Get Cited More Often by AI Engines

A 5-7 day sprint to build the external signals that make AI engines recommend your product - citation sources, entity authority, and third-party mentions.

Duration: 5-7 days Team: 1 Senior GEO Strategist + Outreach Specialist

You might be experiencing...

AI engines cite your competitors but not you - even though your product is better.
You have great content but no citation authority - AI engines don't consider you a credible source.
Your Wikipedia and Wikidata presence is minimal or non-existent.
You need a systematic approach to building the external signals that AI engines use for recommendations.

The AI Citation Building Sprint builds the external signals that make AI engines cite and recommend your product. Your content can be excellent, but if AI engines don’t recognize your brand as authoritative in your category, you won’t appear in recommendations.

Why Citation Authority Matters for GEO

AI engines don’t just search the web and return results. They synthesize answers from sources they consider authoritative. The key question is: does the AI engine consider your brand authoritative enough to cite?

Entity authority is the single most important factor in whether an AI engine recommends your product. It is a function of how many credible sources mention your brand, how consistently your information appears across the web, and whether you exist in knowledge graphs like Wikipedia and Wikidata.

Most startups have weak entity authority. They have a website, maybe some blog posts, but very few external signals that tell AI engines “this brand is a credible source in this category.” The result: AI engines recommend competitors who have built broader external presence, even if those competitors have inferior products.

What the Sprint Covers

Citation source analysis - We reverse-engineer which sources AI engines currently cite for your category. Not all sources carry equal weight. A mention on a respected industry publication has 10x the impact of a social media post. We map the high-value sources where your brand needs to appear.

Wikipedia and Wikidata optimization - Wikipedia is one of the most-cited sources across all AI engines. If your brand doesn’t have a Wikipedia page (or has an incomplete one), you are invisible to a critical citation source. We develop a Wikipedia/Wikidata optimization plan that builds your knowledge graph presence within Wikipedia’s editorial guidelines.

Strategic content placement - Guest articles, expert commentary, industry directory listings, and review platform presence - each one adds a signal that tells AI engines your brand is a recognized player in your category. We identify the 10 highest-impact publications for your category and design placement strategies for each.

Third-party mention strategies - Beyond content you create, you need other people talking about your brand. We design strategies for earning organic mentions through original research, industry participation, and community engagement that AI engines pick up as authority signals.

Book a free GEO strategy call to discuss your citation building scope.

Engagement Phases

Day 1

Citation Source Analysis

Analyze the sources AI engines currently cite for your category. Identify the authority signals, content formats, and platforms that drive citation frequency.

Days 2-4

Citation Building Strategy

Design a 30+ source citation building strategy: strategic content placement, Wikipedia/Wikidata optimization, industry directory submissions, and guest content targeting.

Days 5-7

Implementation Kickoff & Tracking

Begin execution of highest-priority citation building actions. Set up tracking dashboard. Deliver 30-day execution checklist for continued implementation.

Deliverables

Citation building strategy with 30+ target sources
Wikipedia/Wikidata optimization plan
Industry directory and aggregator submission list
Guest content placement strategy (10 target publications)
Implementation tracking dashboard setup
30-day execution checklist

Before & After

MetricBeforeAfter
Citation FrequencyRarely or never cited by AI engines in category queries30+ source citation strategy designed to increase AI engine mention frequency
Entity AuthorityMinimal external signals - AI engines don't recognize your brand as authoritativeSystematic authority building across Wikipedia, directories, and publications
Competitive PositionCompetitors cited 5-10x more frequently in AI recommendationsClear strategy to close citation gap within 90 days

Tools We Use

Citation source analysis Entity authority mapping Wikipedia/Wikidata tools Outreach management

Frequently Asked Questions

What is the price?

USD 7,500 for strategy only, USD 10,000 including implementation kickoff. Fixed-price.

How long until we see results?

AI engines update their knowledge at different rates. Typically 30-60 days for initial improvements, 90 days for significant citation frequency gains.

Is this like link building for SEO?

Similar in concept but different in execution. SEO link building focuses on backlinks for domain authority. AI citation building focuses on being mentioned as a credible source in the types of content that AI engines use for training and retrieval. The target sources, content formats, and signals are different.

Do you handle the outreach?

The strategy sprint includes designing the outreach plan and executing the highest-priority actions. Ongoing outreach is included in the GEO retainer at the $8,000/month tier.

Get Recommended by AI.

Book a free 30-minute GEO strategy call. We check what ChatGPT, Perplexity, and Gemini say about your product right now - and show you how to improve it.

Talk to an Expert