LLM Visibility III — Winning the Citations You Do Not Own

Why this module exists

Module 3 ended with a finding that reorders budgets, and Module 4 did not act on it: most of the citations grounding answers about you point at properties you do not control. Marlowe & Finch's baseline was 44 of 61.

Nearly every visibility programme in the market spends its entire budget on the other 17. The site work in Module 4 is necessary, it is cheaper to do because you own the estate, and on its own it caps out well below where you need to be — because a model that will not treat a retailer as a neutral source about its own products has to ground the claim somewhere, and it will.

This is the module about somewhere. It is also the one with an ethics boundary in it, because the tactics available here range from ordinary corporate housekeeping to things that will get you fined.

5.1 Sort your sources by controllability, not by channel

Marketing sorts sources by channel — PR, reviews, affiliates, community. That taxonomy is useless here, because it groups things with completely different response times and completely different levers.

Sort by how much control you have over the fact, which is the only variable that determines what you can do this quarter.

Two things fall out of this table immediately.

The claimed ring is the highest-return work almost nobody does. These are pages about your products, containing your data, on domains you do not own — and you have either a login or a commercial relationship for most of them. When your specification page says one thing and four stockists say another, the model resolves the contradiction on volume and consistency, and you frequently lose to the majority version of yourself. That is fixable with a spreadsheet and a fortnight of emails, and it fixes stage 4 of the pipeline in Module 3.

The ambient ring is where the most-cited single source usually lives. Community threads and forum discussion are heavily represented in generative answers because they read as disinterested and specific. You cannot control them. You can correct a factual error, and you can be present under your real name where the platform allows it.

5.2 Correcting a wrong fact about you

This is the highest-return single activity in this module and it is almost never assigned to anyone.

From your Module 3 record, you have the source of every wrong claim. Work it as an operational process, not as a campaign.

Rank by citation frequency, not by how annoying it is. A mildly wrong price on a source cited in nine answers outranks a scathing review cited in one. Your prompt-set data gives you this ranking directly; nothing else does.

Match the route to the ring. A claimed-ring error is an account fix or a contractual conversation. An earned-ring error is an email to an editor with the correct figure and a source. An ambient-ring error is a correction posted under your own name, disclosed, once — and then left alone.

Give them something liftable. A correction that says "this is out of date" does less than one that says "the current price is €189 and the tested wash temperature is 30°C, both confirmed on our specification page." You are not only correcting a human; you are putting a specific, corroborated, more recent statement into the retrieval pool.

Then re-measure. The correction is not the outcome. The outcome is the next prompt-set run showing the error gone. Corrections propagate at the speed of the engine's crawl and index refresh, which is weeks, not hours — so measure at the next scheduled run and not the following morning.

5.3 The entity layer — being someone before being cited

Before a model can attribute a claim to you, it has to be confident that the various things called by your name are one company.

This is the least glamorous work in the module and it is upstream of everything else. Three parts:

Consistent identity facts everywhere. Legal name, trading name, address, founding date, ownership, category. Disagreement across your own properties is common — an About page, a marketplace seller profile and a companies-register entry that give three different founding years is enough to make an engine hedge.

Organization markup with sameAs. From Module 4, and here is why it earns its place: sameAs is how you assert that this site, that social profile, that knowledge-base entry and that marketplace store are the same entity. Without it, they are four entities that share a word.

Public knowledge-base presence, where you legitimately qualify. Wikidata and, where notability standards are met, Wikipedia are disproportionately represented in the corpora these systems were trained on and continue to retrieve from. If you qualify, the entry should exist and should be factually correct.

5.4 Getting cited on purpose

Module 3's evidence is directly actionable here, and it is the rare case where the tactic and the honest thing are the same tactic.

The GEO study found that adding statistics, quotations and citations to sources were among the strongest interventions on generative visibility, and that keyword stuffing was not. Read that as a commissioning brief:

Publish original data. You have information nobody else has: what your customers ask, what they return and why, how a category's sizes actually run, what fails after two years. A retailer that publishes a defensible annual figure — a returns-reason breakdown, a durability finding, a category price index — becomes the thing an answer can cite, because it is the only source of the number.

This is the single highest-leverage move in the module. It is also slow, and it requires you to publish something a competitor can quote.

Make claims quotable. A liftable sentence carries a subject, a number, a unit and a scope: "In 8,400 returns across 2025, 31% of rug returns cited colour mismatch" is liftable. "Colour is a common reason for returns" is not, and no amount of optimisation makes it so.

Be the source that other sources use. The earned ring cites something. If the trade press, the review publications and the category guides in your market are all working from the same three data sources, being the fourth is a durable position — and it is a Module 11 compounding asset rather than a campaign.

Go where the answer is already grounded. Your prompt set names the publications and communities that ground answers in your category. That list is your PR target list, and it will not match the one your agency is working from, because agencies target reach and this targets retrieval.

5.5 The line you do not cross

Everything above is legitimate. Two things adjacent to it are not, and both are enforced.

Undisclosed endorsement. Paying, incentivising or employing someone to recommend you without disclosing the relationship is illegal in most of the markets this course's readers sell in. In the EU it is an unfair commercial practice under the UCPD, and the 2024 Empowering Consumers Directive tightened the surrounding rules further; in the UK it falls under the DMCC Act, in force from 2025, which brought fake and incentivised reviews explicitly into scope with direct enforcement powers and turnover-based penalties; in the US the FTC's 2024 rule on consumer reviews and testimonials bans buying, selling and insider reviews outright.

The agentic-era wrinkle is that this is now cheaper to do at scale and easier to detect at scale, and the enforcement in all three jurisdictions has been moving toward the platform-level detection that finds patterns rather than instances.

Content produced to manipulate retrieval rather than to inform. Mass-generated review-shaped pages, fabricated comparison sites, sock-puppet community accounts. Beyond being fraud in several of the above senses, it is the exact pattern the platforms are building classifiers against, and the downside is asymmetric: the upside is a temporary visibility gain, the downside is being classified as a spam entity by systems whose decisions you cannot appeal.

5.6 Measuring off-site work

The measurement is already built. Module 3's record includes which sources were cited; you have simply been reading it as context rather than as a target list.

Turn it into a citation source register, and maintain it like a supplier list:

Two metrics come off it, and both belong in the Module 6 reporting:

• Owned-citation share — the Module 3 definition. Rising is good, and it will move slowly.
• Error-carrying citations — the count of citations in your set that repeat something false about you. This is the one to drive to zero first, because it is achievable, it is attributable to specific work, and every one of them is costing conversion today.

Exercise — The register and the 90 days

Time: 2 hours. Produces the artefact for this module.

1. Extract every cited source from your latest Module 3 run into one sheet. Do not filter yet.
2. Tag each by ring — owned, claimed, earned, ambient.
3. Count citations per source and sort descending. This ranking is your plan; resist reordering it by preference.
4. Mark what each says about you, using the four values in §5.6. Be honest about negative-and-fair.
5. Assign an owner to every row in the top ten. Rows without an owner do not move, and "marketing" is not an owner.
6. Write the 90-day plan in three lines: every factual error corrected, every claimed-ring listing reconciled against your own data, and one earned-ring relationship cultivated with something worth citing.
7. Set the re-measurement date — the next scheduled prompt-set run, not sooner. Corrections take weeks to propagate.

Self-check

1. Why does site-only visibility work have a ceiling, and roughly where does your own baseline put yours?
2. Which ring is most under-worked in your organisation, and who has the login or the contract for it?
3. A source cited in eight answers says something mildly wrong; a source cited once says something damaging. Which do you fix first, and why?
4. What original data could you publish that nobody else in your category holds?
5. Which of your current tactics would you be uncomfortable seeing disclosed next to the citation?

Further reading

• Aggarwal et al., GEO: Generative Engine Optimization, KDD 2024 — §5.4 is its commissioning brief, read with the Module 3 caveats attached.
• US Federal Trade Commission, Rule on the Use of Consumer Reviews and Testimonials, 2024.
• UK Digital Markets, Competition and Consumers Act 2024, the consumer-protection provisions in force from 2025.
• Wikimedia conflict-of-interest editing guidance — read before anyone in your organisation touches an article.
• Your own citation source register. Like the prompt set, it outranks everything above.