The AI Analysis Report is available after posts go live and comments start coming in. The more comments a campaign generates, the richer the analysis. Reports update as new data syncs from LinkedIn.
How to access the report
From your live campaign dashboard, click View All Analysis or Check Post-Analysis Report on any creator row. You can also access it from the left-side campaign progress panel under AI Analysis Report.Overall vs creator-level report
At the top of the report, you can switch between two views:
Start with the overall view to understand how the campaign performed as a whole. Then go creator by creator to understand who drove which kind of value.
The three report tabs
Both the overall view and the individual creator view are split into three tabs. Each tab answers a different question.Tab 1: AI Comment Analysis
This is the most valuable tab for marketers. Comments on LinkedIn are not noise — they are direct signals from your target audience about how they responded to the campaign.
Campaign metrics summary
At the top of this tab, a quick summary of the campaign’s overall performance:Top audience categories
Shows the strongest audience signals from the campaign across four dimensions. You can filter the view by reach, engaged likes, or engaged comments.
This is useful for comparing against the audience you targeted. If you set filters for founders and HR leaders but the top role in your report is student, something went wrong in creator selection and you can fix it in the next campaign.
Sentiment Analysis
The AI reads every comment across all creator posts and sorts them into three buckets.
Under each sentiment bucket, the report shows example comments so you can read actual responses rather than just percentages.
Why this matters for marketers
Sentiment tells you things a like count never will. A post can have 500 likes and a comment section full of scepticism. A post can have 80 likes and 40 comments from people saying they are going to try the product this week. The numbers look very different but the second post is the better campaign outcome.
Tracking sentiment across campaigns also tells you whether certain creators, topics, or content formats consistently generate more positive responses. That feeds directly into brief writing and creator selection for future campaigns.
Emotional signals
Beyond positive, negative, and neutral, the report also identifies the specific emotions present in comments:
Scepticism and frustration in comments are early warning signals. If they appear consistently across multiple creators in a campaign, it usually means either the product claim in the brief was too strong or the creator’s audience did not trust the collaboration.
Comment depth analysis
The report splits comments into two categories:
Detailed comments indicate real audience involvement. They are also more likely to be from the professional, decision-maker audience you were trying to reach. A high ratio of detailed to superficial comments is a strong signal that the content resonated at a deeper level.
Customer Query Analysis
This section is where the report shifts from brand perception into business intelligence. The AI identifies comments that contain actual buyer signals and sorts them into three categories.
- Product Queries
- Purchase Intent
- Customer Concerns
Comments where people asked questions about the product — how it works, where to get it, pricing, availability, features, or anything else they wanted to know before deciding whether to try it.The report shows:
- Volume of product queries
- Top query categories (delivery, pricing, availability, features, etc.)
- Example queries
- AI-generated insight summarising what the audience most wanted to know
Best performing influencers
This section highlights creators by the type of value they delivered — not just who got the most reach.
This matters because the creator who generated the most impressions is not always the one who delivered the most business value. A mid-sized creator with a highly engaged niche audience often drives more purchase intent and more qualified queries than a larger creator with a passive following.
Influencer performance comparison table
A side-by-side breakdown of every creator in the campaign across the key intelligence metrics.
Tab 2: Engaged Audience
This tab focuses on who actually interacted with the campaign — people who liked or commented, not just people who scrolled past.
Top metrics
Audience snapshot
A quick summary of the strongest engaged audience signals:Audience distribution
A full breakdown of the engaged audience across four dimensions. Toggle between Likes and Comments to see whether different audience segments engage differently.
Why this matters for marketers
Engagement from the wrong audience is a common problem in influencer marketing that most brands never catch because they do not have this data. If you targeted CTOs and your engaged audience is mostly entry-level employees, the creator’s audience did not match what their profile suggested. This tab gives you proof of that mismatch so you can make a better creator decision next time.
Tab 3: Reached Audience
This tab shows who saw the campaign posts, even if they did not like or comment. It is about visibility and audience spread.
Top reach metrics
Reach summary
Quick snapshot of the strongest reached audience signals — top location, top role, top seniority.Audience distribution
Full breakdown of the reached audience across job roles, locations, industries, and seniority. This is particularly useful for awareness campaigns where the goal was visibility into a specific professional segment rather than direct engagement. Reached vs engaged — why both matterIndividual creator report
Switch to any creator using the selector at the top of the report page. Everything described above — all three tabs — is available at the individual creator level too.
Use the individual report to:
- Compare two creators who had similar reach but different comment quality
- Identify which creator drove the most purchase intent relative to their audience size
- Decide which creators to work with again based on audience fit, not just performance numbers
- Build an internal shortlist of high-value creators for future campaigns
Rate the influencer
After reviewing the AI report, you will see a Rate the Influencer panel on the side. This is private and only visible to your team.
Submit a rating for each creator. This data feeds into anchors’ creator ranking system and improves future recommendations for your account and others on the platform.
What marketers should do with this report
Most marketers look at a campaign report once and file it. Here is how to actually use it.Use sentiment data to improve your next brief
Use sentiment data to improve your next brief
If negative sentiment or scepticism appeared consistently, read the example comments. They will tell you exactly which claim, tone, or product angle did not land. Rewrite that part of your brief for the next campaign.
Use product queries to fix your content gaps
Use product queries to fix your content gaps
Every unanswered question in a comment is a conversion that did not happen. If people kept asking about pricing, add a pricing reference to the next brief. If they asked about delivery, make sure creators mention it. The comments are telling you what your content is missing.
Use purchase intent to identify your best creators
Use purchase intent to identify your best creators
Sort the influencer comparison table by purchase intent. The creator at the top of that column is your highest business-value creator from this campaign. Work with them again. The one at the bottom with high reach and zero purchase intent is not worth the same budget next time.
Use audience data to validate or fix your targeting
Use audience data to validate or fix your targeting
Compare the top role and top seniority in your engaged audience against what you set in the influencer criteria. If there is a mismatch, your creator selection or audience filters need adjusting. The data tells you exactly where the gap is.
Use the CSV export for stakeholder reporting
Use the CSV export for stakeholder reporting
Download the influencer performance table as a CSV. Use it to build a campaign summary for your team or leadership. The data covers sentiment, queries, intent, and concerns — enough to present a full picture of what the campaign delivered without relying on vanity metrics.
Use customer concerns as product feedback
Use customer concerns as product feedback
If the same concern appeared in comments across multiple creators, take it to your product or customer success team. Comments on an influencer post are unsolicited feedback from real potential buyers. That is valuable data that goes beyond campaign performance.
Next steps
My Influencers
Save top-performing creators from this campaign to your private influencer list, you can access from the dashboard
Collab Library
See how other brands are running LinkedIn influencer campaigns for inspiration and benchmarking.