Secure the AI Citations Engines Actually Trust

Citations are the single strongest external signal AI engines use to decide which brands to recommend. Our citation building service secures mentions in the exact publications and directories that influence AI citation behavior.

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Key benefits

Targeted Publication Outreach

Placements in 20+ high-authority publications that AI engines reference regularly.

Directory & Platform Listings

Optimized profiles on G2, Capterra, TrustRadius, Gartner, Forrester, and industry-specific directories.

Earned Media Campaigns

Original research, data reports, and expert commentary that gets you quoted in top publications.

Citation Monitoring

Continuous tracking of new citations, mention accuracy, and competitive share-of-voice.

Our process

01

Citation Audit

We map your existing citations, identify gaps vs competitors, and prioritize target publications.

02

Outreach Strategy

Custom outreach plan targeting the highest-impact citation opportunities for your category.

03

Placement & Content

We secure placements, create supporting content, and coordinate with editors and analysts.

04

Amplify & Monitor

Once citations land, we amplify them and monitor how AI engines surface the new mentions.

Common questions

How many citations do I get per month?
Depends on the plan: typically 10–25 new high-quality citations per month for active campaigns.
Are these paid placements?
No. All citations are earned: expert commentary, original research placements, directory optimization. No paid link schemes.
Do citations actually move the needle?
Third-party citations are one of the strongest signals AI engines use, so the work is aimed at the right thing. We will not put a percentage on it: nobody controls what a model says, and a guaranteed increase is a claim about someone else's system rather than a service level. What we do promise is a fixed query set, every check recorded including the ones where nobody mentions you, and per-engine results you can check yourself.

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45 minutes with a senior AEO strategist. Real insights, custom roadmap, zero sales pressure.

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This is not local NAP citation building

Worth saying plainly, because the phrase is contested. Most pages ranking for "citation building" sell local SEO directory work: getting a business name, address and phone number listed consistently across Yelp, Apple Maps and data aggregators, for map-pack rankings.

That is a real discipline and it is not this one. AI citation building means becoming a source that ChatGPT, Claude, Gemini and Perplexity draw on when answering a buyer question. No address involved, no map pack, different work entirely.

What actually earns an AI citation?

A model quotes a passage because it answers the question better than the alternatives in front of it. That is the whole mechanism, and it rules out most of what gets sold.

  • First-hand specificity. "It took three weeks and the import choked above 50k rows" is citable. "Industry-leading performance" is not.
  • Question-shaped source material. Threads, documentation and comparisons that map onto what someone is actually asking.
  • Independence. A third party describing you carries weight your own page cannot.
  • Durability. A good thread answer keeps being read for years, which is why shortcuts that get removed cost more than they appear to.

What we will not do

TacticWhy not
Aged or purchased accountsAgainst Reddit's terms; removal takes the citation with it
Coordinated upvotingVote manipulation, detectable, and it risks the account
Undisclosed employee commentsRemoved on discovery, and the reputational cost lands publicly
Guaranteed citation countsNobody controls what a model says

Every reply we draft is reviewed by you and posted from your own account, disclosed as you. We do not operate accounts on your behalf and we do not touch upvotes. The reasoning is in Reddit marketing for AI search visibility.

How is it measured?

Against a fixed query set, recorded per check including the runs where nobody mentions you, compared per engine rather than as a single blended number.

The test that matters: ask any vendor what their tool does when a model replies that it has never heard of the brand. That sentence contains the brand name, so a substring match scores the clearest proof of invisibility as a success. We shipped exactly that bug and it inflated two reports before we found it.

Measuring AI citation ROI covers attribution once the number starts moving.