AI search is becoming a major way people research and choose products. Recent data shows that about 89% of B2B buyers now use generative AI tools like ChatGPT or Gemini during their buying process, making AI a top source of self-guided information. In consumer behaviour, surveys find that around 38–39% of people have used generative AI for online shopping or product research, with more planning to do so.
This shift means brands need to be visible and cited in AI responses, not just ranked on traditional search pages. The art of getting your brand visible on AI Search is usually called Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO).
The Semrush AI Toolkit helps teams measure AI visibility, but many users find that tracking alone doesn’t tell them what to do next. Teams want tools that turn visibility data into clear insights and prioritized actions. This article walks through key alternatives to the Semrush AI Toolkit and shows how they differ in helping teams act on AI visibility signals.
How we evaluated tools: We looked at how well each solution supports visibility measurement, easy-to-understand insights, and clear next actions to improve AI visibility.
HeyAmos is built as an end-to-end GEO platform, not just a visibility tracker. It focuses on quick insights and clear next steps, with built-in playbooks that guide teams on what to fix, create, or improve to increase AI visibility – without digging through data.
Best for: Teams that want clarity and execution, not dashboards.
Pricing: Starts at ~$49/month
Peec focuses on clean AI visibility data across models and prompts. It’s strong on tracking and trends, but insights and actions are left to the user.
Best for: Data-driven teams that want reliable visibility metrics.
Pricing: Starts at ~$100/month.
Profound is designed for enterprise-level AI search analysis, offering deep data, custom dashboards, and broad coverage. It’s powerful, but requires more setup and internal analysis.
Best for: Large brands with analysts and complex needs.
Pricing: Starts at ~$499/month.
Evertune focuses on large-scale AI brand monitoring, helping big organizations track how brands appear across AI systems at scale. It’s positioned firmly at the enterprise end of the market.
Best for: Global brands managing AI visibility across many markets.
Pricing: Starts at ~$3,000/month.
AthenaHQ is built around monitoring and alerts. It helps teams stay aware of visibility changes, but offers limited guidance on what actions to take next.
Best for: Teams that mainly want alerts and ongoing monitoring.
Pricing: Starts at ~$270/month.
LLMrefs is a lightweight and affordable option for basic AI visibility checks. It’s useful for experimentation, but lacks depth and execution support.
Best for: Small teams and early GEO testing.
Pricing: Starts at ~$79/month.
Writesonic combines AI content creation with GEO features. AI visibility is part of a broader content platform, rather than the main focus.
Best for: Content-led teams using AI writing tools.
Pricing: Starts at ~$199/month.
SE Ranking adds AI visibility as an extension of its SEO suite. It’s convenient for existing users, but GEO is not the core product.
Best for: SEO teams that want AI visibility inside one tool.
Pricing: Starts at ~$65/month.
The Semrush AI Toolkit is a solid starting point for understanding AI visibility. It helps teams see where their brand appears in AI-powered results and how that changes over time. For teams already using Semrush, it’s an easy add-on to existing SEO workflows.
Where many teams struggle is what comes next. The AI Toolkit focuses mainly on reporting and monitoring. Turning those signals into clear actions — what content to create, what gaps to fix, or which prompts to prioritize — often requires manual analysis, exports, and custom playbooks.
End-to-end GEO platforms like HeyAmos aim to close the loop by pairing visibility tracking with clear insights and data-driven playbooks on what to do next, reducing the gap between data and execution.
In short, Semrush helps you see AI visibility. The right alternative depends on whether you also need help deciding what to do about it.
Start by being clear on what problem you’re solving. If you mainly want to see where your brand appears in AI results, a visibility-first tool may be enough. If your goal is to improve that visibility, look for tools that turn signals into clear actions.
Next, consider team setup and time. Some platforms assume you have analysts who can dig into data and build workflows. Others are designed for smaller teams that need answers fast, without exports or custom playbooks.
Finally, match the tool to your scale and budget. Enterprise platforms offer depth and customization at a higher price. Lighter tools work well for testing and early GEO work. The right choice is the one that fits how your team actually works — and helps you move from insight to impact faster.
What types of brands benefit most from GEO?
Any brand that relies on online research benefits from GEO. This includes B2B SaaS, consumer brands, marketplaces, and service providers where AI tools influence decisions.
Does GEO replace SEO?
No. GEO complements SEO. SEO helps you rank in search engines, while GEO helps your brand appear in AI-generated answers and summaries.
Which AI models should I focus on first?
Most teams start with ChatGPT, Gemini, and Google AI Overviews. The right focus depends on where your audience does research.
How long does it take to see results from GEO?
Early visibility changes can appear within weeks. Larger improvements usually come after consistent content and citation updates over a few months.
Do I need technical changes on my website for GEO?
Sometimes, but not always. Many GEO improvements come from content clarity, structure, authority signals, and third-party mentions — not deep technical work.
Is GEO only about content creation?
No. Content matters, but so do citations, brand authority, consistency, and how AI models interpret your sources.
Can small teams realistically do GEO?
Yes. Smaller teams often benefit the most from tools that simplify insights and suggest clear actions, rather than requiring manual analysis.
How do I know if a GEO tool is working?
Look for improved brand mentions, citations, and inclusion in AI answers — not just raw visibility scores. The key signal is whether AI tools start recommending or referencing your brand more often.
There’s no single GEO tool that fits every team. Some focus on raw visibility data, others on enterprise-scale analysis, and a few aim to connect insights with action. The right choice depends on your goals, team size, and how much time you have to turn data into decisions.
If you’re just getting started, lightweight tools can help you understand how AI systems mention your brand. Larger organizations may need deeper analytics and broader coverage. And for teams that want to move faster, end-to-end GEO platforms like HeyAmos can reduce friction by turning visibility signals into clear next steps.
As AI search continues to grow, GEO is becoming a core part of modern search strategy. Choosing the right tool now can help you stay visible, relevant, and competitive as discovery keeps shifting toward AI-driven answers.
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