Most advertising and marketing groups are “doing GEO” with 10 totally different instruments, 20 views, 30 totally different spreadsheets, and nil concept what’s occurring.
Now, don’t get me mistaken, I really like all of the instruments within the martech stack we’re utilizing for our personal GEO, however I really like them much more after I don’t have to enter them to make use of them.
And that’s precisely the place Optimizely Opal is available in.
Swiftly, these 10 totally different instruments are working as one unified stack that I don’t even have to consider.
Spoiler: it may (very simply) be the identical for you. Let’s speak by means of it.
How Optimizely Opal makes my job as a GEO strategist manner simpler
- Connectors: Optimizely Opal run your complete stack as successfully as you
- Out-of-the-box agents: Prepared and raring to go, no set-up required
- Customized brokers: Construct your personal (for the whole lot else)
- Analysis surfacer: Know what’s being cited earlier than your rivals do
- RAG and product info: GEO begins with accuracy
Connectors: the entire GEO stack, one interface
Optimizely Opal does not exchange the instruments your group already makes use of. It simply makes it manner simpler to make use of them without delay by means of one considerate interface that simply provides me what I want with none further noise.
By way of mannequin context protocol (MCP), Optimizely Opal connects to any software that exposes a server so your group can question information, set off actions, and pull insights with out switching platforms.
Translation: this implies no extra making an attempt to determine GA4 to floor analytics.
Another examples of how Opal connects with particular instruments:
- Profound to reference all of your GEO immediate information and alternatives
- GA4 to tug all of your internet analytics and information
- Ahrefs or SEMrush for key phrase and search engine optimisation insights that impression AI visibility
- Conductor to determine areas of power or weak spot relating to web site efficiency
- Marketo to include conduct sign traits throughout all of your personas
- Salesforce to take into consideration purchaser intent out of your precise clients
And since Opal helps MCP servers broadly, this listing is not closed.
This implies nearly any software in your martech stack seamlessly integrates with Opal, and Opal will be the ridiculously easy-to-use interface for these instruments.
Out-of-the-box brokers (no setup required)
You need not construct something to get began. Optimizely Opal ships with a set of pre-built brokers purpose-built to maximise AI visibility.
Listed below are some examples of Opal’s GEO brokers and the way they work:
Give it a URL. It checks LLM crawler accessibility, Core Internet Vitals, schema markup, content material construction, and quotation readiness. Then, it outputs a prioritized motion plan. Content material structured for AI retrieval is 40% more likely to be cited in generative responses.
Schema is among the highest-leverage GEO alerts. FAQPage, HowTo, sameAs, the markup that tells LLMs what your content material is and why it ought to be trusted. This agent generates and applies it mechanically. No developer ticket required.
Good search engine optimisation is nice GEO (not my phrases, however Google’s). Titles, meta descriptions, and alt textual content all optimized at scale, with out handbook evaluation cycles.
Here is an uncomfortable reality: plenty of your best-performing content material is quietly changing into a GEO legal responsibility. Outdated stats. Deprecated options. Off-brand language. Terminology that LLMs are studying to mistrust. The Content material Refresh Agent flags all of it so your group has a transparent, prioritized queue of what to repair earlier than it prices you citations.
FAQ schema is among the many most cited content material codecs in generative search outcomes. This agent creates structured Q&A content material formatted for featured snippets and AI-generated solutions.
Profound Citation Gap Analysis
This agent connects to Profound’s AI search monitoring information, analyses aggressive quotation efficiency by subject, and recommends 5 to eight particular weblog subjects to shut quotation gaps. It turns uncooked Profound information right into a content material temporary your group can act on instantly.
Audits content material for LLM discoverability, retrievability, and understandability, then delivers actionable suggestions straight inside your CMP workflow.
Customized brokers (for the whole lot else)
Once you want one thing extra customized, you possibly can create the brokers your group wants along with your model context, your related instruments, and your workflow logic baked in, proper in Opal’s (code-free!) agent builder. Listed below are few examples of customized brokers that we have constructed:
Aggressive GEO Evaluation
Audits competitor pages for GEO greatest practices, compares them in opposition to your personal, and surfaces the place you are behind or forward. Replaces hours of handbook evaluation with a repeatable workflow you possibly can run weekly.
GEO Matter Generator
Unsure what to create subsequent? This agent identifies content material alternatives primarily based on what AI techniques are literally citing in your class, not simply what’s trending on Google. It closes the hole between “we’ve got a content material calendar” and “we’ve got a content material calendar that builds AI visibility.”
Automated GEO Reporting
Slightly than pulling Profound information manually every month, this agent runs on a schedule: queries subject efficiency throughout AI visibility metrics, summarizes traits, flags subjects to look at, and delivers a formatted report on to your group. Groups utilizing this agent are saving 2–3 hours of reporting time per 30 days. Each month.
Content material Auditor
Scans your full content material library in opposition to each model tips and GEO compliance alerts. It leaves structured feedback on flagged objects inside CMP so editors have a transparent, actionable queue. At scale (we’re speaking 300+ articles), this agent recovers roughly 150 hours of handbook evaluation time.
Analysis Surfacer: know what’s being cited earlier than your rivals do
GEO adjustments every single day and it’s virtually unimaginable to maintain up. So, let Opal do it for you.
Opal’s Analysis Surfacer (notice: this isn’t an official launch, only a cool identify I got here up with for the conversations I’ve with Opal) allows you to plug within the publications, influencers, newsletters, and domains your group follows most.
When one thing related to your subjects, rivals, or key phrase clusters surfaces, it will get flagged in context.
Sensible use circumstances embody:
- Surfacing rising subjects from trade publications earlier than rivals decide them up
- Pulling the most recent analyst analysis into a short mechanically
- Flagging when a subject you cowl is getting heavy quotation traction in AI responses — so you possibly can double down whereas it is nonetheless related
That is the way you cease reacting to what’s being cited and begin anticipating it.
RAG and product info: GEO begins with accuracy
Here is a GEO downside that does not get talked about sufficient: if the AI instruments your patrons use have outdated details about your product, no quantity of schema markup or GEO will repair it.
Optimizely Opal’s RAG (Retrieval-Augmented Technology) capabilities join it to your source-of-truth techniques, your DAM, your product documentation, and your gross sales enablement supplies. The end result: every bit of content material Opal helps create or refresh attracts from what’s truly true about your product proper now… not six months in the past.
What this implies for you:
At all times-current product context: Product updates, pricing adjustments, and positioning shifts move into Opal’s information base. When your GTM evolves, your content material displays it.
DAM integration: Authorised belongings, messaging, and collateral in your DAM are accessible to Opal straight. Writers aren’t looking for the appropriate brand model or the accredited product screenshot. It is already there.
Documentation connectivity: Join Opal to your product documentation like API docs, assist middle content material, launch notes and it turns into your GTM alignment layer. Advertising, gross sales, and content material groups all pull from the identical supply of reality.
The GEO use circumstances Opal covers (agent or not)
Brokers are one a part of the story. However GEO is greater than operating audits and producing subjects. Here is the place Opal suits throughout the complete image:
|
GEO use case |
How Opal covers it |
|
Auditing pages for AI search readiness |
GEO Auditor Agent |
|
Schema markup and structured information |
GEO Schema Optimization Agent |
|
Figuring out content material gaps vs. rivals |
Profound connector + Quotation Hole Agent |
|
Matter ideation knowledgeable by quotation alerts |
GEO Matter Generator Agent (customized) |
|
Content material manufacturing and enhancing |
Native AI content material creation in Opal |
|
FAQ and Q&A content material creation |
FAQ Creation Agent |
|
Refreshing outdated content material |
Content material Refresh Agent |
|
Model and GEO compliance at scale |
Content material Audit Agent (Customized) |
|
AI visibility reporting |
Automated GEO Reporting Agent (Customized) |
|
Staying present on cited analysis |
Analysis Surfacer |
|
Retaining product info correct |
RAG + DAM + documentation connectors (Customized) |
|
Conventional search engine optimisation alerts |
Semrush + Conductor connectors |
|
Visitors and conversion efficiency |
GA4 connector |
|
AI quotation monitoring and share of voice |
Profound connector |
|
Workflow governance and human evaluation |
Human-in-the-Loop Escalation Agent (Customized) |
Each row is an issue groups are at the moment fixing with a separate software, a handbook course of, or by no means. Opal covers the complete desk.
How WE use Optimizely Opal for GEO and improved AI visibility
Optimizely Opal offers you with all of the instruments and brokers you want (or may probably dream up) to execute on a GEO workflow, with limitless potentialities.
However with limitless potentialities come infinite obligations.
Orchestrating all of the instruments at your disposal to really obtain outcomes that impression AI visibility is daunting sufficient, so right here’s a 4-stage plan on how we sometimes do that:
Step 1: Establish the Downside
Earlier than you chase AI visibility, you want a clear-eyed learn on the place you truly stand.
That is the diagnostic stage. No spin, no optimism bias, simply an sincere, data-driven image.
Generally the issues are obvious, like a giant fats dip in your profound reporting (or, worse, no information in any respect since you’re not even displaying up).
Generally they don’t seem to be, like understanding how a lot your rivals are being talked about and the place individuals (or bots) are speaking about them.
Regardless of the place to begin, listed here are a few of the instruments and brokers we use when making an attempt to uncover GEO alternatives
Step 2: Analysis the Resolution
As soon as we have recognized the issue (trace: it is virtually all the time that we’re not displaying up sufficient), it is time to perceive why.
- What are our rivals speaking about?
- What’s our viewers speaking about? How do we all know? The place will we even discover that info?
- Do any of the above bullet factors align with our personal GTM messaging framework?
- Do we’ve got sufficient content material to cowl what we wish AI to point out us for?
- When was the final time we even up to date the content material that we do have?
- Is the content material good?
- Are our pages optimized for max LLM visibility?
…you get the purpose.
This stage is about getting sharp on what rivals are doing nicely, on which subjects and codecs AI techniques are literally rewarding, and on the conversations which might be shaping your class proper now.
The objective is to show uncooked information into a transparent, prioritized view of the place your effort will land hardest.
Right here’s a few of what we use to do the appropriate analysis:
Step 3: Execute Motion Gadgets
Analysis will not be a deliverable.
It’s time to transform the whole lot you’ve got realized into one thing you possibly can truly ship. This implies creating and optimizing content material at scale, fixing what’s damaged, refreshing what’s gone stale, and ensuring every bit of output is correct and on-brand.
Generally it is so simple as dropping an FAQ part on a key web page.
Generally it is so simple as deploying applicable schema.
However typically it is realizing that your clients’ ache factors aren’t even being addressed by any of your content material.
And typically it is the actually painful realization that you have not created any authoritative content material for one of many prompts your monitoring in ceaselessly.
Listed below are simply a few of the instruments we use to motion execute (re: create) content material that strikes the needle:
Step 4: Measure the Outcomes
The loop solely closes if you look again. This stage pulls all AI visibility metrics, quotation traits, technical well being, platform analytics into one place and provides you a single, sincere view of what moved and what did not.
Now that what labored? Do extra of it.
Now that what did not? Attempt one thing else.
Here is a few of what’s at our disposal to measure, show, or refine outcomes:
The AI-generated outro
AI visibility is not a marketing campaign. It is a functionality — and it compounds over time. The groups constructing sturdy AI search presence aren’t operating one-off audits. They’ve constructed GEO into the workflow: into how content material is created, reviewed, revealed, and measured.
Optimizely Opal is constructed for that. Out-of-the-box brokers get you transferring in minutes. Customized brokers allow you to construct for precisely your group’s workflow. Connectors convey your current stack into one interface.
You do not want 5 instruments, twenty-four thousand tabs open, and a spreadsheet. You simply want Optimizely Opal.


