New in HireOtto
HireOtto now has a LinkedIn Ads MCP server.
This has been one of the bigger additions to the product so far.
If you run B2B campaigns, you can now connect LinkedIn Ads to an AI assistant such as Claude and use it for much more than pulling a performance report.
The server covers three broad jobs:
understanding what is happening in your account
researching and validating audiences before you launch
preparing and managing campaigns with review-first workflows
And it is available across all current HireOtto plans.
At a glance
Analyze LinkedIn Ads without digging through Campaign Manager
You can pull performance across your LinkedIn Ads account and ask your AI assistant to investigate it with you.
That includes campaigns and creatives, but also some of the data that makes LinkedIn particularly useful for B2B marketers.
For example, you can analyze performance by professional demographics such as:
job seniority
job function
industry
company size
other available LinkedIn demographic breakdowns
So instead of simply asking:
Which campaign has the lowest CPL?
You can ask:
Which job seniorities and company sizes are generating the strongest results, and does that differ between these campaigns?
That gives the AI enough context to help investigate who you are reaching, rather than looking only at campaign-level averages.
Example prompt:
Analyze the last 30 days of LinkedIn Ads performance.
Compare campaigns on spend, clicks, conversions and cost per conversion.
Then break performance down by job seniority and company size and highlight any meaningful differences in the audiences responding to each campaign.Research targeting before you build a campaign
LinkedIn targeting is another area where an AI interface can remove a lot of repetitive work.
HireOtto can search LinkedIn's targeting entities for things such as:
job titles
job functions
seniorities
companies
industries
skills
locations
You can start with a plain-English audience idea, inspect the actual LinkedIn targeting options that match it, and estimate the resulting audience before creating anything.
For example:
Find LinkedIn job-title targeting options related to "Marketing Manager".
Show me the available matches first.
Then estimate the audience in the United States for companies with 50–1,000 employees using the most relevant titles.That is particularly useful when you know who you want to target but not exactly how LinkedIn classifies them.
Build campaigns with a review-first workflow
HireOtto also supports selected LinkedIn Ads write workflows.
You can create campaign groups, campaigns and supported creatives, work with targeting inclusions and exclusions, upload image assets, and make selected changes to existing campaigns.
The workflow is intentionally conservative.
You can ask the AI to build the structure in DRAFT, inspect what it created, and only activate campaigns when you are ready.
For example:
Create a campaign group called "Q4 Demand Gen".
Build a campaign targeting the audience we just researched and prepare a single-image ad using the creative I uploaded.
Keep everything in DRAFT.
Show me the final targeting, budget, schedule and creative configuration before I review it in Campaign Manager.The goal isn't to hand your LinkedIn account over to an autonomous agent.
It is to remove the mechanical work around analysis, audience research and campaign setup while keeping important launch decisions visible and reviewable.
Why LinkedIn Ads was next
HireOtto started with Google Ads, but most performance-marketing workflows don't live inside one platform.
For B2B teams especially, Google Ads and LinkedIn Ads often answer two very different parts of the same acquisition problem.
Search tells you who is actively looking.
LinkedIn lets you intentionally reach the companies and people you want to sell to.
Having both available to the same AI assistant opens up much more interesting workflows than operating either platform in isolation.
For example, you could ask it to compare Google Ads and LinkedIn Ads performance, investigate what happens after each source reaches the website using GA4, or build a weekly paid-media review across both channels.
That cross-platform layer is where I want HireOtto to keep going.
Also shipped
Dynamic Search Ads and page feeds in Google Ads
Google Ads can now create and manage Dynamic Search Ads, including dynamic targets and negative targets.
HireOtto also supports DSA page feeds, so you can create feeds, add or replace URLs and labels, attach them to campaigns, target specific labels, and remove them when they are no longer required.
This makes it possible to manage workflows such as limiting a Dynamic Search campaign to a curated set of website pages directly from your AI assistant.
GA4 and GTM are now easier to find in Claude
The HireOtto Google Analytics and Google Tag Manager MCP servers are now listed in Claude's Connectors Directory.
If you use Claude, you can discover and connect them directly from the connector ecosystem instead of starting with a manual MCP URL.
Both remain read-only today: GA4 for reporting and analysis, and GTM for inspecting your tracking implementation.
What’s next
Building the operational layer for performance marketing
The longer-term idea behind HireOtto is not just to connect more marketing platforms to AI.
It is to give the agent an operational layer across them.
Google Ads and LinkedIn Ads already include write capabilities, so a workflow does not have to stop once the analysis is finished. The agent can investigate an issue, show you the evidence, propose a change, and then make the changes you approve.
GA4 and GTM are read-only today. Over time, write capabilities there – and across other platforms – will be driven by the workflows customers actually need.
The mental model I keep coming back to is simple:
You bring the marketing expertise. HireOtto brings the operational access.
Your prompt provides the specific task and account context. Your own playbooks, checklists, and ways of working can increasingly be encoded into reusable skills. The agent can then combine that expertise with live platform access to investigate, reason, and act.
That is the direction I want HireOtto to take: not another dashboard, and not an AI replacing the marketer, but an operational layer that lets experienced marketers execute much more of their existing thinking through an agent.
Question
What is one workflow you would most like HireOtto to take from analysis all the way through to action?
It can live inside one platform or span several of them.
Reply with the workflow you still find yourself doing manually. Those are the requests I use to decide what gets built next.
— Suyash
Founder, HireOtto
