How to get your brand cited by AI: the five-pillar checklist

KEY TAKEAWAYS

1. Fix brand entity first: schema, Wikidata, LinkedIn, Google Business Profile. One day, 15% of the score.
2. Pick three narrow, commercial buyer questions. Everything else is aimed at them.
3. Get real, indexed coverage in the publications the engines already cite for those questions.
4. Allow AI crawlers in robots.txt, publish llms.txt, and measure monthly across all three engines.

This is the checklist we run for every brand in the Digital Authority Report, in the order that gives the most movement for the least effort. If you want the reasoning behind the order, read how AI engines choose which brands to name first. Work through it top to bottom.

1. Brand entity (do this first, it takes a day)

Machines need to know you exist and that you are one thing.

• Add Organization schema to your homepage: name, logo, URL, a one-line description, and sameAs links to every official profile.
• Create or claim a Wikidata item. Match the name and description to your schema.
• Make sure your LinkedIn company page and Google Business Profile use the same name, category and description.
• Pick one category label (for example "payroll software for restaurants") and one two-sentence description. Use them everywhere. Do not improve the wording per channel.
• Check that your name is not ambiguous. If it collides with another company, add the category to your public name wherever you can ("Harbor Payroll, restaurant payroll software").

Eight checks, 15% of the score, almost no cost. Most brands fail half of them.

2. Target questions (pick three, not thirty)

Digital authority is won per question. Choose questions that are:

• Asked by your ideal buyer in their own words ("best payroll software for restaurants?", not "restaurant payroll").
• Narrow enough that a focused brand can plausibly be the answer.
• Commercial: the buyer is choosing, not learning.

Write them down. Everything that follows is aimed at these three.

3. Press coverage in the cited sources (the big lever)

For each target question, find out which publications the engines actually retrieve. Ask the question on ChatGPT, Perplexity and Google AI Overviews several times and note every source cited. The same six to ten domains will keep appearing.

Then:

• List the sources you are missing from. That list is your media plan.
• Get real editorial coverage in them. A placement is an article the publication publishes and indexes, written about you or including you in a comparison. Advertorials that are blocked from indexing do not count.
• Use your one category label and one description in every piece.
• Prefer sources that appear for more than one of your target questions.

Aim to be present in roughly half the cited sources for each question. That usually means three to five placements per question, and some will overlap.

4. Search presence (keep it tidy)

• Own page one for your brand name: homepage, LinkedIn, Crunchbase or equivalent, a review profile, your press.
• Publish one strong page per target question on your own site that answers it directly in the first 50 words, then compares options fairly, then links to your coverage.
• Make sure every page has a unique title, a meta description, a canonical URL and Article or WebPage schema.
• Allow AI crawlers in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) and publish an llms.txt that summarises what you do.

5. Organic authority (the ground the other pillars stand on)

Engines find sources through search indexes, so the strength of your domain still decides whether your own pages are retrieved at all. This pillar is measured from third-party data rather than from answers: domain authority (Moz), referring domains and ranking keywords (DataForSEO) and Core Web Vitals (Google PageSpeed), each next to your strongest competitor.

• Earn links from the same publications you are buying coverage in; a placement that links is worth more than one that does not.
• Keep the site fast on mobile: a failing Core Web Vitals score costs you in Google and in every engine that reads Google's index.
• Track referring domains monthly. The gap to the leader is the number that moves slowest, so start early.

6. Measure, monthly, across all three engines

One answer from one engine is an anecdote. The signal is:

• 20 questions (your three targets plus variations).
• Three engines.
• Every answer read and tallied: named or not, position, which sources were cited.

Compare month over month. Expect the AI visibility pillar to wobble a few points between runs. Look for the brand count and position to move, not the exact wording.

The order matters

Brands that skip step one and go straight to coverage waste money: the engine cannot confidently connect the coverage to an entity it cannot verify. Brands that stop at step one get an accurate identity that nobody cites.

Entity, then questions, then coverage in the right sources, then measurement. That sequence is what the Digital Authority Report automates, and the placement marketplace exists so step three is one click rather than three months of pitching.

Questions

How long does it take to see a change?

Entity fixes show up within days. New press coverage usually shows up in AI answers within two to six weeks, once the article is indexed and the engines re-retrieve for the question.

Do I need a Wikipedia article?

It helps, but it is not required and you cannot buy one. A Wikidata item, consistent schema and a LinkedIn page cover most of the entity pillar. Pursue Wikipedia only when you have the independent coverage to meet its notability bar.

Should I write "best X" content on my own site?

Yes, as a secondary move. It helps search presence and gives engines a page that directly addresses the question. It will not get you named on its own, because engines weight independent sources more than your own.

How many placements do I need?

Enough to appear in about half of the cited sources for your target question. For most questions that is three to five publications. Buy the ones already in the citations, not the ones with the biggest audience.

Sources

1. Schema.org, Organization schema.org
2. Wikidata, Introduction wikidata.org
3. Wikipedia, Notability guideline for organizations and companies en.wikipedia.org
4. Google Search Central, Overview of Google crawlers and fetchers developers.google.com
5. OpenAI, Overview of OpenAI crawlers platform.openai.com
6. Anthropic, Does Anthropic crawl data from the web? support.anthropic.com
7. llms.txt specification llmstxt.org

NEXT STEP

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