The success measure should include whether the coverage contains a usable descriptive sentence, not only whether it appeared and whether it linked. And the briefing material should lead with specifics rather than with positioning language.
The Mistake That Undoes Everything Markup is a claim, not evidence. Structured data asserting that you own a profile only helps when that profile exists and points back at you. Markup naming an author only helps when the author can be found elsewhere.
Reading Retrieval Rather Than Rankings Search reporting trained everyone to read a position number. This channel produces a body of text and a list of sources, and the useful information is mostly in the sources.
Press coverage spent two decades being valued in this industry mainly for the links it carried. That was always a reductive way to think about it, and it has now become an actively misleading one, because the mechanism that gives coverage its value here has nothing to do with links at all.
Treat markup as something with a maintenance cost rather than a one off implementation. Prices change, people leave, products are discontinued, and structured data quietly keeps asserting the old version long after the visible page has been updated. Adding a schema review to whatever process already updates your pages costs minutes and prevents the most damaging failure mode, which is confidently stating something that is no longer true.
Test it rather than assuming. Load your key pages with JavaScript disabled and see what survives. If the product specifications, pricing, service areas and contact details vanish, that is what a machine reads.
The defensible position is to spend an hour on it if you like, and to spend the rest of the week on the things every system already reads: accessible pages, accurate Organization markup, consistent identity and content a machine can quote.
Structured data attracts a particular kind of over-investment. Teams implement a dozen schema types, validate them all, and conclude the job is done, having spent most of their effort on markup that changes nothing about how a machine understands the business.
What to Do About llms.txt and Similar Files Proposals for machine readable files aimed specifically at language model consumers appear periodically. Adoption is inconsistent and support varies by provider, so treat these as low cost and speculative rather than as a requirement.
The acceptance rate on polite, specific correction requests is considerably higher than people expect, because no publication wants to be wrong. It costs an email and it fixes a source that may be feeding answers for years.
The test that keeps this honest is simple. Show the rewritten page to somebody who buys from you and ask whether it is clearer. If the answer is no, no amount of extraction friendliness makes it a good page. ai search optimization
The specific damage is that somebody sees a dip, rewrites a page, sees the number recover for unrelated reasons, and concludes the rewrite worked. That false lesson then gets applied elsewhere. A slower cadence with more runs per prompt is more informative than a faster one with fewer.
You will find discontinued products described as current, old addresses, superseded pricing and misattributed capabilities. Each of those is being read as evidence, and publishers generally accept factual corrections when you supply evidence and make it easy.
The Types That Rarely Earn Their Keep Elaborate breadcrumb hierarchies, speakable markup, deeply nested item lists and most of the specialised types outside their intended vertical produce little observable difference in how a brand is understood or recommended.
Coverage in a publication nobody cites is still worth having for reach and credibility. It is simply not visibility work, and counting it as such is how a public relations budget gets defended for years without moving anything measurable in this channel. ai search optimization
Keep the raw text of every answer, not just a tally. Six months in, the archive is the most useful thing you own, because it lets you see exactly when a competitor entered the shortlist, which source appeared alongside them, and whether your own description shifted from something a marketer wrote to something a customer would recognise. A score with no working behind it cannot tell you any of that. ai search optimization
Track coverage for accuracy rather than only for volume. A monthly search for mentions of your company, read with an eye to whether the details are correct, produces a steady stream of small correction requests with a high acceptance rate. It is unglamorous work, it costs an hour, and it repairs sources that may otherwise feed answers about you for years.
The consistent surprise is that niche trade publications and specialist directories appear far more often than general consumer press. A national newspaper mention is excellent for other reasons and frequently never appears in a citation list, while a sector publication nobody outside the industry has heard of turns up repeatedly.