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SEO / GEO / AEO6 min read·Not a case study — a common situation, and the shape of how we'd approach it

Getting Cited in AI Answers for Category Queries

Traditional search rankings look healthy, but when someone asks ChatGPT, Perplexity, or Google AI Mode a question in your category, competitors get named and your business doesn't — even ones that rank below you in classic search. This is a distinct problem from ranking, because AI answer engines select and cite sources using different signals than the ten-blue-links algorithm: passage-level clarity, entity recognition, and third-party corroboration matter more than backlink volume alone. A business can be the technically correct answer to a query and still never get cited, simply because its content isn't structured in a form an AI system can confidently extract and attribute. Fixing this requires treating AI citability as its own discipline — restructuring content, strengthening entity signals, and building the kind of external corroboration that gives an AI system confidence to name you specifically.

Does This Sound Familiar?

Your business ranks on page one for category-defining queries, but a manual check of ChatGPT or Perplexity for the same questions never surfaces you as a named source.
Competitors with objectively weaker content or fewer backlinks are the ones AI tools cite by name in your category.
You have strong topical content, but it's written in dense paragraphs rather than clear, extractable, self-contained statements.
There's little to no mention of your brand or expertise on third-party sites, forums, or platforms outside your own website.

How This Actually Works

5-stage approach

  1. 1

    Baseline the current citation gap

    Manually query ChatGPT, Perplexity, and Google AI Mode for the specific questions your category's buyers actually ask, and record which sources get cited and how often your brand appears versus specific competitors.

  2. 2

    Audit entity clarity

    Assess whether your organization, expertise, and authorship are clearly and consistently identifiable across your site and structured data — AI systems weight source credibility signals heavily when deciding who to cite by name.

  3. 3

    Rebuild passages for extraction

    Rewrite the specific sections answering high-value questions into self-contained, quotable passages near the top of the relevant page, rather than answers buried inside longer narrative content.

  4. 4

    Build third-party corroboration

    Pursue mentions on the platforms AI systems weight most heavily as corroborating sources for their category — this varies by AI system, but community and reference-style platforms consistently outweigh raw backlink volume.

  5. 5

    Re-test and iterate

    Re-run the same baseline queries on a regular cadence, since AI citation behavior shifts as these systems update, and track which specific changes moved the needle on which platform.

What Changes

Before
After
AI citation performance untracked — success measured only by traditional keyword rank.
AI citation appearance tracked directly by querying AI systems for real category questions on a set cadence.
Category expertise stated once, in general terms, on an About or Services page.
Category expertise reinforced consistently across content, structured data, and third-party mentions.
Backlink building treated as the primary off-site authority lever.
Third-party brand mentions on AI-weighted platforms treated as an equally important, distinct lever.
Long-form content written for narrative flow rather than extractability.
Key answers restructured as self-contained passages an AI system can lift and cite directly.

Part Of

SEO / GEO / AEO

Findable in Google. Cited by AI. Chosen by buyers.

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Frequently Asked Questions

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