# 4 AI Engines, 4 Different Shortlists: We Asked Them the Same Question **URL:** https://organikpi.com/blog/geo-ai-search/ai-engines-different-recommendations/ **Published:** 2026-07-13 **Modified:** 2026-07-13 **Author:** Daniel Shashko > OrganikPI asked ChatGPT, Google Gemini, Perplexity, and Google's AI Overview the same two buying questions in July 2026: the best CRM and the best email marketing platform for a small business. The four engines returned four different shortlists. For CRM, only HubSpot, Pipedrive, and Zoho appeared on all four lists, and Gemini left out Salesforce entirely. For email, only Mailchimp and Brevo were universal, and Google's AI Overview alone named Klaviyo and ConvertKit while dropping MailerLite. Each engine also cited different sources, from niche vendor blogs to comparison sites. The takeaway: being recommended by one AI engine does not mean you are recommended by the others, so brands need to track AI visibility per engine and earn citations in the specific pages each engine pulls from. The context is a fracturing market, with ChatGPT slipping below 50 percent of AI assistant usage in June 2026. --- > OrganikPI asked ChatGPT, Google Gemini, Perplexity, and Google's AI Overview the same two buying questions in July 2026: the best CRM and the best email marketing platform for a small business. The four engines returned four different shortlists. For CRM, only HubSpot, Pipedrive, and Zoho appeared on all four lists, and Gemini left out Salesforce entirely. For email, only Mailchimp and Brevo were universal, and Google's AI Overview alone named Klaviyo and ConvertKit while dropping MailerLite. Each engine also cited different sources, from niche vendor blogs to comparison sites. The takeaway: being recommended by one AI engine does not mean you are recommended by the others, so brands need to track AI visibility per engine and earn citations in the specific pages each engine pulls from. The context is a fracturing market, with ChatGPT slipping below 50 percent of AI assistant usage in June 2026. We asked ChatGPT, Google Gemini, Perplexity, and Google’s AI Overview the same simple buying question, then did it again with a second one. Four engines, four different shortlists. Only two or three brands showed up on every list. Everything below that was a coin flip, and one engine dropped the category’s biggest name entirely. This used to be a footnote. It is now the central problem, because your buyers have spread across engines. In June, ChatGPT’s share of AI assistants slipped below 50 percent for the first time, to 46.4 percent, with Gemini at 27.7 percent and Claude at 10.3 percent, according to Sensor Tower data reported by [TechCrunch](https://techcrunch.com/2026/06/16/chatgpts-market-share-slips-below-50-for-first-time/). In the last two weeks alone, Anthropic shipped [Claude Sonnet 5](https://www.anthropic.com/news/claude-sonnet-5), and OpenAI launched [ChatGPT Work](https://openai.com/index/chatgpt-for-your-most-ambitious-work/) and made GPT-5.6 the default model inside Microsoft 365 Copilot. The referral data confirms it. A July study of 6.77 million sessions found ChatGPT still drives about 92 percent of [standalone AI referral traffic](https://previsible.com/seo-strategy/ai-traffic-report-july-2026/), while Claude quietly overtook Perplexity for second place. A separate brand-averaged [panel study](https://higoodie.com/blog/ai-search-traffic-report-2026/) put ChatGPT much lower, at 63 percent, with Claude at 18.5 percent. The two disagree on the exact split. They agree on the direction: your buyers are spreading across engines, and each engine answers differently. That is the backdrop for our [state of AI search](https://organikpi.com/blog/geo-ai-search/state-of-ai-search/) tracking, and it is why a single-engine strategy misses a growing share of your buyers. ## How we tested We picked two ordinary buying questions a small business would actually ask, “what are the best CRM platforms” and “what are the best email marketing platforms,” and put the exact same prompt into all four engines from a United States session in July 2026. We recorded which brands each one named in its top five and in what order. Here is how often each brand appeared across the four. Across both questions, only two or three brands made every engine’s list. Below that, each engine named different brands. ## Finding 1: the top is safe, the tail is a lottery For the best CRM question, the top of every list looked familiar. HubSpot, Pipedrive, and Zoho showed up in all four engines. That is the safe core, the set of names so established that no engine leaves them out. It matches what we see in our hands-on [AI visibility tool](https://organikpi.com/blog/geo-ai-search/best-ai-visibility-tools/) testing: category giants are hard to dislodge. EngineIts top CRM picks, in orderChatGPTHubSpot, Pipedrive, Zoho, Salesforce, MondayGoogle GeminiHubSpot, Pipedrive, Zoho, Monday, FreshsalesPerplexityHubSpot, Zoho, Pipedrive, Salesforce, BiginGoogle AI OverviewHubSpot, Pipedrive, Salesforce, Zoho, Salesflare, CapsuleSame prompt, four engines, United States, July 2026. Look past the top three and the agreement falls apart. Gemini left Salesforce off its list completely, which is the world’s largest CRM by revenue. Perplexity was the only engine to name Bigin. Google’s AI Overview was the only one to surface Salesflare and Capsule. Monday made two lists, Freshsales made one. If your brand is not one of the three untouchable names, whether an AI recommends you is decided engine by engine. Google’s AI Overview for the CRM question. It was the only engine to name Salesflare and Capsule. Perplexity for the same question ranked Zoho second and named Bigin, a pick no other engine made. ## Finding 2: Google’s AI Overview diverged from the other three The email marketing question split the engines even harder. The three chat assistants, ChatGPT, Gemini, and Perplexity, clustered around MailerLite, Brevo, Mailchimp, and ActiveCampaign. Google’s AI Overview went somewhere else entirely. It was the only engine to recommend Klaviyo and ConvertKit, and the only one to leave MailerLite and ActiveCampaign off the list. EngineIts top email picks, in orderChatGPTHubSpot, Mailchimp, Brevo, MailerLite, ActiveCampaignGoogle GeminiMailerLite, Brevo, Mailchimp, Omnisend, ActiveCampaignPerplexityMailerLite, Brevo, Mailchimp, ActiveCampaign, MoosendGoogle AI OverviewMailchimp, Klaviyo, Brevo, ConvertKitSame prompt, four engines, United States, July 2026. Three different brands led the four lists. Google’s AI Overview led with Mailchimp, ChatGPT led with HubSpot, and both Gemini and Perplexity led with MailerLite. Only Mailchimp and Brevo made all four lists. A brand like Klaviyo, which dominates e-commerce email, was invisible to three of the four engines for this phrasing. This is the same split we documented between Google’s own two surfaces in [AI Overviews versus AI Mode](https://organikpi.com/blog/geo-ai-search/ai-overviews-vs-ai-mode/), now playing out across the whole field. Gemini for the email question led with MailerLite and named Omnisend, a pick no other engine made. ## Finding 3: they do not cite the same sources The brand list is only half the story. Each engine built its answer from different pages. Perplexity’s top cited source for the CRM answer was a small AI receptionist vendor’s blog, not any of the CRM brands and not a major publication. For the email question it leaned on niche roundups like emailvendorselection and mailtrap. Google’s AI Overview cited a blog called Saltbox. ChatGPT pulled from TechRadar and comparison sites. That matters because the page that earns you a citation on one engine earns you nothing on another. Winning Perplexity can mean getting mentioned in a niche roundup that Perplexity happens to trust. Winning Google’s AI Overview means ranking in the sources it pulls from. There is no single page you optimize once. This is the citation-tracking job our reviews of [Otterly.AI](https://organikpi.com/blog/geo-ai-search/otterly-ai-review/), [AthenaHQ](https://organikpi.com/blog/geo-ai-search/athenahq-review/), and [Peec AI](https://organikpi.com/blog/geo-ai-search/peec-ai-review/) all try to solve, and it is why they exist as separate per-engine tools. ## What this means for your brand - **One engine is not the market.** ChatGPT still sends the most referral traffic, but it now holds under half of AI assistant usage. If you only track ChatGPT, you are blind to the Gemini and Google AI Overview answers that a growing share of your buyers see. Track visibility on each engine, not an average. Our [best GEO tools](https://organikpi.com/blog/geo-ai-search/best-geo-tools/) guide covers the ones that do this. - **The safe core is category giants.** If you are HubSpot, you appear everywhere. If you are a challenger, your presence is decided per engine, so that is where the work is. A free [AI brand visibility audit](https://organikpi.com/blog/geo-ai-search/diy-ai-brand-visibility-audit/) will show you which engines already name you and which do not. - **Optimize the sources, not just the site.** Because each engine cites different pages, getting recommended means earning your way into the roundups, reviews, and comparison pages that each specific engine pulls from. That is closer to digital PR than to classic on-page SEO, and it changes how you split a [GEO versus SEO budget](https://organikpi.com/blog/geo-ai-search/geo-vs-seo-budget/). ## The bottom line The week’s headlines all point the same way. ChatGPT under 50 percent, new default models across the field, referral traffic splitting between engines. Our test is the ground-level version of that shift. Ask four AI engines the same buying question and you get four different answers, built from four different sets of sources. The brands that win are either too big to leave out or actively earning mentions on each engine separately. That means treating AI visibility the way you already treat search: measured continuously, per engine, and earned page by page. If you want a map of who names you today, start with our [AI visibility tools](https://organikpi.com/blog/geo-ai-search/best-ai-visibility-tools/) roundup and our hands-on [Profound alternatives](https://organikpi.com/blog/geo-ai-search/profound-alternatives/) test. ## Frequently Asked Questions ### Do different AI engines recommend different brands? Yes. In our July 2026 test of the same buying question across ChatGPT, Gemini, Perplexity, and Google's AI Overview, only two or three brands appeared on all four lists. Every brand below that safe core varied by engine, and the number one pick was often different in each one. ### Which AI engine has the most users in 2026? ChatGPT remains the largest, but its share of AI assistant usage slipped below 50 percent for the first time in June 2026, to about 46 percent, with Google Gemini around 28 percent and Claude around 10 percent, according to Sensor Tower data reported by TechCrunch. ### Do ChatGPT and Google's AI Overview cite the same sources? No. In our test each engine built its answer from different pages. Perplexity leaned on niche vendor blogs and roundups, Google's AI Overview cited different blogs, and ChatGPT pulled from comparison sites like TechRadar. The page that earns a citation on one engine may carry no weight on another. ### Is optimizing for ChatGPT enough for AI visibility? No. ChatGPT still drives the most AI referral traffic, but it now holds under half of AI assistant usage. A growing share of buyers see Gemini and Google AI Overview answers, which recommend different brands, so you need to track and earn visibility on each engine separately. ### How do I get my brand recommended by AI engines? Category giants appear everywhere by default. If you are a challenger, presence is decided per engine, so the work is to earn citations in the specific roundups, reviews, and comparison pages each engine pulls from. Track which engines already name you, then target the sources behind the ones that do not. ### What tool tracks AI visibility across engines? Several tools now measure brand mentions across ChatGPT, Perplexity, Gemini, and Google's AI surfaces. We have tested Otterly.AI, AthenaHQ, Peec AI, and SE Ranking hands-on. The right pick depends on which engines and which depth of citation data you need.