# How ChatGPT and Perplexity Choose B2B Brands and Agencies to Recommend ![How ChatGPT and Perplexity Choose B2B Brands and Agencies to Recommend - Extrimify](https://cdn.hashnode.com/uploads/gql/6adda42f6bd87bcb27d83ea3/92e973cd-4f6a-4bac-9fcc-15f99790cd1e.png) > **Answer capsule:** ChatGPT and Perplexity do not select B2B agencies through one public formula or magic score. Improve your chances by making your expertise specific, publishing evidence that buyers can verify, keeping company information consistent, and checking real buying questions each week for visibility, citations, recommendations, and qualified inquiries. ## How do ChatGPT and Perplexity decide which B2B agencies to recommend? There is no single public rule that guarantees a brand will appear in an answer. AI systems may draw on information available online, sources found during search, and the context of the question. Treat a recommendation as the outcome of several reinforcing signals: the system can understand what you do, the claims have credible support, and your material directly addresses the buyer's need. A buyer may ask which agency understands GEO, which provider works with B2B companies in Israel, or who connects LinkedIn activity to a more systematic go-to-market process. A broad claim such as “growth solutions for every business” does not help a buyer or a system determine fit. A clear description of your audience, problem, approach, and evidence is more useful. See how decisions about positioning and execution connect in [Extrimify's method](https://extrimify.com/en/method). It is essential to distinguish a brand mention from a recommendation. According to Being Visible in AI Search Doesn't Mean Being Recommended (2026), at least one brand appeared in 97 percent of the answers analyzed, while a brand was directly recommended in 47.6 percent. This is a finding from a particular analysis, not a forecast for any one company. It shows why counting mentions alone can give an incomplete picture. ## What should a B2B operator decide first, and what can be ignored? The first decision is not which new tool to buy. Decide which valuable commercial question you want to be a relevant answer for. Define a specific audience, a business problem worth solving, and expertise you can substantiate. For example, focus on Israeli B2B founders seeking to turn LinkedIn and AI-search visibility into sales conversations, rather than “any company that needs marketing.” Then write down the questions a buyer will ask: how do I choose an agency, what is the difference between diagnosis and implementation, how long does each phase take, and how will progress be measured? Be precise about timeframes. A Strategic Diagnosis takes 2 to 4 weeks, while BOOST takes 4 to 8 weeks. These are service durations, not universal outcome guarantees; scope and available evidence shape the work. Ignore the urge to chase a single AI visibility score, publish many near-identical pages, or constantly change your website to “please the algorithm.” Not every mention becomes a lead, and a wording tweak does not guarantee a recommendation. Instead, make it easy for a buyer to understand why your claims are credible. If your audience, message, or priorities are still unclear, begin with a [Strategic Diagnosis](https://extrimify.com/en/strategic-diagnosis). ## What signals make a B2B brand easier to understand and cite? Buyers and AI systems both need information they can understand and verify. Explain what the service does, who it is for, which problems it addresses, how the work proceeds, and what evidence supports your claims. A useful case study separates the starting context, work performed, time period, and measured result. Do not claim that your work caused an outcome unless the evidence supports that conclusion. Consistency matters across your website, LinkedIn profile, articles, and relevant professional mentions. Use a coherent company name, description, service focus, and explanation of your method. External sources can add context, but chasing every possible mention is not a strategy. Prefer useful, relevant material that explains a subject with definitions, examples, and clear limits. According to What gets B2B brands cited in genAI answers (2026), a B2B-focused analysis reported average AI visibility of 25 percent for domains among the top ten cited domains, compared with 7.6 percent for domains outside that group. This describes one analysis, not a universal benchmark or guaranteed target. It does suggest that teams should investigate which sources and content recur in answers to questions relevant to their category. Use readable information architecture: headings that describe actual questions, paragraphs that answer them, and terms that are clearly defined. Do not create pages solely for a machine. If a page does not help a person make a better supplier decision, it is unlikely to build durable trust even if it gets a temporary appearance. ## What should you do this week to connect AI visibility with pipeline? Follow a simple weekly sequence and map it to the [GEO Checker](https://extrimify.com/en/geo-checker) to establish a baseline and identify which questions deserve attention: - **Monday: choose the questions.** Write five precise buying questions in customer language, including “How do I choose a B2B agency?” and “Who helps B2B companies with GEO and LinkedIn?” - **Tuesday: record the baseline.** Run those questions in ChatGPT and Perplexity. Save the date, exact prompt, brands mentioned, brands explicitly recommended, and cited sources. Do not draw a conclusion from one answer. - **Wednesday: improve one page.** Clarify who the service is for, the process, available evidence, and next step. Connect [LinkedIn B2B](https://extrimify.com/en/linkedin-b2b) to the value proposition on your site instead of treating the channels as unrelated. - **Thursday: publish a useful asset.** Answer one relevant question in depth, include a real example, and explain what the example does and does not prove. - **Friday: distribute and review.** Share the insight through relevant profiles, note responses, and repeat the same checks. Compare observations, not impressions. This sequence prevents a team from producing content without knowing which buyer decision it should support. If the underlying message or execution system needs broader work, [BOOST](https://extrimify.com/en/boost) connects a focused plan with implementation over 4 to 8 weeks. Match the work to the diagnosis and the team's capacity instead of assuming every company needs the same activities. ## How can you verify progress within seven days? Set a baseline before changing anything and repeat the same check a week later. Track at least three kinds of metrics: visibility, answer quality, and commercial behavior. For visibility, record how many of your defined questions include your company and how many explicitly recommend it. For quality, check whether the description is accurate, the cited sources are relevant, and the answer reflects the expertise you want to be known for. For commercial behavior, track clicks, conversations, or inquiries that mention AI or the material a prospect encountered. Keep the comparison as consistent as possible: same prompts, tool, language, region, and date notes. Answers can vary, so a small sample over seven days is an early signal, not causal proof. If there is little traffic, do not attribute a change in inquiries to AI alone. Also review LinkedIn activity, organic visits, sales conversations, and the lead source as described by the prospect. A simple tracking sheet can include question, tool, mention, recommendation, citation, message accuracy, clicks, and inquiries. At the end of the week, choose one action based on the biggest gap. If there is no mention, improve clarity and accessibility. If the description is wrong, correct the supporting information and claims. If there is a recommendation but no inquiry, examine audience fit, the offer, and the next step. Measurement should lead to a decision, not just a report. ## How do diagnosis, BOOST, LinkedIn, and GEO connect to business outcomes? GEO does not replace positioning, useful content, or sales. Diagnosis helps identify what is obstructing the message and pipeline, and which audience should come first. Those findings can become practical work: improve service and evidence pages, use LinkedIn to distribute a credible point of view, and check whether AI answers represent the company accurately. A Strategic Diagnosis takes 2 to 4 weeks and can help establish priorities. BOOST takes 4 to 8 weeks and connects a plan with implementation where appropriate. [LinkedIn B2B](https://extrimify.com/en/linkedin-b2b) helps reach relevant people and communities, while GEO content provides context and explanations that may be cited. These are complementary parts of a system, not separate magic channels. Review [results and examples](https://extrimify.com/en/results) to see how process and measurement can work together. Then define what success means for your company: a qualified meeting, a conversation with a target account, a request for a proposal, or improved opportunity quality. To discuss a next step, [contact Extrimify](https://extrimify.com/en/contact). The aim is not to promise that a specific engine will recommend you. It is to improve clarity, credibility, and your ability to learn from evidence. ## Is there one AI visibility score that tells you whether you are visible? Do not rely on a single score. Different tools can surface different answers and sources, and different prompts can produce different shortlists. One answer or screenshot does not represent every buyer. Look for patterns over time across several high-intent questions, and check whether the brand appears with an accurate description and a relevant source. A useful distinction is visibility, recommendation, and business impact. Visibility asks whether you appeared. Recommendation asks whether you were presented as a suitable option. Business impact asks whether the exposure helped create a conversation or opportunity. These measures are related but not interchangeable. Record each separately and keep expectations realistic while the team improves the fundamentals. ## What should a B2B team remember after its first week? By the end of the week, aim to have five repeatable questions, a documented baseline, one improved page, and one insight about the gap between mentions and recommendations. If results do not change immediately, that is not automatically failure. Check whether the planned work was completed, the information is clear, and the comparison is consistent. If visibility rises but the leads are a poor fit, revisit the audience definition rather than simply pursuing more exposure. This discipline matters for Israeli companies operating across languages and markets. Localize pages carefully, avoid mechanically translating claims, and make sure the evidence fits the audience. Progress is not merely appearing more often. It is a stronger match between what the company actually does, what AI systems communicate, and what a prospective customer needs to move forward. A useful weekly review ends with one owner and one next action. For example, if a cited source describes an outdated service, assign someone to update the relevant page and confirm that the same description appears on LinkedIn. If the answer is accurate but competitors are described more specifically, improve your own evidence and differentiation rather than copying their wording. If an answer does not cite your site, ask whether the page offers original information, a clear explanation, and an accessible route to the answer. Keep a record of what changed and why. This makes it possible to learn from several weeks of observations without confusing correlation with causation. The operational goal is a reliable cycle: define buyer questions, inspect answers, strengthen proof, distribute expertise, and review qualified demand. This creates a more useful system than publishing indiscriminately or treating AI mentions as the end goal. Where the evidence is not yet strong, state that honestly and build it before making bigger claims. For a small B2B team, the sequence can remain deliberately modest. One well-supported page and one clear answer to a buyer question are more actionable than a large backlog of vague content. Keep the buyer's decision at the center, review whether your sales team can use the same explanations, and update the measurement plan as real questions emerge. That is how AI visibility work can support a broader go-to-market system without becoming a detached technical experiment. --- ### FAQ #### How do ChatGPT and Perplexity choose which B2B companies to recommend? There is no single public formula. Systems may use online information and sources found during search, so make your expertise clear, keep information consistent, answer useful questions, and provide verifiable evidence. #### What is the difference between a brand mention and a recommendation? A mention means the brand appears in an answer. A recommendation presents it as a suitable option. Track both separately and check whether exposure leads to a conversation or opportunity. #### What should a B2B team do this week to improve AI visibility? Choose five buying questions, record answers and citations in ChatGPT and Perplexity, improve one page, and publish useful information. Repeat the checks after a week under similar conditions. #### How can you measure whether AI visibility generates leads? Track mentions, recommendations, citations, clicks, and inquiries that reference AI or content they saw. Compare the same prompts and tools, and do not attribute inquiry changes to AI alone. --- *- Full article on Extrimify -* Read the original article on Extrimify: [https://extrimify.com/en/blog/how-chatgpt-and-perplexity-select-b2b-agencies](https://extrimify.com/en/blog/how-chatgpt-and-perplexity-select-b2b-agencies) #### Extrimify B2B growth services: - [Strategic marketing diagnosis](https://extrimify.com/en/strategic-diagnosis?utm_source=authority_mirror&utm_medium=syndication&utm_campaign=blog_how-chatgpt-and-perplexity-select-b2b-agencies&utm_content=en) - [Boost - full-funnel marketing system](https://extrimify.com/en/boost?utm_source=authority_mirror&utm_medium=syndication&utm_campaign=blog_how-chatgpt-and-perplexity-select-b2b-agencies&utm_content=en) - [LinkedIn B2B - automated executive outreach](https://extrimify.com/en/linkedin-b2b?utm_source=authority_mirror&utm_medium=syndication&utm_campaign=blog_how-chatgpt-and-perplexity-select-b2b-agencies&utm_content=en)