A framework for AI visibility

Conduct an AI visibility audit

To understand how your brand appears in AI results today:

• Ask ChatGPT, Perplexity and other AI tools the 20-30 most common questions your customers ask.
• Document what answers appear and which sources are cited.
• Note where your content is missing, outdated, or misrepresented.
• Identify where competitors or generic sources fill the gap.

This creates a baseline and highlights the highest-risk visibility gaps.

Collect real customer questions

Don’t guess what people ask. Use:

• Customer service logs and call transcripts.
• FAQ page analytics.
• Search queries from your site.
• Social media questions.
• Regulatory inquiry data, if available.

Patterns in phrasing matter because they closely reflect how consumers frame questions inside AI tools.

Map questions to existing pages

For each common question:

• Does a page exist that should answer it?
• Does that page answer it clearly?
• Is information visible, current and extractable?
• Is content locally framed and attributed?

Many brands discover they have the right pages but the wrong structure.

Prioritise the pages that matter most

You don’t need to fix everything. Focus on:

• High-frequency questions
• High-risk content where errors could cause harm
• High-impact information that influences applications, purchases or claims.

For most brands, this yields 10-20 priority pages, not 200.

Work with SMEs early and efficiently

Subject matter experts are critical but often overloaded. Their input is best used when:

• Clear before-and-after examples show the intended structure.
• Reviews are scoped to specific decisions rather than open-ended feedback.
• Pre-approved response structures are used.
• Templates allow one review to be applied many times.

The goal is to make SME input focused and repeatable, not case-by-case.

Restructure pages using GEO principles

Apply the structural approach outlined in Section 7:

• Put the direct answer at the top.
• Use natural question headings.
• Add local context explicitly.
• Include expert attribution.
• Add clear date and version signals.
• Implement structured data markup.

AI tools can assist with drafting and reformatting. However, authority, attribution and compliance-safe structures must still be designed and controlled by digital teams. Most pages already contain the right information – it just needs reordering so that key answers, context and authority are immediately clear.

Establish measurement practices

Track what matters:
Manual testing cadence

Test the same set of prompts monthly:

• Does the brand appear?
• Is the answer current?
• Is the response locally framed?

Track patterns over time:

• Brand citation frequency
• Answer accuracy
• Currency of information provided.

Full automation isn’t yet possible, so monitoring still requires a mix of manual checks and strategic review.

Build for ongoing maintenance

GEO isn’t a one-time project. Regulated information changes regularly:

• Maintain a content calendar for priority updates.
• Set triggers for regulatory or policy changes.
• Use a lightweight review process to retain currency.
• Reuse established templates and patterns to make updates faster.

Restructuring requires effort upfront, but ongoing maintenance should be manageable. Without it, brand presence may fade as fresher content overtakes older material in AI-generated answers.