Generative Engine Optimization for Research Brands

What GEO Is, and What It Is Not

GEO sits on top of SEO rather than replacing it. Most AI assistants answer from a search index, their own or one they license, plus pages they fetch when a question needs fresh information. A site that is hard to crawl, slow, or vague about what it sells is hard for them too. Good AI search visibility starts with the same crawlable, well-structured catalog described on our SEO page.

What GEO is not: a way to insert a brand into a model's answers. No agency has that lever, and anyone selling guaranteed AI placement is selling nothing. What can be done is to remove every reason a tool would misread, skip or misquote the business, and give it accurate, specific material worth citing.

One Set of Business Facts, Everywhere

AI tools build their picture of a business from many sources at once: the site, its structured data, directories, marketplaces, social profiles and mentions on other sites. When those disagree on the name, contact details, what is sold or who operates it, the tool either hedges or picks the wrong version.

So the first job is an inventory: every place the business appears, and whether each one says the same thing. We fix the site's own facts first, including the Organization structured data, then the profiles and listings you control. On this site the name, support email, phone number and parent company are defined in one file and used everywhere, including the Organization markup, so they can't drift apart.

llms.txt and llms-full.txt

llms.txt is a plain text file at the root of a site that tells AI tools what the business is and which pages matter, in a format they can read without rendering a page. This site publishes llms.txt, which lists every service, guide, compound class and product page, and llms-full.txt with the full text of every service, product with its laboratory reports, and guide in one file.

Both are generated from the same data as the pages, so they update when the site does and never contradict it. It is a young convention: some tools read these files and some don't. It costs little to add and nothing if it is ignored, which is why we treat it as one part of the job rather than the whole of it.

Letting AI Crawlers In

Many sites block AI crawlers by default, often through a security setting nobody chose on purpose. If the goal is to be cited, they have to be allowed. Our robots.txt allows all crawlers, closes only the API, and names the AI user agents one by one so the intent is explicit and survives a later rule change:

• OpenAI: GPTBot, OAI-SearchBot and ChatGPT-User
• Anthropic: ClaudeBot, Claude-SearchBot and Claude-User
• Perplexity: PerplexityBot and Perplexity-User
• Google-Extended and Applebot-Extended, which are controls over how Google and Apple may use pages for their AI models rather than separate crawlers; Google Search and AI Overviews still rely on Googlebot
• Others: Bingbot, meta-externalagent, Amazonbot, DuckAssistBot, MistralAI-User and CCBot

Fact-Dense Pages With Sources

AI answers lean on pages that state specific, checkable facts in plain text: what a compound is, its identifiers, the sizes offered, which report covers which size, how ordering works. Facts buried in images, PDFs with no text layer, or marketing paragraphs with no information in them give a tool nothing to quote.

The strongest material on a research-supply site is documentation. A published report number, laboratory and date is a fact a model can repeat accurately. On this site, research pages go further: every finding is taken from a cited paper's abstract, names the model studied, whether cells, animals or a review, and links the PubMed record. The research index publishes the record counts behind them. Nothing is uncited and nothing is overstated, which is also what keeps it compliant.

Third-Party Mentions

Assistants weigh what other sites say about a business, not only what the business says about itself. Accurate listings in the directories and industry resources where the business genuinely belongs, and mentions earned by publishing material worth referencing, both count.

We don't buy links, write fake reviews or seed forums with posts pretending to be customers. Those tactics break search engine and platform rules, and in a research-use-only category they invite exactly the scrutiny you are trying to avoid. Every listing we create states what the business is accurately and in the same words as the site.

Bing, IndexNow and Fresh Pages

Bing's index feeds Microsoft Copilot and is used by other assistants that answer from the web, so a page Bing hasn't seen can be missing from those answers. We verify the site in Bing Webmaster Tools and set up IndexNow, a protocol that tells Bing and other participating engines the moment a page is added or changed.

This site serves its IndexNow key file, and one command after a production deploy submits either every URL in the sitemap or only the paths that changed. Its English and Spanish pages point at each other through hreflang tags, so each language version is read as a translation rather than a duplicate.

Measuring AI Referrals Honestly

There is no Search Console for AI answers yet. What can be measured: visits referred by AI tools that pass a referrer, which shows up in analytics as traffic from those domains; inquiries that arrive from those visits; and crawler activity in server logs. What can be checked by hand: asking the main assistants the questions buyers ask and recording whether and how the business is described.

We report both, and we say what they can't show. Many AI-assisted visits arrive with no referrer and look like direct traffic, answers vary from one session to the next, and the tools change how they source answers often. A single screenshot of a mention proves little; a consistent record over months is more useful. We will never report an AI mention as guaranteed or permanent.