Search Engine Journal published a piece on November 5, 2026 by Bartek Jazwinski arguing agencies should measure AI visibility beyond rankings and citations. The piece says to use inclusion, framing, and endorsement to show clients what changed and what to do next. The argument is that the old measures no longer capture how a brand actually appears inside AI answers, and agencies that stick to them will miss the story.
Rankings have been the default measure of SEO success for years, and citations have become the natural extension of that thinking in AI search. A ranking tells you where a page appears, and a citation tells you whether an AI answer linked to it. Both are useful, but neither captures how the brand is actually presented once the answer is generated. A brand can be cited and still be framed poorly, or it can be mentioned without being recommended, and a simple count will not reveal either problem. An agency that reports only positions may therefore tell a client that everything is improving, while the AI answers seen by real customers are telling a very different story.
That gap is why Jazwinski argues for a broader measure. Inclusion, framing, and endorsement look at the substance of the answer rather than just its presence. Inclusion asks whether the brand appears at all. Framing asks how it is described and in what context. Endorsement asks whether the AI answer actually recommends it. Together, those three lenses give a much fuller picture of visibility than a position number or a citation count alone. That fuller picture is harder to produce, but it is also more honest, because it reflects what a potential customer actually reads rather than where a page happens to sit in a list.
Inclusion is the starting point, because a brand that never appears in AI answers has no visibility to measure. But inclusion alone can be misleading, because appearing in an answer is not the same as appearing well. A brand might be listed as one option among many, mentioned only in passing, or included in a context that does not help it. Knowing that a brand was included is useful, but it does not say whether the inclusion was helpful. A brand that is included but described in unhelpful terms has a different problem from a brand that is missing entirely, and the remedy for each problem is different too.
Framing and endorsement fill in that missing detail. Framing captures whether the brand is described as reliable, affordable, premium, risky, or outdated, and whether it is placed alongside strong competitors or weak ones. Endorsement goes further, asking whether the AI answer actually suggests the brand as a good choice. A client who sees all three measures can understand not just whether they appeared, but how they were presented and whether that presentation is likely to win business. The distinction matters for reporting, because a client needs to know whether the work is changing how the brand is seen, not merely whether it is appearing somewhere in an answer.
For agencies, the shift is about showing clients what changed and what to do next. A report that only lists rankings and citations can leave a client wondering whether the work is actually helping, especially when AI answers are becoming a larger part of how people find information. A report built around inclusion, framing, and endorsement can show a clear before-and-after, and it can point to specific actions, such as improving how a brand is described or earning a stronger recommendation. A report that can show that progression gives a client a reason to keep investing, because it connects the work done to a change that is visible in the answers themselves.
For link builders, the argument is also relevant, because links and mentions shape how AI systems understand and describe a brand. A brand that is widely cited, well described, and consistently recommended is more likely to be framed positively in AI answers. That means the work of earning quality links and mentions is not just about rankings anymore. It is about shaping the story that AI systems tell about a brand, and that story is becoming a measurable part of visibility. In that sense, the new measures are not just a reporting change, because they also change what link building and content work are for, by tying them to how a brand is described and recommended.
Sources: Search Engine Journal, November 5, 2026.
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