Step 1
Brand description baseline
We define the canonical description of who you are — name, category, audience, what you do — that the rest of the project aligns to. Without this anchor, every later correction is just a guess.
Entity clarity
Brand Entity Consistency for B2B: Help AI Search Understand Who You Are
AI search engines cannot cite a business they cannot clearly identify. We make your company easier to recognise across your site, third-party mentions, profiles, structured data, and bilingual content. It's a focused project with a clear delivery scope, run by the same person who would help build it.
Common starting state
What's broken when AI search can't recognise your business
AI assistants describe your business differently in different answers — wrong category, wrong size, sometimes the wrong audience.
Your About page, your founder's profile, your sales deck and your press mentions say four different things about who you are.
Your EN and ES versions describe the business so differently that AI search treats them as two unrelated companies.
Your structured data contradicts what your on-page content says.
Your name and category vary across third-party mentions, podcast bios, and directory listings.
Your team writes about the company case by case, without a shared description that anchors what you do.
How the project works
The project is a focused engagement with a clear delivery scope. We map how your business is currently described across your site, structured data, third-party mentions, EN and ES content, and the materials your team uses in sales and external communication, then we align everything to one canonical description AI search engines can recognise. The deliverable is a build plan with the shared description, the corrections list, and the criteria your team can use to keep things aligned over time. It's the focused fix for the brand recognition gap, not a replacement for our full GEO consulting work.
What we deliver
What's included in the project
Step 2
Site-wide content alignment
We check every page that describes the business — homepage, About, solutions, case studies — for inconsistencies with the baseline, and produce the correction list.
Step 3
Structured data and on-page alignment
We align your schema, metadata, and on-page facts so they tell AI search engines the same story your content does.
Step 4
EN and ES content parity
We compare your English and Spanish versions side by side and align them so AI search treats them as one bilingual company, not two unrelated ones.
Step 5
Third-party mentions and profiles
We review your name, category and description across third-party mentions, podcast bios, directories, and founder profiles, and flag what needs correction.
Step 6
Team enablement and handover
We hand your team the shared description, the corrections list, and the criteria for keeping things consistent in materials, sales decks, and future content.
AI search engines have a clearer picture of who you are and what you do.
Your team has a shared description it can use in any material.
Your English and Spanish versions stop looking like different companies.
You stop sending mixed signals across the sources AI search reads.
You get a build plan you can execute, not a retainer that runs forever.
You can keep the consistency standard yourself after handover.
Frequently asked questions
How is this different from regular brand consistency?
Regular brand consistency focuses on logo, colour, tone, and visual identity for humans. This focuses on the textual and structured signals AI search engines use to identify a business. Same idea, different audience — and the AI version covers things (third-party mentions, structured data, EN/ES parity) that visual brand work usually skips.
Do I need a Wikipedia page or Knowledge Panel for this to work?
They can help, but they aren't the only path and they aren't the first step. AI search engines read across many sources — your site, structured data, third-party mentions, directories, podcasts, social profiles. The priority is that your business is consistent across the sources they actually compare. Wikipedia is one source, not the source.
Does this work if I'm only in English (or only in Spanish)?
Yes. The EN/ES parity check is one part of the project. If you operate in only one language, that step is skipped and the rest runs the same — site, structured data, third-party mentions, profiles, team materials.
What's the difference between this and the GEO audit?
The GEO audit diagnoses what AI search engines can understand about your business across five fronts, of which entity clarity is one. This project is the focused fix for the entity clarity fronts when the audit shows that's the main blocker. The audit is the diagnosis; this is the implementation.
Do you also implement, or just produce the plan?
The deliverable is a build plan, the shared description, the corrections list, and the criteria for staying consistent. We can run the implementation if you want, as part of our full GEO consulting work, or you can hand the plan to your own team. Both paths are valid.
What does this project NOT do?
It doesn't run paid PR campaigns to get you mentioned where you currently aren't. It doesn't manage your social media or content calendar. It doesn't guarantee mentions in ChatGPT, Perplexity or any specific AI assistant. It focuses on making the business you already have easier to recognise — not on inventing presence that isn't earned.
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Book a call to scope your brand entity consistency project. If the work uncovers gaps that go beyond consistency — content, schema, EN/ES parity — it becomes the entry point to our full GEO consulting work.
Book a call