tools already in your stack.

Quick answer: For a team that wants measurement plus a recurring improvement workflow, HeyAmos is the strongest fit in this group. Peec AI is a strong analytics-first option. Profound is better suited to teams that have the capacity to build their own agentic AEO workflows. Scrunch is particularly useful when the problem is brand narrative, accuracy or competitive visibility. Otterly is the low-cost entry point. AthenaHQ puts more weight on perception and action. Semrush, Ahrefs and SE Ranking make the most sense when you already live in those ecosystems. Writesonic is the content-production specialist.

What does “AI visibility” actually mean?

AI visibility is broader than asking whether an AI search engine mentions your company.

There are at least four outcomes worth separating.

A mention means an AI system names your company.

A citation means it points to your website, documentation, comparison page, review or another

A recommendation means your company makes the shortlist the model gives the buyer.

Then there is fact drift: the system knows who you are, but describes you incorrectly or in a poor light. That might mean an old product capability, a stale price or a brand-safety issue picked up from third-party

That last problem matters more than it sounds. A company can have strong AI visibility and still be presented in a bad light to buyers.

The other important distinction is between keywords and prompts.

Traditional SEO is built around search queries, rankings and pages. AI visibility work is more naturally organised around the questions buyers actually ask:

• “What is the best CRM for a 20-person startup?”
• “What are the best alternatives to Salesforce for a mid-market company?”
• “HubSpot vs. Salesforce for a B2B company?”
• “Is [Company] SOC 2 compliant?”
• “Which CRM has the best reporting?”

Those prompts map much more closely to the decisions buyers are actually making. The goal is not a perfect AI visibility score. It is consistent visibility for the prompts that influence buying, in the right context, with accurate information attached to the brand.

At a glance: the 10 AI visibility tools worth knowing

Tool	Best for	Where it stands out	Published starting price*
HeyAmos	Quickly improving visibility	Measurement, prioritised actions, content workflow and a feedback loop that shows what’s working	From $99/mo
Peec AI	Clean analytics	Prompt tracking and straightforward visibility reporting	From $95/mo
Profound	Enterprise/AEO workflows	Deep answer-engine analytics and custom agents	From $99/mo
Scrunch	Brand narrative and competitive visibility	Risk, citation and competitive visibility monitoring	From $250/mo
Otterly AI	Affordable monitoring	Low-cost multi-engine tracking	From $29/mo
AthenaHQ	Perception + action	Monitoring, sentiment and action tooling	Free; paid from $295/mo
Semrush AI Visibility	Existing Semrush users	AI search inside a broader SEO stack	$99/mo per domain*
Ahrefs Brand Radar	Existing Ahrefs users	AI share of voice and citation research	From $199/mo
Writesonic	Content production	Pages, articles and AI-search workflows	From $99/mo
SE Ranking	SEO teams adding AI search	AI visibility as an SEO-suite add-on	From $89/mo add-on

* Prices below use the vendors’ published monthly price points for a clean comparison. Pricing and limits can change.

How I evaluated the tools

The question I kept coming back to was simple: what can a B2B marketing team actually do with the information this tool gives them?

That means looking beyond the size of the model list. A useful platform should work with the prompts buyers care about, show how you compare with competitors, identify theo do next

Reporting matters too. A CMO should be able to answer three questions without opening ten tabs: Are we becoming more visible? How does that correlate to business results? And what actions specifically moved the needle?

I also looked at the existing stack. If you already pay for Semrush or Ahrefs, adding a second dashboard simply because it says “AI” on the homepage is not automatically the right move.

Finally, I treated accuracy and narrative as their own problem. Being recommended as the wrong product, at the wrong price, for the wrong audience is still a visibility problem.

1. HeyAmos: the closest thing here to a visibility-to-action workflow

Most AI visibility platforms answer one question well: “How often are we showing up?” HeyAmos is more interested in what happens next.

It combines prompt tracking, competitor benchmarking, citation mapping, sentiment, prioritised actions and content drafting. The point of the workflow is not another score; it is turning a visibility gap into a strategic roadmap and concrete actions a marketing team can act on quickly.

That makes the product particularly interesting for lean marketing teams. If you do not have a dedicated AI visibility or GEO specialist, the value is in bridging the gap between “we are missing from these answers” and “here are the strategy and tactics we need to focus on to drive business results from AI search.”

Every Monday morning, you get a fresh set of actions and insights showing what moved the needle. Follow-up questions can be asked directly to Agent Amos, a built-in AI search strategist available 24/7.

HeyAmos also runs tracked prompts multiple times each week rather than treating a single response as a definitive result. That is useful because AI answers are less deterministic than conventional search rankings.

HeyAmos comes with an extensive set of integrations: Google Analytics, Google Search Console, Bing Webmaster and common content management systems such as WordPress and Webflow. This gives the platform more context for strategic recommendations and for attributing what moved the needle.

HeyAmos also has its own MCP server, so you can connect the platform to Claude, ChatGPT or other agents to ask about the data in plain language, or run AI visibility playbooks without working through the platform manually.

On the current pricing grid, Starter is $99/month, Growth is $249/month and Pro is $399/month. The higher tiers widen model coverage and add more actions, content pieces and research capabilities.

Key features

• Buyer-prompt tracking, including volume and trend data
• Competitor benchmarking and citation mapping
• Prioritised weekly actions
• Impact reporting and attribution
• AI-optimised content
• Sentiment, perception and narrative reporting
• Agent Amos, a personal AI search strategist available 24/7

Verdict: If the goal is to improve AI visibility rather than simply measure it, HeyAmos is the strongest fit in this group.

2. Peec AI: clean analytics without a lot of ceremony

Peec is an analytics-first product. Its current brand plans are built around prompt volume, model selection, projects and reporting, with daily tracking and unlimited users. The platform measures visibility, position and sentiment and can show which

The useful distinction is not that Peec has no recommendations – it does – but that the product remains much more data-centric than an end-to-end content workflow. You get a clear picture of where you stand; your team still owns most of the interpretation and publishing.

That is a feature, not necessarily a bug. An experienced SEO or product marketing team may prefer a clean data layer over a more opinionated operating model.

Current monthly pricing starts at $95/month for the 50-prompt Starter plan. Pro is $245/month and Advanced is $495/month on the published monthly view.

Key features

• 50 to 350 prompts across self-serve brand plans
• Choose three models on the self-serve tiers
• Daily tracking
• Unlimited users
• Multi-country support on higher tiers
• MCP server
• Looker Studio integration on Advanced

Verdict: Buy Peec when you want a clean measurement layer and already have a team that knows how to act on the data.

3. Profound: enterprise analytics with an AEO workflow attached

Profound goes beyond an enterprise dashboard. Its current product combines answer-engine analytics with custom agents for content generation and optimisation, while the higher tiers add broader engine coverage and enterprise controls.

The important pricing detail is that Profound lists its Starter plan at $99/month and limits it to ChatGPT tracking. The Growth plan is $399/month and expands to three answer engines, with a larger prompt allowance and more agent credits. Enterprise is custom and supports up to nine answer engines.

That makes Profound a better fit for teams with someone who can learn a more complex platform, run the programme and build custom agents and workflows.

Key features

• ChatGPT tracking on Starter
• Up to three answer engines on Growth, up to nine on Enterprise
• Profound Agents for AEO and content workflows
• Prompt volume insights
• CSV/JSON exports and enterprise controls

Verdict: Profound makes sense when depth, scale and enterprise requirements justify a more substantial and complex platform.

4. Scrunch: when AI is getting your brand story wrong

Scrunch is the most useful specialist in this list when the problem is not simply visibility, but representation.

Its current product tracks brand presence, competitive presence, position, sentiment, citations and other AI-search signals. It also surfaces changes, risks and opportunities and lets users drill into the

That makes it a useful fit for a company that has repositioned, changed pricing or moved upmarket and wants to know whether AI systems have caught up. The older shorthand “fact drift” is useful here, but the broader product is really about brand accuracy and competitive visibility.

Core is currently $250/month and includes 125 unique prompts, five site audits a month, one brand workspace and four AI platforms: ChatGPT, Perplexity, Google AI Overviews and Copilot. Enterprise adds broader model coverage, API access and SSO.

Key features

• Brand and competitor visibility
• Citation tracking
• Position and sentiment
• Site audits
• Prompt and competitive analysis
• Expanded enterprise model coverage

Verdict: Choose Scrunch when AI is telling the wrong story about you – or when competitive visibility is the problem.

5. Otterly AI: the low-cost way to find out whether the channel matters

Not every company needs an elaborate GEO programme. Sometimes the first question is simply whether AI search is becoming a meaningful discovery channel for your market.

Otterly is well suited to that stage. The current Lite plan is $29/month and tracks ChatGPT, Google AI Overviews, Perplexity and Microsoft Copilot. Gemini, Google AI Mode and Claude are available as add-ons.

You also get a Brand Visibility Index, citation analysis, prompt research and recommendations. The platform is more capable than the “cheap monitor” label suggests, but the strategic work is still largely yours.

The seven-day free trial is a practical reason to start here: you can get a feel for whether the data is useful before committing to a bigger platform.

Key features

• ChatGPT, AI Overviews, Perplexity and Copilot on Lite
• Daily tracking
• Brand Visibility Index
• Citation analysis
• GEO audits
• Recommendations

Verdict: Otterly is a sensible first purchase when you want to validate the channel before building a bigger programme.

6. AthenaHQ: measure the narrative, then act on it

AthenaHQ puts more weight on how AI describes a brand, not just whether it mentions one. Its monitoring covers visibility and perception, while its Action Center turns findings into on-page and off-page actions.

The current pricing page lists a free Essential tier with 300 credits, followed by a $295/month Starter plan with visibility across ten models and a broader action set. Those ten include ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek and Meta AI.

That makes AthenaHQ particularly interesting when sentiment, narrative and positioning are part of the problem – not just share of voice.

Key features

• Prompt and response analysis
• Brand sentiment and perception
• Competitor insights
• Action Center
• Content optimisation agent
• GA4/GSC integrations and executive BI on Enterprise

Verdict: AthenaHQ is strongest when how AI describes your brand matters as much as whether it mentions you.

7. Semrush AI Visibility: start here if Semrush is already your system of record

Before buying another AI visibility platform, check the tools you already pay for.

Semrush’s current AI Visibility Toolkit is listed at $99/month per domain. It tracks mentions from ChatGPT, Google AI, Gemini and Perplexity, and adds prompt research, competitor analysis and an AI-readiness site audit.

It is still part of a broader SEO environment, which is exactly why it can be the right answer. Your team can connect AI visibility findings to the content, site and competitive workflows it already uses.

The limitation is workflow depth. Semrush gives you the data and the surrounding SEO tools; it does not make the whole experience feel like a weekly GEO work queue in the way HeyAmos does.

One other useful detail: Semrush does not offer a separate free trial for the AI Visibility Toolkit.

Key features

• ChatGPT, Google AI, Gemini and Perplexity tracking
• Prompt research
• Competitor analysis
• AI-readiness site audit
• Presentation-ready visibility reporting

Verdict: If Semrush is already your SEO system of record, start there and buy another tool only for a specific gap.

8. Ahrefs Brand Radar: AI visibility for teams already living in Ahrefs

Brand Radar takes a similar “stay in the stack” approach. Ahrefs says the tool can benchmark AI share of voice, identify cited pages and domains, and analyse how brands appear across AI platforms. It combines a large library of search-backed prompts with custom prompt tracking.

Ahrefs currently lists Brand Radar as a standalone product from $199/month per AI platform, with an all-platform option at $699/month. Custom prompt packages start at $50/month.

The appeal is not a magical GEO workflow. It is the combination of AI visibility research with the broader Ahrefs view of search, links and content. If Ahrefs is already where your team works, that continuity has real value.

Key features

• AI share of voice
• Cited pages and domains
• Custom prompt tracking
• Multiple AI platforms
• Search-backed prompt research

Verdict: Brand Radar is the natural bolt-on for Ahrefs teams that want AI visibility without leaving the stack.

9. Writesonic: when the real bottleneck is publishing

Writesonic is the outlier because content production is still its centre of gravity. Its current Starter plan is $99/month on monthly billing and combines AI search visibility across ChatGPT, Gemini and Google AI Overviews with AI articles and site audits.

The platform has also moved deeper into AI-search actions: higher plans add sentiment, an Action Center and broader workflows. But the reason to buy Writesonic is straightforward – it helps you ship content quickly.

If your problem is that you know which comparison pages and buyer questions you should cover but cannot produce them fast enough, Writesonic can be useful. It should not be confused with proof that those pages improved your AI visibility. For that, pair it with a tracker.

Key features

• ChatGPT, Gemini and Google AI Overviews on Starter
• AI articles
• Site audits
• Higher-tier Action Center and sentiment
• Broader enterprise workflows

Verdict: Writesonic is a content-velocity tool first. Pair it with a visibility tracker if you need proof that the content is working.

10. SE Ranking: AI visibility as an SEO add-on

SE Ranking is the pragmatic option for SEO teams that do not want another standalone system. Its AI Search add-on sits inside the existing platform and tracks AI Overviews, AI Mode, Perplexity and ChatGPT, with Gemini also supported in the broader product.

The current AI Search add-on starts at $89/month on monthly billing, with 200 checks at the entry level. SE Ranking defines a check as one prompt on one AI platform.

That pricing model matters because the headline number is not directly comparable with tools that charge by prompt count. A single prompt tracked across five engines uses five checks.

For an SEO-led team, that integration is the point. For a marketer looking for a dedicated weekly AI visibility programme, the specialist tools are more focused.

Key features

• AI Results Tracker
• AI Overviews, AI Mode, Perplexity and ChatGPT
• Gemini support
• SE Visible strategic dashboard
• CSV/reporting and SEO integrations

Verdict: SE Ranking is a practical choice for SEO teams that want AI visibility in the same place as their conventional search data.

The important distinction: monitor or operating system?

After looking across the category, the market gets much easier to understand.

1. Content tools

Writesonic is the clearest example. These products help you produce content that can eventually earn visibility. They do not automatically prove that the content changed the shortlist.

2. Monitoring and analytics tools

Peec, Otterly, Semrush, Ahrefs and much of SE Ranking fit here, with Profound and Scrunch adding deeper specialist capabilities. They answer questions such as: Are we being mentioned? Which competitors are showing up? Which

Those are useful answers. They are still answers, not an operating process.

3. Platforms built around action

HeyAmos is the clearest example in this comparison. AthenaHQ and Profound also move toward action through their Action Center and agents, but the workflow and emphasis differ.

The buying lesson is simple: do not pay for an operating system when all you need is measurement. But do not buy a dashboard and expect it to run your GEO programme for you.

What should a B2B marketer actually buy?

The answer depends less on company size than on what is missing from your current process.

Your situation	Best starting point
You need simple AI visibility measurement	Peec AI or Otterly
You need clear actions and attribution	HeyAmos
You need enterprise analytics and AEO workflows	Profound
AI describes the company inaccurately	Scrunch
Narrative, perception and action are central	AthenaHQ
You already pay for Semrush	Semrush AI Visibility
You already pay for Ahrefs	Ahrefs Brand Radar
Content production is the bottleneck	Writesonic + a tracker
SEO is already the centre of gravity	SE Ranking AI Search

The mistakes B2B marketing teams keep making

1. Tracking branded prompts. If the only thing you measure is “[your company] reviews,” your visibility score may look excellent. It also tells you very little about discovery. Add category, competitor, alternative, comparison and trust prompts.

2. Tracking one AI engine and calling it AI visibility. ChatGPT matters, but the buyer journey is not a single model. The right mix depends on your audience and geography. Track the surfaces your buyers actually use.

3. Treating the dashboard as the strategy. A dashboard can tell you that a competitor is cited on a high-value prompt. Someone still has to write the page, improve the

4. Ignoring accuracy. Being visible as the wrong company is not a win. Old pricing, the wrong ICP or obsolete product claims can distort the answers your prospects receive.

5. Measuring visibility without connecting it to pipeline. Share of voice is a leading indicator. It becomes a business metric when you can connect it to AI-referred sessions, enquiries, demos, qualified opportunities or even customer interviews about how the buyer found you.

6. Buying another platform by default. If Semrush, Ahrefs or SE Ranking already answers the basic question, use the existing stack until you can articulate the gap a specialist will fill.

7. Treating content production as the whole programme. More pages are not the same thing as more recommendations. Production and measurement are separate jobs, even when one vendor sells both.

Frequently asked questions

What are AI visibility tools?

They measure how brands appear in AI-generated answers, including mentions, citations, recommendations, competitive position, sentiment and theits or optimisation workflows

What is GEO?

GEO stands for Generative Engine Optimization. It is the practice of improving the likelihood that your brand, website or content is surfaced, cited or recommended in generative AI experiences. The industry also uses AEO, or Answer Engine Optimization, for overlapping work.

Does GEO replace SEO?

No. SEO and GEO overlap because both depend on discoverable, useful and authoritative information, but they optimise for different surfaces. Traditional SEO still matters; AI search adds another layer of discovery.

Which AI search platforms should B2B marketers track?

Start with the AI search platforms your buyers actually use. For many B2B teams, that means ChatGPT, Google AI Overviews, AI Mode, Gemini, Claude and Copilot.

Can you rank in AI search?

Not in the same way you rank a blue link in Google. AI visibility is better described through mentions, citations, recommendation frequency, share of voice and position within answers.

How quickly can AI visibility change?

There is no reliable universal timeline. Different systems update and retrieve information differently, and results can vary between prompt executions. For example, HeyAmos states that it sees improvement within three weeks on average for its customers.

Is better SEO enough to improve AI search visibility?

It can help, but it is not a guarantee. AI systems can retrieve from a wide range of webce landscape and how clearly the product and brand are represented

So, which AI visibility tool should you choose?

There is not one universal winner, because the products are increasingly solving different parts of the same problem.

For measurement plus a recurring improvement workflow, HeyAmos is the strongest fit in this comparison. For clean analytics, Peec is the more straightforward choice. Profound is the enterprise option when depth and AEO workflows justify it. Scrunch stands out when brand accuracy and competitive visibility are the real problem. Otterly is the easiest place to start on a budget. AthenaHQ is interesting when narrative and action matter together.

And if you already live inside Semrush, Ahrefs or SE Ranking, use those capabilities before you add another platform. Writesonic earns its place when the bottleneck is content production, not measurement.

The bigger point is that AI search is becoming another place where buyers form opinions and shortlist vendors before they ever reach your website. That does not make SEO irrelevant. It makes discoverability more distributed – and harder to see from a single dashboard.

The teams that get the most from this channel are unlikely to be the ones with the biggest report. They will be the ones that can answer a more practical question:

When AI does not recommend us, do we know why – and do we know what we are going to do about it?

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