Answers
How to Read RankAI's FAQ: AI Engines and Google
The RankAI FAQ is a reading guide, not a ranking promise. Here is how to read it engine by engine and keep AI visibility separate from Google.
To understand which AI engines read a site and how that reading relates to Google, open the RankAI FAQ and read the results one engine at a time. What follows is a working method proposed by RankAI for reading that page, not a universal standard. The FAQ is a guide to interpretation, not a guarantee of position.
The public pages name ChatGPT, Perplexity, Gemini, Grok and Google AI. Claude and Grok are measured only after you connect them. Reading an AI engine is not the same as reading Google, and Gemini and Google AI Overviews are not the same observation. Keep these apart before you draw any conclusion.
Reading the FAQ engine by engine
The FAQ refers to the engines named publicly. The starting point never changes: one site, one engine, one reading. Do not add up observations from different engines as if they were a single indicator, because each engine reads in its own way and the results are not interchangeable.
- Start from the engine, not the site. Open the FAQ and find the engine you care about among those named. Check: the engine's name appears on the page and the reading you are looking at is attributed to that engine, not to an aggregate.
- Check whether the engine is observable right away or only after connecting. ChatGPT, Perplexity, Gemini, Grok and Google AI are named on the public pages; Claude and Grok are measured only after you connect them. Check: separate what you see without connecting from what requires a connection, and do not attribute the second to the first.
- Treat Gemini and Google AI Overviews as distinct observations. Check: when you read a result, confirm which of the two it refers to; if that is unclear, do not merge them into one entry.
- Link the AI reading to Google without overlapping them. Use two separate columns: what the AI engine reads and what Google reads. Check: for every entry you can name the source of the observation, and you never use the AI reading as proof of the Google reading.
The link to Google: what you can and cannot conclude
The link between an AI engine's reading and Google is a comparison between observations, not a causal chain. If one AI engine reads a page and Google AI reads another, you have two useful pieces of information about how the site is interpreted, but no proof that one reading determines the other. The FAQ helps you hold that boundary: on one side the readings of the AI engines observed, on the other the reading attributed to Google AI.
A concrete example
Suppose you want to understand why a page is cited by ChatGPT but does not appear in the observations attributed to Google AI. In the FAQ you read the ChatGPT entry and the Google AI entry separately: the first tells you how that engine read the page, the second tells you what comes up for Google AI. You cannot conclude that the ChatGPT reading explains the absence in Google AI, or the reverse. You can, however, use the two readings to work out whether the problem lies in the page, in how an engine interprets it, or in the different observation.
The contribution of this piece is a reading method we call the "two-column" approach. On a sheet of paper, or in a table, open two columns: on the left the reading of the AI engine you are observing, on the right the reading attributed to Google AI. For each page you care about, note in each column what comes up and which engine it was observed with. The rule is simple: no row may contain observations from two different engines, and no conclusion may be written until both columns are filled in. This method is a working proposal from RankAI, not a universal standard. It exists to avoid the most common mistake: reading a result from an AI engine and treating it as if it were the Google reading, or the other way round. The two columns make the boundary between observation and interpretation visible, and they force you to state which engine each piece of information comes from. If a column stays empty, that is not a missing data point to be filled with an inference: it is an observation you have not made yet.
A verifiable limit
The FAQ lets you read the observations of the named engines and compare them with Google AI, but it does not tell you whether a page will rank, nor does it guarantee that a favourable reading by an AI engine will turn into a result on Google. An API response is not a person's screen: do not confuse the two when you interpret what you read.
For the full set of questions and answers, see the in-depth page.
RankAI FAQ: what an AI engine reads vs. what it reports
RankAI FAQ: why ChatGPT and Google read the same page differently