How do we get AI to describe us accurately?

Check current AI descriptions, resolve gaps and contradictions in your brand knowledge, then publish clear, evidence-backed answers that AI systems can interpret and retrieve. Together, the three steps make your expertise more coherent and accessible, helping AI describe your business accurately. Keep public information up to date rather than treating publication as a one-off fix.

1. Check the descriptions buyers receive

Check the descriptions buyers receive by testing questions relevant to how they research your business and assess suppliers. Compare the resulting answers with verified, up-to-date public information. Look beyond whether your brand appears: check whether the description accurately represents your expertise, leaves out important capabilities or includes claims that are simply untrue.

A 2026 Gartner survey of B2B buyers found that 51% said they were more likely to encounter misleading information from generative AI, versus 49% from a sales representative. Record inaccuracies and omissions so you can identify which public details need correcting and which areas of expertise need clearer explanation. Include your website's structured data in the review, because it helps search engines and AI tools understand page content.

Sources: The Prompt: What Does AI Think of Your Brand?, The Prompt: Your brand content is losing you AI search – but it could be the solution

2. Resolve contradictions in the source knowledge

Resolve contradictions in the source knowledge by bringing together relevant material about the subjects you want your business to be known for. Include more than website copy: your organisation's knowledge also covers what it has demonstrated, proved and learned. Identify the individual ideas and areas of expertise, then establish how they relate to one another.

Look for conflicting claims, gaps and duplication. Reconcile competing accounts and retain the supporting material needed to establish a definitive, evidence-based view of each important topic. The aim is coherent knowledge, not simply more content. Emporia Research, reported via SlateCX in 2026, found that 38.2% of B2B purchasing professionals identified information scattered across PDFs and emails as their biggest frustration with vendor research and outreach.

Sources: The Prompt: Your brand has got the answers. AI just can’t find them.

3. Publish clear accounts backed by visible evidence

Publish clear accounts backed by visible evidence, organising each page around a question your audience asks. Put a direct answer first, then explain the relevant expertise and make supporting material, such as cited reports or third-party reviews, easy to identify. Question-and-answer and step-by-step formats can help make content easier to interpret.

Keep each account grounded in your original content and expertise. The goal is a usable layer of brand knowledge, not content written only for AI at the expense of human readers. Keep public details current and review your website's structured data. Use schema to clarify who you are and what a page means, ensuring that the markup accurately reflects the information people can read.

Sources: The art of AEO: are you part of the conversation?, The Prompt: Your brand content is losing you AI search – but it could be the solution, The Prompt: What Does AI Think of Your Brand?

How The Frameworks helps

Getting accurate AI descriptions

You need AI-generated descriptions to reflect what your business does and the expertise behind it. The Frameworks focuses on the relationship between your source material and the descriptions people receive during supplier research, rather than treating visibility alone as success. It works with you to analyse the knowledge your business already holds, paying particular attention to the evidence behind its claims and the language that accurately expresses your offer.

The Frameworks provides a managed AI visibility assessment, evidence-backed answer pages written in your brand's voice, and editorial guidance on monitoring how your business is represented. The work connects AI discoverability with copywriting, so material intended for AI retrieval remains useful and credible to people. You get a clearer account of your expertise for AI systems to draw on, with published answers that support accurate descriptions rather than leaving important aspects of your business open to interpretation.

Let’s talk about how AI describes your business 

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