Case study
Published 1 October 2026 · Person anonymized · Personal brand
This case is anonymized. The client is a senior financial services executive with a long public career. We do not name him, his companies or his markets.
When the work started, his digital identity was under attack. Fake news stories, fake images, networks of low-quality sites, the same claims syndicated across dozens of pages. And search engines had almost nothing from him to weigh against it: company registers, data aggregators and profiles written by other people.
Google and AI assistants describe a person by comparing sources. Facts that many sources repeat look true. If the person publishes nothing, the attacker's sources are the only ones that agree with each other, and a story copied onto twenty sites looks like consensus.
So the fix is to put his own sources into that comparison. Consistent, linked to each other, and clearly his.
The work started with a personal website. One page for each thing people check first: biography, business, news, contact. Two language versions, each page linked to its pair.
The news section matters most here. When a false story appears, his answer is published on his own site, in his own words, on a page search engines already trust as his.
He had no social media profiles at all. Not one. He is not a blogger, he did not want to be public, and he saw no reason to post anything anywhere. Unfortunately that is a common misconception among people in his position.
We talked it through and agreed on a few profiles. He still does not post to them himself. Others post for him, and only very rarely. The profiles are part of the foundation.
The markup on the site states the facts in a form machines read: role, company, education, awards, expertise. The site links to six official profiles, and each profile links back. For a search engine that is one person confirmed from seven places.
He had no knowledge panel. It was built from zero on top of the website and the profiles. When Google shows a box about him, its facts match what he publishes himself.
This foundation was built while the attacks were already running. Every fake story had a head start, and every answer came after it.
Had the website, the profiles and the panel existed earlier, the first fake story would have met an established identity. His own consistent sources would already have been part of the picture, and his pages would have been ready to answer. He might have avoided many of the problems that followed.
Banks, partners and regulators check a payment company and its executives before every deal. A fake story about frozen funds spreads fast in this industry, and it lands first wherever the company and its people have published nothing. We measured how 93 payment brands show up in Google and AI in our payment brand visibility research.
Don't wait until it all goes south for you or your brand. Book a consultation to see what we can do to fortify your brand presence on the web and in AI.
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