ChatGPT
The most widely used AI assistant for buyer research and category questions. The audit measures whether the brand is cited in queries relevant to its audience and competitive set.
Service // AI Visibility Audit
AI Visibility Audit.
Synthminds runs structured AI visibility audits for brands in Singapore and across Southeast Asia. Each audit measures how a brand appears when buyers, prospects, and stakeholders ask AI platforms about your category, your competitors, and your name. The audit covers ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot, with platform-by-platform gap scoring and a prioritised action plan.
What AI sees. What AI cites. What AI misses.
Or preview a sample report ↓The problem
Your customers are asking AI. You do not know what AI says back.
Search has shifted. A growing share of buyers, prospects, and stakeholders ask AI platforms before they search Google, before they visit a website, before they call a salesperson.
When buyers ask AI platforms about a category, the answers shape who gets shortlisted, who gets compared, and who never gets considered. Most brands have never tested which platforms cite them, which platforms ignore them, or which competitors are recommended in their place.
A brand can be crawled by every major AI platform and still be cited by none. Without a structured diagnostic, every fix is a guess.
What we do
What the audit covers.
Five AI environments where buyers and stakeholders increasingly ask questions about brands, categories, and competitors.
Perplexity
Used heavily for deeper, source-backed buyer research. Citation patterns on Perplexity often signal which brands have built genuine content authority and which have not.
Gemini
Google's AI assistant, increasingly integrated into the broader Google Search and Workspace experience. Visibility on Gemini is closely linked to performance in Google AI Overviews.
AI Overviews
The AI-generated answers that now appear above traditional search results for a growing share of queries. The audit records results only where AI Overviews appear for the agreed test set.
Copilot
Microsoft's AI assistant, integrated across Bing, Edge, and the Microsoft 365 environment. Important for organisations whose buyers operate inside the Microsoft ecosystem.
The audit in motion
A diagnostic built to make gaps visible.
See how the diagnostic system organises platform evidence, visibility gaps and action priorities.
What you get
One audit. Four documented outputs.
Designed for marketing leadership, communications and brand teams to act on.
01
Visibility scorecard.
A platform-by-platform breakdown of how often the brand is cited, how it is described, and which competitors appear in its place. Each platform receives a gap score that quantifies where the brand stands today.
02
Citation gap analysis.
A structured analysis of why the brand is or is not appearing on each platform. Covers content gaps, authority signals, structured data issues, competitive crowding, and the gap between being crawled by AI platforms and being cited by them.
03
Prioritised action plan.
A ranked list of fixes with estimated effort and expected impact. The brand can act on this independently, with their existing agency, or with Synthminds. The plan is the deliverable. Implementation is a separate decision.
04
Structured report.
The findings are organised by platform, by gap category, and by action priority. A marketing director can navigate to the section that matters and brief a content team the same day. Follow-up reviews use the same framework, so progress is measurable over time.
Who this is for
Good fit, and not.
The audit works best when the brand is ready to act on what it finds.
This is for
- Marketing leaders, founders, and communications heads testing how AI search affects visibility.
- Brand managers seeing competitors cited while their own brand is absent.
- Senior marketers preparing content, SEO or PR investment and wanting diagnostic evidence.
- Organisations rebuilding a website or refreshing a brand that need a before-and-after baseline.
This is not for
Quick benchmark scans for teams that want a number and nothing more. The fee covers the diagnostic and action plan. Implementing content, structured data or authority work is a separate engagement scoped after the findings.
How it works
How the audit runs.
The method adapts to the brand, category and competitive set while preserving a repeatable evidence structure.
Brief.
A scoping conversation to understand the brand, the category, the competitive set, and the buyer questions that matter most. The brief defines the queries the audit will run against each AI platform.
Diagnostic.
Structured queries are run across the five AI platforms. Citations, descriptions, competitive crowding, and gap patterns are captured and scored against the framework.
Analysis.
The data is interpreted. Gap causes are identified. Fixes are ranked by effort and expected impact. The action plan is built against the brand's actual position.
Delivery.
The report is shared with the brand. A walk-through session explains the findings, answers questions, and helps internal stakeholders understand the action plan.
Most engagements complete within weeks, depending on the category, number of buyer queries and depth of analysis. Pricing is discussed against the scoped engagement.
Built to deploy
Proof of capability.
A working sample of the structured report delivered through a Synthminds AI Visibility Audit. Explore how findings are organised by platform, visibility gap and action priority.
Published analysis // Synthminds
Research behind the method.
GEO Content Strategy: How To Restructure Existing Content For AI Visibility.
Why AI platforms favour data-rich, citation-backed content, and how brands can restructure existing material.
Learn moreAI Trust Zones: Where AI Models Find Trusted Brand Information.
The sources and trust signals that determine which brands are surfaced in AI-generated answers.
Learn moreFAQ // AI Visibility Audit
Frequently asked questions.
Scope, platforms, implementation and follow-up review timing.
What is an AI visibility audit?
An AI visibility audit is a structured diagnostic that measures how a brand appears when buyers, prospects, and stakeholders ask AI platforms about its category, competitors, and name. The audit covers the major AI platforms used in buyer research today, identifies citation gaps, and produces a prioritised action plan to close them.
Why does AI visibility matter?
A growing share of buyer research is happening inside AI platforms before any traditional search or website visit. Brands that AI platforms cite get shortlisted, compared, and considered. Brands that AI platforms do not cite are invisible to that part of the buyer journey. Most brands have not tested what AI says about them, so they cannot tell whether they are winning or losing this layer of visibility.
Which AI platforms does the audit cover?
The audit covers ChatGPT, Perplexity, Gemini, Google AI Overviews, and Copilot. These are the AI platforms most actively used for buyer research, comparison, and category orientation today. The framework adapts as platform usage shifts.
How is the audit different from a traditional SEO audit?
A traditional SEO audit measures how a brand performs on Google search results. An AI visibility audit measures how a brand performs inside AI-generated answers. The two overlap in some areas but diverge in others. A brand can rank well in traditional search and still be invisible to AI platforms. A brand can be cited often by AI platforms while losing traditional search rankings. Both diagnostics matter. They measure different things.
Can we run the audit on competitors as well as our own brand?
Yes. Comparative audits across a competitive set are part of the standard scope. The audit measures the brand's position relative to direct competitors, alternative providers, and category leaders. Comparative scoring is often more useful than absolute scoring because it shows where the brand stands in the buyer's actual decision frame.
What does the action plan include?
A ranked list of fixes covering content gaps, authority signals, structured data issues, and competitive positioning. Each item carries an effort estimate and an expected impact. The plan is built against the brand's specific gap profile, not against a generic best-practice list. The brand can act on it independently, with an existing agency, or with Synthminds.
Does Synthminds implement the fixes from the action plan?
Implementation is a separate engagement. The audit is diagnostic. Some clients take the action plan and execute it internally or with their existing partners. Others ask Synthminds to implement specific items, scoped separately. Both are common. The audit fee covers diagnosis and the action plan, not execution.
How often should an AI visibility audit be repeated?
AI platforms update their citation patterns continuously. Most brands benefit from a follow-up review every six to twelve months, especially after acting on the previous action plan. Follow-up reviews use the original framework so progress is measurable. Brands in fast-moving categories or going through repositioning may want to review visibility more frequently.
What does the brand need to provide for the audit?
A scoping conversation covers the brand name, the category, the competitive set, and the buyer questions that matter most. The audit runs against publicly available AI platforms.
How do we start, and what is the typical timeline?
Start with a conversation. Describe the brand, the category, and the questions you want answered. Synthminds will scope the engagement and outline the timeline. Most audits complete within weeks. Pricing is not published. It is discussed against the scoped engagement.
Brief us on your AI audit.
Whether you are wondering how AI platforms describe your brand, planning a content or SEO investment, or preparing to rebuild your site, start with a conversation.
Talk to us about an AI auditWe respond within one business day.