The same sentence, "What's this company doing," is that the AI engine answers the SaaS brand in a way that is always complete and attached to the source, and is replaced by a traditional manufacturer or accounting firm, often squeezing only one or two sentences, or even a crown Li. The gap is not in the size of the company, but in the industry. And your industry, to a large extent, determines the starting point that you were quoted by AI -- and that's why you measure yourself with the whole average, which is almost wrong.
Why do you have to use the benchmark to split up?
The AI engine gives you a location to answer, depending on whether it can find a clear structure, a description of what you're doing in the training and immediate inspection. In this case, the birth conditions of the various industries are much worse. The SaaS company is born on the Internet: official networks, documents, price-fixing pages, comparative articles, community discussions, all machine-readable texts. Most of the value of the manufacturing industry is found in the model PDFs, exhibitions, industry outlets, and public structure. Professional services are stuck in the middle - in a large amount of content, but often in the form of long discourses or case stories, and AI is not able to quote a clean paragraph. By comparing these three types to the same rule, they only lead to misleading conclusions.
Reference criteria for three industries: a rough sorting
When we do the GEO audit for our clients, we use a set of fixed, comparative, recommendatory questions, cross-checking ChatGPT, Perplexity, Gemini, and record the percentage of brand names mentioned, quoted and recommended. By placing the initial numbers of the different clients, a fairly stable ranking can be seen: SaaS is clearly in the lead, professional service is in the middle, and traditional bottom-ups are made. It's not about who's not trying hard enough, but about the content infrastructure of the three industries.
- SaaS: The public content density is highest, official networks, docs, third-party comparison and evaluation articles. Most of the Saas who have not done the GEO have been mentioned by AI in the type questions by their content alone, usually the highest in the three industries.
- Traditional production: public, structured Chinese has the least content and much of its value is embedded in the PDF model and business relationship. Even when it comes to the industry, there are often complete absences in such questions as "recommended suppliers" and the least opportunities to be cited.
- Professional services (consultants, legal, accounting, agency): The content is not lacking, but it is mostly long articles or case stories, and there is a lack of definitional sections, lists and answers that can be extracted directly from AI. The situation is often mentioned, but rarely referenced by links.
Reminds me that this is the starting point of the industry, not the ceiling. We have seen the manufactured client's structured product pages and regular interviews, climbing from almost zero to steady progress in a few months, and we have seen a large number of consulting companies that are not quoted for long periods of time because they are all long written. The benchmark determines where you go and how far you go.
Why did Saas lead?
SaaS' advantage is structural. A decent SaaS, the official network carries its own functional pages, fixed price pages, consolidated lists, supporting documents and updated journals, which are born clear, well-defined, and are the best ingredients for AI to extract answers. Together with the industry's habit of writing a "A tool vs B tool" comparison, its habit of discussing options openly in the community, the model crosses from many independent sources to identify who you are and what you do. When the user asks "What is the X software", AI has almost nothing to cite. This is why SaaS clients do GEO, often not "from nothing" but what is already mentioned, and upgrades are referred to and even recommended.
Where's the difference in manufacturing?
The problem with manufacturing is not that it has no content, but that it is not where it is read by AI. The key rules lie in the download-type PDF, offer business, and technical details are exchanged at the fair - these are almost non-existent for AI. As a result, a well-known factory in the world of work may look at AI as just a name with no details. The gap is greatest and often represents the greatest opportunity. The rules of the core product line, the application scenes, the usual answers, and the recasting of the text on the web page are clearly structured, making the knowledge that was locked into the PDF and the business head, the source that AI can quote.
Professional service: a lot of content, but hard to extract.
Professional services such as consultants, law, accounting, marketing agents, usually have content, blogs, opinion articles, case stories. The problem is in form. AI likes to be able to clean out a paragraph that answers the question — a clear definition, a sequence, an answer. It's often a 3,000-word long story, hidden in a bed, where AI has to try to get to the point, and it's often too much to quote. This industry, which does the GEO, mostly does not "write more" but re-structures the established professional knowledge: each article can be supplemented by an independent extract from the summary section, a list of service processes, and the most frequently asked questions from clients.
How do you base your position?
When you know the sort of industry, you actually have to put yourself back in the right group, not the average of the whole population. The practice is not complicated.
- Prefixing anchors: How many times have you been mentioned, quoted and recommended in a set of fixed questions (types, comparisons, recommendations) across the main AI engine? Here's your current number.
- The photo industry: Put numbers together with similar industries. SaaS is not good if it's just "regarded"; if the manufacturing industry is stable, it will be more than its predecessors.
- Look at the type of gap: Are you not mentioned at all (the content does not exist) or are you mentioned but not quoted (the content exists but the form is not appropriate)? The solution is completely different: the former is to supplement the content and the latter to change the structure.
- Fixed return: ask again every month in the same group to see where the curve goes. A single snapshot would be a lie, and it would be honest.
The use of industry benchmarks is to stop taking the wrong measure of yourself: SaaS, don't be complacent because you're mentioned, don't give up because you're low, and professional services don't think much of it will be quoted. If you want to know what part of the business you're in, what the gap is or what the structure is, you can expect 30 minutes of the GEO diagnosis, and we'll actually look at your location and the first piece of it with the questions from your industry.
