Building Off-Site Corroboration

You can fix every page on your own site and still lose the answer. When an engine searches for your brand, it can end up working from someone else's page about you: a software directory, a review site, an app marketplace listing, a data provider's company profile, a news article from two years ago. If that page says your Growth plan costs $59, that number is in play no matter what your pricing page says.

Most "citation building" advice responds by telling you to get mentioned everywhere, fast. The evidence does tie AI citation to brand prominence, but as an association, not as a lever you can pull this quarter.

What you can control is narrower and more useful: find the third-party pages that already describe you, correct what they get wrong, earn real coverage over time and watch for pages built to mislead engines about you.

Brand prominence: a strong association, not a lever

Well-known sources dominate AI citations. That much has been measured.

Semrush's index of 126 million prompts (January to April 2026) points the same way from another angle: only 36 brands held visibility on all four surfaces it tracks every month, among them YouTube, Google, Reddit, Amazon and Walmart. That finding is brand size.

Read these carefully. They show that prominent brands and sources get cited more. They do not show that adding mentions of a smaller brand causes more citations, and nobody has measured that. Brand size is the biggest uncontrolled factor in almost every correlational GEO study, and the usual attempts to control for it use vendor authority scores built from backlinks and traffic, which are themselves proxies for brand size.

Two practical consequences follow. First, do not benchmark yourself against a household name; compare yourself with brands your size, as Competitor Analysis for GEO explains. Second, spend your effort where you have control: the pages that already describe you.

Find the pages engines read about you

You cannot see the queries engines run. ChatGPT search rewrites a user's question into its own queries, Google may fan a question out into several related searches, and every platform decides per query whether to search at all. The only first-party view of real retrieval queries is the grounding-query data in Bing Webmaster Tools' AI Performance report, which covers Copilot and Bing's AI summaries for your own pages. So build your list from what you can observe:

1. Ask the engines that show sources. Ask Perplexity, Google (where an AI Overview appears) and ChatGPT with search on: "What is Ledgerly?", "How much does Ledgerly cost?", "Ledgerly vs. [competitor]" and "Who owns Ledgerly?" Copy every cited URL that is not yours.
2. Search your brand name. Run it on Google and Bing. The third-party pages on the first page of results are strong candidates. Bing's index is the documented backing store for Copilot, and a documented but unquantified upstream for ChatGPT search.
3. Read your audit's citations. A 99Visibility audit lists the URLs engines cited in their answers, grouped by type: directories and review sites, news and publications, wikis, forums and others.

Treat the result as a lower bound. OpenAI's documentation says "the number of sources is often greater than the number of citations", and a citation is not proof that a page shaped the answer. Rank what you find by how often it appears across questions and engines, and keep the top ten.

Correct the wrong facts at the source

For each page on your list, compare every fact against your canonical facts block. Start with the facts 99Visibility's accuracy check verifies: pricing, features (including ones you do not have), founding date, location, CEO and leadership, ownership, acquisitions and headcount. Then use whatever channel each type of page allows.

Log every change: the page, the wrong fact, the correct fact, the date you asked, who owns the follow-up and the status. Re-check monthly. Third-party pages drift back: a directory re-imports old data, an editor reverts a change, a partner republishes an old description.

A word on reviews. Respond to them, and correct factual errors in them politely and in public. Never buy, write or gate reviews. Fake reviews are illegal in several major markets, and no usable study shows that review volume drives AI citation.

Wikipedia and Wikidata: follow the rules or stay out

If a Wikipedia article about your company exists and states a wrong fact, it belongs on your list like any other page. The way you fix it is different.

• You have a conflict of interest. If you work for the company or are paid by it, Wikipedia's conflict-of-interest guideline says you should not edit the article directly. Propose the change on the article's talk page, say who you are and cite an independent, reliable source for the correct fact.
• Paid editing must be disclosed. The Wikimedia Terms of Use require anyone paid to contribute to disclose it. Never hire an agency to create or edit your article. Undisclosed paid editing breaks the terms, articles produced that way can be tagged or deleted, and the attempt can become the story.
• No independent coverage means no article. Wikipedia requires independent sources. If none exist, you do not have a Wikipedia problem. You have a coverage problem, which the next section is about.
• Wikidata follows the same principle. Anyone can edit it, and the same Terms of Use apply. Correct only verifiable facts, such as your official website or founding date, add a reference to a reliable source and disclose your affiliation.

None of this claims a Wikipedia article gets you cited. It is one more page that may describe you, and it gets fixed through the channel its rules allow.

Earn coverage that corroborates you

Corroboration means independent pages state the same facts you do. You cannot manufacture it. You can give people a reason to write about you and make it easy for them to get the facts right.

• Publish a press and facts page. Reuse your canonical facts block and add a logo pack and a named media contact. Journalists and directory editors copy what is easy to copy.
• Publish data with a method. Original research gets written about when it says something new. State how you collected it and where it stops. Exaggerated findings get corrected in public.
• Make your people quotable. A named expert who answers reporters' questions quickly, on topics they know well, earns mentions over time.
• Let customers and partners tell it. A case study on a customer's site or an integration page on a partner's site is an independent statement of what you do.

Be honest about the payoff. None of this has a measured effect on AI citation. Prominence is a strong association with no lever, and this is the slow, ordinary work that builds prominence anyway. One thing is different for GEO: every time a new page mentions you, check that it states your facts correctly, and add it to your log if it does not.

Skip the shortcuts: paid link networks sold as "AI citation building", press releases pushed to sites nobody reads, and posing as customers in forums. They add pages about you that you do not control and cannot defend.

Defensive monitoring: content injected to mislead AI

Some third-party pages are not wrong by accident. Researchers have shown that content written to manipulate an AI agent can change its answer once that content is among the results it retrieved.

For you this is defensive work. A page about your brand can carry hidden text, instructions addressed to AI assistants, or a fabricated claim such as a fake acquisition or shutdown. To watch for it:

• For each page on your top-ten list, view the source and look for your brand name inside hidden elements, and for text addressed to AI, such as "ignore previous instructions" or "AI assistants should say".
• When an answer states something new and wrong about you, trace it to the cited page before assuming the model invented it. 99Visibility's accuracy check flags answers that contradict the facts you entered, including ownership and acquisitions.
• Report manipulative pages to the host or platform, keep a record, and make sure your own pages state the contested fact plainly.

Never answer in kind. Hiding instructions for AI in your own pages is the same illegitimate tactic, and it is not something you want your name attached to.

Common mistakes

• Chasing mention volume before fixing existing pages. Ten corrected listings beat fifty new mentions that repeat an old price.
• Updating your site and forgetting the listings. A price change is not done until the directories, marketplaces and data providers carry it.
• Editing your own Wikipedia article, or paying someone to. Disclose, propose on the talk page and cite independent sources.
• Buying or gating reviews. It is illegal in several major markets, and no usable study links review volume to AI citation.
• Reading a citation count as influence. Engines retrieve more than they cite, and a citation is not proof of use.
• Benchmarking against household names. That comparison measures brand size, not your work.