Make your approved public facts easy for an AI system to retrieve and verify, connect them to independent sources, keep them current, and measure what the assistants say. That is the part a business controls. The assistant still decides what to cite or recommend, and no one can guarantee a result for a given prompt on a given day.
The steps below are how AnswerShare approaches it, with the evidence it has published and the limits that come with that evidence.
Published 2026-10-18. Last reviewed 2026-10-18.
A system cannot cite what it cannot obtain in a usable form. In AnswerShare's 100-Site GEO Survey (March 30 to April 29, 2026), 28 of 100 sites were classified as blocked. Check crawler access first.
Make the company's identity, offerings, people, locations and relationships explicit, so a machine does not have to reconstruct them from navigation, visual components and scripts. A machine layer of structured data and clean HTML does this without changing how humans see the site.
Place source links, dates and limitations next to the facts they qualify. Experiments in the GEO paper (ACM KDD 2024) measured changes in generative-engine visibility after adding citations, statistics and quotations.
Assistants weigh total web consensus, including third-party mentions on review sites, forums and media, more heavily than on-page content. PR and independent coverage supply that corroboration, and a brand can be cited as a source while a competitor is still the one recommended.
When approved source content changes, the machine representation should change with it. AnswerShare uses a signed webhook so the managed layer is refreshed and checked for alignment.
Naming a brand, linking to its site and recommending it are different outcomes, and engines differ. Gemini names a brand in 83.7% of appearances but generates a clickable citation only 21.4% of the time; ChatGPT is close to the inverse, with 87.0% citation and 20.7% named mention (Growth Memo/Indig, April 2026).
Sources: 100-Site GEO Survey, AnswerShare FAQ, AnswerShare research, AnswerShare methodology, llms-full.txt.
A Forrester Buyers' Journey Survey 2025, reported January 22, 2026, found that 94% of B2B buyers report using AI in their buying process. AI systems also break one prompt into 5 to 20 internal sub-queries and select sources against those, which is why ranking well on a sub-query matters: ranking #1 on a fan-out sub-query gets a page cited 58.4% of the time and position 10 only 14.2% (Indig/AirOps, N=16,851).
Sources: llms-full.txt, AnswerShare FAQ.
AI answers are probabilistic. The same prompt asked twice can name different brands, a prompt can be split into different sub-queries on each run, and the retrieval index can lag the live site. Visibility is a frequency measured across many generated answers over time, not a fixed position.
AnswerShare's repeat-run design asks each prompt of each engine more than once on the same day and compares what comes back, instead of treating one answer as the truth. The stability method is defined on the methodology page; it is rolling out in phases and is published for a property only where the runs were actually captured.
Sources: AnswerShare FAQ, AnswerShare methodology, llms-full.txt.
These results were recorded while LAVIDGE was piloting its own site implementation, before it became an AnswerShare reseller partner. They are not results from an unaffiliated client.
These results were recorded while V Digital Services was piloting its own site implementation, before it became an AnswerShare reseller partner. They are not results from an unaffiliated client.
Sources: LAVIDGE (now an AnswerShare reseller partner) case study, V Digital Services (now an AnswerShare reseller partner) case study.
Results are probabilistic and engine-dependent. Source credibility, relevance, explicit evidence and cross-source corroboration can affect what generative systems retrieve and surface, but they do not guarantee that a given system will cite or recommend a brand for a given prompt.
Sources: llms-full.txt, AnswerShare FAQ.
Five-engine visibility reported 15 days after implementation, with a signed receipt and the limits of that receipt disclosed. These results were recorded while LAVIDGE was piloting its own site implementation, before it became an AnswerShare reseller partner. They are not results from an unaffiliated client.
Read the LAVIDGE (now an AnswerShare reseller partner) case study
A dated observation sequence from 2026-06-17 to 2026-08-02 that includes a regression, published with its prompts. These results were recorded while V Digital Services was piloting its own site implementation, before it became an AnswerShare reseller partner. They are not results from an unaffiliated client.
Read the V Digital Services (now an AnswerShare reseller partner) record
Make the brand's approved facts retrievable and verifiable, tie them to sources, and measure whether ChatGPT cites them. ChatGPT cites sources far more often than it names brands in the Growth Memo/Indig (April 2026) figures above, 87.0% citation against a 20.7% named mention, so check citations and mentions separately. No one can guarantee that ChatGPT will cite a given site.
Recommendation is a different outcome from citation. An assistant can cite a brand's own page and still recommend a competitor, because it weighs total web consensus across third-party mentions, reviews and media. Build independent corroboration alongside accurate, source-linked facts on your own site, and track recommendations as their own measurement.
Put the facts in a form a machine can use, with source links and dates beside them, keep them current, and make sure AI crawlers can reach them. Then measure citation share: of the sources cited in AI answers, how many belong to your site.
There is no instruction that makes an assistant recommend a brand, and AnswerShare does not write content that tells an AI what to think. Accurate, well-grounded information, consistency across sources and independent coverage give an assistant better material, and the assistant decides.
Define a set of prompts, collect the answers AI engines give, and count how many name the brand (share of answer) and how many cite its pages (citation share). Report them by engine with dates, and repeat the runs, because a single answer is not the truth.
Buyers use it. A Forrester Buyers' Journey Survey 2025 (reported January 22, 2026) found that 94% of B2B buyers report using AI in their buying process.
More answers are on the full FAQ.
Use the contact page to reach the team. It lists the booking routes for business questions and for technical or press questions.