For Content Teams

Create Content AI Engines Love to Cite

Understand what makes content citation-worthy across ChatGPT, Perplexity, and Google AI Overview. Use content optimisation insights to close AI search visibility gaps and get cited more often.

Content Citation Dashboard
Content Performance
Citation scores across AI engines
+18.2%
Ultimate Guide to AI Search Visibility
92/100
How LLMs Evaluate Content
88/100
Content Structure Best Practices
76/100
AI Citation Optimization Tips
71/100
81.8
Avg. Score
117
Total Citations
+18.2%
Trend

Why content teams struggle with AI search

AI search is transforming how content gets discovered and valued. Here are the challenges content teams face every day.

Understanding What AI Engines Cite

AI engines don't just index content; they evaluate, interpret, and selectively cite it. Understanding the patterns behind which content gets cited and why is crucial for creating content that performs in AI search.

Creating Citation-Worthy Content

Writing for AI engines requires a fundamentally different approach than traditional SEO. Structure, authority signals, and factual density all play unique roles in how AI models select content to reference.

Measuring Content Performance in AI

Traditional content analytics track pageviews and rankings, but completely miss how your content performs in AI-generated responses. Without AI-specific metrics, you're optimizing for yesterday's search landscape.

Optimizing Existing Content Library

Your existing content library is a goldmine of potential AI citations, but only if it's structured and optimized correctly. Identifying which pieces to update and how is a complex challenge at scale.

How Seerly Helps Content Teams

A purpose-built platform to analyse content patterns, identify gaps, and optimise your content for AI citation and visibility.

Pattern Analysis

Content Pattern Recognition

Analyze the structure, format, and characteristics of competitor content that drives the most AI citations. Understand what makes content citation-worthy and apply those patterns to your own content strategy.

  • Competitor content structure analysis
  • Citation pattern identification
  • Content scoring and recommendations
Content Analysis
Citation Score
Based on 12 ranking factors
92/100
Content Structure95%
Factual Density88%
Authority Signals91%
Readability85%
Content Calendar
Topic
Priority
Gap Score
Status
AI Search Visibility
High
94%
Planned
LLM Content Eval.
High
87%
Writing
Citation Strategies
Medium
72%
Review
Structured Data for AI
Medium
68%
Planned
Gap Analysis

Gap Analysis & Ideas

Generate a data-driven content calendar based on visibility gaps and untapped opportunities. See exactly which topics lack quality AI-cited content and create targeted pieces to fill those gaps.

  • Data-driven content calendar generation
  • Topic gap identification and prioritization
  • Competitive content opportunity mapping
Performance Analytics

Performance Tracking

Track which content pieces drive the most AI mentions and citations in real-time. Monitor citation trends, compare performance across AI engines, and double down on what works.

  • Real-time citation monitoring
  • Cross-engine performance comparison
  • Content ROI and trend analysis
Top Cited Content
Ultimate Guide to AI Search VisibilityChatGPT
487 mentions+23%
How LLMs Evaluate ContentPerplexity
312 mentions+18%
Content Structure Best PracticesGoogle AI
256 mentions+31%
AI Citation Optimization TipsGemini
198 mentions+12%
1,253
Total Mentions
+21%
Avg. Growth
34
Active Pieces

Your Content Optimization Workflow

A proven cadence that keeps your content ahead in AI search citations.

1
Monthly

Review top-cited competitor content

Analyze which competitor content gets cited most and identify the structural patterns behind their success.

2
Bi-weekly

Generate content calendar from gap analysis

Use Seerly's gap analysis to prioritize topics where AI citation opportunities exist but quality content is missing.

3
Weekly

Structure new content with citation optimization

Create content using AI citation best practices: proper structure, authority signals, factual density, and clear takeaways.

4
Ongoing

Track content performance in AI responses

Monitor how each piece performs across AI engines and iterate based on real citation data.

Results Content Teams Achieve

Measurable impact on your content's AI citation performance from day one.

0x
Content Citation Rate
compared to unoptimized content
0%
Faster Content Planning
on average with AI-driven gap analysis
0%
Visibility Improvement
potential within first quarter
0%
More Organic AI Mentions
on average through optimized content

Frequently Asked Questions

Common questions about AI search visibility and organic growth workflows for your team.

Seerly turns tracked AI answers into a gap list: the specific buyer questions where an AI assistant recommends someone else, cites a source you do not own, or answers without mentioning you.

That gives a content calendar built from observed answers rather than from a keyword tool export or a brainstorm.

  • Prompts where competitors are cited and your brand is absent
  • Citation sources each engine leans on for your category
  • Topics surfaced by the Trend Agent from conversations on X and Instagram
  • Coverage against your tracked prompt set: 25 per month on Basic, up to 100 on Pro

Each item traces back to the run and the verbatim response that produced it, so a brief can be argued with before it is written.

How topic and prompt gaps are found

Seerly produces full publish-ready drafts, not only briefs. The Content Agent turns a visibility gap or a trending topic into a complete piece aimed at both Google rankings and AI citations.

Formats follow the shape of the gap, so a comparison question produces a comparison page rather than a generic blog post.

  • Comparison pages, FAQ pages, and long-form articles
  • Drafts tied to the specific prompt and engine that exposed the gap
  • Content credits: 250 per month on Basic, 1250 on Pro
  • Agent chat for revisions: 100 messages per month on Basic, 500 on Pro

Editors generally treat the output as a strong first draft to shape, not as finished copy.

How draft generation works

Yes. Every draft an agent produces lands in an approvals queue and waits for a person. Nothing Seerly writes publishes autonomously, on any plan.

The agents run on a schedule and keep working in the background, but the queue is the gate between the agent and anything public.

  • Every item is reviewed, edited, or rejected before it moves
  • Drafts can be revised through agent chat before approval
  • Publishing to WordPress happens only after approval, and only on Pro
  • Rejections stay recorded, so the same weak idea does not keep resurfacing

Teams with a strict style guide usually approve into a CMS draft state and run the final editorial pass there, which keeps voice and formatting decisions with the editors who own them.

How the approvals queue works

Seerly includes an optional WordPress integration on Pro and Enterprise plans, so an approved draft can be pushed into WordPress without copying and pasting it by hand.

The integration is optional, and plenty of teams skip it. They export the approved draft and move it into their own CMS or publishing workflow, which keeps the final formatting pass where their editors already work.

  • WordPress integration on Pro and Enterprise plans, not on Basic
  • Publishing happens only for drafts that already cleared the approvals queue
  • No CMS access is required for tracking, auditing, or drafting
  • Everything else in Seerly runs against public pages alone

Connecting a CMS is never a prerequisite for measuring visibility or generating content, so it can wait until the workflow settles.

See what each plan includes

Content credits are the monthly allowance Seerly draws on when it generates drafts and content work for you. Basic includes 250 per month and Pro includes 1250.

They exist so a content team can plan volume up front rather than discovering a ceiling halfway through a sprint. Credits reset each month with the billing cycle.

  • 250 content credits per month on Basic
  • 1250 content credits per month on Pro
  • Custom volume on Enterprise, scoped to the account
  • Agent chat metered separately: 100 messages on Basic, 500 on Pro, unlimited on Enterprise
  • Prompt tracking, audits, and reporting metered under their own plan limits

Tracking, audits, and reporting never consume content credits. Only generating drafts and content work does, so measurement continues regardless of how much writing you commission.

Compare content credits by plan

AI answers are assembled from sources the engine can parse and trust, so Seerly reports which sources are actually being quoted for your category rather than guessing at a formula.

Citation patterns differ noticeably by industry and by engine, which is why the observed list is more useful than a generic checklist.

  • Every URL each engine cited on your tracked prompts
  • Whether the cited source is a page you own, a marketplace, a review site, or a reference site
  • Which of your own pages already earn citations, and on which prompts
  • Sources driving competitor mentions that you have no presence on

The pattern that emerges is usually specific: one source type carries most of the answers in your category.

See which sources AI engines quote

No. The structural work that helps an AI engine parse a page, such as clear question-led headings and unambiguous factual statements, is the same work that helps a search crawler understand it.

Seerly is built around that overlap: the same account tracks your Google search footprint next to your AI answer presence.

  • A site audit covering 800 pages on Basic, or all pages on Pro
  • Page-level issues that affect how machines read your content
  • Your Google search footprint tracked alongside the AI results
  • Drafts written for both ranking and citation rather than one or the other

In practice this is an addition to an existing content program, not a rewrite of it.

What the site audit checks

Seerly keeps every scored run, so a piece published against a specific gap can be checked against the same prompts afterward, on the same engines, with the earlier runs still available.

Because the prompt set is fixed and runs are scheduled, the before-and-after uses identical questions rather than a fresh sample.

  • Rolling comparisons across 7 days, 30 days, and 3 months
  • Whether your page entered the citation list for the target prompt
  • Movement per engine, since one usually shifts before the rest
  • The verbatim response for any run, kept for inspection

Timing depends on how quickly engines pick up newly published work, so the honest read is the measured change, not a predicted one.

How performance reporting works

Ready to create content AI loves?

Join content teams already using Seerly to create citation-worthy content across AI search engines.