Digital Reputation Management · Our approach

Our Digital Reputation Management Approach


For most of the last two decades, “reputation” lived inside the communications function. A CCO managed the narrative through earned media, owned channels, and relationships with reporters. That world still exists. But it now runs on top of a second, deeper layer, one that determines whether the story actually reaches anyone.

When a board member, a regulator, an LP, a journalist, a recruit, or a customer wants to understand a company or an executive, they typically start with Google, and increasingly with ChatGPT, Gemini, Claude, Perplexity, or Copilot. What those systems return, the ten blue links, the knowledge panel, the AI-generated summary, is the reputation.

How we’re different

Not PR, not SEO, not suppression.

PR

We are not a PR firm.

We do not pitch reporters, place stories, or manage media relationships. We work alongside the firms that do. They handle narrative and media; we handle the technical and content infrastructure that determines whether that narrative reaches people through Google and AI.

SEO

We are not an SEO agency.

Traditional SEO optimizes for traffic and conversion. Reputation work optimizes for what specific people see when they search a specific name or brand. Different goals, different toolkit, different success metric.

Suppression

We are not a suppression firm.

Traditional ORM fights the algorithm with networks of low-quality content and fake profiles. That work is brittle, often unethical, and increasingly ineffective as Google and AI get better at recognizing manipulation.

We do the opposite

We work with the platforms.

We study how Google ranks, how AI models source their answers, and what Wikipedia accepts as credible, and we curate a client’s broader digital presence so that the preferred narrative is the one those systems naturally elevate. The work is durable because it is built on the same logic the platforms themselves use.

See the methodology in depth →
Our approach

Every engagement starts with the same conviction.

You cannot manage what you have not measured, and you cannot fix what you do not understand.

01

We lead with data

Before we recommend anything, we audit: Google results for every reputational query that matters, all major AI models, Wikipedia and Wikidata, knowledge panels, structured data and third-party citations. The result is a clear, evidence-based picture of the actual problem, and an internal alignment tool that gets stakeholders to agree on what to do.

Audit before anything
02

We work every layer, in-house

Five Blocks does not outsource. Wikipedia research and editing, structured data, AI content strategy, owned content and entity optimization are all done by our own team. Our staff averages well over a decade of experience, and the senior practitioner assigned in month one is the same one accountable in month twelve.

No outsourcing
03

We use peer analysis as a method

In every engagement we study what is working for a client’s peers and competitors: which content AI models cite, which Wikipedia structures are most defensible, which third-party sources drive positive narratives. AIQ shows, with data, which sources shape how you are described versus a peer, and what to do about the gap.

Powered by AIQ
04

We build for durability

We optimize for what holds up six, twelve, twenty-four months out, through algorithm changes, news cycles, and the rapid evolution of AI models. That means structural assets that compound: a strong Wikipedia presence, well-architected owned content, accurate entity data, durable third-party citations.

Six, twelve, twenty-four months out
Our platforms

The data behind every recommendation.

Four proprietary platforms measure the layers we manage: Google results, AI answers, Wikipedia and geography. Clients get continuous access, so they are never guessing where they stand.

See the Digital Reputation Audit →
The IMPACT dashboard in report mode: page one of Google for five peer banks (sample data), searched from New York, side by side, with negative results shaded red and positive results green.
IMPACT™. Page one of Google for a set of peer brands, side by side, with negative results in red and positive results in green.
The AIQ dashboard: the key points eight AI engines make about a company, shaded red where they are critical, beside the top sources those engines cite, ranked by how often they appear.
AIQ. The key points AI engines make about a company, with the critical ones flagged, next to the sources each engine cites.
Ready to talk?

Whether you are in an active crisis or building defenses before one arrives.

Reach a senior specialist directly to discuss your situation. For active crises, we respond promptly, in lockstep with your communications and PR teams.

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