Google's AI Overviews — the generative-AI answer boxes that sit above the traditional blue-link results — have been observed inserting random, nonsensical words into responses, according to user-shared screenshots republished by The Cool Down this week.

The outlet's headline, "Google's AI Overview butchers response by inserting words randomly, baffling users," captures the pattern: users report seeing coherent answers interrupted by stray tokens, repeated syllables or made-up phrases that have no relationship to the query. The Cool Down did not publish a sample size, a date range, or a Google comment; the report functions as an aggregation of user-submitted examples rather than a quantified study.

What does the source actually confirm?

• Confirmed by the source: the existence of a visible defect in screenshots; user confusion in social posts the outlet surfaced.
• Not confirmed by the source: the frequency of the bug, the query categories most affected, whether Google has acknowledged the issue, and whether a fix is in progress.

That distinction matters for search marketers. Search Engine Roundtable and Search Engine Land routinely separate "Google said" from "tools say" from "users say." This report falls into the third bucket.

How does the insertion bug manifest?

Based on the user examples The Cool Down aggregated, the failures cluster into a few patterns: mid-sentence word swaps, hallucinated proper nouns inserted between factual clauses, and duplicate fragments that re-state part of the answer in one malformed phrase. None of these patterns is new to large language models — they sit inside the family of token-level glitches that occur when a decoder misfires — but they are new to the surface Google ships in front of logged-in users.

Which queries and verticals are most exposed?

Without query-level data from the source, the verticals most at risk are the categories AI Overviews already handles most confidently: health symptoms, how-to instructions, software troubleshooting and product comparisons. These are exactly the areas where one inserted word — say, a drug name where none belongs — can change a reader's decision. Local-intent queries ("plumber near me," store hours) are less exposed because AI Overviews defer to Maps and GBP (Google Business Profile, the free listing tool merchants manage) widgets for those.

Why does this matter to SEOs and publishers?

AI Overviews already reduced click-through to source pages in tests Google published in 2024 — though those were aggregate figures, not the specific bug behavior covered here. A garbled Overview does more damage than a missing one: it can still suppress the organic result beneath it, while delivering an answer the reader can't trust. Publishers whose traffic depends on being cited inside the Overview box face a different risk surface than publishers whose traffic depends on the link below it.

What should readers monitor next?

• A Google communications response or a Search Central (Google's publisher and developer documentation hub) thread acknowledging the token-glitch class of error.
• A search-status dashboard entry or a known-issues post in the Google Search Central Help Community.
• Independent replication at scale — a Sistrix, Semrush or Similarweb dataset showing whether Overview impressions dipped during the affected window.
• Any change to the "Generate more" refinement or the "Show sources" affordance, both of which would let users route around a bad Overview.

The Cool Down's report is observational, not statistical. Until Google comments or a tool vendor publishes affected-query counts, treat the insertion bug as a known user-experience defect with unmeasured reach — and budget your AI-Overview monitoring accordingly.