Numbers come from the source
Charts and tables use values returned by GA4, Google Ads, Meta, Search Console, and other connected platforms. The language model does not invent the values displayed in them.
The AI marketing workspace
Your AI marketing team, briefed on your business.
An analyst, a copywriter, a dashboard builder, an SEO strategist, a UX reviewer, and a planner. Ask Odaq in one conversation, in the app or Microsoft Teams, with your business context and live data behind it.
Connects to
Google AnalyticsGoogle AdsMetaSearch ConsoleGoogle Tag ManagerGitHubMicrosoft Teams
Your team, right now6 agents active
Insightexplaining Tuesday’s conversion dip, with citations
Canvasbuilding the blended ROAS dashboard
Scribedrafting Meta ads for “Busy Parents” in 3 languages
SEOtracking 42 keywords across 3 markets
UXpinning 3 conversion issues on the pricing page
Planner2 proposals waiting for your approval
One conversation with Odaq
Ask Odaq. It brings in the right specialist.
Start with the work you need done. Odaq brings in Insight, Scribe, SEO, UX, or Planner, and carries relevant context into the conversation. Open Canvas when it’s time to build a dashboard.
Ask in your own language, attach a brief or image in the app, and follow up on the answer. Your project knowledge travels with the work.
What should we focus on before the summer campaign launches?
Odaq
I’ll bring in Insight to review your campaign data against this client’s lead-quality goal.
Insight is reviewing the campaign
Help me turn the findings into a campaign brief.
Odaq · with Scribe
Scribe can pick up the findings and your project context, so you can build on the same brief.
A brief that grows with you
Brief Odaq once. Build understanding over time.
Odaq remembers useful business facts and how you like to work. Shared project memory helps the team, while personal preferences stay private to you. Your brand voice, personas, documents, and timeline give each answer a richer starting point.
Project memoryBusiness facts the team can build on
Personal memoryYour working preferences, private to you
Your business contextBrand voice, personas, documents, and timeline events
You stay in controlReview and remove memories; edit project facts
For this client, lead quality matters more than volume. Keep my summaries short.
Project memory
Prioritize qualified leads when reviewing this client’s campaigns.
Saved by Odaq · available to the project teamPersonal memory
You prefer concise summaries.
Your preference · private to youOdaq + Microsoft Teams
Your marketing team, right in Teams.
Bring Odaq into a channel, a group chat, or your personal conversation. Ask about a campaign, get supporting figures, and keep the team discussion moving.
Odaq uses the relevant project and your existing access. When the next step is a task, review the proposed Planner changes in Odaq before applying them. Available on every plan.
@Odaq How did our lead campaigns do this week?
Odaq · with Insight
Search brought in fewer leads, but a higher share met your qualification target. Here’s the campaign breakdown.
Google Ads · campaign dataProject context · qualification target
Turn that into a task for the team to review.
Odaq · with Planner
I’ve prepared a task proposal. Open the review in Odaq to choose what to add to your Planner.
Transparent by design
The numbers come from your data. Odaq turns them into answers.
Odaq agents plan the investigation, fetch the required data through connected APIs, and apply visible filters, formulas, joins, and transformations. Once the results are returned, the agent interprets the evidence and explains what it means.
You receive a useful answer, not just a data dump, while keeping the ability to inspect every number behind it.
See how Odaq handles your data- Question
- AI plan
- API datasets
- Visible recipe
- Verified results
- AI interpretation
- Answer or export
Visible recipe Verified
How the result was built
- Source
- Google Ads and GA4
- Date range
- Last 90 days
- Filter
- Campaign status equals Active
- Join
- Campaign ID
- Formula
- ROAS equals Revenue divided by Spend
- Sort
- ROAS descending
AI interpretation2 sources
What the evidence means
Spend increased, but most of the additional budget went to campaigns with declining conversion rates. Three campaigns account for 71% of the efficiency loss.
Google Ads · spendGA4 · revenue
Inspect the supporting data Odaq interprets the findings
The agent connects patterns across returned datasets, highlights meaningful changes, and turns the evidence into a clear answer or recommendation.
Every transformation is visible
Inspect which datasets were fetched and how they were filtered, sorted, joined, merged, or calculated.
Take the supporting view with you
From the table view, download the displayed rows and visible columns as Excel or CSV. Active grouping is reflected in the file.
The team
Six specialists. Your business in view.
Each agent owns a marketing function. They share your context, hand work to each other, and file everything through one backlog.
InsightThe analyst
Ask questions over your live GA4, Ads, Meta, and Search Console data. Every claim cites the dataset behind it.
ExploreCanvasThe dashboard builder
Describe the chart you want. Canvas blends platforms, computes columns like ROAS, and replays every build against live sources.
ExploreScribeThe copywriter
Persona-targeted copy in 28 languages, informed by your products and learnings from deployed ads. Refine and translate selected drafts together.
ExploreSEOThe strategist
Crawls your site, tracks rankings across five markets, checks your schema graph, and files prioritized fixes.
ExploreUXThe reviewer
Captures the pages you send traffic to on mobile and desktop, then pins each conversion issue to the element causing it.
ExplorePlannerThe backlog
Ask Odaq about tasks, review proposed changes, and assign the team. Carry briefs into Scribe and request verification when you need it.
ExploreOne shared context layer
Brand voice, personas, timeline events, and file knowledge, read by all six.
From insight to shipped
Most tools stop at advice. Odaq closes the loop.
Recommendations become tasks, tasks become GitHub issues, and nothing gets marked done until an agent has checked the live result.
01
Agents propose
Insight and the SEO agent turn findings into recommendations, ranked by impact and effort. Nothing enters the backlog without your approval.
02
You approve
Review each proposal with its evidence. Accept it into the backlog, or dismiss it. You stay the editor-in-chief.
03
Team executes
Assign colleagues on a shared board, take a task’s brief into Scribe, or send developer work to GitHub. Ask Odaq to prepare task updates for your review.
04
Agents verify
When you request verification, agents check the live result: pages, campaign copy, or GTM tags. You can also mark a task complete yourself.
Proposed
SEOFix duplicate title tags
InsightShift budget to Search
In progress
ScribeQ3 ad copy refresh (3 personas)
On GitHub
#214Add JSON-LD to /pricingVerified done
Pause weekend campaigns
Focus your marketing.
One conversation, growing understanding, and a team ready for the next step.
Request early access