Let's get the obvious advice out of the way.
- Create useful content.
- Be accurate.
- Build authority.
- Keep your website crawlable.
- Answer the query.
Good advice. Also, table stakes.
If you want to seriously increase your chances of being cited by ChatGPT, Google AI Mode, Gemini or Perplexity, you need to think one layer deeper.
Here are five tactics worth experimenting with.
The opportunity in AI SEO is learning to optimize for the information retrieval process behind the answer—not just matching surface keywords.
1. Optimize for the Questions Behind the Question
You know your target prompt. AI systems know the questions they generate from it.
Google says AI Mode uses query fan-out, breaking a complex request into multiple related searches. Ahrefs now exposes fan-out queries for ChatGPT and Perplexity and notes that these hidden queries influence which sources are retrieved.
So don't optimize only for:
"Best project management software"
Map the likely underlying sub-queries:
• project management software comparison
• project management tools for remote teams
• project management software pricing
• best tools for small teams
Then create pages that own specific subtopics, instead of one giant page trying to mention everything. Ahrefs' research found that cited pages tend to have titles that are more semantically aligned with the fan-out queries generated for the prompt.
2. Find Your Citation Gap, Not Your Keyword Gap
Most SEOs run competitor keyword-gap reports. Try something different.
Take 20–50 prompts your customers actually ask AI. For each one, record:
- Who gets mentioned?
- Who gets cited?
- Which URL gets cited?
- Which competitor appears but isn't cited?
- Which source gets cited repeatedly?
This creates a citation gap matrix:
| Prompt | AI Mentions | AI Citation | Your Site |
|---|---|---|---|
| Best AI SEO tools | Brand A, Brand B, Brand C | Brand B (URL) | — (Missing) |
| Best AI SEO course | Brand A, Brand D | Brand D (URL) | — (Missing) |
| How to track AI citations | Brand B | Brand B (URL) | — (Missing) |
Now you aren't guessing what content to create. You're seeing where the AI's evidence supply is coming from—and where your site is absent.
This matters because AI citation and brand mention are different outcomes. Semrush's 2026 research found that 61.7% of domain appearances were citation-only, with no explicit brand mention.
3. Build "Entity-Anchored" Pages Instead of Generic Guides
Here's an underused move. Don't title everything generically.
Instead of: "Best SEO tools", build something with explicit entities and relationships:
"Semrush vs Ahrefs vs Surfer for AI SEO"
or:
"AI SEO Tools for Shopify: Semrush, Ahrefs, Surfer & AI Visibility Platforms"
Why? Because AI retrieval isn't only matching topics. It is trying to satisfy specific information needs involving entities, attributes and relationships.
Ahrefs' recent RAG research found that specialized pages can perform well on specific fan-out angles, and recommends anchoring content to the entities represented in those underlying queries.
(Legacy Model: keyword → 2,000 words → publish)
4. Reclaim the Pages AI Already Uses About You
Here's the uncomfortable part: You don't control the page ChatGPT cites.
Your brand might be mentioned, while the AI cites Reddit, G2, Forbes, YouTube, or a third-party comparison site instead of your own website. Semrush specifically documents this pattern: AI can mention a brand while citing a third-party source instead of the brand's own domain.
So don't only ask: "How do I get my website cited?"
Ask: "Why is this third-party page considered better evidence about my brand than my own page?"
Investigate the missing evidence. Maybe the third-party page contains:
- A head-to-head comparison
- Transparent pricing data
- First-hand testing results
- Unvarnished customer feedback
- Specific technical product details
- A concise definition or updated 2026 data
Build that information on your own site, then pursue legitimate ways for external sources to reference your updated evidence.
5. Create the Page AI Wishes Existed
Don't ask: "What article should I write?"
Ask: "What information is missing from the current web?"
Suppose an AI answer repeatedly cites five generic articles. You inspect them. They all say X is important, Y is useful, Z is changing. But none contains:
- Actual benchmark data
- Original empirical testing
- 2026 pricing/feature comparisons
- Specific code/implementation details
Build the missing evidence. This is information-gap engineering.
The Extra-Ordinary AI Citation Workflow
- Start with a real AI prompt
- Extract likely fan-out sub-questions
- Record who gets mentioned and cited
- Identify your citation gap
- Map the entities behind the fan-out
- Find what existing sources don't adequately answer
- Publish the missing evidence
- Build the page around the exact information need
- Re-test the prompt
This is much more actionable than "Add keywords, write great content and build backlinks." Those things still matter as a foundation, but the opportunity in AI SEO is learning to optimize for the information retrieval process behind the answer.
Frequently Asked Questions
What is query fan-out in AI search?
Query fan-out is a technique used by AI search engines like Google AI Mode and ChatGPT where a complex prompt is decomposed into multiple sub-queries to retrieve diverse source documents before synthesizing the final response.
What is a citation gap in AI SEO?
A citation gap measures which external sources and competitor URLs are cited by LLMs for a prompt set where your domain is absent, revealing where the AI retrieves its evidence.
Why does AI cite third-party sites like Reddit or G2 instead of brand sites?
AI retrieval engines favor third-party platforms when they offer unvarnished comparisons, real user feedback, pricing details, or structured consensus data that the official brand site lacks.
Ready to master AI retrieval mechanics and Generative Engine Optimization? Explore our free 5-module AI SEO Course curriculum today →
