Every platform audited. Not a dollar wasted.
Google, Meta, LinkedIn, TikTok, Microsoft, YouTube — nine specialist entities audit tracking, spend, creative, and compliance in parallel, merged into one plan: Critical to Medium.
Request AccessEvery platform, one turn
Google, YouTube, Meta, LinkedIn, TikTok, Microsoft — nine specialist entities dispatched in parallel, each auditing its own dimension.
Wasted spend, found
Search terms burning budget with zero conversions, duplicate conversions inflating ROAS, broad matches leaking — named with the dollar amount.
Tracking verified first
Pixel health, CAPI coverage, and event match quality audited before anything else. Without trustworthy tracking, every other number is noise.
Creative fatigue watched
Frequency climbing while CTR falls gets flagged per ad, with a refresh recommendation before performance craters.
Negatives mined by N-gram
Search term reports sliced into N-grams — patterns like "free", "jobs", "diy" surface as shared negative lists, ready to apply.
Experiments with rigor
A/B tests designed with sample sizes and significance thresholds up front. Results aren’t called until they clear the bar.
- ✓LinkedIn · TikTok · Microsoft covered in cross-platform passes — budget, creative, tracking, compliance
- ✓Ad policy and privacy compliance checked per platform
- ✓Budget allocation and learning-phase health across accounts
- ✓Quality loop — every specialist reports PASS or ⚠︎ BLOCKED in a status table, never silence
- ✓Executive summaries generated C-suite-ready from the findings
- ✓Every recommendation ships with expected impact and effort
One message.
Every account audited.
Ask for the audit and watch the specialists land their findings in the thread — including the honest ones: a blocked export gets retried and reported, never skipped in silence.
spawn: audit-google74 checks · $1.2k wastedspawn: audit-metaPixel EMQ 6.2spawn: audit-trackingCAPI missing on 2spawn: search-query-analyst312 negatives minedspawn: audit-creativefatigue scan…spawn: audit-budgetLinkedIn export · retry 2/3Where the budget leaks,
to the dollar.
Seventy-four checks across conversion tracking, wasted spend, Quality Score, PMax, and account structure — every finding tied to the search terms and dollars behind it.
The wasted spend is already there. Find it this week.
First audit: every platform, one plan.
Request AccessFatigue caught
before the CTR craters.
Pixel and CAPI health scored, frequency and CTR trends watched per creative, Advantage+ and audience overlap verified — the ad that needs a refresh gets named, not guessed.
Your search terms,
sliced into signal.
N-gram analysis turns thousands of raw queries into patterns: what converts gets bid up, what burns gets a shared negative list — exported to Google and Microsoft, ready to apply.
Decisions from significance,
not from noise.
Creative, bidding, audience, and landing page tests designed with sample sizes up front and called only when the numbers clear the threshold. No peeking, no false winners.
Straight answers
Which platforms does it cover?
Google Ads and YouTube, Meta (Facebook/Instagram), LinkedIn, TikTok, and Microsoft Ads. Google and Meta get dedicated specialist entities; LinkedIn, TikTok, and Microsoft are covered by cross-platform passes for budget, creative, tracking, and compliance.
Does it launch campaigns or just audit?
Both directions: audits and optimization plans arrive prioritized, and the strategist entity builds campaign and media plans. Anything that changes a live account sits behind your approval gate.
How are findings prioritized?
Critical → High → Medium, always with expected impact and effort attached. Cross-platform synthesis catches what single-platform views miss — like budget concentrated on a platform with broken tracking.
What happens if a platform export fails?
The quality loop retries up to three times with corrective feedback. If it still fails, that specialist is marked BLOCKED in the status table with the reason — never silently skipped.
How are experiments validated?
Sample size and significance thresholds are set before the test starts, and results aren’t called until they’re met. The experiment tracker exists precisely to stop decisions based on noise.
Isn’t auditing six platforms expensive to run?
Not the way entities do it. Exports, N-gram slicing, and metric crunching run in plain code — specialists spend tokens on judgment, not on reading raw search term reports. A fraction of what a browser agent burns clicking through the same accounts.
Stop Prompting.
Start Orchestrating.
Tell us about your operation. We'll walk you through the platform, agree on pricing, and hand you the keys to your own dedicated instance.