G2 Cited in WSJ as Top LLM Source

G2 is in the The Wall Street Journal as a highly cited LLM source! 🚀 Love seeing the data validate something we've believed for a long time at G2: authentic human insight is becoming foundational in the age of AI. Reaching PEAK Performance in 2026 means being the source AI trusts — not just the brand that ranks. The WSJ's latest feature puts it plainly: trust has become a technical requirement for visibility. The old rules of search were about volume. The new rules of AEO are about 𝘢𝘶𝘵𝘩𝘰𝘳𝘪𝘵𝘺. We’re in a total pivot from "searching" to "decisioning" — where AI models act as gatekeepers for billions in enterprise spend. Here's how I see brands winning: 🎯 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿, 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗯𝗲𝗶𝗻𝗴 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗲𝗱. When LLMs are searching on behalf of your buyer, presence in those answers is presence in the decision. AI visibility isn't optional anymore. ⭐ 𝗟𝗟𝗠𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗯𝘂𝘆𝗲𝗿𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖. As Profound CEO James Cadwallader notes, every AI platform weighs its sources differently — but reviews, forums, and real customer voices consistently cut through. A strong G2 presence isn't just social proof. It's an AEO amplifier. 🔄 𝗗𝘂𝗿𝗮𝗯𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗯𝗲𝗮𝘁𝘀 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝘄𝗲𝗮𝗸𝘀. With AI models updating as often as every 17 days, optimization tactics have a shorter shelf life than ever. The only sustainable path is high-quality, authoritative data that helps AI help the buyer. 📈 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹: 𝗯𝗲𝗰𝗼𝗺𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗶𝘁𝗲𝗱, 𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝘆. Not optimized copy. Not keyword stuffing. Real signal, at scale. Trust is the only currency that matters when an LLM is doing the searching for you — and the voice of the customer is now one of the most valuable datasets in software. Check out the full WSJ article linked below. ⤵️

G2 is in the The Wall Street Journal as a highly cited LLM source! 🚀 Love seeing the data validate something we've believed for a long time at G2: authentic human insight is becoming foundational in the age of AI. Reaching PEAK Performance in 2026 means being the source AI trusts — not just the brand that ranks. The WSJ's latest feature puts it plainly: trust has become a technical requirement for visibility. The old rules of search were about volume. The new rules of AEO are about 𝘢𝘶𝘵𝘩𝘰𝘳𝘪𝘵𝘺. We’re in a total pivot from "searching" to "decisioning" — where AI models act as gatekeepers for billions in enterprise spend. Here's how I see brands winning: 🎯 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿, 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗯𝗲𝗶𝗻𝗴 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗲𝗱. When LLMs are searching on behalf of your buyer, presence in those answers is presence in the decision. AI visibility isn't optional anymore. ⭐ 𝗟𝗟𝗠𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗯𝘂𝘆𝗲𝗿𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖. As Profound CEO James Cadwallader notes, every AI platform weighs its sources differently — but reviews, forums, and real customer voices consistently cut through. A strong G2 presence isn't just social proof. It's an AEO amplifier. 🔄 𝗗𝘂𝗿𝗮𝗯𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗯𝗲𝗮𝘁𝘀 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝘄𝗲𝗮𝗸𝘀. With AI models updating as often as every 17 days, optimization tactics have a shorter shelf life than ever. The only sustainable path is high-quality, authoritative data that helps AI help the buyer. 📈 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹: 𝗯𝗲𝗰𝗼𝗺𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗶𝘁𝗲𝗱, 𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝘆. Not optimized copy. Not keyword stuffing. Real signal, at scale. Trust is the only currency that matters when an LLM is doing the searching for you — and the voice of the customer is now one of the most valuable datasets in software. Check out the full WSJ article linked below. ⤵️

G2 is in the The Wall Street Journal as a highly cited LLM source! 🚀 Love seeing the data validate something we've believed for a long time at G2: authentic human insight is becoming foundational in the age of AI. Reaching PEAK Performance in 2026 means being the source AI trusts — not just the brand that ranks. The WSJ's latest feature puts it plainly: trust has become a technical requirement for visibility. The old rules of search were about volume. The new rules of AEO are about 𝘢𝘶𝘵𝘩𝘰𝘳𝘪𝘵𝘺. We’re in a total pivot from "searching" to "decisioning" — where AI models act as gatekeepers for billions in enterprise spend. Here's how I see brands winning: 🎯 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿, 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗯𝗲𝗶𝗻𝗴 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗲𝗱. When LLMs are searching on behalf of your buyer, presence in those answers is presence in the decision. AI visibility isn't optional anymore. ⭐ 𝗟𝗟𝗠𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗯𝘂𝘆𝗲𝗿𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖. As Profound CEO James Cadwallader notes, every AI platform weighs its sources differently — but reviews, forums, and real customer voices consistently cut through. A strong G2 presence isn't just social proof. It's an AEO amplifier. 🔄 𝗗𝘂𝗿𝗮𝗯𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗯𝗲𝗮𝘁𝘀 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝘄𝗲𝗮𝗸𝘀. With AI models updating as often as every 17 days, optimization tactics have a shorter shelf life than ever. The only sustainable path is high-quality, authoritative data that helps AI help the buyer. 📈 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹: 𝗯𝗲𝗰𝗼���𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗶𝘁𝗲𝗱, 𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝘆. Not optimized copy. Not keyword stuffing. Real signal, at scale. Trust is the only currency that matters when an LLM is doing the searching for you — and the voice of the customer is now one of the most valuable datasets in software. Check out the full WSJ article linked below. ⤵️

G2 is in the The Wall Street Journal as a highly cited LLM source! 🚀 Love seeing the data validate something we've believed for a long time at G2: authentic human insight is becoming foundational in the age of AI. Reaching PEAK Performance in 2026 means being the source AI trusts — not just the brand that ranks. The WSJ's latest feature puts it plainly: trust has become a technical requirement for visibility. The old rules of search were about volume. The new rules of AEO are about 𝘢𝘶𝘵𝘩𝘰𝘳𝘪𝘵𝘺. We’re in a total pivot from "searching" to "decisioning" — where AI models act as gatekeepers for billions in enterprise spend. Here's how I see brands winning: 🎯 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿, 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗯𝗲𝗶𝗻𝗴 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗲𝗱. When LLMs are searching on behalf of your buyer, presence in those answers is presence in the decision. AI visibility isn't optional anymore. ⭐ 𝗟𝗟𝗠𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗯𝘂𝘆𝗲𝗿𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖. As Profound CEO James Cadwallader notes, every AI platform weighs its sources differently — but reviews, forums, and real customer voices consistently cut through. A strong G2 presence isn't just social proof. It's an AEO amplifier. 🔄 𝗗𝘂𝗿𝗮𝗯𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗯𝗲𝗮𝘁𝘀 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝘄𝗲𝗮𝗸𝘀. With AI models updating as often as every 17 days, optimization tactics have a shorter shelf life than ever. The only sustainable path is high-quality, authoritative data that helps AI help the buyer. 📈 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹: 𝗯𝗲𝗰𝗼𝗺𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗶𝘁𝗲𝗱, 𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝘆. Not optimized copy. Not keyword stuffing. Real signal, at scale. Trust is the only currency that matters when an LLM is doing the searching for you — and the voice of the customer is now one of the most valuable datasets in software. Check out the full WSJ article linked below. ⤵️

G2 is in the The Wall Street Journal as a highly cited LLM source! 🚀 Love seeing the data validate something we've believed for a long time at G2: authentic human insight is becoming foundational in the age of AI. Reaching PEAK Performance in 2026 means being the source AI trusts — not just the brand that ranks. The WSJ's latest feature puts it plainly: trust has become a technical requirement for visibility. The old rules of search were about volume. The new rules of AEO are about 𝘢𝘶𝘵𝘩𝘰𝘳𝘪𝘵𝘺. We’re in a total pivot from "searching" to "decisioning" — where AI models act as gatekeepers for billions in enterprise spend. Here's how I see brands winning: 🎯 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗮𝗻𝘀𝘄𝗲𝗿, 𝘆𝗼𝘂 𝗮𝗿𝗲𝗻'𝘁 𝗯𝗲𝗶𝗻𝗴 𝗰𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗲𝗱. When LLMs are searching on behalf of your buyer, presence in those answers is presence in the decision. AI visibility isn't optional anymore. ⭐ 𝗟𝗟𝗠𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗯𝘂𝘆𝗲𝗿𝘀 𝘁𝗿𝘂𝘀𝘁 𝗨𝗚𝗖. As Profound CEO James Cadwallader notes, every AI platform weighs its sources differently — but reviews, forums, and real customer voices consistently cut through. A strong G2 presence isn't just social proof. It's an AEO amplifier. 🔄 𝗗𝘂𝗿𝗮𝗯𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗯𝗲𝗮𝘁𝘀 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝘄𝗲𝗮𝗸𝘀. With AI models updating as often as every 17 days, optimization tactics have a shorter shelf life than ever. The only sustainable path is high-quality, authoritative data that helps AI help the buyer. 📈 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹: 𝗯𝗲𝗰𝗼𝗺𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗶𝘁𝗲𝗱, 𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝘆. Not optimized copy. Not keyword stuffing. Real signal, at scale. Trust is the only currency that matters when an LLM is doing the searching for you — and the voice of the customer is now one of the most valuable datasets in software. Check out the full WSJ article linked below. ⤵️

Most AI products are being built to answer questions. We think the much bigger opportunity is to build systems that actually understand the person asking them. At FRIDAY, we’re building a new layer for the internet: Personal Intelligence. That means a system that learns your preferences, constraints, context, and intent over time, but does so under your control, not the platform’s. Instead of your behaviour being trapped inside marketplaces, apps, ad networks, and recommendation engines, we believe that intelligence should sit with the user. In practice, that means building an architecture where: • your taste and preferences can persist over time • the system can explain why it is recommending something • memory improves through signals like browsing, purchases, corrections, and regret • disclosure is minimised and scoped to the task • AI can help act on your behalf, but only within bounded permissions We’re starting with commerce, because it is one of the clearest environments where poor recommendations, fragmented data, and platform incentives create a broken user experience. But the bigger vision is much wider. If AI is going to mediate what we buy, what we read, what we prioritise, and eventually what it does on our behalf, then the core preference layer should not belong to the intermediary. It should belong to the individual. A lot of this thinking is captured brilliantly in recent work by Gabriel Axel Montes on Personal Intelligence: Toward a User-Governed Preference Substrate for the Age of Agentic AI. That paper gives language and structure to something we believe deeply at FRIDAY: the future is not just smarter models. It is user-governed intelligence. Commerce is just the beginning. Over time, the same architecture can extend into travel, finance, productivity, filtering, and decision-making more broadly, wherever understanding the person matters more than generating a generic answer.