AI search
Customers now shortlist through ChatGPT, Gemini, Perplexity and Google. Inflexion measures how a brand appears against competitors, explains why, and sets out a plan to improve it.
The questions we answer
AI answers shape shortlists before a website visit. Few organisations know how they appear in them.
How often the brand is named, recommended or cited for commercially important questions.
Share of answers against named competitors, by assistant and topic.
The sources and content that lead assistants to favour one brand.
Actions ranked by impact and effort, with owners and measures.
Our approach
Four stages, each with a defined output, so progress is visible and decisions rest on evidence.
Agree priorities, competitors and the buyer questions to track.
Measure visibility, competitor share, sources, accuracy and technical access.
Rank the gaps by commercial value and define the actions to close them.
Deliver the roadmap and track progress against the baseline each month.
The audit
A baseline across the measures that explain AI visibility, with each finding linked to an action.
Share of answers that name the brand.
Where assistants find their information.
Key facts checked against what assistants say.
Whether assistants can read the content.
Illustrative example. All brands and figures are fictional.
What sets the approach apart
Inflexion's methodology draws on brand science and language analysis to explain why a brand is missing, as well as how often.
Visibility measured against the needs that lead to a purchase.
Buyer and assistant language compared to find where the brand says too little.
Gaps ranked by their effect on shortlists, enquiries and sales.
The plan
Four areas of work, balanced according to the audit findings.
Pages that answer buyer questions, from comparisons to pricing.
Access, rendering and structured data so assistants can read the site.
Coverage and reviews in the sources assistants cite most.
Outdated facts corrected at source so assistants describe the brand correctly.
Where the work appears
Answers vary widely, so each assistant is measured separately.
| Assistant | Where answers come from | Typical use |
|---|---|---|
| ChatGPT | Live web search Training data | Research, comparison and shortlisting |
| Google AI Overviews and AI Mode | Google index | Everyday search, from first question to purchase |
| Gemini | Google index Training data | Research inside Workspace and Android |
| Perplexity | Live web search | Source led research and comparison |
| Copilot | Bing index | Work research inside Microsoft 365 and Edge |
| Claude | Live web search Training data | Detailed analysis and comparison |
Questions
Yes. Assistants rely on content they can access and sources they trust. Improving both changes what they say over time.
SEO earns rankings. AI search depends on being named within an answer. The foundations overlap, so both run as one programme.
A fixed set of buyer prompts runs across each assistant on a regular schedule and is compared with the baseline.
Technical and content changes usually show within weeks. Competitive shifts take longer and are judged over repeated measurements.
A clear view of where the brand stands and what to do first.
hello@inflexionmedia.com