Measured, not alarmist
Search changing doesn't mean content creation is ending. We try to describe shifts accurately without dramatizing them for attention.
About this project
Our Editorial Lens
We started paying close attention to AI Overviews and Search Generative Experience because the shift felt bigger than a typical algorithm update. This page explains how we approach the topic, and just as importantly, what we choose not to do.
What we're actually doing here
We read a lot: search engine documentation, publisher forum threads, transcripts of generative answers, and the occasional research paper on information retrieval. Then we write about what we noticed, framed for people who create content rather than people who build search engines.
We are not a software company. We don't sell an AI writing tool, a schema generator, or an SEO course. We're closer to a trade publication for a very specific moment: the one where search results stopped being only a list of links.
How we approach an analysis
Most pieces start with a specific, narrow question. Not "how does AI change SEO" broadly, but something like "does adding FAQ schema change whether a page gets quoted in a generative answer for how-to queries." We look at available documentation, observed behavior, and public commentary from people closer to the platforms, and we're upfront about where the evidence is thin.
When something is a pattern we've noticed rather than a confirmed mechanism, we say so. Search systems change quickly, and italicizing certainty where there isn't any doesn't help anyone plan.
What we deliberately avoid
- We don't promise that following any particular structure will get a page cited or ranked. Nobody can promise that honestly.
- We don't sell tools, plugins, or paid courses. If we mention a concept like schema markup, we explain it rather than sell an implementation.
- We don't publish invented statistics. If we don't have a verifiable source for a number, we describe the pattern in words instead.
- We aren't affiliated with Google, Microsoft, OpenAI, or any other search or AI provider. Our analysis is independent commentary.
Editorial values
The principles behind what we publish
-
-
Explain, don't oversimplify
Concepts like structured data and generative retrieval deserve a real explanation, not a one-line summary that leaves out the nuance.
-
Written for creators
We write for people who publish content, not for engineers building retrieval systems. The audience shapes every piece we put out.
-
Willing to revise
Search behavior shifts. When our understanding of something changes, we update the piece rather than leave outdated analysis standing.
A rough timeline
How we've watched this shift unfold
-
Early generative search experiments began appearing in limited testing, prompting the first round of publisher conversations about what a summarized answer might mean for referral traffic.
-
AI-generated overviews started appearing more broadly across search results, moving the conversation from "will this happen" to "how do we adapt to it."
-
Discussion among publishers shifted toward measurement: how do you track value from an impression that never becomes a click.
-
Newsletter growth and direct audience strategy became a recurring theme in publisher conversations, as a hedge against unpredictable referral traffic.
Common questions about this site
Do you offer consulting or audits?
No. This site is purely editorial. We don't offer paid consulting, audits, or personalized recommendations for individual websites.
Where does your information come from?
Public documentation from search platforms, publisher and creator discussions, and our own observation of generative answer behavior across a range of queries.
How often is content updated?
We revisit pieces when the underlying behavior we described appears to have changed, rather than on a fixed schedule.