AEO for in-house marketing teams

An engineering team for your marketing team.

AI search work crosses the hard seams of a custom website: CMS workflows and templates, rendering, schema and crawlability, content architecture, and server logs. It also depends on the editorial pages and off-site sources that corroborate your business.

Canonry connects the program, executes it or gives your team scoped, evidence-backed tickets, and measures what changes across prompts and engines. Start with the free audit for a dated baseline.

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Reporting up

A screenshot is not a number.

AI answers shift by account, geography, history, model, and time. One lucky screenshot does not survive a channel review, and neither does one bad one. Every AI Visibility Tool Is Lying to You sets out the measurement problem in full.

What leadership asksA screenshotA Canonry program
The questionAre we in ChatGPT?Which buyer questions name us, on which engine, and how often
The sampleOne answer, one account, one momentRepeated runs per prompt per engine, with the variance shown
The comparisonA competitor happened to appearShare of voice against the competitors AI actually names
The next stepUnclearThe pages cited as sources, and the fix ranked by impact

Franchise portfolio

One top-level domain, many markets to measure.

Each franchise market has its own buyer questions, competitors, pages, mentions, and citations. Canonry Custom keeps that evidence separate per market, then rolls it up for the portfolio. The write-up on one site with many markets walks through how that works.

Canonry Custom is for in-house franchise marketing teams managing this work across one top-level domain.

How the program runs

Three steps, then a cadence.

Canonry runs all three, or just the one your engineers have no sprint for. Already working with an SEO agency? We can sit alongside them, or go behind them white-label if they would rather own it.

  1. 01

    Baseline

    Score the pages that matter across 16 onsite factors, then record which buyer prompts return you, a competitor, or nothing.

  2. 02

    Execute

    Custom CMS and template work, rendering, schema, crawler access, analytics and log analysis, editorial content, entity consistency, and off-site corroboration. We implement, or hand your engineers scoped tickets.

  3. 03

    Report

    Movement per prompt and per engine, plus AI crawler and referral traffic separated from ordinary traffic, on your review cadence.

Direct answers

Before you take this to a budget conversation.

Why does AI search need engineers and not just content people?

Because it is not only content work. AI systems need useful editorial pages and credible third-party sources to understand what you can answer, while a custom website must expose those facts reliably through its CMS, templates, rendering, HTML, schema, crawler rules, redirects, analytics, and server logs. Coordinating all of that across owners and release cycles—then showing which changes shift citations—is the work. Canonry covers the program end-to-end, or works alongside the people who own each part.

Our engineering team could build this. Why would we not?

They could. The question is whether AI search outranks the product roadmap this quarter, because that is the queue it joins. Teams that build it internally usually spend a quarter on tooling and methodology before producing a number they trust, then own the maintenance as engines change. Canonry has already paid that cost, and the platform is open source if you would rather run it yourself.

We already have an SEO agency. Does Canonry replace them?

Not necessarily. Your team can keep Canonry as the independent AI search measurement layer while the agency executes against it, or Canonry can run the AEO-specific technical, entity, and monitoring work that sits outside a standard SEO retainer. If the agency would rather own the whole program, they can bring Canonry in as their white-label delivery team instead.

How do we report this to leadership?

Per prompt and per engine across repeated runs, not single screenshots, because AI answers are non-deterministic and vary by model and run. You get cited, mentioned, or absent, which competitors appeared, which pages were used as sources, and how each moved since the last baseline.

Does this work for a franchise across many markets?

Yes. Canonry Custom is for in-house franchise marketing teams managing one top-level domain across many markets. Each market keeps its own buyer questions, competitors, pages, mentions, and citations, with a portfolio rollup.

AEO for marketing teams

Borrow the engineering team. Start with one URL.

No email required for the first check. Most audits finish in 5 to 15 seconds.

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AEO for In-House Marketing Teams | Canonry