Cycle on Jul 13, 2026

I will begin this research cycle by listing the open threads on this topic to see if there are any specific questions, watches, or objectives we are tracking, and then I will read the existing notes to see the current state of our findings.

I will now read the existing notes for this topic to understand what has already been documented and to identify gaps or areas to update.

The existing findings are extremely rich and detailed, covering Model Context Protocol (MCP), Agentic Enterprise License Agreements (AELAs), the Futurum Agent Control Plane Framework, the GSA's proposed AI procurement clause (GSAR 552.239-7001), and the "Buyability" framework. Let's do some web searches to see what new developments, reports, or frameworks have emerged recently (specifically in mid-2026 or late Q2 / Q3 2026) regarding enterprise AI procurement, B2B software evaluation criteria, vendor consolidation, or new analyst frameworks (Gartner, Forrester, IDC, Futurum) on AI buying trends or B2B software purchasing. I will focus on finding fresh insights.

Let's do a search on recent reports from major analysts like Gartner, Forrester, or IDC regarding enterprise B2B buying behavior, specifically looking for new frameworks or shifts in vendor evaluation or consolidation in 2026. Let's search for terms like "Gartner B2B buying 2026", "Forrester B2B software evaluation 2026", "software vendor consolidation 2026".

Let's do a search on: `"Gartner Sales Survey Finds 67% of B2B Buyers Prefer a Rep-Free Experience"` to fetch this page or read more about it, as it seems to be a very recent release from March 2026. Let's search for: `site:gartner.com "rep-free"` or `"67%"` or similar. Let's run a search.

This is fascinating. Let's look at the press release from May 20, 2026: `https://www.gartner.com/en/newsroom/press-releases/2026-05-20-gartner-survey-finds-sixty-nine-percent-of-b-two-b-buyers-turn-to-sales-reps-to-validate-ai-generated-insights` And the press release from March 9, 2026: `https://www.gartner.com/en/newsroom/press-releases/2026-03-09-gartner-sales-survey-finds-67-percent-of-b2b-buyers-prefer-a-rep-free-experience` And from May 19, 2026: `https://www.gartner.com/en/newsroom/press-releases/2026-05-19-gartner-cso-and-sales-leader-conference-day-1-highlights` Let's fetch these three URLs using `web_fetch` to extract concrete data, quotes, and frameworks. This will be highly relevant to updating existing findings or creating a new one on B2B buyer behavior, AI validation, and the "rep-free" tension.

This is incredibly relevant. Let's fetch the other March 9, 2026 press release to see what specific recommendations Gartner gives for the "rep-free" shift, and then let's fetch the May 19, 2026 conference highlights.

This is extremely valuable. Let's look at the third URL: `https://www.gartner.com/en/newsroom/press-releases/2026-05-19-gartner-cso-and-sales-leader-conference-day-1-highlights` to see if we can get any deeper insights or specific recommendations.

This is absolute gold. Let's look at the key quotes and themes from these Gartner 2026 reports: 1. **The "Split-Brain" B2B Buyer Journey**: Robert Blaisdell (VP Analyst, Chief of Research at Gartner) states: > “The buyer journey is basically split-brain now — buyers want AI for the cold, factual evaluation, and they prefer sales reps for trust and validation. They’re delegating logic and craving connection at the exact same time.” > “Your content strategy must be bilingual: you need data-rich, fluff-free collateral for the buyer's AI agent, and highly empathetic, relationship-driven narratives for the human buyer.” 2. **AI-Generated Information vs. Sales Representative Validation**: - 69% of B2B buyers prefer to validate AI-generated insights with sales reps. - 45% of buyers reported using AI (primarily GenAI to gather information on vendors and products) during a recent purchase (survey conducted Aug-Sept 2025, published 2026). - Trust challenge: 51% of buyers say they are more likely to encounter misleading information from GenAI, while 49% say they are more likely to encounter misleading information from a sales rep. 3. **The Rep-Free Preference vs. High-Impact Validation**: - 67% of buyers prefer a sales rep-free experience, and 70% prefer a completely digital, self-service buying experience. - However, Alyssa Cruz notes: "Although two-thirds of B2B buyers prefer a rep-free experience, they still recognize the value of sellers in high impact moments. If sales leaders keep forcing early engagement, they’re building pipeline friction, not a pipeline." - "Buyer trust is the constraint: only 33% of buyers rank supplier-provided generative AI as trustworthy. Buyers trust your content more than your bots, so use AI to enable progress, not to ‘sell’ at scale." - "High-quality outcomes are measurable: when buyers experience value affirmation from sales reps, 75% report a high-quality deal. Verification beats persuasion." 4. **Value Clarity and Modular, Agent-Ready Content**: - "Enablement leaders should modernize how they equip sellers, moving beyond static content distribution to AI-driven support that fits into daily workflow." - To help sellers deliver "value clarity" (clear understanding of how a solution improves outcomes in the buyer's specific role and business context), sales enablement leaders should: - Operationalize buyer- and seller-facing AI agents. - Structure content into modular, agent-ready building blocks that can be dynamically assembled into context-aware resources. - Embed enablement directly into sellers' systems of action. This fits perfectly with our existing notes, specifically: - `enterprise-buying-journey-stages` (Enterprise Software Buying Journey: Where AI-Enabled Founders Must Win Each Stage) - `buyers-use-ai-dont-trust-it` (B2B Buyers Use AI Tools Heavily for Research — But Don't Trust the Answers) - `aeo-axo-frameworks-2026` (AXO vs. AXO: The New Frontier of B2B Brand Representation in AI Search (AXO/AEO)) Let's do some more searches to see what else has surfaced in mid-2026 regarding B2B software evaluation criteria, vendor consolidation, or procurement frameworks. Let's see if there is any new data from G2, Capterra, or other buyer platforms on vendor evaluation in 2026. Let's run a search.

Let's search for "G2 Software Buyer Behavior Report 2026" or "Capterra Software Buying Behavior 2026" or similar to see if G2 or Capterra has released a buyer behavior survey or report in 2026. Let's do a search.

Let's see if we can find G2's 2025 or 2026 Software Buyer Behavior Report. The search snippet mentions: "2025 Software Buyer Behavior Report. AI now means Always Included." Let's search for `"2025 Software Buyer Behavior Report"` or `"2026 Software Buyer Behavior Report"` on G2's site or search for `"AI now means Always Included"`. Let's do a search.

This is incredibly rich and highly relevant. Let's look at the press release from G2: `https://www.prnewswire.com/news-releases/new-g2-research-half-of-b2b-software-buyers-now-start-their-research-with-ai-chatbots-302742807.html` Wait, let's look at the title: "New G2 Research: Half of B2B Software Buyers Now Start Their Research with AI Chatbots" Let's see if we can find the date, or let's search for this URL and fetch it using `web_fetch`. It will give us the most up-to-date data (possibly late 2025 or 2026 G2 research). Let's fetch it.

This G2 report is incredible. It was published on **April 15, 2026** and is titled **"The Answer Economy: How AI Search Is Rewiring B2B Software Buying"**. Let's see the core stats: - **51% of B2B software buyers** now start their research with an AI chatbot more often than with Google — up from 29% in April 2025 (just 11 months ago). - **AI chatbots are the #1 source** influencing which vendors make buyer shortlists. - **69% of buyers** chose a different software vendor than planned based on guidance from an AI chatbot — and one-third (33%) bought from a vendor they'd never heard of. - **Review site citations** are the #1 signal that makes buyers trust an AI chatbot's recommendation (45% say citations from software review sites are the most confidence-inspiring signal in an AI-generated response). - **Nearly three in four (71%)** B2B software buyers rely on AI chatbots for software research, compared to 60% just seven months ago. - **Half (53%)** of B2B software buyers feel research done with an AI chatbot is more productive than traditional search, up from 36% seven months ago. - **Four out of five buyers** say AI chatbots accelerated their purchasing decision, and 83% report feeling more confident in their final choice. - **Comparing vendor strengths and weaknesses** is the #1 use case for AI chatbots in software research (41%) — ahead of basic product research, vendor identification, and use case validation. - **Forty-one percent of buyers** use Deep Research tools regularly for software evaluations. - **ChatGPT** remains the dominant AI chatbot for B2B software research (63%). - "Review sites are the only source besides AI chatbots that gains influence as buyers move deeper into the purchasing funnel, growing from 40% at discovery to 47% at retention." This is extremely complementary to our existing note `aeo-axo-frameworks-2026` (AXO vs. AXO: The New Frontier of B2B Brand Representation in AI Search (AXO/AEO)) and `review-platforms-ai-citation-substrate` (G2's Acquisition of Capterra and the Rise of the AI-First Software Buyer in 2026), and `buyers-use-ai-dont-trust-it` (B2B Buyers Use AI Tools Heavily for Research — But Don't Trust the Answers). Let's read `aeo-axo-frameworks-2026` first to see how we can update it or if we should write a new note or update an existing one. Let's fetch the body of `aeo-axo-frameworks-2026` and `review-platforms-ai-citation-substrate` using `read_notes` or by searching. Wait, let's look at the note titles and slugs. We have: - `aeo-axo-frameworks-2026` - `review-platforms-ai-citation-substrate` - `buyers-use-ai-dont-trust-it` Let's see if we can read these notes. Let's write a python script or call a tool to inspect them? Ah, wait, we don't have a direct tool to read a specific note's full body except that `read_notes` returns a list of notes with a preview. Wait! `read_notes` returns `slug, title, preview, updated_at, and source_count for each note`. Wait, is there a tool to read a note's full body? No, the tool list is: - `default_api:list_threads` - `default_api:read_notes` - `default_api:write_note` - `default_api:record_thread` - `default_api:resolve_thread` - `default_api:record_watch` - `default_api:record_event` - `default_api:finish_cycle` - `default_api:web_search` - `default_api:web_fetch` Ah, `read_notes` with a very large limit or specific parameters doesn't return the full body? Let's check the parameter description for `read_notes`: "Returns slug, title, preview, updated_at, and source_count for each note so the cycle can reference prior findings without re-fetching them." Yes, it returns a preview. Wait, let's look at the previews we received earlier. For `aeo-axo-frameworks-2026`: `With **94% of B2B buyers using Large Language Models (LLMs) and AI search engines** (such as ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews) during their initial software research,…` For `buyers-use-ai-dont-trust-it`: `Gartner research presented at the May 2026 Gartner CSO & Sales Leader Conference reveals a critical trust gap in AI-driven B2B buying: 70% of B2B buyers prefer a digital, self-service buying…` For `review-platforms-ai-citation-substrate`: `The B2B software review space has undergone a massive consolidation, transforming peer review platforms into the ultimate trust layer that Large Language Models (LLMs) use to generate vendor…` Let's see if we can do a web search on other aspects of our topic brief: "shifting expectations around AI features, analyst reports on buying behavior, vendor consolidation trends, and signals from buyer communities and review platforms. Surface what a founder selling to enterprises needs to understand right now." Wait! Let's search for "vendor consolidation trends B2B software 2026" or "enterprise software consolidation 2026" to see what other fresh data points we can find. Let's do a search.

Look at this! `https://www.saasmag.com/saas-consolidation-ma-wave-2026/` "68% of tech leaders plan vendor consolidation in 2026, with most targeting 20% fewer providers. The average enterprise runs 106 SaaS..." And: `https://www.digital-chiefs.de/en/vendor-consolidation-2026/` "Vendor Consolidation 2026: Why 68 Percent of IT Organizations..." And: `https://www.itpro.com/business/business-strategy/how-vendor-consolidization-is-reshaping-partner-strategy-in-2026` "How vendor consolidation is reshaping partner strategy in 2026. Vendor consolidation shifts renewal conversations upstream for partners in 2026." Let's fetch `https://www.saasmag.com/saas-consolidation-ma-wave-2026/` and `https://www.itpro.com/business/business-strategy/how-vendor-consolidization-is-reshaping-partner-strategy-in-2026` using `web_fetch` to get concrete data, numbers, and quotes. This is critical for updating `platform-consolidation-2026` or creating a highly detailed update about SaaS consolidation and vendor management. Let's do a fetch.

This is incredibly high-quality data. Let's look at the key statistics: - **68% of tech leaders plan vendor consolidation in 2026**, with most targeting a **20% reduction** in providers. - The average enterprise runs **106 SaaS applications**, down from a peak of **130 in 2022** (per BetterCloud). - **Software M&A accounted for 65% of total tech deal volume in 2025** (SaaS made up 58% of software transactions). - **Enterprise software spending will grow 14.7% in 2026 to more than $1.4 trillion** (according to Gartner's February 2026 forecast). - **AI-driven deal theses**: 72% of SaaS M&A targets in 2025 referenced AI capabilities in their positioning. "VCs predict enterprises will spend more on AI in 2026 but through fewer vendors, which accelerates consolidation further." - Private equity firms entered 2026 sitting on **$3.7 trillion in global dry powder** (roughly double what they held in 2019). - **Vertical SaaS is the hottest target category**: 46% of SaaS M&A in Q2 2025 was vertical SaaS, as vertical customers value completeness over best-of-breed. - **The valuation gap is widening**: Top-tier companies (durable growth, retention, AI positioning) command premium multiples (6x to 8x ARR, median 6.9x ARR for gross margins above 80%), while undifferentiated or declining-growth businesses face compressed valuations (3x to 4x ARR). This is highly relevant to our existing note `platform-consolidation-2026` (Platform Consolidation Is Accelerating: 66% Prefer Platforms, 74% May Switch, 41% Actively Consolidating). Let's check `platform-consolidation-2026` to see what's in it. Let's do a search or check our previous notes preview. The preview for `platform-consolidation-2026` was: `The enterprise software market has entered a decisive consolidation phase, driven by AI integration and cost pressures. Futurum Group's Q1 2026 Enterprise Software Decision Maker Survey (n=830)…` Yes! This is a perfect match. We can update `platform-consolidation-2026` with these fresh Q2 2026 data points, including the 68% vendor consolidation target, the BetterCloud SaaS app drop (106 vs 130), and the M&A trends. Let's fetch the other ITPro article we found earlier: `https://www.itpro.com/business/business-strategy/how-vendor-consolidization-is-reshaping-partner-strategy-in-2026` to see if there are additional details about vendor consolidation. Let's do a fetch.

Ah, it seems that page didn't have much readable text or was blocked behind some sign-up. That's fine, we have a wealth of incredible data from G2's April 2026 "The Answer Economy" report and Gartner's May 2026 CSO & Sales Leader Conference. Let's do some more searches to see if there are any other recent 2026 reports or frameworks about enterprise software buying or AI procurement. Let's search for "Forrester B2B software buying 2026" or "IDC enterprise software evaluation 2026". Let's do a search.

This is incredible! Let's look at the Forrester 2026 reports: - `https://www.forrester.com/press-newsroom/forrester-2026-the-state-of-business-buying/` - `https://www.forrester.com/blogs/predictions-2026-trust-will-be-the-ultimate-currency-for-b2b-buyers/` - `https://www.digitalcommerce360.com/2026/01/22/forrester-b2b-buying-ai-2026/` (Forrester: B2B buying groups expand as they question AI) Let's fetch these three URLs! They are incredibly relevant to our evaluation criteria, buying groups, and trust. Let's do a fetch on: 1. `https://www.forrester.com/press-newsroom/forrester-2026-the-state-of-business-buying/` 2. `https://www.forrester.com/blogs/predictions-2026-trust-will-be-the-ultimate-currency-for-b2b-buyers/` 3. `https://www.digitalcommerce360.com/2026/01/22/forrester-b2b-buying-ai-2026/` Let's start with the first one.

This is an absolute treasure trove! Let's look at the Forrester stats from **January 21, 2026**: - **The State of Business Buying, 2026** report reveals that generative AI is fundamentally reshaping how business buyers discover, evaluate, and purchase products. - **Buying groups are expanding**: "The typical buying decision now includes **13 internal stakeholders and nine external influencers**, with that number rising for more complex or strategic purchases." - **Procurement is engaging early and often**: "Procurement professionals are decision-makers in **53% of business buying cycles**, engaging from the start of the process. These stakeholders look beyond price, scrutinizing features and functions to ensure efficiency and productivity, often interacting more frequently with sales representatives than other buyer personas." - **Trials are non-negotiable for risk reduction**: "More than **60% of business buyers now make use of a trial** — ranging from paid bespoke sandboxes to usage-based trial periods — to evaluate potential solutions. This trend is even more pronounced for larger investments, with **78% of buyers who make purchases of $10 million or more engaging in a trial first**." - **Human validation is still required**: "AI search tools, also known as answer engines, offer speed and efficiency, but they often deliver incomplete or unreliable information, creating mistrust. Buyers compensate for this by seeking validation from trusted sources, emphasizing the value of human contact in the buying process." Let's fetch the second Forrester link: `https://www.forrester.com/blogs/predictions-2026-trust-will-be-the-ultimate-currency-for-b2b-buyers/` to get any more qualitative insights or quotes. Let's do a fetch.

This is incredibly high-quality material. Let's look at the third link as well: `https://www.digitalcommerce360.com/2026/01/22/forrester-b2b-buying-ai-2026/` to see if there are more details about the "13 internal stakeholders and nine external influencers" and "B2B buying groups expand as they question AI". Let's do a fetch.

This is incredibly rich, quantitative, and concrete! Let's summarize the key insights we've gathered from these major 2026 reports (Gartner May 2026, G2 April 2026, Forrester January 2026, and SaaS Mag April 2026): ### 1. The "Split-Brain" / "Answer Economy" B2B Buying Journey (Gartner & G2) - **The AI Search Tipping Point**: G2's April 2026 report, *The Answer Economy*, reveals that **51% of B2B software buyers** now start their software research with an AI chatbot more often than with Google (up from 29% in April 2025). **71%** of buyers rely on AI chatbots for software research (up from 60% seven months prior). - **The "Split-Brain" Buying Journey**: Gartner's Robert Blaisdell describes this: *"The buyer journey is basically split-brain now — buyers want AI for the cold, factual evaluation, and they prefer sales reps for trust and validation. They’re delegating logic and craving connection at the exact same time."* - **A Bilingual Content Strategy**: Vendors must create a "bilingual" content strategy: data-rich, fluff-free, modular content structured for the buyer's AI agent to consume, and highly empathetic, relationship-driven narratives for the human buyer. - **Verification Beats Persuasion**: Gartner notes that **69% of B2B buyers** prefer to validate AI-generated insights with sales reps. High-impact moments require sales reps to act as validators of AI-generated insights and to provide "value affirmation" (which leads to 75% of buyers reporting a high-quality deal). ### 2. The Expansion of Buying Groups & Trust Deficit (Forrester) - **Buying Groups Double for AI Purchases**: According to Forrester's *The State of Business Buying, 2026*, the typical buying decision involves an average of **13 internal stakeholders and 9 external influencers** (such as industry experts, peers, analysts). Crucially, **when a purchase includes generative AI features, the buying group doubles in size** compared to purchases without AI features due to the need for cross-functional evaluation of risk, security, and data privacy. - **The AI Trust Deficit**: While 45% of buyers use GenAI to gather info (Gartner), they do not trust the output blindly. Forrester reports that **20% of buyers felt less confident** in a decision because they encountered unreliable or inaccurate AI information. This rises to **28% for procurement professionals**, who are also more likely to report wasted time (22%) due to poor AI info. - **Early Procurement Influence**: Procurement professionals are decision-makers in **53% of business buying cycles** and engage from the very start, looking beyond price to scrutinize features and functions to ensure efficiency and productivity. ### 3. The Non-Negotiable Rise of the Trial (Forrester) - **Trials as Risk-Reduction Proving Grounds**: Over **60% of business buyers** now require some form of trial (from paid bespoke sandboxes to usage-based trials) before committing. For large investments of **$10 million or more, 78% of buyers engage in a trial first**. - **The "Trial Hopping" Threat**: Trials do not guarantee a closed deal for the original provider. Forrester warns that only **36%** of buyers plan to convert to a fully paid version with the same provider after a trial. **35%** plan to convert with a *different* provider, and **10%** plan to begin a new trial of the same solution with a different vendor. ### 4. G2: Review Sites as the Trust Layer in AI Search (G2) - **The "Yellow Pages" to "Google" to "Answer Engine" Compression**: Tim Sanders (Chief Innovation Officer at G2) explains: *"Google compressed it into the first page of results. Now, AI chatbots are compressing it into a single answer. Buyers have moved from reference to inference."* - **Review Citations are the Trust Substrate**: **45% of buyers** state that citations from software review sites (like G2 or Capterra) are the most confidence-inspiring signal in an AI-generated response. Review sites are the only source besides AI chatbots that *gains* influence as buyers move deeper into the purchasing funnel (growing from 40% at discovery to 47% at retention). - **The Power of AI Chatbot Shortlists**: **69% of buyers** chose a different software vendor than planned based on AI chatbot guidance, and **one-third (33%)** bought from a vendor they had never heard of before. AI chatbots are now the #1 source influencing which vendors make shortlists. ### 5. The SaaS Consolidation Wave & Platform Preference (SaaS Mag & Futurum) - **68% of Tech Leaders Plan Vendor Consolidation in 2026**: Most target a **20% reduction** in providers. - **The Average Enterprise App Count is Dropping**: Down to **106 SaaS applications**, compared to a peak of **130 in 2022** (BetterCloud). - **Consolidation Around Platforms**: Budgets are shifting toward platforms and multi-product suites (such as vertical SaaS, which made up 46% of SaaS M&A). - **AI-Driven M&A**: 72% of SaaS M&A targets in 2025 referenced AI capabilities in their positioning. Enterprises are spending more on AI but through fewer, consolidated vendors. --- Let's look at our existing notes and see which ones we should update: 1. **`enterprise-buying-journey-stages`** (Enterprise Software Buying Journey: Where AI-Enabled Founders Must Win Each Stage) - This represents a perfect place to integrate Forrester's expanded buying groups (13 internal, 9 external, doubling for AI purchases), procurement's early 53% decision-maker role, and the critical role of trials (60% overall, 78% for $10M+ deals). 2. **`buyers-use-ai-dont-trust-it`** (B2B Buyers Use AI Tools Heavily for Research — But Don't Trust the Answers) - This note already focuses on the trust gap. We can update it with: - G2's April 2026 *The Answer Economy* report (51% start search in AI chatbots, 71% rely on them, but 64% encounter inaccurate recommendations often). - Forrester's finding that 20% of buyers (and 28% of procurement) feel less confident due to inaccurate AI output. - Gartner's May 2026 "split-brain" buying journey concept where buyers delegate logic to AI but crave human connection and validation (69% turn to reps to validate AI insights). - Alyssa Cruz's quote: "Buyer trust is the constraint: only 33% of buyers rank supplier-provided generative AI as trustworthy." 3. **`review-platforms-ai-citation-substrate`** (G2's Acquisition of Capterra and the Rise of the AI-First Software Buyer in 2026) or **`aeo-axo-frameworks-2026`** (AXO vs. AXO: The New Frontier of B2B Brand Representation in AI Search (AXO/AEO)) - We can update `aeo-axo-frameworks-2026` to reflect the massive shift to AI-chatbot-first research (51% starting in chatbots, 69% changing vendors based on chatbot guidance, 33% buying from unknown vendors) and G2's concept of "The Answer Economy" and "Yellow Pages to Google to Answer Engine" compression. - We can also update `review-platforms-ai-citation-substrate` to reflect G2's April 2026 report showing that review site citations are the #1 signal (45%) that makes buyers trust AI recommendations. 4. **`platform-consolidation-2026`** (Platform Consolidation Is Accelerating: 66% Prefer Platforms, 74% May Switch, 41% Actively Consolidating) - We can update this with SaaS Mag's April 2026 M&A and vendor consolidation data: 68% of tech leaders targeting a 20% provider reduction, average SaaS apps dropping from 130 to 106, 72% of M&A targets referencing AI, and the massive role of PE dry powder ($3.7T). 5. **`pilot-trap-enterprise-ai`** (The Proof-of-Concept Trap: How Enterprise AI Pilots Win or Lose Deals) or we can update the trial/pilot findings in **`enterprise-buying-journey-stages`**. Wait, let's write or update these notes. Let's first check if there are any specific threads or watches we need to address or resolve. We have: - `Finalization of GSA GSAR 552.239-7001 AI Procurement Rule` (watch, fire_date: 2026-10-01). The current date is 2026-07-13, so this watch is still in the future. We don't need to resolve it yet, but let's do a quick search on "GSAR 552.239-7001" to see if there are any new updates or if it is still on track for the August 3, 2026 comment deadline. Let's do a search.

Awesome, the GSAR 552.239-7001 rulemaking is indeed progressing as expected, with the Federal Register Proposed Rule published on June 17, 2026. The watch is perfectly set for October 1, 2026, which is after the comment deadline and subsequent public listening sessions. We don't need to trigger the watch yet, but it's good to confirm everything is on track. Let's write or update our findings. First, let's update **`enterprise-buying-journey-stages`** with the massive new data from Forrester's January 2026 report *The State of Business Buying, 2026* and Gartner's May 2026 conference. Let's see: what should we add? - **Buying group expansion**: The average buying group now has 13 internal stakeholders and 9 external influencers. Crucially, when a purchase includes generative AI features, the buying group doubles in size due to the need for cross-functional evaluation of risk, security, and data privacy. - **Early procurement engagement**: Procurement is a decision-maker in 53% of business buying cycles, involved from the start, looking beyond price to scrutinize features and functions to ensure efficiency and productivity. - **The Non-Negotiable Rise of the Trial**: Over 60% of business buyers require trials (paid sandbox, usage-based trials), rising to 78% for $10M+ deals. But watch out for "trial hopping" (only 36% plan to convert with the original provider; 35% plan to convert with a different provider, and 10% plan to start a new trial of the same solution with a different vendor). Let's write this update to `enterprise-buying-journey-stages`. I will draft the note. It must have the title as the first `# ` heading and the Sources block. No YAML frontmatter. Let's write.

Now let's update **`buyers-use-ai-dont-trust-it`** (B2B Buyers Use AI Tools Heavily for Research — But Don't Trust the Answers). Let's see what we should add to this note: - G2's April 2026 report, *The Answer Economy*, which shows that 51% of software buyers start their research in an AI chatbot (up from 29% in April 2025) and 71% rely on them, yet 64% encounter inaccurate AI chatbot recommendations often or very often. - Forrester's data showing that 20% of buyers feel less confident because they encountered unreliable or inaccurate AI information, rising to 28% for procurement professionals. - Gartner's May 2026 insights showing that 69% of B2B buyers turn to sales reps to validate AI-generated insights, and 51% of buyers say they are more likely to encounter misleading info from GenAI (compared to 49% from a sales rep). - Alyssa Cruz's quote: "Buyer trust is the constraint: only 33% of buyers rank supplier-provided generative AI as trustworthy." - The "split-brain" buyer journey where buyers delegate logic to AI but crave human connection and validation. Let's write this update to `buyers-use-ai-dont-trust-it`. Let's draft the note.

Now let's update **`aeo-axo-frameworks-2026`** (AXO vs. AXO: The New Frontier of B2B Brand Representation in AI Search (AXO/AEO)) or let's see if we should refine the name slightly. Wait! The slug is `aeo-axo-frameworks-2026` and the title is "AXO vs. AXO: The New Frontier of B2B Brand Representation in AI Search (AXO/AEO)". Wait, let's look at the title of `aeo-axo-frameworks-2026`. It's a bit of a typo "AXO vs. AXO" – maybe it meant "AEO vs. AXO"? Let's check the preview of `aeo-axo-frameworks-2026`: `With **94% of B2B buyers using Large Language Models (LLMs) and AI search engines** (such as ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews) during their initial software research,…` Let's update `aeo-axo-frameworks-2026` to reflect G2's April 2026 *The Answer Economy* report. This is the definitive 2026 data on how AI search is rewiring software buying, the concept of the "third compression era" (Yellow Pages to Google to AI Answer Engines), and how 51% of buyers now start with an AI chatbot. Let's write this update to `aeo-axo-frameworks-2026`. I will draft the note. It will be titled "AEO vs. AXO: The New Frontier of B2B Brand Representation in AI Search (AXO/AEO)". Let's write.

Excellent! Now let's update **`platform-consolidation-2026`** (Platform Consolidation Is Accelerating: 66% Prefer Platforms, 74% May Switch, 41% Actively Consolidating). Let's see what we can add: - SaaS Mag's April 2026 report, *The SaaS Consolidation Wave: Why 2026 Is the Biggest M&A Year on Record*: - **68% of tech leaders plan vendor consolidation in 2026**, with most targeting a **20% reduction** in providers. - The average enterprise runs **106 SaaS applications**, down from a peak of **130 in 2022** (BetterCloud data). - Software M&A accounted for **65% of total tech deal volume in 2025** (SaaS made up 58% of software transactions). - Enterprise software spending will grow **14.7% in 2026 to more than $1.4 trillion** (Gartner February 2026 forecast). - **AI-driven deal theses**: **72%** of SaaS M&A targets in 2025 referenced AI capabilities in their positioning. "VCs predict enterprises will spend more on AI in 2026 but through fewer vendors, which accelerates consolidation further." - **The valuation gap is widening**: Top-tier companies (durable growth, retention, AI positioning) command premium multiples (6x to 8x ARR, median 6.9x ARR for gross margins above 80%), while undifferentiated or declining-growth businesses face compressed valuations (3x to 4x ARR). - **Vertical SaaS is the hottest target category**: 46% of SaaS M&A in Q2 2025 was vertical SaaS, as vertical customers value completeness over best-of-breed. - Private equity firms entered 2026 sitting on **$3.7 trillion in global dry powder**. Let's write this update to `platform-consolidation-2026`. I will draft the note. Let's write.

This is incredible progress. Let's review what we have accomplished: 1. Updated `enterprise-buying-journey-stages` with Forrester's January 2026 report and Gartner's May 2026 conference insights to detail expanded buying groups, early procurement gatekeeping, and trial metrics. 2. Updated `buyers-use-ai-dont-trust-it` with G2's April 2026 "The Answer Economy" report, Forrester's January 2026 report, and Gartner's May 2026 conference insights to provide comprehensive data on the AI trust deficit and the "split-brain" buying journey. 3. Updated `aeo-axo-frameworks-2026` with G2's April 2026 "The Answer Economy" report to detail the "third compression era" of the buyer journey, chatbot shortlist influence, and the strategic shift from SEO to AEO/AXO. 4. Updated `platform-consolidation-2026` with SaaS Mag's April 2026 report to incorporate detailed quantitative metrics on vendor consolidation, SaaS application counts, PE dry powder, AI-driven M&A, and the widening valuation gap. Wait, are there any other notes we should write or update? Let's check `review-platforms-ai-citation-substrate`. G2's April 2026 report is highly relevant here too because it shows that software review sites are the ultimate "trust layer" in AI search. Let's see if we should update `review-platforms-ai-citation-substrate` or if the updates to `aeo-axo-frameworks-2026` and `buyers-use-ai-dont-trust-it` already cover this in perfect depth. Yes, they cover it beautifully. Let's check if there are any other threads or watches we should register. Wait! We can register a watch for the next G2 Software Buyer Behavior Report or the next major Gartner/Forrester buyer surveys. Wait, let's look at the G2 Research Agenda we found earlier: "Fall 2026 Report Dates · Review Deadline Announcement June 30, 2026 · Report Announcement July 21, 2026" Let's see if there is a recurring release or dated catalyst we can watch for. G2's Fall 2026 Reports release is on **August 25, 2026** (or G2's next Software Buyer Behavior Report which usually comes out annually in mid-year or late-year, or Fall reports). Let's register a watch for the **G2 Fall 2026 Reports Release** or the **G2 2027 Software Buyer Behavior Report** (which might be drafted or announced later). Wait, we also have the GSA GSAR 552.239-7001 AI Procurement Rule watch already registered, which is excellent. Let's check if there are any other open threads or watches. Let's look at the list of threads we retrieved earlier: - `Finalization of GSA GSAR 552.239-7001 AI Procurement Rule` (watch, fire_date: 2026-10-01). Let's register a watch for the next major G2 or Gartner report. Actually, let's look at Gartner's forecast or Forrester's next State of Business Buying report. Forrester's *The State of Business Buying* is an annual report. The 2026 report was published on January 21, 2026. The 2027 report will likely be published around January 2027. Let's register a watch for the **Forrester State of Business Buying 2027** report to track if buying groups continue to expand or if the AI trust gap narrows. Let's call `record_watch` for this. Wait, let's look at the parameters for `record_watch`: - `topic_id`: "019e4704-d70e-72d3-beaa-91954e215b8c" - `cycle_id`: "489429e7-0ddc-47c6-862c-7a9da9d449d5" - `title`: "Forrester State of Business Buying 2027 Publication" - `cardinality`: "one_shot" - `watch_type`: "scheduled_release" - `fire_date`: "2027-01-20T00:00:00Z" - `entity`: "Forrester" - `description`: "Monitor the publication of Forrester's annual State of Business Buying 2027 report. Track whether B2B buying groups continue to expand (currently 13 internal, 9 external, doubling for AI purchases), whether the trial adoption rate (currently 60%) increases, and if procurement's early-stage influence (currently 53%) continues to grow." Let's call `record_watch` for this.

Fantastic! The watch has been successfully registered. Let's double-check if there are any other actions required. - We listed threads using `list_threads`. - We gathered and confirmed evidence by fetching and reading high-quality, primary sources (Gartner, G2, Forrester, SaaS Mag). - We updated four key existing notes with rich, concrete, quantitative data and verbatim quotes (`enterprise-buying-journey-stages`, `buyers-use-ai-dont-trust-it`, `aeo-axo-frameworks-2026`, and `platform-consolidation-2026`). - We registered a forward-looking watch for the Forrester State of Business Buying 2027 report. We have fully addressed the brief's objectives for this cycle, bringing in fresh mid-2026 insights (such as G2's April 2026 *The Answer Economy* report and Gartner's May 2026 CSO Conference). I am now ready to end the cycle by calling `finish_cycle`. Let's do that.

I have successfully completed this research cycle, bringing forward highly relevant, fresh, and concrete evidence from Q2 2026. Here is a summary of the findings and actions taken: ### Summary of Findings & Updates This cycle focused on tracking the rapid evolution of B2B software procurement and buyer behavior in mid-2026. Key updates were made across four core findings: 1. **Enterprise Software Buying Journey (`enterprise-buying-journey-stages`)**: - **Expanded Buying Groups**: Updated with Forrester’s January 2026 report showing that the average buying decision now involves **13 internal stakeholders and 9 external influencers**. Crucially, **when a purchase includes generative AI features, the buying group doubles in size** due to heightened security, data privacy, and compliance concerns. - **Early Procurement Gatekeeping**: Procurement professionals are now decision-makers in **53% of buying cycles** and engage from the very start. - **The Trial Mandate & "Trial Hopping"**: **60% of all buyers** (and **78% of buyers in $10M+ deals**) require some form of trial. However, only **36%** plan to convert with the original provider after a trial; **35%** plan to convert with a *different* provider, and **10%** plan to start a new trial of the same solution with a competitor. 2. **B2B Buyers Use AI Tools Heavily — But Don't Trust the Answers (`buyers-use-ai-dont-trust-it`)**: - **The AI Trust Gap**: While **51% of software buyers start their research in an AI chatbot** (G2, April 2026), **64% encounter inaccurate recommendations often or very often**. - **The "Split-Brain" Journey**: Gartner's May 2026 conference highlights reveal that buyers are delegating logic to AI but craving human connection and validation. **69% of buyers prefer to validate AI-generated insights with sales reps**, and deals are won when reps provide "value affirmation" rather than raw persuasion. 3. **AEO vs. AXO: B2B Brand Representation in AI Search (`aeo-axo-frameworks-2026`)**: - **The "Third Compression Era"**: G2's Chief Innovation Officer Tim Sanders describes how AI chatbots have compressed the buyer journey from Google's first page into a single answer. - **Chatbot Shortlists**: **69% of buyers** chose a different software vendor than initially planned based on AI chatbot guidance, and **one-third (33%)** bought from a vendor they had never heard of before. - **Review Sites as the Trust Substrate**: **45% of buyers** state that citations from software review sites are the most confidence-inspiring signal in an AI-generated response. 4. **Platform Consolidation Is Accelerating (`platform-consolidation-2026`)**: - **Pruning the Stack**: SaaS Mag's April 2026 report reveals that **68% of tech leaders plan vendor consolidation in 2026**, with most targeting a **20% reduction** in providers. The average enterprise SaaS app count has dropped to **106** (down from **130 in 2022**). - **M&A Dynamics**: Software M&A accounted for **65% of total tech deal volume in 2025**, heavily driven by PE firms sitting on **$3.7 trillion in dry powder**. **72%** of SaaS M&A targets in 2025 referenced AI capabilities in their positioning. - **Widening Valuation Gap**: Premium SaaS platforms command multiples of **6x to 8x ARR** (median 6.9x), while undifferentiated point solutions face compressed valuations around **3x to 4x ARR**. ### Strategic Actions Taken * **Created a Watch**: Registered a `one_shot` scheduled release watch for **Forrester's State of Business Buying 2027** report (expected January 2027) to track the continuing expansion of buying groups, trial conversion metrics, and procurement influence. * **Confirmed Ongoing Watch**: Verified that the GSA's proposed AI clause (**GSAR 552.239-7001**) rulemaking is progressing on schedule following its June 17, 2026 Proposed Rule publication, with the comment window closing on August 3, 2026.