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Brandx — for business branding

Marketing and Performance

Make your business legible to the systems that now summarise the web.

Entity clarity, evidence and machine-readable relationships so AI systems describe your business accurately.

Typical timeline
6–10 weeks for the first pass, then quarterly
Growth stage
Build · Scale

The problem this solves

When an AI assistant is asked to recommend an agency in Kathmandu, it assembles an answer from whatever it can verify. Businesses that describe themselves inconsistently — a different legal name here, an old address there, claims with no source — are either omitted or described wrongly. There is no appeal process for an inaccurate summary.

Who this is for

Established businesses whose customers research through AI tools, and companies whose name, address or service list currently differs between their website, directories and social profiles. If your business is new with little published about it, start with the fundamentals rather than this.

Deliverables

  • Entity audit: every public statement of your name, address, contact details and services
  • Consistency correction across website, directories and social profiles
  • Organization and Service structured data with stable identifiers linking your entities together
  • Named authors with genuine biographies on published content
  • Publication and update dates on everything that carries a claim
  • Original first-party material — research, case studies, methodology — that gives systems something citable

How we run it

  1. 01

    Entity audit

    We collect every public description of the business and list the contradictions. Most companies find at least one wrong phone number and one abandoned profile.

    You receive

    Entity inconsistency report

  2. 02

    Consolidate

    One canonical description of the business, applied everywhere, with the legal name and brand name stated distinctly.

    You receive

    Canonical entity record, applied

  3. 03

    Machine-readable relationships

    JSON-LD with stable identifiers so the organisation, its services, its location and its content are connected rather than described separately on each page.

    You receive

    Linked structured data across templates

  4. 04

    Evidence

    Original case studies, stated methodology and sourced claims. Systems cite what they can verify, and we do not invent what cannot be.

    You receive

    Published evidence with citations

Tools and platforms

  • Schema.org validation and Google Rich Results Test
  • Directory and citation consistency checks
  • Manual assistant testing across major AI tools
  • Search Console entity and brand query reporting

Commissioning this

Three ways to buy this work.

As part of a monthly plan, inside a custom plan built around your quantities, or as a standalone project quoted in a written proposal.

View Plans and PricingBuild a Custom Plan
Request a Proposal

What the fee does not cover

  • Any guarantee of citation or inclusion in AI answers
  • Fabricated statistics, studies or authors, under any circumstances
  • Changes to AI training crawler permissions without your written instruction

Recommended for

Related work

No published case study covers this service yet. Brandx was established in May 2026 and we publish client work only once the engagement has completed and the client has approved it — so this space stays empty rather than being filled with something borrowed. See how we work instead

Frequently asked questions

Is GEO a real discipline or marketing language?
The label is new and somewhat oversold. The underlying work is not: consistent entity data, verifiable claims, named authors, dated content, structured relationships and crawlable text have mattered for years. What has changed is the cost of getting them wrong, because an AI summary is read by more people than the tenth blue link ever was.
Does llms.txt help?
It is an experimental convention, not a standard, and no major AI provider has committed to honouring it. We can add one — it costs almost nothing — but we will not describe it as a ranking factor, because there is no evidence that it is one.
Should we block AI crawlers?
That is your decision and we will not make it for you. Blocking model-training crawlers protects your content from being used as training data; it may also reduce how often you are cited. Search and indexing crawlers are a separate matter and blocking those would remove you from search entirely. We will explain the trade-off and implement whichever you choose.

Related services

  • Answer Engine OptimisationContent structured so search engines and AI assistants can quote your business directly and correctly.
  • SEOTechnical health, content and authority built as one programme, reported on qualified visits rather than rankings alone.
  • Content MarketingResearch-led articles, guides and resources that earn search visibility and answer real buying questions.

Related insights

Ready to talk about generative engine optimisation?

A working session, not a sales call. We will tell you if this is not the thing you need.

Book a Strategy SessionBuild My Brand