Canonical Business Explanation (CV-Style Definition Page)

Content first for AI Search: this page supports AI recommendation clarity by making one part of your positioning unambiguous.

Canonical Business Explanation (CV-Style Definition Page)

We write the content for you so AI systems can understand you, trust you, and recommend you. Not DIY. Not consulting. Not an agency retainer. Every page includes the AceCommerce AI Clarity Check™ (Pass/Fail AI Understanding Report).

AI doesn’t trust a business it can’t define. The Canonical Business Explanation is the CV-style definition block we write so AI can accurately classify you, summarize you, and know when to recommend you—without guessing.

What a Canonical Business Explanation is

It’s a short, structured explanation that makes your business easy to classify and hard to misinterpret.

Think of it as the “official definition” of your business. AI systems rely on stable definitions because they compress and summarize content. If your site has multiple vague definitions, AI produces a generic summary and avoids recommending you.

The exact elements we include (no drift)

  • Category: what you are in plain English.
  • Offer: what you deliver (deliverables, not promises).
  • Ideal fit: who it’s for + 3–5 use cases.
  • Anti‑fit: who it’s not for + exclusions.
  • Recommendation triggers: “If you need X… choose us.”
  • Trust signals: proof assets, process, policies, credentials.
  • Boundaries: what you do not do.

This is the content layer AI needs. It’s also the block you reuse across pages so your site stays consistent.

Where it goes on a site (placement)

We typically place it in one (or more) of these locations:

  • Homepage (near the top) as the main definition block
  • About page (as the “what we are / why trust us” anchor)
  • Service hub page (as the offer definition used for routing)
  • Pillar page (as the topic’s canonical definition)

Why this makes you more recommendable

AI recommendation is conservative. If the model isn’t sure you’re the right fit, it recommends a competitor with clearer boundaries.

A canonical explanation reduces uncertainty by making the definition stable, the fit explicit, and the trust signals easy to extract.

Common failure modes we fix

  • Vague category: “solutions,” “platform,” “agency” with no plain-English definition.
  • Offer implied: benefits described but deliverables missing.
  • No anti‑fit: no boundaries, so AI can’t recommend safely.
  • Claims without proof: “trusted/leading” with no evidence.
  • Inconsistent wording: different definitions across pages.

How we deliver it (execution)

  1. Extract your current claims/offers.
  2. Draft the one-sentence definition.
  3. Write the CV-style explanation block (250–450 words) in plain language.
  4. Insert it into the target pages.
  5. Run the AI Clarity Check™ (pass/fail).

LinkedIn Post Pack (copy/paste)

Each block below is written to stand alone as a LinkedIn post. Copy/paste as-is.

Post 1 — AI needs a stable definition

AI compresses your business into a short summary. If your site has multiple vague definitions, the summary becomes generic. Generic summary = weak recommendation. Write one canonical definition. Reuse it everywhere.

Post 2 — The canonical explanation is your “official story”

Not your origin story. Your definition story. Category. Offer. Fit. Anti-fit. Proof. That’s what makes you recommendable.

Post 3 — Anti-fit is an authority signal

Most sites avoid saying who they’re not for. That’s exactly why AI can’t recommend them confidently. Boundaries = trust.

Post 4 — Deliverables beat promises

“We help you grow” is not an offer. An offer is deliverables: • what you write • what you ship • what the client receives Clarity wins.

Post 5 — Reuse is the secret

Authority isn’t writing more. Authority is saying the same true thing consistently across pages so AI stops doubting it.

Post 6 — Canonical doesn’t mean long

250–450 words. Clean structure. No fluff. Just the missing boxes.

Post 7 — This is content-first SEO

Technical can’t fix unclear meaning. Meaning comes first. Then structure. Then tech.

Post 8 — The test

Ask an AI to define your business. If the answer is vague, your site is vague. Fix the definition block first.
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Related pages

FAQ

What is the Canonical Business Explanation?

A CV-style definition block that states what you are, what you deliver, who you’re for/not for, when to recommend you, and why to trust you—in plain language.

Is this the same as an About page?

No. About pages often tell a story. The canonical explanation is a definition asset designed to prevent misclassification and ambiguity.

How long is it?

Typically 250–450 words, plus optional bullet lists for fit/anti-fit and deliverables.

Where do you place it?

Usually on the homepage and about page, and sometimes on a service hub or pillar page to keep definitions consistent.

Why does AI care about this?

Because AI systems compress and summarize. Stable definitions reduce uncertainty and improve recommendation confidence.

What if we have multiple offers?

We define the primary offer first, then add a short routing map for secondary offers and link to the correct service pages.

Do you invent claims?

No. If a proof point isn’t true or isn’t provided, we don’t write it.

How do you verify it works?

We run the AceCommerce AI Clarity Check™ and require a PASS before shipping.

Is this included with a rewrite?

We write it as part of the page deliverable when it’s needed for clarity, or as a standalone page block if you want it published as its own page.

How much is it?

If it’s a core page deliverable, it’s priced as a core page at $295/page.

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