Can AI search overviews be manipulated?

NAVIRANG'S READING — NOT THE PAPER'S CONCLUSION

What stayed with us after reading was not the headline claim but a line underneath it. The central claim — that manipulation works — rests on thin evidence: a single author, 14 pages, and only the statement that it "succeeded in most cases", with no success rate and no sample size given as numbers. There is not even a limitations section, so we cannot tell what the author himself thinks he failed to do. We therefore do not carry this paper's conclusion forward as fact. What did catch our eye was the observation that **selection depends on relative comparison between candidates rather than absolute quality**. That property holds whether or not anyone is manipulating anything, and it transfers straight into practice — your document can stay untouched, word for word, and still lose or gain a citation because a competing document changed. That is why finishing after one measurement is not an option. Measuring repeatedly under the same conditions is not diligence; it is that the value moves outside our hands. We will also record the part that was uncomfortable to read. If what this paper shows is right, rank manipulation is something one could do. That Navirang does not build automated repeat searching or self-result clicking is a choice rather than a limit, and the reason is that it is abuse. For the same reason we have not reproduced the manipulation procedure in this summary — a paper summary must not become a set of instructions.