Meet Parallel
What is Parallel AI?
An AI agent platform built for Google Ads professionals. Investigate performance, build campaigns, work with creative, and turn the results into decisions and deliverables.
Running Google Ads means doing far more than managing campaigns. There is the investigation behind a budget decision, the research before a launch, the spreadsheet that makes the options clear, and the report that explains it all to a client. That work is connected, even when the tools you use to do it are not.
Parallel brings it into one workspace. Connect your Google Ads account and give the agent a job: find what changed, prepare the next campaign, review the creative, or write the monthly account review. It can work with your account data, research the questions around it, create documents and spreadsheets, and carry out supported account changes after you approve them.
You can begin with a question about Search performance and finish with a negative keyword proposal, a budget scenario, and a client-ready explanation. You do not have to turn each part into a separate project.
An agent you can give real account work
Parallel is built around the jobs a Google Ads professional needs to finish. Review the search terms before the weekly call. Investigate a cost spike. Find out whether a campaign needs more budget or better traffic. Prepare a launch from a brief. Bring the evidence together and recommend what to do next.
Those requests rarely end at the first report. A conversion drop might lead into change history, conversion-action settings, device performance, and a recent landing-page change. A launch might need keyword research, ad copy, assets, and a budget decision. The agent can use different capabilities as the work develops, with the conversation giving you a way to steer it.
Built-in workflows give you useful starting points for account audits, pacing checks, bid-strategy reviews, campaign planning, and business reviews. You can also start with your own question. The point is to describe the outcome you need in the language you already use at work.
Understand what changed and what deserves attention
A performance summary tells you that cost per lead rose. An investigation asks where it rose, when it started, what changed, and which explanation fits the evidence. Parallel can compare campaigns, ad groups, keywords, search terms, devices, locations, and time periods to narrow the problem.
For example, ask why non-brand Search is spending more without delivering more leads. The relevant work may include checking query intent, recent bidding and budget changes, conversion timing, and whether the increase is concentrated in one campaign. You get a basis for deciding whether to exclude irrelevant traffic, revisit a bidding target, or leave a healthy campaign alone.
Measurement deserves its own attention. Parallel can inspect Google Ads conversion-action settings and available diagnostics, including which actions feed bidding. If the question depends on a CRM export, site behavior, or an import problem outside those reads, you can bring that evidence into the investigation. A configured conversion action alone does not establish that every lead reached the account correctly.
Build and improve campaigns in their own terms
Search, Performance Max, Demand Gen, and Shopping have different structures and different work behind a successful launch. Parallel has tools for those differences, from campaign setup to ongoing analysis.
Search: from a brief to a campaign build
Use existing account performance and keyword research to develop the structure, ad groups, responsive search ads, and keywords for a new campaign. Parallel can prepare campaign builds for approval, then work on the details that keep Search useful: negative keywords and shared lists, ad copy, sitelinks and other assets, budgets, bidding, schedules, and targeting. After launch, review search terms, ad performance, and Quality Score to decide what needs attention. A search term review can become a specific change instead of ending as a list you have to rebuild manually.
Performance Max: work below the campaign total
Investigate asset-group performance, creative coverage, audience signals, channel results, and available search insights. For a rollout, plan and build the campaign setup, asset groups, assets, and relevant controls in the right order. Parallel supports work on listing group filters, brand and URL exclusions, budgets, and campaign status. It distinguishes a campaign shell from the assets, feed inputs, measurement, and activation needed for a usable launch. Retail and specialized campaign types need their own setup and eligibility review.
Demand Gen: connect the campaign to the creative
Prepare campaigns and ad groups, then build image, carousel, or video ads from eligible assets. Work with the audiences attached to those ad groups and review the ads and their status. The creative brief, image assets, existing YouTube videos, and campaign context can all inform the same piece of work. That makes it possible to move from an offer to an ad proposal without treating creative and account setup as unrelated tasks.
Shopping: connect product issues to account performance
Work with Standard Shopping campaigns, ad groups, product ads, and product groups. Review performance by product, brand, or category and inspect available Merchant Center diagnostics for disapprovals and feed issues. This helps separate a bidding or budget problem from products that cannot serve or have incomplete information. The analysis can produce a prioritized brief for the person fixing the feed, alongside proposals for changes to the Google Ads account.
Bring images, video assets, and the brief into chat
Upload the creative you already have and put it in context. Explain the offer, the audience, the landing page, and what the asset needs to communicate. Parallel can analyze the material alongside the account work, rather than making you describe an image in text and recreate the context in another tool.
For Google Ads image assets, JPEG, PNG, and GIF uploads can be prepared for approval. Parallel also supports generating image concepts from a written prompt. You can review a concept before using it as an account asset, keeping the creative decision separate from the decision to put it into an ad.
Creating an image asset adds it to the Google Ads library; attaching it to a campaign, ad group, or Performance Max asset group is a separate change. The distinction is useful when you want to prepare several options before choosing what to run.
Existing YouTube videos can be registered as video assets for supported Demand Gen and Performance Max work. This uses videos you already have on YouTube.
Make budget and bidding decisions with the tradeoffs visible
Ask whether the account is on pace for the month, where additional budget could work, or which campaigns need to hold steady. Parallel can review spend trends, current budgets, bidding behavior, conversion performance, and impression-share constraints to develop an allocation recommendation.
A useful planning question is: “If we increase next month’s budget, where would you put it and what could go wrong?” The answer can become a sheet with a base case, upside and downside scenarios, alternative allocations, and the assumptions behind them. Explore whether cost per click, conversion rate, or average conversion value makes the biggest difference to the forecast. Then change an assumption and compare the result without rebuilding the analysis.
A bid-strategy review connects the strategy and its target to recent account changes and performance. Ask whether the campaign needs a different target, better conversion inputs, or time to settle after a change. The recommendation can include what to change or hold, the tradeoffs, and which results to check afterwards. That is a more useful decision than applying one rule to every campaign.
Parallel can also help plan experiments and interpret available results. Where Google Ads exposes experiment statistics, those can inform the review; ordinary campaign comparisons are kept distinct. You can develop a test brief with the business question, success measure, practical constraints, and decision it is meant to support.
Research with the account in view
Some work begins outside Google Ads: a new product category, a competitor’s offer, a seasonal shift, or a change in Google’s platform. Parallel combines web search and deeper research with the context you provide, so you can connect that research to a campaign, a creative brief, or a budget decision.
Bring a PDF brief, a previous presentation, a Word document, or an Excel or CSV export into the chat. Ask the agent to compare the material with the account, pull out the implications, or work through the numbers. Your business context can explain things that campaign metrics alone cannot, such as a changed sales process, a stock shortage, or a shift in which leads matter.
Account evidence, supplied files, and outside research have different roles. Parallel can bring them into one explanation while identifying what each supports. That is particularly important when the recommendation goes beyond a report and asks the business to spend more, change an offer, or test a new approach.
Finish with work you can use
An answer in chat is useful. A document or spreadsheet you can take into the next meeting is often the real deliverable. Parallel includes a Docs editor and Sheets workspace so the investigation can become something you continue working with.
Use Docs for an account audit, a launch brief, a decision memo, or a monthly client review. Turn a quarter’s account work into an executive summary, or prepare a status update before the weekly call. Ask for a version for the specialist doing the work and a shorter version for the person approving the budget. Refine the explanation, add business context, and download the document when it is ready.
Use Sheets for campaign comparisons, pacing calculations, keyword reviews, and scenario analysis. Keep the numbers, assumptions, and options together in an editable workspace. You can ask the agent to extend the analysis or change the approach as you review it.
The value is the connection between the parts: the research informs the plan, the account data supports the recommendation, and the deliverable explains the decision. You spend less effort moving information between places just to make a coherent piece of work.
Carry the work through, with control where it matters
A substantial job may involve several stages: investigate the account, prepare assets, draft a campaign, review the proposal, execute approved changes, and summarize the outcome. Parallel can work through those stages within the conversation. Supported larger jobs can continue in the background after approval, with their progress and results retained.
Research, analysis, and drafting proceed directly. When the work reaches a Google Ads change, you review the affected account and the specific proposal before it runs. After execution, Parallel checks the result and distinguishes confirmed work from an outcome that is still being checked or could not be confirmed.
That gives you room to delegate the work without making the interface a wall of confirmations. The account-changing decision is explicit, and the investigation around it remains fluid.
Use it at the scale of your day
For an independent specialist, Parallel can help clear the investigation, planning, and reporting work around the accounts you manage. For an in-house team, it can turn performance questions into budget decisions and campaign plans. For an agency, it can support the recurring reviews and deliverables that make a client portfolio demanding.
Connect accounts you are authorized to use, including accessible client accounts through a Google Ads manager account. Your plan sets connected-account capacity, models, and usage allowances. Team workspaces bring members and connected accounts together, with administrator control over access.
Conversations and documents remain personal unless you choose a sharing option. Download a document or sheet for a colleague, or share a chat by link. Shared account access is not the same as making every conversation visible to the team.
Questions and answers
Does Parallel replace Google Ads?
No. Google Ads is where campaigns run and account changes take effect. Parallel gives you another way to do the research, analysis, building, and reporting around those accounts, including supported changes you approve.
Do I need a detailed prompt or a built-in workflow?
Either can be a starting point. A clear job, the relevant account, and the outcome you need are enough to begin. Add business constraints, files, or a date range when they matter, and refine the work in conversation.
Does Parallel run scheduled account changes on its own?
No. You start the work and review account changes. Multi-step work and supported background jobs help complete a task you have initiated; they are not an unattended campaign-management schedule.
Where can I compare plans and limits?
The pricing page compares connected accounts, seats, model access, and daily allowances, alongside the capabilities included across plans.
Is this Google Ads parallel tracking?
No. Parallel AI is the product described here. Google Ads parallel tracking is a separate feature that sends visitors to a landing page while click measurement runs in the background.