Corda turns a complex authority-building process into a thoroughly guided workflow. You start with your website.
Corda reviews the authority signals connected to your brand, puts them in context with your competitors, identifies relevant publisher opportunities, and helps you turn those opportunities into a campaign.
This page walks through that process from the first screen to campaign creation. It is written for someone opening Corda for the first time, so each step explains what happens, what you see, what the information means, and how you would use it in practice.
The Corda Workflow At A Glance
The full journey can be understood as one connected flow:
Website / Brand
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Existing Backlink Analysis
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Authority & Publisher Opportunities
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AI Recommendation
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Campaign Setup
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Discover Publishers
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Review & Select Opportunities
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Create Campaign
The important part is that these stages are connected. Simply put, the data you collect at the beginning shapes the recommendations you see later.
Step 1: Start With Your Website
First, tell Corda which brand you want to analyze.
This is the starting point for the authority analysis. Once you enter the brand, Corda can examine the publisher landscape around it, including its existing backlink footprint.
The purpose is not simply to count links. Corda uses existing backlink information as a starting point to understand where the brand already has authority and which publishers are part of that profile.
What You Should Expect To See
| Once the analysis is available, publisher-level information can include: DR: Domain Rating Traffic: estimated traffic associated with the publisher DA: Domain Authority AS: Authority Score Ranking Keywords: keywords for which the domain ranks Domain Age: how long the domain has existed Indexed Pages: the number of pages indexed for the domain AI Score: Corda’s highlighted AI-based signal for evaluating the opportunity |
Don’t read these metrics as separate numbers without context. Together, they help establish the quality and relevance of the publisher landscape around your brand.
Practical Demo
Imagine you are analyzing a financial technology brand.
You enter the brand into Corda.
Corda surfaces publishers connected to the brand’s existing backlink profile and displays information such as:
Publisher A
DR: 72
Traffic: 185K
DA: 68
AS: 61
Ranking Keywords: 42K
Domain Age: 14 years
Indexed Pages: 38K
AI Score: 86
The key takeaway isn’t simply that Publisher A has a high DR. You now have several signals to consider together:
- Is the publisher established?
- Does it attract relevant traffic?
- Does it rank for a meaningful number of keywords?
- Does it have a strong authority profile?
- How does Corda’s AI Score assess the opportunity?
That gives you a much more useful starting point than looking at domain authority alone.
Step 2: Understand The Competitor Context
Corda then connects your website analysis with the competitive landscape.
This matters because your current backlink profile only tells you what your brand has already built. Competitor analysis helps you see what’s happening around you.
Corda can examine competitor signals to identify publishers, authority patterns, and opportunities relevant to your campaign.
The workflow becomes:
→ Your website
→ Your existing authority signals
→ Competitor signals
→ Differences between the two
→ Potential opportunities
This is where a backlink list starts becoming an authority strategy.
Practical Demo
Imagine your fintech brand has strong coverage in general finance publications, but three competitors repeatedly appear on technology, startup, and investment publishers where you don’t currently have coverage.
Corda can help expose that difference. Instead of concluding: “Competitor X has more backlinks.”, you can ask:
“Which parts of the publisher landscape are they reaching that we are not?”
That becomes important later when Corda recommends where to build authority.
Step 3: Identify Authority Gaps
The next stage is about understanding what the data means.
An authority gap is not simply a difference in backlink count. It can represent an area where your brand has less publisher coverage, less authority, or fewer opportunities compared with the competitive landscape.
Corda uses the information gathered during analysis to help identify these gaps.
The conceptual flow is:
- What you already have
- What competitors have
- Relevant publisher landscape = Potential authority gaps
These gaps then become inputs for the opportunity-discovery stage.
Practical Demo
Suppose your competitors have strong publisher coverage around: “Personal finance → fintech → investing → business technology.” While your strongest coverage is concentrated around:
Personal finance → banking
Corda can help surface the missing areas as opportunities to investigate. Now, to sum up, that is the basis for the next stage of the workflow.
Step 4: Let Corda Recommend Opportunities
Once Corda has evaluated the competitive and authority signals, it can move from analysis to recommendations.
This is where the AI Recommended workflow becomes useful.
Rather than manually reviewing every possible publisher from the beginning, Corda can identify a more focused set of opportunities to consider.
You may see an AI Recommended call to action that moves you into the AI-assisted workflow.
The recommendation is not meant to remove the user’s control. It is intended to reduce the amount of manual sorting required before you can make a campaign decision.
Practical Demo
Imagine Corda identifies 80 available publisher opportunities.
Instead of opening and comparing all 80 manually, the AI-assisted path may narrow your attention to a smaller set of recommendations based on the signals available to Corda.
For example:
Publisher A
High authority + strong relevance + strong AI Score
Publisher B
Established domain + relevant traffic + competitive opportunity
Publisher C
Relevant niche coverage + authority gap alignment
Now you have a starting point for review, not an unfiltered list.
Step 5: Choose How You Want To Build The Campaign
Corda supports a guided, AI-assisted path while still letting you control the publisher selection process. The distinction is important:
AI-Assisted Workflow
Corda recommends opportunities and provides the supporting context.
Manual Workflow
You choose and refine the opportunities yourself.
The AI-assisted option is designed to simplify the decision-making process rather than replace it.
Once you select the AI-assisted route, Corda can provide information such as budget, link price, and recommendation rationale before you proceed.
Practical Demo
Suppose Corda presents an AI-recommended campaign opportunity with:
Estimated Budget: $2,400
Average Link Price: $400
Recommendation Rationale: Strong authority and relevant publisher coverage aligned with the identified competitor gap
This screen has a straightforward purpose. Before you create the campaign, you know:
- What is being recommended?
- What could it cost?
- Why was it recommended?
That makes the next decision more transparent.
Once you choose AI-assisted mode, Corda removes unnecessary manual input fields from the workflow and routes you toward campaign creation.
This keeps the experience focused on the actual decision rather than asking you to repeatedly enter information that Corda has already evaluated.
Step 6: Set The Campaign Context
Before reviewing final publisher opportunities, campaign context helps Corda organize the selection around the right market and category.
The exact options available depend on the campaign workflow, but key campaign information can include the industry, niche, country or locale, and publisher or PR partner selection.
Corda also standardizes certain inputs to keep the campaign information consistent.
For example, a niche entered as: fintech can be displayed as: Fintech. This small normalization step helps maintain consistency across the interface.
Country And Locale
When selecting a country, the available locale should use the complete country name where applicable.
For example:
United States of America, rather than an abbreviated or inconsistent variation.
This is especially important when the campaign targets a specific geographic market.
Industry
The industry selection helps establish the context for the opportunities being considered.
The objective is simple: don’t evaluate the campaign in a vacuum. The publisher opportunity should make sense for the industry, market, and campaign objective being configured.
Step 7: Choose Publisher Or PR Partner
Corda allows the workflow to distinguish between Publishers and PR partners.
This selection matters because the related information shown in the campaign changes based on the opportunity type. In other words, this is not simply a label switch.
The selection offers context for the rest of the workflow.
Practical Demo
Imagine you choose: Publisher
The following campaign information is presented around publisher-based opportunities. You then switch to: PR Partner
The related content changes to reflect the PR-oriented path. Now, this keeps the campaign experience relevant to the type of placement you’re evaluating.
Step 8: Open Discover
After you establish the campaign context, you move into the Discover stage. This is where the publisher opportunities become actionable.
The Discover screen brings together the publisher information and recommendations needed to make your selection.
When using the AI-assisted workflow, AI-recommended sites can be pre-selected.
You can review those recommendations and switch to manual selection when you want more control over the final publisher set.
What To Look For
When reviewing publishers, consider the full information Corda shows rather than focusing on one metric.
A publisher may have “High DR.”, but weaker relevance.
Another may have: “Lower DR.”, but stronger topical alignment and a more useful opportunity for the campaign.
Discover’s purpose is not simply to find the biggest numbers. It helps you choose using multiple signals.
Step 9: Understand The Opportunity Count
Corda presents the available opportunity volume as the total number of linking opportunities. This is different from displaying an artificial ratio such as 26 / 20, where the second number implies an arbitrary maximum.
Instead, the interface should communicate the total opportunity available.
Practical Demo
Suppose the campaign currently has 26 linking opportunities
That tells you the size of the opportunity pool.
As more opportunities are available, the total can reflect that actual number rather than being constrained by a fixed denominator.
This makes the campaign information easier to interpret and prevents the interface from suggesting that the available publisher inventory is capped at an arbitrary number.
Step 10: Review Publisher-Level Technical Data
Now you are in the part of Corda where you can evaluate individual opportunities more closely. At this stage, the publisher metrics become practical decision inputs.
For example:
| Signal | What it helps you understand |
| DR | Relative domain-level link authority |
| Traffic | Potential visibility and audience reach |
| DA | Another domain-authority signal |
| AS | Authority signal from the relevant data source |
| Ranking Keywords | Search visibility and breadth |
| Domain Age | How established the domain is |
| Indexed Pages | Approximate scale of the indexed site |
| AI Score | Corda’s additional recommendation signal |
The important point is that these metrics are inputs into a decision, not automatic guarantees of campaign value.
Corda combines the available signals to help you evaluate the opportunity in context.
Step 11: Compare AI Recommendations With Your Own Judgment
Corda reduces repetitive analysis while keeping the user in control.
That becomes especially clear on Discover. An AI recommendation gives you a starting point.
The publisher data lets you inspect the opportunity. Manual selection lets you change the final set.
| So the workflow is: AI recommendation→ Review the evidence→ Keep, remove, or manually select→ Finalize opportunities |
This means you don’t have to accept every AI recommendation just because it appears in the recommended set.
You can use Corda’s intelligence as a decision aid while still shaping the campaign yourself.
Step 12: Create The Campaign
Once the publisher selection is ready, the workflow moves toward campaign creation. At this point, you’re no longer building the campaign from a blank page.
It has been informed by:
- Website analysis
- Existing backlink signals
- Competitor data
- Authority gaps
- Publisher metrics
- AI recommendations
- Budget and link-price context
- Campaign settings
- Selected opportunities
That is what makes the final campaign different from simply exporting a list of websites.
Practical Demo
Consider the same fintech example. At the beginning, you only knew: “We want to build more authority.” By the end, the campaign has a much clearer structure:
| Market: United States of America Industry: Fintech Opportunity Type: Publisher Priority: AI-recommended + manually reviewed Selected Publishers: Relevant opportunities from the Discover screen Budget: Reviewed before proceeding Link Price: Evaluated before selection Rationale: Connected to identified authority and competitive opportunities |
The campaign now has a reason behind each stage of its construction.
The Full Corda Journey
The entire workflow can be reduced to one practical sequence:
01 – Analyze
Enter your website or brand
Corda uses the brand as the starting point for understanding the existing authority landscape.
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02 – Understand
Review backlink and publisher signals
Examine DR, Traffic, DA, AS, ranking keywords, domain age, indexed pages, and Corda’s AI Score.
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03 – Compare
Bring competitors into the picture
Identify where competitors have publisher coverage or authority signals that your brand may not have.
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04 – Identify
Find authority gaps
Translate those differences into areas where additional authority may be useful.
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05 – Recommend
Use AI Recommended
Corda narrows the opportunity set and provides recommendation context.
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06 – Configure
Set campaign context
Define relevant industry, niche, country or locale, and Publisher or PR partner context.
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07 – Discover
Review opportunities
Open the Discover screen, inspect publisher-level data, and review AI-preselected opportunities.
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08 – Decide
Use AI or manual selection
Keep the recommended opportunities, change them, or select publishers manually.
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09 – Create
Build the campaign
Move forward with a campaign built around analyzed data, not an unfiltered list of potential placements.