Artificial intelligence (AI) visibility tools are a hot topic in many marketing conversations these days, with the likes of Profound and AthenaHQ promising to track how often brands appear in AI-generated answers. But are they worth the cost or effort?

Key takeaways
AI visibility tools show whether your brand appears in AI-generated answers, but can’t yet link that visibility to revenue. Doing nothing carries risk as AI increasingly shapes early discovery. Selective monitoring beats full adoption at this stage.

Our two views start from the same uncertainty: AI-driven discovery is evolving faster than our ability to measure commercial impact with confidence.

Rhys — More cautious	Nat — More pragmatic
“This feels more like inference than measurement.”	“Waiting for proof is the bigger risk.”
No clear path to ROI Visibility scores are proxies, not outcomes. No reliable link between AI citations and revenue.	Discovery is already shifting AI tools are becoming a front door to information. Brands not showing up are excluded from early consideration.
Urgency is driven by fear Tools often amplify fear of invisibility, but visibility doesn’t guarantee preference or action.	Flying blind is risky Without tracking, teams don’t know if they’re being cited, ignored, or misrepresented.
Metrics lack meaning No standard benchmarks. Scores don’t map cleanly to awareness, trust, or outcomes.	Imperfect data is still useful Directional insight is better than none, especially when testing GEO efforts.
Limited actionable insight Data doesn’t explain impact or what to do next in a meaningful way.	Automation solves a real problem Tools replace inconsistent manual checking across AI platforms.

Verdict: Buy

Scepticism about AI visibility tools is reasonable. At present, visibility in AI-generated responses can’t be reliably linked to commercial outcomes.

This is less a judgement on the tools and more a question of risk. As AI systems play a growing role in early discovery, organisations must decide whether operating without any visibility into that layer is acceptable.

In practical terms, AI visibility tools are unlikely to justify significant spend or operational effort today. But modest investment can be reasonable where the cost of having no visibility at all outweighs the imperfections of the data.

When AI visibility tools matter most

AI visibility tools are likely to matter more in categories where AI-driven discovery sits closer to conversion, such as retail, ecommerce, travel and product-led services. In these cases, heavier investment in AIEO or GEO tools can be easier to justify.

In longer cycle or more indirect categories, including utilities, superannuation and some B2B sectors, the value is more about brand accuracy, trust and narrative control. That often supports a lighter touch approach focused on monitoring rather than aggressive optimisation.

Appendix: Popular AI visibility tools (reference only)

Platform	What it tracks	Supported AI platforms	Strengths (from independent reviews)	Weaknesses (from independent reviews)
Profound From ~$600+/mo (enterprise pricing) From ~$600+/mo (enterprise pricing)	Brand visibility in AI-generated answers, citations, prompt-level responses, AI crawler interactions, and where content appears in AI outputs.	ChatGPT, Google AI Mode/Overviews, Gemini, Claude, Copilot, Grok, Meta AI, DeepSeek	Broad AI platform coverage, strong competitive tracking, real-time monitoring	Higher cost, complexity can be a barrier for smaller teams
Scrunch ~$450-$1,300/mo	Brand visibility, citations and mentions in AI generated answers, with prompt level and competitor tracking.	ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews	Clear brand narrative visibility, strong competitor comparison, intuitive interface	Limited attribution, pricing may be high for smaller teams
Semrush AI Toolkit~$300–$750+/mo (incl. base plan)	Brand visibility and performance in AI-generated answers, including visibility scores, competitor research, and prompt tracking.	Responses from generative AI systems such as ChatGPT and Google AI Mode, with coverage implied across platforms in toolkit descriptions.	Combines AI visibility with established SEO workflows	AI visibility features less mature than specialist tools
AthenaHQ ~$400–$800+/mo (usage-based)	Brand mentions, citation frequency, and related signals from AI-generated responses and monitors visibility across multiple generative AI engines.	Major generative AI engines including ChatGPT, Gemini, and Claude.	Cross-platform monitoring, hands-on team support	Credit system can escalate costs, some features still evolving, limited attribution
Rankscale ~$50–$1,000+/mo (credit-based)	Brand visibility and citation frequency across AI search results, providing visibility scores and citation tracking data.	Major AI engines such as ChatGPT, Perplexity, Google AI Overviews, and others (detailed lists vary by source).	Sentiment and citation tracking, relatively simple interface	Pricing can be unpredictable at scale, limited enterprise-grade documentation

About the author

Gerry Francis is a content strategist at Avion, specialising in the intersection of search, AI visibility, and digital discovery.

Meet Gerry

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Search & AI Visibility

AI visibility tools: Are they worth it?