¶01 What happened, and what it is worth
On 7 September 2026 a Google AI Overview answered "marketing agency for NetSuite partners" by naming three firms. Artifexa was the first of them, and the citation panel beside the answer linked two Artifexa pages.
That is a single observation of a single result, on one day, in one session, and search results are personalised and localised. It is not a ranking, it is not a study, and it is not repeatable evidence of anything on its own. Recorded honestly, its label is observed: seen directly, once, in a stated state.
It is still worth writing about, for one reason. This page records what was visible in that result and what the cited pages contained. It offers practical writing advice from that example, without claiming to know the selection mechanism.
¶02 What makes a firm’s claims difficult to check
Clear claims with identifiable sources give readers and answer engines material they can check.
Adjectives such as trusted, leading and results-driven do not explain what a firm does or provide evidence for the claim. Specific services, relevant examples and named sources give readers more to check.
The second problem is corroboration. A firm whose entire evidence base sits on its own domain is asking to be taken on trust, and the same cross-referencing that catches an inflated claim also catches a contradicted one. If your site, directory listing, LinkedIn page and client evidence disagree, a reader or automated system has less reliable information to work with. Keep those facts consistent; this observation does not tell us how an engine responds to a contradiction.
The third is identity. Unclear company identity can make your firm harder to distinguish from similarly named businesses. There is a real firm with a name one letter from Artifexa's operating in an adjacent sector in another country. Clear names, contact details, links and matching structured data can help distinguish the businesses. Structured data supports the visible explanation; it does not resolve every ambiguity by itself.
¶03 Make each claim clear in context
A useful editorial check is whether a claim still makes sense when read on its own.
Search asks which page best answers a query, so a page can win on the strength of the whole. An AI answer may summarise a page and link to it. Writing claims that make sense on their own helps a reader check that summary without reconstructing every preceding paragraph.
Test your own copy on it. Take any sentence that makes a claim, put it on its own, and ask whether it still means something to someone who has read nothing else. "We deliver measurable outcomes for our clients" fails, and it fails everywhere. "The review is free, written, and yours to keep whoever does the work" survives, because it says what a thing is, what it costs and what happens next.
The same check applies to numbers. A figure without a period or source can be difficult to interpret. An illustrative figure such as "1,200 visitors" leaves the period and source unclear. Adding the measurement period, source and relevant limits makes the figure easier to interpret; it does not guarantee that anyone will repeat it.
¶04 What the cited pages had in common
Two Artifexa pages were cited. Neither was written for this. Both were written to answer a buyer question. That describes their content; it does not establish why Google cited them.
The following properties were visible in those two pages:
A question as the title, answered in the first paragraph
Not a service name. One cited page is called "Who does marketing for NetSuite partners in the UK?" and its opening line says there is no approved list. The answer is above the fold and does not require the rest of the page.
Named alternatives, including the ones that are not us
That page describes four kinds of provider and is honest about what each is good and bad at. A fair description of the options gives a buyer something useful to compare. This example does not establish that comparative pages are more likely to be selected by an answer engine.
Figures with periods and sources attached
Every measured number on the site names where it came from and when it was taken, and the ones that could not be measured are labelled as estimates or as not measured at all.
An organisation a machine can identify
Structured data naming the firm, its address, its contact point and the places it appears elsewhere. An experimental llms.txt file also identifies selected pages. These describe what Artifexa publishes; neither proves why the pages were cited.
Prices on the page
Published rather than gated behind a call. It is a fact rather than a claim, and facts are what a source is made of.
¶05 What this does not prove
Longer than the section above it, deliberately.
It does not prove causation. These pages have those properties and this firm was named, and there is no way from outside to show the second followed from the first. Something else may be doing the work, including the simple fact that few firms write about this niche at all.
It does not prove durability. AI Overviews are regenerated, they differ between users and locations, and a result observed once may not be there next week. Anyone quoting a single citation as a permanent position is doing the thing this page is warning about.
It does not prove commercial value. Being named is not an enquiry. Artifexa has not yet measured a single enquiry that arrived because of an AI answer, and will say so until it has.
And it is not a method you can buy with certainty. Nobody outside the companies running these systems knows how sources are chosen, and the honest version of this advice is that the properties above are good practice for a human reader too. If the answer engines changed tomorrow, a page that states its claims plainly, sources its numbers and describes its competitors fairly would still be the better page.
Google’s guidance on AI features and websites states that ordinary Search eligibility applies, with no special AI files or schema required. Eligibility does not guarantee inclusion. This guidance concerns Google AI Overviews and AI Mode, not every answer engine.
¶06 What to change on your own site
In order, cheapest first.
Date every number and name its source. The work required depends on the records available. A source, period and qualification give readers a clearer basis for interpreting a figure.
Rewrite your five most important claims so each survives on its own. Cover the page and say the claim out loud. If it needs the paragraph above it to make sense, clarify the missing context.
Answer the question your buyer actually types, using their words as the heading, with the answer in the first paragraph rather than at the end. Most service pages bury the answer under an argument for the service.
Mark up who you are. An organisation with an address and a contact point, with matching visible company information, to help readers and automated systems distinguish it from similarly named firms.
Then be findable somewhere that is not your own domain, so a claim on your site can be checked against something that is not your site.
None of that is a trick and none of it expires when the models change. If you want the same ground measured on your own firm rather than described in general, the free Visibility Review does exactly that, with every finding labelled the way the observation at the top of this page is labelled.