
Spend goes to the wrong searches
Broad match terms, missing exclusions and weak search term reviews can send budget into irrelevant clicks before anyone spots the pattern.
Wilmot AI reviews the account details that decide whether money is being spent well: conversion tracking, search terms, wasted spend, negative keywords, campaign structure, ad copy, bidding and reporting.
Small accounts can look active while budget is leaking through vague keywords, poor tracking and campaign settings that have not been reviewed properly.

Broad match terms, missing exclusions and weak search term reviews can send budget into irrelevant clicks before anyone spots the pattern.

Duplicated goals, soft actions and consent issues can make campaigns optimise towards noise instead of enquiries, sales or qualified leads.

Search, PMax and Shopping campaigns need routine checks. Without them, assets, budgets, bidding and landing pages slowly fall out of line.
The first pass is deliberately practical. Wilmot AI checks the account foundations, identifies wasted spend and turns the findings into a clear order of work.
Checks primary goals, duplicates, imported events, consent behaviour and whether the account is optimising for meaningful actions.
Finds irrelevant queries, expensive patterns, useful new keyword ideas and terms that need closer segmentation.
Reviews spend by query, campaign, location, device, asset group and landing page to surface budget leakage.
Builds and maintains exclusions so campaigns stop paying for searches that are clearly outside the commercial intent.
Checks whether campaigns, ad groups, assets and budgets are organised in a way that can be measured and improved.
Reviews message match, calls to action, bidding strategy, budget constraints and whether automation has enough clean data.



Different campaign types need different checks, so the agent separates intent, automation, product data and measurement quality.
Reviews keywords, match types, ads, extensions, search terms, quality signals and landing page fit so spend is tied to intent.
Checks asset groups, audience signals, brand controls, final URL behaviour, exclusions and whether results are hiding channel-level issues.
Looks at product feed quality, titles, categorisation, diagnostics, budget splits and the relationship between Shopping and PMax.
Confirms which actions matter, whether values are useful, and how analytics, forms, calls and imported conversions line up.
Owners should not need to decode Google Ads jargon. Experienced marketers still need enough evidence to trust the recommendation.
£412 spent on searches that do not match the service area. Add exclusions and tighten location targeting before raising budget.
Query waste appears in broad match ad group with poor term controls. Review match types, negatives, location report and bidding constraints.
Apply the negative keyword list, check conversion import quality, then review search term data again after the next spend cycle.
This is the kind of practical output Wilmot AI produces: concise evidence, the risk, and the recommended change.
Contact form submit and thank-you page view are both marked as primary conversions. Risk: duplicate lead counts. Action: keep form submit primary, set thank-you page view to secondary.
£186.40 spent on recruitment, template and free guide queries. Risk: non-commercial traffic. Action: add exact negatives and review broad match terms weekly.
Final URL expansion is sending traffic to low-intent blog content. Risk: weak conversion path. Action: restrict URLs to commercial service and category pages.
Two active ads do not mention location, service speed or proof. Risk: weak click quality. Action: test copy with service, location and outcome-led CTA.
The fee covers Wilmot AI audit work, optimisation recommendations, approved account improvements and reporting. Google media spend is separate and remains paid directly to Google.
Use the audit first, then compare pricing, the operating model and the combined bundle.
Answers on the first audit, campaign types, reporting style and monthly pricing.
It starts with conversion tracking, search terms, wasted spend, negative keywords, campaign structure, ad copy and bidding so recommendations are based on account evidence.
Yes. Wilmot AI reviews each campaign type differently, with Search focused on intent, PMax focused on automation guardrails and Shopping focused on product feed quality.
Yes. The report explains the issue in plain English, then includes enough technical context for an experienced marketer to review the recommendation.
No. The £299/month fee covers the Google Ads Agent service. Media spend is paid separately by you to Google.
Send your website and the channels you care about. Wilmot AI will review the evidence and return a practical first action list.
No obligation. The audit checks your website, Google Ads, SEO foundations, tracking and next opportunities.
Use pricing and contact if you want to check scope, commitment or the best module before starting.