How it works
How Parallel AI works for Google Ads
Bring the account, the brief, and the outcome you need. Parallel connects investigation, research, creative, campaign work, and deliverables in one conversation.
A Google Ads job rarely fits inside one report. You investigate a change, discover a different problem, work through the options, and explain the recommendation to someone else. If a change is worth making, there is still the work of preparing it, reviewing it, and checking the result.
Parallel is designed for that whole sequence. You can give the agent a substantial piece of account work, steer it as the evidence develops, and keep the analysis, documents, sheets, and proposed changes together.
Here are three ways to put that to work: investigating rising spend, preparing a campaign launch, and deciding where next quarter’s budget should go. Each starts with a request you could bring to your own account.
Begin with the job, not the tool
“Non-brand Search spend is up this month and leads are flat. Work out why, put the options in a sheet, and don’t change anything yet.”
This brief gives Parallel something concrete to accomplish. It identifies the part of the account, the change you care about, and the output you need. The agent can investigate rather than waiting for you to name each report or write a sequence of instructions.
Business context makes the work better. Tell it which conversion action represents a useful lead, whether the offer changed, and whether the sales team has noticed a quality problem. If you have a CRM export or last month’s review, upload it. Those details can change the explanation even when the Google Ads totals look the same.
You can also begin with a built-in workflow, such as a conversion drop diagnosis or search term waste review, then add your context. The workflow gives the agent a starting point; the conversation lets the investigation take a different direction when the evidence calls for it.
Connect the account and the context
Sign in and connect a Google Ads account you are authorized to use. Through a manager account, you can choose an accessible client account for the job. In a team workspace, an administrator controls the available connected accounts. Keep the intended account clear when moving between clients.
Parallel reads the selected account through its Google Ads tools. You can supplement that with documents, PDFs, images, spreadsheets, and other supported files in chat. A launch brief explains the business goal; an account report shows what happened; a sales export may explain what happened after the conversion.
These sources complement each other. If an uploaded report describes an earlier month, it is useful history. The agent still needs current account data for a claim about what is happening now.
Find where the extra spend went
For the rising-spend question, the work is to narrow the explanation until you can make a sensible decision. Several checks can change the answer:
The agent can follow a promising explanation more deeply and set aside one the data does not support. You can ask it to compare a different period, inspect a particular campaign, or explain why it thinks one cause is more likely than another.
Locate the movement
Compare campaigns and ad groups over meaningful periods. Is the increase broad, or concentrated in one part of the account? Look at spend alongside clicks, conversions, conversion rate, and cost per result, rather than treating the account total as the whole story.
Examine the traffic
Review the search terms carrying the increase, their intent, and the keywords and match types behind them. A commercially relevant query with recent spend and no reported lead is different from a clearly irrelevant query. Conversion timing and the amount of evidence affect the conclusion.
Connect it to changes
Check the change history for bidding, budget, targeting, or keyword edits around the same time. Break the performance down further by device, location, or other relevant segments when that could explain the shift.
Check what “leads” means
Inspect the relevant conversion actions, their role in bidding, and the available measurement evidence. If the business is judging qualified leads from a CRM while the campaign optimizes to a broader action, that mismatch belongs in the investigation.
Turn the investigation into options
Ask for a short explanation and a sheet bringing together the affected campaigns, spend movements, query examples, relevant account changes, and possible actions. That makes the recommendation easier to inspect than a paragraph containing several different claims.
Suppose the evidence points to a mixture of irrelevant queries and useful demand that has become more expensive. Those call for different responses. One may justify negatives; the other may call for a bid-strategy review, a budget decision, or a test. A useful account review keeps those distinctions visible.
You can then work through the tradeoffs: “Keep the relevant traffic. Show me the queries you would exclude, explain each match type, and estimate what spend they accounted for in the period.” The agent can refine the sheet and proposal from the same investigation.
If the data is too thin to settle the cause, ask what would change the decision. That might be a sales export, a longer comparison period, or a check of conversion timing. You can gather that evidence and continue the investigation instead of forcing a recommendation from an incomplete picture.
Move from a recommendation to an approved change
When you decide to act, the analysis becomes the context for a specific proposal. For the negative-keyword example, the sequence is straightforward:
Prepare the exact proposal
Ask Parallel to prepare negatives for the queries you want to exclude. It identifies the account, campaigns or lists, negative keywords, and match types. You can review the proposed scope alongside the reasoning.
Review before anything runs
Check the affected items and the intended change in the approval card. If the scope needs adjusting, decline or request a revised proposal. The recommendation and the account change are separate decisions.
Approve that change
Approval authorizes the specific proposal you reviewed. Reading reports, researching, and drafting did not need an approval card; sending the change to Google Ads does.
Check the outcome
Parallel executes the approved work and checks the result. Confirmed changes, unsuccessful changes, and outcomes still being checked are distinguished. The outcome stays with the conversation, where you can ask for an account log or client update. Supported bulk jobs can continue in the background after approval, with progress and results retained.
Use the same workspace to build a campaign
“Prepare a Search campaign for our new service. Use the attached brief, learn from the existing account, and show me the structure and copy before we launch.”
This starts as planning work. The agent can use the brief to understand the offer, target customer, service area, and conversion goal, then examine relevant campaigns and search terms for lessons. Keyword research can help develop the themes and identify gaps. Existing account evidence gives the plan a starting point more useful than a generic list of keywords.
The output can be a launch brief and a sheet of proposed ad groups, keywords, and copy. Ask for the reasoning behind the structure. Refine a headline that does not fit the offer, tighten the geographic scope, or separate two themes that deserve different landing pages.
Parallel can then prepare a supported Search build with the campaign, budget, ad groups, responsive search ads, and keywords. Related assets and settings are handled through the appropriate proposals. You review the account-changing work before it runs.
Keep launch preparation and launch readiness distinct. Missing landing-page information, an unclear conversion goal, or creative that is not approved can still be outstanding work. The result should tell you what was created, what remains to be done, and what you are choosing to activate.
Adapt the work to Performance Max and Demand Gen
A Performance Max rollout needs its own plan. Ask Parallel to review the existing account, propose asset-group themes, identify available text, image, and video assets, and work through audience signals and relevant exclusions. For retail, the product feed and listing group structure also matter.
The campaign shell is one part of that build. Asset groups, their required assets, the applicable settings, measurement prerequisites, and activation have to be addressed before treating the rollout as complete. Parallel can help prepare the work and carry out supported approved changes in stages, while keeping the remaining dependencies visible.
For a Demand Gen launch, bring the offer, product images, and an existing YouTube video into chat. Ask which creative fits each audience, then develop an image-ad proposal, a carousel, or a video ad. Parallel can work through the campaign and ad group setup, eligible assets, audience associations, and ad proposals. You can refine the offer and creative in the same conversation as the account setup.
If you need more creative options, ask for generated image concepts before preparing account assets. Review the direction, refine the brief, and choose which images belong in the campaign.
If the task is an audit rather than a build, start there instead. Review Performance Max asset-group performance and creative coverage, or investigate Shopping product issues and feed disapprovals, then decide what deserves a change.
Work through the decision before moving budget
Another job might begin with a budget question: “We have more to spend next quarter. Compare where it could go, with an upside and downside case.” Parallel can examine recent performance, current budget pressure, bidding behavior, and the account’s constraints, then put the options into a planning sheet.
You can ask it to show the assumptions and revisit them. What changes if conversion rate is weaker than expected? Which campaigns are limited by budget, and which need a better offer or more relevant traffic? The useful output is a recommendation you can discuss, not a single forecast presented as certainty.
Research can broaden that decision. Ask for the competitive landscape, seasonality, or current Google Ads guidance relevant to the plan. Provide the commercial constraints that the account cannot reveal, such as inventory, sales capacity, margins, or a launch date.
If you need a test rather than an allocation change, ask for an experiment brief. Parallel can help define the question, the comparison, the success measure, and the evidence needed to make a decision. Available experiment results can later inform the review, with statistical results distinguished from a simple campaign comparison.
Produce the version the next person needs
Once the account work is clear, ask for the deliverable that fits the audience. An operator may need the detailed findings and next actions. A client may need the explanation, the business impact, and the decisions you are asking them to make. A budget owner may need the options and the assumptions behind each one.
Parallel can turn the work into a document in Docs or an editable spreadsheet in Sheets. For a monthly review, bring in the previous report, compare it with the current account, and ask for the story behind the change. Keep detailed tables in the sheet and the interpretation in the document.
You can revise both in conversation: shorten the opening, add the context from the sales team, explain why a recommendation changed, or separate completed work from the next proposal. Edit and download the result for the meeting or handoff.
This is where keeping the work together pays off. You are developing a report from the investigation and decisions already made, rather than assembling an explanation from disconnected exports and copied chat messages.
Return to the result and keep going
The job does not have to end with the first answer or approved change. Return to the conversation and ask for a follow-up review, another scenario, or the next part of the launch. Previous analysis and deliverables provide context; fresh account reads establish what is true now.
For the Search investigation, return after the negatives have had time to affect traffic: “Compare the period since our change with the original review. What moved, and what is still too early to judge?” Then ask for a client update covering the finding, the change, and what you will watch next. The earlier sheet provides the starting point; the new account evidence determines the conclusion.
For a larger rollout, continue with the remaining assets, settings, or documentation. Supported background jobs retain progress and outcomes so you can understand where the work stands. You can bring that status into the launch brief instead of maintaining a separate account of what happened.
You initiate the next piece of work. This is a way to carry a substantial task across several steps and sessions, not an unattended schedule that makes account decisions without you.
Questions and answers
What makes a good first request?
Choose work you already understand well enough to review: an account investigation, a pacing check, a campaign brief, or a client report. Name the account, explain the goal, and say what output you need. Add files and business context where they help.
Can I ask for analysis without any account changes?
Yes. Research, reports, planning, and drafting can be complete jobs on their own. You do not need to authorize an account change to get useful work out of Parallel.
Can I change the brief halfway through?
Yes. Narrow the scope, change the comparison period, question an assumption, or ask for a different output. If an account-change proposal needs revision, the revised proposal is reviewed before it runs.
What if the job needs information outside Google Ads?
You can upload supporting files and ask for research. Parallel can combine those with account data, while making clear when a conclusion depends on missing business information or an outside system it has not checked.
What determines account capacity and usage?
Your plan sets connected-account capacity, seats, model access, and daily allowances. The pricing comparison shows those differences and the capabilities included across plans.