AI quotes not from more blogs. The tool factory in this station pulls the AI reference rate from 0 to 34% in 90 days, and we don't have a major change in the web set-up, and we don't break the ad -- the real pointer is to tear the question of the buyer asking AI down to a point where the answer to each question is a paragraph that AI can clean out.
Starting point: The brand is equal to non-existent in AI
This manufacturer does five axes of the CNC processing centre, which accounts for 70 percent of the revenue, and most of the clients are East and South-East Asian and European molds, high-class suppliers. The situation was typical when they came to Tenten: Google passed its natural ranking, the network visited thousands of times a month, but the business started to pay back one thing — more and more overseas shopping said, “I asked ChatGPT first.” The question is, when we actually ask, AI's answer is never to them.
We're using a set of fixed shopping situations to cross ChatGPT, Perplexity, Gemini, three times each, record whether brands are mentioned, considered recommended, attached. The results of the first baseline test were quite straightforward: 38 questions, and the number of times cited was zero. The competition, which includes two Japanese and a Taiwan-based business, has stabilized among the problems of the "Recommendation of Small and Medium Quantities Modeling Devices" in the Taiwan Five Axis Processing Center.
We asked 38 real questions.
Most of the content of the manufacturing website is written for yourself: a schedule, company evolution, flowers. These pages are almost useless in the face of AI, because the purchase does not ask "what year your company was founded." The first step of the GEO audit is to sort out the questions that buyers really throw to AI on their decision-making path, and then examine whether there is a good enough answer to be drawn.
We split these 38 questions into three layers, and this is the skeleton that follows:
- Situation level: like "Small and medium-volume alloy parts should use three or five axes" "What are the plant conditions to prepare before the 5-axis processing centre enters the field" -- the buyer asked when the demand was cleared.
- Comparative Level: "What are the brands of Taiwan's Five Axis Processing Center?"
- Standard level: "How much does the main axis turn fit for hard matter high-speed cutting" "Performance ±0.005 mm represents what in practice" -- technical questions are asked when a customs check.
In contrast, their original website answered only a fraction of the hierarchy, and the answer was buried in a PDF-type book, and AI could not read it. The situational and comparative levels -- the first and most frequently asked AI -- are completely blank. This is the structural reason for the zero reference rate.
Three things, get the citation rate moving in 90 days.
We didn't change a hundred things at a time. First of all, there are three of the highest-rated items, each of which corresponds to the list of questions.
One, change the answer to "AI."
We're dealing with every question at the situational and comparative levels, each with an 80-150 word, starting with the answer to the conclusion, and putting it in the text of the corresponding web page, rather than plugging in a model or video. The key is not to write longer, but to write more alone: one thing is clear, not dependent on context, not buried in images. In particular, the content of the comparison is honest – as we actually write about the advantages of the Sunrise equipment in some of the more demanding applications, we have made AI more willing to mention the company as a ‘high-priced option’.
ii. Complementing structural data and verifiable facts
AI will try to confirm its credibility before citing a source. We use product specifications, authentications, real exchange cases to structure data, and to clearly identify the verifiable facts on the page, such as precision numbers, suitable materials, process size ranges. The vague word for marketing ( "predominant quality") has been deleted and replaced with a specific number. The AI engine prefers to verify the content, a step that has led to the most rapid recovery in the reference rate for the issue of the hierarchy.
Three, in Brand Radar, one week, only the quoted page.
We use Brand Radar to run the same group of 38 questions every week, documenting which problems are starting to appear in the brand, at the top of the line, and whether there are links. This has the effect that the team no longer changes the content by feeling — the answer to which page has gone into AI strengthens it, the page or the blank paragraph. The iterative speed of GEO depends on how fast you see the backlash, which is much more useful than watching Google Analytics once a week.
And the manager of the company's sales said, "I used to write like I threw it in a black hole, and now every week I see what's been bit by AI and what's not yet." It's not until the team knows what's next."
90-day numbers
The 90-day rerun of the baseline tests, 38 of the shopping problems, the number of brands quoted by AI reached 34 per cent, with the best quotes of the more problematic ones, because that is the most complete level we have. The adjoining effect is a small increase in the flow of natural searches of the official network - writing the content can be extracted by AI, and usually makes it more consistent with traditional search intentions. And what's more, there's business feedback: there's an offshore purchase that says "I saw AI recommend you" on the first call, which never happened 90 days ago.
How can you copy this?
If you're in the manufacturing business or B2B SaaS, you want to know what your current AI quote rate is, it's easy to start with: listing 30 to 40 clients who really are going to lose to AI, go to ChatGPT and Personal, ask each other, and count how many times. Most of the companies that do it for the first time, the numbers are so low that they're not comfortable — that's the opportunity, because most of the competitors have not filled this.
If you want to walk a little bit less, you can make a direct appointment of 30 minutes of GEO's diagnosis. In the same way, we're going to help you measure the current citation criteria and point out the most important gaps, and you're going to know which three things should be done first in 90 days.
