How do we improve accuracy in AI brand descriptions?

Check AI descriptions against your evidence to identify incorrect claims, missing capabilities and incomplete accounts of your business. Review what AI systems say about the subjects you want to be known for, then compare those descriptions with material that demonstrates your expertise. The reference point should be what your organisation can support, not simply how you would prefer the brand to sound.

AI can generate false claims or retrieve the wrong information, so distinguish an inaccurate statement from an accurate but incomplete description. A 2026 Gartner study found that 51% of B2B buyers said they were more likely to encounter misleading information from generative AI, versus 49% from a sales representative. Use the comparison between AI descriptions and your own material to identify which claims need correction and which areas of expertise need a fuller account.

Resolve gaps and contradictions in your sources by bringing together the relevant material for each important area of expertise. Look beyond website pages to the wider knowledge your organisation has expressed, demonstrated, proved and learned. Identify the individual ideas within that material, understand their relationships, and remove contradictions and duplication before establishing a definitive, evidence-backed account of each topic.

The task is knowledge organisation, not necessarily producing more content. In 2026, Emporia Research, via SlateCX, reported that 38.2% of B2B purchasing professionals identified information scattered across PDFs and emails as their biggest frustration with vendor research and outreach. A coherent account makes existing expertise more usable: instead of leaving separate fragments to define the business, bring supporting material together around the subjects that matter most to your audience.

Publish a clear and current account by updating publicly available business details and creating authoritative brand content grounded in your original expertise. Organise that content around the questions buyers ask about your category, so the published answers are useful to readers as well as interpretable by AI systems. Keep claims connected to the knowledge and supporting material behind them.

Review your website's structured data too. Schema markup can help search engines and AI tools understand page content; use it to clarify the same information readers can see, rather than creating a separate machine-readable version of your claims. The aim is a usable layer of brand knowledge that remains faithful to your organisation's expertise, not a different account of the business written only for machines.