SERVICES

AI Brand Visibility

Measure how AI systems describe, cite, compare, and recommend your brand across the questions that influence discovery and buying decisions.

Connect your team and follow the lead

Turn AI answers into evidence your team can act on

AI visibility is not a vanity snapshot. We establish a stable prompt set, measure brand mentions and recommendations across major answer engines, inspect the sources those systems cite, and connect each gap to work your team can complete.

Multi-platform prompt and mention tracking
Citation, sentiment, and competitor analysis
Prioritised actions tied to measurable gaps

MEASURE AND IMPROVE

Understand where your brand appears and what to improve next

The service combines measurement, interpretation, and execution guidance so teams can improve recognition without guessing which content or authority signal matters.

Visibility baseline

Build a repeatable baseline across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews using prompts matched to real audience intent.

Citation intelligence

Identify the domains and pages AI systems rely on, compare your citation footprint with competitors, and find realistic authority opportunities.

Growth roadmap

Translate visibility, sentiment, and citation gaps into sequenced content, entity, technical, and outreach actions with clear measures of progress.

SentimentStack growth plan tasks on mobile and laptop

“We tell our clients that the right systems change everything. Turns out that applies to us too. SentimentStack was the system we didn’t know we needed”

Simone Titus

Founder, Second Seasons

Frequently Asked Questions

Practical answers about AI visibility measurement and implementation.

What is AI brand visibility?

AI brand visibility measures whether answer engines mention, describe, cite, or recommend your organisation when people ask relevant commercial and informational questions.

Which AI platforms do you monitor?

We monitor the major answer experiences relevant to your market, including ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

How is this different from rank tracking?

Rank tracking measures ordered search results. AI visibility examines generated answers, where mentions, recommendations, sentiment, citations, and competitor inclusion can vary between prompts and models.

How often should visibility be measured?

A stable prompt set should be measured repeatedly. Ongoing measurement reveals direction and reduces the risk of treating one generated response as a reliable trend.

Can you identify why competitors appear more often?

Yes. We compare mention patterns, cited sources, entity clarity, content coverage, and third-party authority to identify the most plausible reasons for a competitor advantage.

Do you track sentiment as well as mentions?

Yes. A mention may be positive, neutral, qualified, or negative. We examine how the brand is framed, not simply whether its name appears.

Will GEO replace SEO?

No. Search visibility, technical accessibility, content quality, entity clarity, and external authority all contribute to how AI systems discover and interpret a brand.

What does the final roadmap contain?

The roadmap prioritises specific content updates, new pages, schema or entity work, citation opportunities, and measurement checkpoints according to evidence and effort.

How long before results become visible?

Timing depends on the starting position and the systems being influenced. We establish a baseline first, then report movement as updated content and authority signals are discovered.

Still have more questions?

Tell us what you are trying to improve and we will recommend a practical next step.

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Book a demo or send us a message. Here’s what you’ll get on your call: