How much of your search budget is bleeding into irrelevant queries?

Google's close-variant matching and Broad Match expansion interpret keyword intent semantically, so your ads are eligible for queries that share meaning, synonyms, or inferred topic — not just exact wording. This is intentional: Google's auction revenue grows when more queries match more advertisers, so 'related' is defined very generously. The practical consequence is that a B2B SaaS keyword like 'project management software' can trigger ads for 'excel project tracker template' or 'asana vs trello' — queries that rarely convert at your target CPA. The Search Query Bleed Audit measures how far each of your keywords has drifted from its original intent and quantifies the cost of that drift.

You cannot disable close variants in Exact match since Google removed that control in 2018, so the mitigation is additive rather than preventive: maintain aggressive negative keyword lists, review your Search Terms report weekly for drift, and use ad group-level negatives to prevent cross-contamination between tightly-scoped ad groups. Practitioners running 25,000+ negatives on exact-match-only campaigns still report irrelevant queries slipping through, which indicates this is now a managed-waste problem rather than a solvable one. The Search Query Bleed Audit identifies which of your Exact match keywords are triggering the most off-target variants and ranks them by the cost of that expansion.

Three levers: add aggressive campaign-level and shared list negative keywords for every irrelevant theme you see in the Search Terms report, tighten Smart Bidding's CPA or ROAS target so Google only chases high-confidence matches, and demote or pause any Broad keyword whose expansion-query CPA exceeds 2x its exact/phrase counterpart. Broad match will never be tight — the design assumes you feed negatives faster than it expands. The Search Query Bleed Audit calculates each Broad keyword's expansion rate (unique queries triggered per keyword) and Broad-vs-Exact CPA ratio, so you know which keywords are genuinely discovering value and which are pure leakage.

It can convert — but only when three conditions hold: the campaign generates 30+ conversions per month so Smart Bidding has signal, the account has disciplined negative keyword hygiene, and the target CPA/ROAS is tight enough to suppress exploratory bids. Outside those conditions, Broad Match functions primarily as a research tool for discovering new converting queries, which you should then promote to Exact or Phrase match in a separate ad group. Running Broad as your primary match type without all three conditions is what drives the 20–40% waste rate practitioners report. The Search Query Bleed Audit tells you specifically whether Broad is discovering value or destroying it in your account.

If your Broad keywords have an AI-Expanded CPA more than 2x your Human-Controlled CPA, yes — switch the worst offenders to Phrase match and observe over 14 days. Phrase match still expands (it respects close variants too) but with a much tighter semantic boundary, typically reducing waste by 30–50% while preserving 70–90% of conversion volume. Don't do a blanket switch; Broad keywords that are actually converting well should stay as Broad so Smart Bidding retains discovery capacity. The Search Query Bleed Audit identifies which specific Broad keywords are the best switch candidates based on their expansion rate and CPA delta.

Google suppresses search terms with very low volume for user privacy, reporting them in aggregate under 'Other'. In most accounts, 'Other' accounts for 20–40% of search-term clicks; in high-volume accounts or sensitive verticals it can exceed 60%. This means you cannot audit a meaningful share of the queries your budget is funding. The Search Query Bleed Audit quantifies your unseen-query share, estimates the leakage within it using the conversion rate of your visible terms, and identifies which campaigns have the worst visibility gap.

In most accounts running Broad Match with Smart Bidding, 50–70% of Broad spend goes to queries with zero attributed conversions — but this sits hidden inside a blended campaign CPA that looks acceptable because the 30–50% that does convert covers for the waste. The waste is only visible when you split CPA by match type: Exact and Phrase typically land at or below target, while Broad lands 2–4x above. The Search Query Bleed Audit calculates Human-Controlled CPA (Exact + Phrase) versus AI-Expanded CPA (Broad + close variant) side by side for every campaign.

Human-Controlled CPA is the cost per conversion from queries that closely match keywords you deliberately chose — Exact match terms and Phrase match terms where the core phrase is intact. AI-Expanded CPA is the cost per conversion from queries the algorithm added via Broad expansion, close variant matching, or semantic inference. In well-functioning accounts they are within 20% of each other; in leaky accounts AI-Expanded CPA runs 2–4x higher, meaning you are paying significantly more per conversion for traffic you did not choose. The Search Query Bleed Audit calculates both side by side and flags campaigns where the ratio exceeds 2x as candidates for match-type tightening.

Work in themes, not individual terms — instead of adding 'free plumber london' as a negative, add 'free' as an exact match negative if your product has no free tier, and 'london' as a campaign-level negative if you don't serve London. Theme-level negatives compound: a well-scoped 50-negative list often outperforms a reactive 500-negative list. Avoid adding single-word negatives as Phrase match unless you've checked they won't block your converting long-tail queries (run a collision check first). The Search Query Bleed Audit groups your leaking queries into themes and produces theme-level negative recommendations rather than term-by-term, so you cut bleed at the source.

In the Search Terms report, set your match type filter to Exact and then compare each shown query against the keyword that triggered it — any divergence is a close variant. Queries that differ by pluralisation, word order, function word insertion ('for', 'to', 'of'), or semantic synonym are all close variants. Google does not flag them as such in the UI, so the audit has to be done by visual comparison or script. The Search Query Bleed Audit automates this — it flags every query where the triggered keyword differs from the actual search term and aggregates the close-variant cost per keyword.

Add ad-group-level negative keywords that exclude the keywords owned by every other ad group in the campaign — for example, if Ad Group A targets 'running shoes' and Ad Group B targets 'hiking boots', add 'hiking' and 'boots' as negatives in A and 'running' and 'shoes' as negatives in B. Without this, Google routes queries to whichever ad group it judges most profitable, which typically concentrates spend in one ad group while starving the others. This matters most for accounts with tightly-themed ad groups where attribution purity affects Smart Bidding. The Search Query Bleed Audit maps cross-ad-group leakage and produces a per-ad-group negative list to restore routing discipline.

Run a weekly n-gram analysis on your Search Terms report — break every triggered query into 1-word, 2-word, and 3-word components and calculate cost and conversion rate per n-gram. Overly broad queries typically cluster into a small number of n-grams that drive most of the waste (often 10–15 n-grams account for 60–80% of bleed). Exclude those n-grams as theme-level negatives. The Search Query Bleed Audit pre-computes this n-gram analysis for your account and surfaces the highest-cost low-conversion n-grams ready to add to your shared negative lists.