A qualified GEO audit report should not be turned around as a noun to explain the growth industry, but rather as a list of prioritized gaps: which shopping questions are answered in ChatGPT, Perplexity, Google AI Overviews, but not you; which page is blocked by the server from AI reptiles; which three things are the best to add next month. A lot of people paid for it, but they only got a bunch of hard-to-read images, so the paper, which we actually delivered to a B2B SaaS client, shows you how it looks and how to read each page.
Turn over the cover, the first page is a score.
The report begins without a brief description of the company, with a visual baseline. We use Brand Radar to pick up a set of fixed shopping tips, run through ChatGPT, Perplexity, Gemini and Google AI Overviews, and write down the proportion of your brand that is mentioned in your answers, the number of times you are mentioned, the number of competitions you stand next to. This page is the starting point for the entire report, and every improvement in the back is matched. In the case of the client, the initial brand reference rate was 18 percent, with only five of the 30 core shopping hints showing them, mostly behind the opponent. This number is not good in itself, but it allows for measurable coordinates for each subsequent recommendation.
Reporting seven fixed blocks.
After the baseline, the body is reported to be cut in seven pieces and the sequence is fixed. This arrangement is justified by the fact that when you get your second and third report in six months, you can see where you're going and where you're stuck.
- Visibility baseline: Brand Radar start score, with original cut-off for each set of hints
- Quote ratio: under the same hint, you and the top three competed for the same ratio.
- Hint overtook matrix: placing the questions of the shopping trip in a table, indicating which answers and which whole blanks
- Technical readability: test AI with isitagentready if the reptiles can catch your page with robots, structure data and rendering
- Content gap: list of pages and paragraphs that "have to exist but do not exist" by article Drop
- Competitions: Opposites do something right, making AI more willing to quote them.
- Thirty Days of Action: placing all the gaps above in a list of early and expected results
These seven pieces are not chapter decorations. The end of each piece responds to a move in which you can send a worker the next day, rather than an incomprehensible phrase like "recommended to strengthen the layout of content." The quality of the report lies in the ability to translate abstract visibility into a concrete to-do.
The hint covers the matrix. Most people understand what they're missing for the first time.
Covering the matrix looks like a scale. The left column is a real problem on the shopping trip, for example, "B2B electronic signature, Taiwan Code" "A and B house" "how long will it take to get in?" The top row is an AI engine; the grid is marked by which page you were quoted and which source you were quoted from. The blanks are the most honest, and they point directly to which question you are completely invisible to AI. The client's comparative hints are almost blank for a simple reason: they never answered "where are we different from the competition?" and AI could not quote.
The technology-readability page, where the most vulnerable leaks.
The content is so well written that the failure of AI to climb is simply non-existent. This page shows the client's key pages one by one: robots.txt has stopped GPTBot, PerplexityBot; does the important content have to be rendered by JavaScript to get an empty shell for reptiles who read only the source; does there be any FAQPage, Article, or not? The client's fixed price page, the entire form, was wrapped in interactive components that required clicks, and the reptile saw a blank. It takes hours to fix this problem, but it never happens, and it never knows that it's always hidden the most critical page for AI.
Last page: 30 days of action, just do it.
The report is included in a table that sorts all the gaps in front by "impact x good repair". Most often, small things that can be done during the week, such as the release of reptiles, the construction of data, the conversion of the hidden price sheet to plain text; the middle section is a page that needs to be written, and we will point directly to the suggested title and the question that this page should answer; the bottom is the larger project that requires cross-departmental cooperation. Each one of them is clear as to why it's in this position, which number is expected to push the benchmark. In 30 days' time, Brand Radar can see what really brings up the reference rate instead of feeling.
If you don't have such a report, most of you don't know which piece you're missing in the AI engine. If you want to see your own vision baseline and the first three gaps, you can expect a 30-minute GEO diagnosis (/content): We'll run a round using your real shopping hints, and you can see what the score at the beginning of the report is before you decide whether to do a full audit.
