Build a Wikipedia-Adjacent Footprint: The Third-Party Sources AI Assistants Trust When They Describe Your Company

Stop publishing. Start auditing what others say about you.

When a buyer asks ChatGPT, Perplexity or Gemini "what does [your company] do?", the answer is rarely a paraphrase of your homepage. Assistants tend to assemble a description from sources they treat as more neutral than you: structured databases, professional profiles, directories, and editorial mentions. Your own site is one input among many, and often not the heaviest one.

That has a practical consequence most marketing teams miss. If your instinct is to fix weak AI visibility by publishing more blog posts, you are adding to the one source the model already discounts. Our position: for one focused week, stop producing content about yourself and fix what everyone else says about you. It is cheaper, faster to verify, and it compounds.

A caveat before we start: nobody outside the model vendors knows the exact weighting, and it shifts between assistants and versions. What follows is a working hypothesis based on how these systems are known to retrieve and ground answers, not a guarantee. The good news is that the work is low-risk. Consistent, accurate third-party profiles help you with humans, journalists and search engines even if the AI picture changes.

Why third-party and structured sources carry weight

Language models and the retrieval layers on top of them need to decide what is true about an entity: what it is, what it sells, who runs it, where it operates. Structured, edited or cross-referenced sources make that decision easy.

• Structured fields beat prose. A Wikidata item or a Crunchbase profile states founding year, headquarters, category and leadership in labelled fields. That is far easier to extract than a paragraph of brand copy.
• Agreement across sources reads as confidence. If five independent places describe you the same way, a system has little reason to doubt it. If they contradict each other, it hedges or guesses, and the guess is often an outdated description.
• Independence reads as credibility. A description on a source you do not control is treated more like a fact than a claim.

The failure mode this creates is the one founders discover by accident: ask an assistant about your company and get a two-year-old positioning, a wrong category, or a competitor's feature list. That is almost never a content gap on your site. It is an inconsistency or a stale entry somewhere else.

The one-week plan, in order

Do these in sequence. The order matters because each step feeds the next.

Day 1: Write your canonical description and fact sheet

Before touching any profile, produce three things in a single document:

• A one-sentence description in plain language: what you do, for whom. No superlatives, no "leading" or "innovative". If a sceptical analyst could not verify it, cut it.
• A 50-word and a 150-word version that expand the same sentence without changing its meaning or category.
• A fact sheet: legal name, trading name, founding year, headquarters city, founders and current executives with exact titles, number of employees as a range, category, and the 3-5 official URLs (site, LinkedIn, key social profiles).

This document is the source of truth for everything that follows. Most inconsistency in the wild comes from different people writing a fresh description each time they fill in a form. Cost: two to three hours and one decision-maker's sign-off.

Day 2: Crunchbase

Crunchbase is widely used by journalists, analysts and data providers, and its structured fields are scraped and re-published elsewhere, so an error here propagates. Claim or create your organisation profile, then complete every field you can truthfully fill: description (use your canonical 50- or 150-word version), categories, headquarters, founding date, founders, leadership, funding rounds if applicable, and links. Make sure the person-level profiles for founders and executives link to the organisation. Expect an hour or two, plus waiting time if edits are reviewed. Check the paid tier only if you need contact data for other reasons; basic profile editing is what matters here.

Day 3: Wikidata, carefully

Wikidata is the structured knowledge base behind much of what is called the knowledge graph on the open web. Two honest warnings. First, it has notability expectations: an item generally needs to be supported by references to reliable, independent sources, and unreferenced promotional items get deleted. Second, you should not edit your own entry in a way that looks like promotion; disclose your connection and stick to verifiable facts with citations.

So the sequence is: search for an existing item for your company or founder. If it exists, check that label, description, instance-of, country, official website and inception date are correct and referenced, and fix what is wrong with citations. If it does not exist and you have real independent coverage (trade press, a recognised directory, an official registry), you can create a minimal, well-referenced item. If you have no independent coverage yet, skip creation and come back after Day 5. Forcing it wastes time and risks a deletion record. Do not attempt a Wikipedia article for a young company without substantial independent coverage; it is the wrong tool at this stage.

Day 4: LinkedIn, for the company and for the people

The company page is the obvious part: align the tagline, About section and specialties with your canonical description, and confirm the website, industry and size fields. The part teams underuse is the executives' own profiles. For many B2B questions an assistant will describe the company through its founder or CEO, so the headline and About section of those individuals should state the same category and the same claim about what the company does. Mismatched titles and an old employer in the headline are common sources of wrong answers. Cost: two hours total, mostly coordination with the executives.

Day 5: Trade directories and registries

Pick the three to five directories that matter in your sector, not fifty. Examples depend on your market: software review and category sites for SaaS, industry association member lists, chamber of commerce listings, official company registries, and recognised awards or index lists. For each, claim the listing, replace any auto-generated description with your canonical one, and make name, address, URL and category identical to your fact sheet. Registries and association pages are especially valuable because they are authoritative and rarely changed, which makes them stable anchors. Paid listings are optional; free claimed profiles do most of the work.

Days 6-7: Secure two or three consistent descriptions in editorial places

Structured profiles establish the facts; editorial mentions establish that someone independent repeats them. You do not need dozens. Aim for two or three placements where a third party describes your company in language close to your canonical sentence. Realistic routes:

• A contributed article or interview in a trade publication your buyers read, where the bio line and the company descriptor match your fact sheet.
• A podcast or webinar guest appearance whose show notes carry your description and link.
• An industry report, roundup or partner page that names you with the right category.

Give the journalist or host your exact one-sentence description and fact sheet in advance. Do not demand verbatim wording, but make the accurate version the easy one to copy. Be aware that this step takes weeks to land, not days; the week's job is to start the outreach and get the first piece scheduled.

What to measure, and how to know it worked

Do not wait for ranking changes; test the output directly. Before you start, ask the major assistants the same five questions and save the answers: what does the company do, who founded it, what category is it in, who are its competitors, would you recommend it for [use case]. Run the identical prompts four to six weeks later. You are looking for fewer factual errors, a description closer to your canonical sentence, and the right category. Treat it as a directional check, not a precise metric: answers vary between runs and between tools, so repeat each prompt a few times and look at the pattern.

Also watch for downstream signals that matter regardless of AI: fewer sales calls that begin with a correction, and journalists quoting your description accurately.

What not to do

• Do not write ten more blog posts first. If the structured sources are wrong, new content on your own domain will not override them.
• Do not use different descriptions for different channels. Tailor the length, never the claim or the category.
• Do not buy a Wikipedia page or a Wikidata "service". Unreferenced or paid-for edits get reverted and can damage how you are perceived by the editors and by anyone checking.
• Do not claim superlatives you cannot source. "The leading provider" is a flag for editors and a reason for models to ignore the phrase.
• Do not set and forget. Put a 15-minute quarterly check in the calendar to re-verify the fact sheet against each profile, especially after a rebrand, funding round or leadership change.

The decision rule

If an assistant gets your company wrong, assume the cause is an inconsistent or stale third-party source before you assume it is a content shortage. Fix the sources the models lean on, make them agree with each other, and then earn a few independent mentions that repeat the same sentence. That is a week of focused work and very little money, and it addresses the problem at the layer where it usually originates.