https://www.sixa1.com/masterclass-signup-page, https://sixa1.com/, https://workshops.sixa1.com/webinar-1

Eric Giguere, Montréal-Ouest, QC (2025)

09/23/2025

𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝘁𝗼𝗼𝗹𝘀 𝗮𝗹𝘄𝗮𝘆𝘀 𝗪𝗶𝗻𝗻𝗶𝗻𝗴 𝗥𝗲𝗮𝗹 𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀.

Sure… Big players dominate headlines.

Our 2025 Benchmark found something better: focused tools winning real workflows.

𝟯 𝘄𝗼𝗿𝘁𝗵 𝗸𝗻𝗼𝘄𝗶𝗻𝗴:

𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄 — #3 overall (9.175): the backbone for custom AI.

𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗹𝗲𝗿𝘁𝘀 — Top-10 (8.775): unglamorous, indispensable monitoring.

𝗥𝘂𝗻𝘄𝗮𝘆 — (7.875): fast video creation for teams that don’t have editors.

Want the full snapshot?

Download the Full Report

09/19/2025

𝗧𝗵𝗶𝘀 𝘄𝗲𝗲𝗸 𝘄𝗲 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝘁𝗵𝗲 𝗧𝗼𝗽 𝟭𝟬 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀 𝗼𝗳 𝟮𝟬𝟮𝟱 — 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝗴𝗼𝘁 𝗿𝗲𝗮𝗹.

𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗽𝗮𝗿𝘁 𝗻𝗼𝗯𝗼𝗱𝘆 𝘀𝗮𝘄 𝗰𝗼𝗺𝗶𝗻𝗴:

Two of the Top 10 aren’t “chatbots” at all.

𝗚𝗼𝗼𝗴𝗹𝗲 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄 came in at #3 (9.175) — reminder that custom AI still runs on serious infrastructure.

𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗹𝗲𝗿𝘁𝘀 cracked the Top 10 (8.775) — the “boring” tool that quietly powers situational awareness.

Design shows up twice.
𝗙𝗶𝗴𝗺𝗮 appears in two categories (both 8.825), which says a lot about workflow gravity and how AI seeps into everyday creative ops.

Creative platforms are in the mix.
𝗧𝗶𝗸𝗧𝗼𝗸 lands Top 10 (9.0) via AI-driven creation — a signal that distribution + creation is the new value chain.

Yes, 𝗖𝗹𝗮𝘂𝗱𝗲 is elite (9.0).
But the bigger story is fit over fame. Your stack wins when you align decision quality, integration, and ROI — not when you chase headlines.

𝗖𝗼𝗽𝗶𝗹𝗼𝘁? Still strong — but #10 (8.75).
Fantastic inside M365; less flexible as a standalone pick.

𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻𝘀 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺
👉 Don’t pick tools based on noise.
👉 Pick them based on need — the job, the stack, and the workflow.

”T𝘩𝘦 𝘉𝘦𝘴𝘵 𝘛𝘰𝘰𝘭 𝘺𝘰𝘶 𝘣𝘰𝘶𝘨𝘩𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘰𝘯𝘦 𝘺𝘰𝘶𝘳 𝘵𝘦𝘢𝘮 𝘈𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘜𝘴𝘦𝘴.” — 𝘌𝘳𝘪𝘤 𝘎𝘪𝘨𝘶è𝘳𝘦

09/18/2025

𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗮 𝘁𝗼𝗼𝗹 “T𝗼𝗽 𝟭𝟬” 𝗶𝗻 𝗼𝘂𝗿 𝗥𝗲𝗽𝗼𝗿𝘁?

It’s not brand recognition.

It’s 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁.

Here’s how we scored:
✔️ 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆 — Can it perform across key tasks?
✔️ 𝗣𝗼𝗽𝘂𝗹𝗮𝗿𝗶𝘁𝘆 — Are teams adopting it?
✔️ 𝗩𝗮𝗹𝘂𝗲 — Does it deliver ROI?
✔️ 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲 𝗙𝗶𝘁 — Can you use it, or just test it?

Claude won this 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲 (see yesterday's post) because it does more than respond.

𝗜𝘁 𝗿𝗲𝗮𝘀𝗼𝗻𝘀—helping leaders work through decisions, not just generate text.

𝗖𝗼𝗽𝗶𝗹𝗼𝘁, meanwhile, ranks well — but it’s not as flexible outside the Microsoft stack.

Two other Top-10 examples (beyond ChatGPT/Claude/Copilot):

𝗚𝗼𝗼𝗴𝗹𝗲 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄 (𝗧𝗼𝗽 𝟭𝟬) — enterprise-grade training stack & ecosystem depth; the backbone for custom AI at scale.

𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲 (𝗧𝗼𝗽 𝟭𝟬) — model hub + pipelines that accelerate real builds; massive dev adoption and extensibility.

Want the full rankings + insights?

09/17/2025

𝗪𝗮𝗻𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽-𝗹𝗲𝘃𝗲𝗹 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝘄𝗵𝗲𝗿𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴, 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗯𝗿𝗶𝗻𝗴 𝘆𝗼𝘂 𝗩𝗶𝗰𝘁𝗼𝗿𝘆?

Use Case Snapshot: Why Claude Beat Copilot for This Leadership Team

A senior exec team at a media company used our Benchmark to guide AI selection.

Here’s what happened:
❌ They started with Copilot — familiar and integrated.
✅ Then they tested Claude — and it nailed long-form synthesis, team collaboration, and critical thinking.

They switched.

𝗪𝗵𝘆 𝗖𝗹𝗮𝘂𝗱𝗲 𝘄𝗼𝗻 (𝗱𝗮𝘁𝗮-𝗯𝗮𝗰𝗸𝗲𝗱):
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𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆 𝗲𝗱𝗴𝗲: 9.3 vs 8.8 (+0.5) for leadership tasks that demand reasoning & synthesis.

𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗲𝗰𝗼𝗻𝗼𝗺𝗶𝗰𝘀: Value for Money 9.0 vs 8.1 (+0.9) — better ROI for the specific use case.

𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝘆 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵: Claude ranks #2/47 (~96th %ile) in its category for Functionality; Copilot is #5/24 (~79th %ile) in its category.

𝗪𝗵𝗮𝘁 𝘀𝗲𝗽𝗮𝗿𝗮𝘁𝗲𝘀 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗶𝗻 𝗖𝗹𝗮𝘂𝗱𝗲’𝘀 𝗹𝗮𝗻𝗲: ~+2.08 over laggards on Accuracy, Flexibility, Integration, Speed, Automation, Multimodal — exactly what exec teams need for strategic prompts & long-form clarity.

𝗪𝗵𝗮𝘁 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝘀𝘁𝗶𝗹𝗹 𝗱𝗼𝗲𝘀 𝘄𝗲𝗹𝗹: Adoption & ecosystem: Popularity 9.2 vs 8.2 — best when your org is deep in M365 and needs cross-suite integration, governance, and scale.
Bottom line:

Copilot is great for stack-wide productivity. Claude is better for leadership-level decisions where reasoning, summarization, and context win the day.

09/16/2025

𝗧𝗵𝗲 𝗧𝗼𝗽 𝗔𝗜 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗼𝗳 𝟮𝟬𝟮𝟱 𝗔𝗿𝗲 𝗜𝗻
…and the results are not exactly as expected.

𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆: 𝗧𝗼𝗽 𝟱 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀 → 𝗧𝗼𝗽 𝟱 𝗧𝗼𝗼𝗹𝘀

𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 → Claude API (9.4), Azure OpenAI (9.2), GitHub Copilot (9.1), AWS Bedrock (8.9), Microsoft Copilot (8.8)

𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲𝗱 & 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹 → Claude for Work (9.2), Perplexity Pro (8.6), Harvey AI (8.3), Phind (8.2), Hippocratic AI (8.1)

𝗔𝗜 𝗗𝗲𝘃 & 𝗜𝗻𝗳𝗿𝗮 → Hugging Face (8.9), LangChain (8.7), Pinecone (8.5), Weaviate (8.2), Together AI (8.1)

𝗠𝘂𝘀𝗶𝗰 & 𝗔𝘂𝗱𝗶𝗼 → ElevenLabs (8.4), AIVA (8.3), Descript (8.1), Jukebox (8.1), Audiocraft (8.0)

𝗙𝗮𝗰𝗲 & 𝗔𝘃𝗮𝘁𝗮𝗿𝘀 → Wonder Studio (8.5), Inworld (8.2), Ready Player Me (8.1), Digital Humans (8.0), Replika (7.9)

We didn’t just score hype. 𝗪𝗲 𝘀𝗰𝗼𝗿𝗲𝗱:
✔️ Functionality (breadth, depth, integration)
✔️ Popularity (adoption, community, recognition)
✔️ Value (ROI, pricing, scalability)
✔️ Use-case fit (enterprise vs. consumer)
→ See the full breakdown in our complete Benchmark Report

09/12/2025

𝗧𝗵𝗶𝘀 𝗪𝗲𝗲𝗸’𝘀 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀 𝗔𝗿𝗲𝗻’𝘁 𝘁𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺. 𝗠𝗶𝘀𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝗜𝘀.

This week we uncovered the biggest blind spot in AI adoption:
👉 Most tools weren’t designed for your priorities.

𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁?
• Top-rated tools fall flat without clear use cases
• Teams overspend on functionality they’ll never use
• Enterprise buyers get stuck with tools that don’t integrate or scale

✅ The solution isn’t “more AI.” 𝗜𝘁’𝘀 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁, 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗽𝗿𝗼𝗽𝗲𝗿 𝗔𝗜.

That’s exactly what we unpack in the 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀 & 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗠𝗮𝗿𝗸𝗲𝘁 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝟮𝟬𝟮𝟱:
• 250+ tools, 12 categories, 40 criteria
• Rankings by Functionality, Popularity & Value for your buck$
• Insights that reveal what really differentiates top performers

𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝘁𝗵𝗲 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗲𝗲 → https://aiab.world
🎁 Plus: unlock free access to our 𝗔𝗜 𝗕𝗼𝗼𝘁𝗰𝗮𝗺𝗽 sessions (28 Tools in 7 days) this October.

“A𝘐 𝘢𝘥𝘰𝘱𝘵𝘪𝘰𝘯 𝘪𝘴𝘯’𝘵 𝘢𝘣𝘰𝘶𝘵 𝘴𝘵𝘢𝘤𝘬𝘪𝘯𝘨 𝘵𝘰𝘰𝘭𝘴. 𝘐𝘵’𝘴 𝘢𝘣𝘰𝘶𝘵 𝘢𝘭𝘪𝘨𝘯𝘮𝘦𝘯𝘵.” — 𝘌𝘳𝘪𝘤 𝘎𝘪𝘨𝘶è𝘳𝘦

09/11/2025

𝗔𝗻𝗼𝘁𝗵𝗲𝗿 𝗥𝗲𝗮𝘀𝗼𝗻 𝗪𝗵𝘆 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗙𝗮𝗶𝗹𝘀: 𝗠𝗶𝘀𝗮𝗹𝗶𝗴𝗻𝗲𝗱 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀

According to our 2025 Benchmark Report , enterprise leaders prioritize:

Functionality
Integration
Security
Team Productivity
Data Control

But many AI tools were 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗰𝗼𝗻𝘀𝘂𝗺𝗲𝗿𝘀 — not companies.

What matters to enterprises (like system integration and data control) often ranks lower in tool design compared to UX or speed.

⚠️ This misalignment leads to:
→ Poor adoption
→ Workflow friction
→ Wasted spend
→ Shallow integrations

How we help leaders fix this:
✅ Start with business-critical use cases
✅ Match tools to the right priorities
✅ Build around people + process, not just software

It’s 𝗻𝗼𝘁 about picking 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗽𝗼𝗽𝘂𝗹𝗮𝗿 𝘁𝗼𝗼𝗹𝘀.

It’s about choosing what actually works for your business.

Download the free Report Highlights
→ https://aiab.world

And yes — you’ll also unlock the 𝗔𝗜 𝗕𝗼𝗼𝘁𝗰𝗮𝗺𝗽 𝘀𝗲𝘀𝘀𝗶𝗼𝗻𝘀 for free in October.

“A𝘥𝘰𝘱𝘵𝘪𝘰𝘯 𝘴𝘶𝘤𝘤𝘦𝘦𝘥𝘴 𝘸𝘩𝘦𝘯 𝘵𝘰𝘰𝘭𝘴 𝘱𝘳𝘰𝘱𝘦𝘳𝘭𝘺 𝘢𝘭𝘪𝘨𝘯 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘮𝘪𝘴𝘴𝘪𝘰𝘯.” — 𝘌𝘳𝘪𝘤 𝘎𝘪𝘨𝘶è𝘳𝘦

09/10/2025

𝗧𝗼𝗼 𝗠𝗮𝗻𝘆 𝗧𝗼𝗼𝗹𝘀, 𝗧𝗼𝗼 𝗟𝗶𝘁𝘁𝗹𝗲 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀?

Let’s walk through a real-world scenario (based on composite client experience):

An early-stage SaaS company wanted to scale content production using AI.

𝗧𝗵𝗲𝗶𝗿 𝗶𝗻𝗶𝘁𝗶𝗮𝗹 𝘀𝘁𝗮𝗰𝗸:
✖️ ChatGPT + Grammarly + Jasper + Copy.ai + Writesonic
— Fast? Yes.
— Effective? Not quite.

𝗪𝗵𝗮𝘁 𝘄𝗲 𝗳𝗼𝘂𝗻𝗱:
🚫 Tools were overlapping
🚫 Nobody was trained on use cases
🚫 Marketing output felt generic
🚫 No workflow or system in place

𝗛𝗲𝗿𝗲’𝘀 𝘄𝗵𝗮𝘁 𝘄𝗲 𝗵𝗲𝗹𝗽𝗲𝗱 𝘁𝗵𝗲𝗺 𝗱𝗼:
✔️ Simplify to 2 tools: Claude for content, Grammarly for polish
✔️ Align use with real campaign needs
✔️ Build a repeatable workflow (brief → draft → refine → launch)
✔️ Measure output and iterate

𝗥𝗲𝘀𝘂𝗹𝘁:
→ 40% faster production
→ Better content performance
→ Less team confusion

Want to see how your team’s stack compares?

Download the free Report Highlights → https://aiab.world

Bonus: Free access to the AI Accelerator Bootcamp sessions in October.

“S𝘪𝘮𝘱𝘭𝘪𝘧𝘺 𝘵𝘩𝘦 𝘚𝘵𝘢𝘤𝘬. 𝘉𝘶𝘪𝘭𝘥 𝘚𝘮𝘢𝘳𝘵𝘦𝘳 𝘚𝘺𝘴𝘵𝘦𝘮𝘴.” — 𝘌𝘳𝘪𝘤 𝘎𝘪𝘨𝘶è𝘳𝘦

09/09/2025

𝗦𝘁𝘂𝗰𝗸 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀? 𝗪𝗵𝗮𝘁 𝘁𝗼 𝗗𝗼?

You bought the tools. But your team still isn’t using them.

Sound familiar?

You’re not alone.

We’ve seen 100+ leaders over the years — and most face the same internal blockers.
It’s not a tech problem.
It’s a clarity problem.

The 𝗧𝗼𝗽 𝟱 𝗔𝗜 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀:
1️⃣ No clear workflow use case
2️⃣ Misfit between tool and task
3️⃣ No internal champion
4️⃣ Lack of onboarding/training
5️⃣ Leadership overwhelmed by options

In a study by Wolters Kluwer:
➡️ While 𝟵𝟲% of executives say they want to integrate AI
➡️ Fewer than 𝟯𝟯% of employees have actually used AI tools
➡️ Only 𝟭𝟲% use AI at work weekly

Showing a 𝗵𝘂𝗴𝗲 𝗱𝗶𝘀𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗶𝗻 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻.
(This is the kind of stats that triggered our SIX:A1 AI Market Benchmark Report, 2025)

𝗪𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀?
✅ Diagnose workflow pain points
✅ Pick tools based on real use cases
✅ Pilot with one department
✅ Train the team for quick wins
✅ Build momentum before scaling

AI success doesn’t start with the tech.

It starts with alignment, clarity, and a smart rollout.

Download the free Report Highlights

𝗚𝗲𝘁 𝗰𝗹𝗮𝗿𝗶𝘁𝘆 𝗼𝗻 𝘆𝗼𝘂𝗿 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲
Bonus: You’ll also unlock access to our daily AI Accelerator Bootcamp sessions (in October)

👉 https://aiab.world

Write “AI Ready” in the comments if you want help diagnosing your team’s next step.

“AI adoption isn’t a tech upgrade — it’s a leadership decision.” — Eric Giguère

09/05/2025

𝗦𝘁𝗼𝗽 𝗰𝗵𝗮𝘀𝗶𝗻𝗴 𝘁𝗼𝗼𝗹𝘀. 𝗦𝘁𝗮𝗿𝘁 𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 & 𝘂𝘀𝗶𝗻𝗴 𝘁𝗵𝗲𝗺 𝘄𝗶𝘀𝗲𝗹𝘆.

→ Teams don't fail because of tools — they fail because they didn't choose properly!

→ This week, we shared how an eCommerce marketing team dropped 6 tools and doubled their content output using just two.

𝗧𝗵𝗲𝘆 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗱 𝗮 𝗰𝗹𝗲𝗮𝗿 𝗽𝗿𝗼𝗰𝗲𝘀𝘀:
• Diagnose their actual use cases
• Score tools based on fit
• Build a system — not just a list

→ The 2025 AI Tools Benchmark Report gave them the clarity to act with confidence.

→ This isn’t just about tools — it’s about better decisions on which tools to use.

→ Want that kind of clarity?

𝗪𝗲 𝗷𝘂𝘀𝘁 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝗼𝘂𝗿 𝟮𝟬𝟮𝟱 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀 𝗠𝗮𝗿𝗸𝗲𝘁 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸!

Drop “STACK” in the comments if you’d like help optimizing yours.

“S𝘪𝘮𝘱𝘭𝘪𝘧𝘺 𝘵𝘩𝘦 𝘛𝘰𝘰𝘭𝘬𝘪𝘵. 𝘉𝘶𝘪𝘭𝘥 𝘴𝘺𝘴𝘵𝘦𝘮𝘴 𝘵𝘩𝘢𝘵 𝘸𝘰𝘳𝘬.” — 𝘌𝘳𝘪𝘤 𝘎𝘪𝘨𝘶è𝘳𝘦

09/04/2025

Did you see this AI Market Benchmark Report? https://www.linkedin.com/posts/egiguere_ai-tools-solutions-market-benchmark-2025-activity-7369385184523157506-ekrY?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAAOPFcB_4ORr0IKauLZuAbFaZTrGR2GYic

09/04/2025

𝗪𝗵𝗶𝗰𝗵 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀 𝘁𝗼 𝗔𝗱𝗼𝗽𝘁... 𝘁𝗼 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲

You can use this eCommerce marketing team as an example.

See how they cut through the clutter:
🔹 Replaced 6 tools with 2 top-performers
🔹 Doubled content output
🔹 Reduced AI spend by 40%

They used our AI Tools Benchmark Report and saw how we:
✅ Score each tool based on real criteria
✅ Map tools to their business use cases
✅ Build a lean, effective stack

𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝘁𝗵𝗲 𝗳𝗿𝗲𝗲 𝗥𝗲𝗽𝗼𝗿𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 (7 / 67 pages) to see how the market is shaping up and how we think it will evolve in the coming years → https://aiab.world/
𝗕𝗼𝗻𝘂𝘀: You’ll also get free access to the 𝗔𝗜 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿 𝗕𝗼𝗼𝘁𝗰𝗮𝗺𝗽 daily sessions when it goes Live in October.

"Simplify the Toolkit. Build systems that work." — Eric G

Eric Giguere

09/23/2025

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09/16/2025

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