Start with the question.
Which topics matter to your buyers? Which brands appear in those answers? Which sources are cited? That is where we start looking for the gap.
Citations · Organic AI visibility
Get cited where AI gets its answers.
LLMNTS identifies the sources influencing ChatGPT, Gemini, Claude and Google AI — then executes the content and publication work to put your brand into relevant sources.
We work with leading publishers worldwide — including CNN, Handelsblatt and The Times of Israel.
Publisher selection, content creation, publication and measurement. One recurring execution plan.
Why citations matter
Your brand needs to appear in the sources relevant to the answer.
AI systems answer questions using a mixture of learned information, retrieved web sources and other signals. When an answer references a source, that is a citation. When it names your brand, that is a mention. They are related, but they are not the same thing.
Then do the work.
Software can tell you where you are invisible. LLMNTS fixes the gaps through source selection, content production and publication — then measures what changes.
Appearing in a relevant source can support visibility. It does not guarantee an AI citation or recommendation.
Publisher selection
Not just any citation.
The right citation.
We work with some of the best publishers worldwide.
From CNN in the US to Handelsblatt in Germany and The Times of Israel, we work with leading international publishers to build relevant brand presence. Global reach matters. So does choosing the publication that fits your topic, audience and market.
Publisher opportunities depend on topic fit, availability and editorial requirements. A specific placement or AI citation is not guaranteed.
01 / Reach + relevance
Established media
Business, national and international publications when their coverage fits the topic and source landscape.
02 / Subject depth
Specialist publishers
Trade and vertical publications with the subject-matter focus relevant to your market.
03 / Specific context
Niche authorities
Focused sources that address a particular buyer question, category or regional market.
Global publishers and specialist authorities, selected around your citation gaps. Opportunities and terms are agreed for each project.
| Starting point | Traditional link building | LLMNTS |
|---|---|---|
| Question | Where can we get a link? | Which sources matter to the AI answer? |
| Selection | Available publisher inventory | The topic and citation gap |
| Evaluation | Domain and link metrics | Topic relevance + observed AI/source relevance |
| Success | Placement secured | Visibility measured after publication |
A comparison of emphasis. Strong link-building and digital PR teams may also assess relevance and downstream results.
LLMNTS Tech / Citation gap mapping
We map exactly where
your brand is missing.
For the topics that matter to your business, we map the sources appearing in AI answers against your brand's presence. That shows where competitors are being mentioned, where your own content falls short and which gaps deserve action.
External sources
Independent coverage and recommendations
CNN
Relevant business coverage
Missing mentionHandelsblatt
Market and industry coverage
Competitor presentThe Times of Israel
Technology and innovation coverage
Source to assessAlso map specialist reviews, comparisons, industry guides and relevant video reviews.
Your own pages
First-party answers AI can reference
Your website / Priority pages
A useful page for each buying question.
- Direct answers to relevant prompts
- Clear facts and comparisons
- Current products and services
- Accessible, extractable content
Comparison pageCoverage gap
Product factsPresent · Validate
Customer evidenceNeeds more detail
Social proof
Real experiences and independent voices
Reddit
Relevant discussions and recommendations
Presence to assessTrustpilot
Customer review coverage
Evidence gapYouTube
Product reviews and demonstrations
Competitor presentPlatform names identify example sources; symbols are category markers. We assess authentic evidence, not manufactured reviews or comments.
Observed AI answers
ChatGPT · Gemini · Claude · Perplexity · Google AI
Connect the source gap to the buyer question — then track citations, brand mentions and recommendation visibility over time.
Find the missing source
Where is the brand absent from relevant coverage?
Define the action
Create a page, strengthen evidence or source publisher coverage.
Measure the change
Review repeat observations and refine the next month's plan.
All statuses above are illustrative, not findings about these publishers or platforms. Actual source selection is specific to each topic and market.
The execution model
From citation gap
to published content.
And back to the data.
For each topic, you buy a fixed monthly volume of on-page and/or off-page articles. LLMNTS manages the work from brief to publication and the review that follows.
Identify the topics
LLMNTS Tech analyzes AI visibility, competitor performance and citation gaps. We select the topics with the greatest opportunity and agree a fixed monthly volume of on-page and/or off-page articles for each topic.
Identify the sources
For off-page work, we identify the source types and publisher opportunities relevant to the topic and the answers you want to appear in.
Source the publishers
We secure appropriate publisher opportunities. Third-party publisher and media costs are paid separately by the client and agreed before proceeding.
Create the content
Every article starts with a detailed copy brief and a writer with relevant subject-matter experience.
Get approval where required
Your team reviews content where the agreed workflow requires it. On-page publication follows client approval.
Publish off-page
We manage delivery to the publisher and coordinate publication, including the agreed editorial requirements.
Publish on-page
With agreed CMS access, we create the article, obtain your approval and publish it directly to your website.
Measure the impact
We follow publication through discovery and indexation where observable, then citations, mentions and recommendation visibility. Published is a milestone, not the final KPI.
Repeat monthly
A performance report and strategy meeting close the month: results, competitor movement, new gaps and next month's topics and execution plan.
Two routes to organic visibility
Your website. The wider web.
One coordinated plan.
| Dimension | On-page | Off-page |
|---|---|---|
| Where | Your own website | Third-party publisher |
| Selection | Content gaps identified by LLMNTS Tech | Citation and source gaps identified by LLMNTS Tech |
| Execution | LLMNTS creates and publishes through agreed CMS access | LLMNTS creates content and manages publisher placement |
| Approval | Client approval before publication | Client approval where requested or agreed |
| Goal | First-party authority and answer coverage | Brand presence in external sources relevant to AI answers |
Publisher and media fees are paid separately by the client. We agree the opportunities, costs and approval workflow before proceeding.
Powered by LLMNTS Tech
Published is the start of measurement.
Each month builds on the last. LLMNTS Tech informs the topics and sources; our team executes, reviews the results and adjusts the next month's plan.
- Measure
- Find gaps
- Select topics
- Select sources
- Create
- Publish
- Measure again
LLMNTS TECH / THE INTELLIGENCE LAYER
AI visibility · Competitor performance · Citation gaps · Topic and source selection
- PublicationConfirm delivery and the published content.
- DiscoveryCheck discovery and indexation where observable.
- Citations + mentionsTrack referenced sources and brand mentions across the agreed prompts.
- Recommendation visibilityReview whether and how the brand appears in relevant answers.
- Monthly movementCompare citation and share-of-voice metrics, competitor changes and new gaps.
AI outputs fluctuate. We review repeated observations and context; no publisher placement guarantees a specific model citation, and movement alone does not establish causation.
From reporting to the next action
A monthly review
your team can use.
The report connects the gap, the work completed and the signals to check next. The strategy meeting turns that evidence into next month's execution plan.
LLMNTS / Monthly citation reviewIllustrative workflow · Not client results
01 / Initial gap
Missing from comparison answers
A priority buying question surfaces competitor mentions and relevant specialist sources.
02 / Content + publisher action
Build the missing coverage
Create an approved first-party article and source a relevant specialist publication opportunity.
03 / Visibility review
Check what changed
Compare citations, mentions and recommendation visibility across repeated observations. Record movement, no change or insufficient evidence.
Next month's decision: expand the topic, refine the content, pursue another source or allow more observation time.
Intelligence + execution
A team that carries the work through.
LLMNTS combines strategy, publisher sourcing, subject-matter writing, publication and measurement. Every article has a brief. Every placement has a reason. Every month ends with a review.
Mass link building, a static publisher marketplace and a dashboard that stops at reporting the problem are not our model. Neither is generic AI-generated content at scale.
Questions, answered
AI citations, explained.
What is an AI citation?
An AI citation is a source reference included in an AI-generated answer, often as a link. A brand mention is different: your brand can appear in an answer without a citation to your website. We track both.
What is LLM citation building?
It is the work of identifying relevant topics and sources, creating useful content and earning or securing appropriate publication opportunities that can support a brand's visibility in AI answers.
How is AI citation building different from link building?
The focus is whether a source is relevant to the questions and AI answers you want to appear in. A backlink may be useful, but placement volume and link metrics alone are not the objective.
How does LLMNTS identify which publishers matter?
LLMNTS Tech informs topic and source selection through AI visibility, competitor performance and citation-gap analysis. We then assess publisher opportunities for topic fit and observed source relevance.
Can you guarantee a citation in ChatGPT or Gemini?
No. Publishers and AI systems make independent decisions. A placement cannot guarantee that a particular model will cite an article or recommend a brand.
Do you create both on-page and off-page content?
Yes. We create first-party content for your website and content for relevant third-party publishers. For on-page work, we publish through agreed CMS access after client approval.
Who pays publisher fees?
Third-party publisher and media costs are paid separately by the client. We agree the opportunities and associated costs before proceeding.
Does the client approve articles before publication?
On-page articles receive client approval. Off-page articles are reviewed and approved where requested or required by the agreed workflow.
How do you measure whether citation work is successful?
We follow publication, discovery and indexation where observable, citations, brand mentions and recommendation visibility across a defined set of topics and prompts. Monthly reporting reviews changes in citation and share-of-voice metrics alongside competitor movement.
How long does it take for published content to influence AI visibility?
There is no fixed timeline. Discovery, indexation, source selection and model updates vary. We monitor outcomes over time and use the monthly review to adjust the plan.
The paid route
Organic visibility is one part of the picture.
This page is about citations and organic AEO. For the paid route, explore our approach to LLM Ads.
Start with the citation gap
Find the sources.
Do the work.
Measure the change.
Talk to LLMNTS about the topics you want to win and the content and publisher work needed to support them.