For in-house marketing teams
AI visibility for in-house marketing teams: eight workflows for treating AI as a channel
AI assistants are sending you visitors and their crawlers are reading your site every day. These eight workflows give an in-house marketing team a way to measure AI as a channel, govern the crawlers, and report on what it says about the brand.
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8 of 28 guides in the Spyglasses workflow series.
AI became a channel before anyone built the channel report.
Assistants are sending real people to your site, and they're reading it constantly whether or not you asked them to. Most teams can see neither clearly. Referral data is thin because plenty of assistant visits arrive with no referrer, and the crawling shows up as noise in server logs.
You can close that gap without hiring anyone. Measure what AI takes and what it sends, fix the technical reasons good pages never get cited, decide which bots you actually want, and connect the content you ship to what changes afterward. Put those together and you have a channel report.
Each workflow below links to a full article with the steps and the dashboards they map to. The first two are the ones to run first.
Key takeaways
- AI traffic splits into crawls and human clickthroughs, and the two mean different things.
- Plenty of pages fail on technical readiness before the writing ever matters.
- Blocking every bot also blocks the assistants that send you visitors.
- Tie the work to a goal and a date so any change in the trend has an explanation.
Measure the channel
Ground truth first, then connect it to the work you ship.
Fix what blocks you
The reasons good pages don't get cited are often not about the writing.
Govern the crawl
See who's taking what, then decide what you allow.
Launch and protect
Two moments where being set up early is most of the value.
What you'll use along the way
The workflows stand on their own, and every one of them names the tool it leans on.
See what AI is doing on your site
Start with the numbers you already have. A visibility report shows what assistants say about you, and traffic analytics shows what they take and what they send back.
Other roles, same series
The workflows overlap more than the job titles do. These hubs cover the rest of the set.
AI visibility guides for marketing agencies
Marketing agencies →AI visibility guides for PR and communications teams
PR and communications →AI visibility guides for content teams
Content teams →Frequently asked questions
Does AI traffic show up in Google Analytics?
Partly, and not reliably. Some assistant referrals arrive with no referrer at all, and crawler visits aren't sessions in the first place. Server-side detection separates the two and can forward the clean version into GA4.
Should I block AI crawlers?
Not all of them. The bots that train models and the ones that answer live questions are different populations, and blocking everything removes you from the answers that send visitors. Split them and decide per category.
Why doesn't AI cite our best pages?
Often it's technical. The content isn't reachable, the page renders too slowly, or the answer is buried somewhere a retrieval step won't find it. A readiness audit catches those before you rewrite anything.
How fast does new content show up in AI answers?
It follows how often AI refetches your site, and that varies a lot page by page. Measure your own cadence and time updates to it rather than assuming a week.