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Entity Optimization for Brands & Executives


Before Google or an AI engine can describe you accurately, it has to know exactly who you are. Entity Optimization makes sure search engines and AI engines recognize your company or executive as a distinct entity, with the right facts, the right knowledge panel and the right sources behind them.

When that is missing, people find a company with a similar name, an outdated title, the wrong headquarters, or an old story that now defines you. A company’s reputation and its leaders’ reputations are often linked, so many programs cover both.

Who it is for

When stakeholders can’t find, or misread, the entity

Brands and executives most often come to us when the picture search engines and AI engines hold is incomplete, outdated, or simply wrong, and the cost of getting it wrong keeps rising as AI answers replace the search query. Entity optimization is best in place before a crisis hits; if the crisis is already live, start with Reputation Crisis Management →

Companies or executives confused with another company or person of the same or a similar name
Brands and executives whose results are dominated by unfavorable, irrelevant or outdated information
New, renamed or merged companies, and newly appointed executives
Companies and executives facing an emerging crisis who need a strong presence in place
AI engines describe the brand or executive inaccurately or incompletely
What the program includes

The signals that tell machines who you are

Knowledge graphs and entity signals are among the most influential, and most overlooked, inputs to your reputation: the structured data points Google and AI engines use to construct a picture of a company or a person. We manage them as a single connected system, in-house, because that is how the platforms treat them.

01

Peer analysis and digital asset audit

What Google and AI engines show for you today, and how it compares with your peers.

02

Knowledge graph and Wikidata

Making sure Google’s knowledge panel and the structured data AI engines rely on are complete and accurate, so the entity that surfaces is the right one.

03

Notability

Building the record of independent coverage that Wikipedia and search engines look for.

04

Owned assets

Strengthening your own sites, bios, descriptions and structured data so they are the clearest source about you, with schema markup on the corporate site implemented correctly the first time.

05

Profiles

Creating and optimizing executive bios and social and business profiles, kept current and clearly separated from others who share a name.

06

Images and video

Making sure the right images and videos appear for your name, so the whole results page tells the same, current story.

07

Earned media and thought leadership

Promoting strong third party articles and amplifying your PR, so earned coverage and executive thought leadership surface where stakeholders search.

Where it shows up

A complete, accurate branded results page

When the entity signals are right, the payoff is visible on the page itself and in AI answers. We curate what surfaces across every SERP feature on your branded and reputational queries, so searchers find relevant, updated, and favorable content, not gaps, confusion, or stale records.

Knowledge Panel

The right entity, correctly described

The box that sits beside your name. We make sure it draws from accurate sources and presents the current, intended picture.

People Also Ask

The questions stakeholders see

The follow-on questions Google surfaces about you, shaped by the content and sources that answer them.

Sitelinks & Top Stories

What ranks beneath the name

The owned pages and recent coverage that fill the results page, strengthened where preferred and built where gaps exist.

AI Overviews

The summary above the links

Google’s generated answer, built from the same entity data and sources we curate, so the synthesis is accurate.

AI engines

How ChatGPT, Gemini & Claude describe you

The narrative AI engines construct from Wikipedia, your site, earned media, and structured data. Monitor it with AIQ →

Wikipedia

The most-cited third-party source

Heavily referenced by AI and surfaced prominently in Google. Managed transparently through Wikipedia Strategy & Management →

How we measure it

Daily data, in Google and in AI

We track your Google results every day with IMPACT™ and your AI answers with AIQ, across 8 AI engines. You see whether Google and AI describe you correctly, which sources they use, and how that changes over time.

How we work

We work with the platforms, not against the algorithm

We do not build networks of low-quality content or spin up profiles to game rankings. We study how Google ranks, how AI engines source their answers, and what Wikipedia accepts as credible, then curate your broader digital presence so the preferred picture is the one those systems naturally elevate.

Every piece of work is executed by our own team, in-house, in our offices in New York and Jerusalem. No white-label vendors, no offshore execution. The senior practitioner assigned in month one is the same one accountable in month twelve.

Timing: Programs run for a minimum of 6 months. Many start with a Digital Reputation Audit.

See the methodology in depth →
Audit first
We map the full entity landscape across Google, AI engines, Wikipedia, Wikidata, and structured data, and compare it with your peers, before recommending anything.
Curate the signals
Correct, complete, and align Wikidata, schema, and entity records so machines understand you correctly.
Build for durability
Accurate entity data and well-architected owned content compound, holding up through algorithm changes and across years.
Where to start

Get the entity right before it matters.

The right entry point for almost every client is a Digital Reputation Audit: a clear, evidence-based read on how Google, AI models, and Wikipedia understand your brand and its leaders, with a prioritized roadmap for what to do about it.

● Always confidential. No exceptions.

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