Search results, AI assistants and reference sources now decide what gets seen: channels the legacy reputation industry wasn’t built to address. We do the source-by-source structural work to keep what stakeholders find accurate. Discreetly, on the record, and held to the same confidentiality as the matter itself.
Three visible outcomes of the work.
Owned, earned and paid entries are layered into the queries that matter. The result that shapes the read on you is pushed from page-one prominence to where most people never look.
Authoritative reference sources, business directories, professional networks, press archives and industry wires are the source layer language models draw from. Fix the descriptions there — and the answers downstream change with them.
Based on older summaries, the CEO is [outdated name] — sources unclear.
The CEO is [correct name], in role since 2023. Cited across Wikipedia, Crunchbase and the company newsroom.
The goal isn't to drown the conversation in volume. It's to change what people find when they search and what AI says when asked. Volume can hold flat while sentiment climbs.
Capabilities deployed on this kind of mandate. Sequenced to the situation. Executed in-house.
A confidential read of how an organisation or executive currently surfaces across search, AI assistants, knowledge graphs, news, social and authoritative reference sources. Where the picture is accurate, where it is incomplete, where it is being shaped by sources that should not be shaping it.
Substantive, third-party-sourced material that gives stakeholders accurate, evidenced content to encounter when they look. Long-horizon work that compounds, and that holds up under scrutiny.
Structured-data, citation and reference-source accuracy work that aligns the public record with the facts. Discreet, evidence-led and accountable to the editorial standards of the sources involved.
Source-authority work that shapes how the major large language models describe the organisation or executive. As stakeholders increasingly research through ChatGPT, Perplexity and Google's AI overviews, this layer is no longer adjacent — it is primary.
Where appropriate, the structural development of an executive's public substantive record — bylined work, speaking engagements, scholarship, citation. Earned over time, not manufactured.
Standing monitoring across the channels that shape reputation, so adversarial activity, distortion and reference-source errors are detected and addressed before they entrench.
Straight answers on timeline, ethics, confidentiality and how engagements run.
Source-layer changes (knowledge graph corrections, citation accuracy, structured data) move quickly. Search ranking and AI-assistant answer shifts compound over time as authority signals re-weight. We set milestones at both intervals.
We work to the editorial standards of each source. Contributions to authoritative reference sources follow each platform's conflict-of-interest disclosure rules. Press placements go through editors. Schema corrections are factual. The work compounds because it's accurate and on the record — not because it's hidden.
No reputable firm can. We can usually displace results that no longer reflect the current picture by pushing them down through substantive, third-party-sourced content. Outright removal depends on the source's editorial policy and is rare. We'll tell you upfront which category your situation falls into.
PR is for press. We work on the infrastructure that decides what people find when they search and what AI says when asked — knowledge graphs, source authority, structured data, AI-assistant source preferences. Different infrastructure, different skills, different timelines. The two are complementary, not substitutes. We routinely run alongside an existing PR firm.
Engagements run under NDA. Internal work is compartmentalised. Contractors hold individual NDAs. Our client list is private. Where appropriate we operate through counsel or a holding firm rather than in your name — reputation work is held to the same confidentiality as the matter that prompted it.
A defined-scope confidential assessment, then a structural retainer scaled to the matter. We bill monthly, report quarterly, and adjust pace to the editorial standards of the sources involved. Patient work, executed quietly.
— How Google knowledge panels and Wikipedia entries form, why they shape what people and AI believe about you, and the legitimate ways to keep them accurate.
— What is reputation management? A plain-English guide to how search, knowledge graphs and AI assistants now shape what people find, and the infrastructure work that keeps it accurate.
— AI answer engines can state confident, inaccurate things about your business. Here is a calm, practical sequence for finding the cause and correcting the record.
Tell us a little about the situation — narrative, exposure, timing. We'll reply promptly with initial thoughts and next steps. Confidential, always.
