The BBC Just Confirmed What We Have Been Saying: AI Search Is Rewriting the Rules of Discovery
By Alex | AI Visibility | 9 min read
The BBC's investigation into how businesses are scrambling for AI search visibility confirms what the data has shown all along. Here is what it means for your brand in 2026 and beyond.
140 Million Visits. Gone.
That is the number HubSpot lost in a single year. Not from a penalty. Not from a technical failure. From AI.
This week, the BBC published an in-depth investigation into how businesses are scrambling to get noticed by AI search. It is one of the most significant mainstream pieces of journalism on this topic to date, and it lands at exactly the right moment. If you work in marketing, run a business, or care about where your customers come from, this article deserves your full attention.
The story of HubSpot is not an outlier. It is a preview.
What Businesses Should Be Doing Right Now
The experts quoted in the BBC piece, and the broader body of evidence now accumulating around AEO and GEO, point to a consistent set of priorities.
Audit Your AI Visibility First
Before you restructure content or build new topic clusters, you need to know where you currently stand. What does ChatGPT say about your brand? Does Perplexity mention you when buyers ask comparison questions? Are you appearing in Google AI overviews for the queries that matter most to your business?
You cannot optimise what you have not measured. And AI visibility, unlike search rankings, is not visible in Google Search Console. It requires dedicated testing across each platform.
Create Content That AI Can Extract and Cite
AI tools favour content that is structured, specific, and easy to quote. That means clear headings, direct answers to the questions your buyers actually ask, and factual statements with enough precision that an AI can lift them verbatim.
Buying guides with clear recommendations. FAQ-style content with full, informative answers. Comparison pages that lay out differences plainly. Authority content that demonstrates expertise on a topic adjacent to your product. These formats perform consistently well across AI platforms.
Build Topic Clusters Around the Problems Your Buyers Have
The Spice Kitchen example is instructive. They are not writing about spices. They are writing about the history of the spice trade, which is something their buyers care about when they are in research mode. The product comes later. The authority comes first.
Identify the research journey your buyers go on before they reach a purchase decision. Build content that answers questions at each stage. AI will cite the most authoritative, specific answer it finds. Make sure that answer is yours.
Treat AEO and SEO as Separate Disciplines
They overlap but they are not the same. SEO optimises for ranking algorithms. AEO optimises for citation algorithms. The content formats, the success metrics, and the strategies diverge significantly. Businesses that treat one as a substitute for the other will find gaps in their visibility that cost them customers.
Measure It, or It Does Not Exist
The BBC article captures the urgency clearly. But urgency without measurement leads to activity, not progress. Businesses need a way to track AI visibility systematically: which platforms are citing them, which competitors are being recommended instead, and where the gaps are in their buyer journey coverage.
This is precisely what Contxt was built to do. We run your brand against real buyer queries across ChatGPT, Google AI Overview, Perplexity, and Claude, then surface exactly where you appear, where you do not, and who is taking the mentions you should be getting.
The HubSpot story is a warning. The Spice Kitchen story is a blueprint. The question is which one your business is closer to right now.
The BBC just put this on the homepage. Your competitors are reading it. The window to act before this becomes standard practice is narrowing.