Claude Is Almost Tied With ChatGPT. Are You Measuring Either?

Is Claude Actually Better Than ChatGPT for Your Marketing Work?

For most of 2023 and early 2024, ChatGPT was the default answer to that question. That's no longer true. A Basis Technologies survey of 184 marketers found ChatGPT at 74.5% adoption and Claude at 72.3%. That's not a gap, that's a near-tie. The more important number buried in the same report: only 6.5% of those marketers measure AI returns against defined benchmarks. So the real question isn't which tool is better. It's whether you know if either is working.

Why Is Claude Gaining Ground So Fast?

Claude's climb isn't accidental. Anthropic has made a deliberate bet on longer context windows, stronger instruction-following, and outputs that require less cleanup on first pass. For marketing work specifically, those things matter. If you're drafting campaign briefs, editing landing page copy, or summarizing research, a model that stays on task and doesn't need three rounds of correction is worth switching for.

That said, "better" is task-dependent. ChatGPT's ecosystem is still larger, its integrations are more mature, and GPT-4o handles multimodal inputs (images, voice, documents) in ways Claude is still catching up to. Gemini is also in the mix for teams already inside Google Workspace. The right answer for your business depends on the actual workflows you're running, not on which model is winning a survey.

What Does 51.1% Agent Adoption Actually Mean?

The Basis data has another number that should get your attention: 51.1% of surveyed marketers are already running AI agents. That means more than half are using AI that takes actions, not just answers questions. Scheduling, publishing, researching, drafting and sending, all without a human in the loop for every step.

Automation at that scale, without measurement, is how you scale mistakes.

If you're running agents and you're in the 93.5% who aren't measuring outcomes, you have a compounding problem. Every week the agent runs unchecked, you're either compounding gains you can't prove or compounding errors you haven't caught. Neither is a good position for a business that needs to defend its marketing spend.

How Should an SMB Owner Actually Compare These Tools?

Forget the benchmark wars. Here's a practical framework for evaluating AI tools against your actual work:

Step 1: Pick three real tasks

Don't test on made-up prompts. Use something you did last week: a client email, a campaign brief, a competitor summary, a social caption series. Run the same prompt through ChatGPT, Claude, and if relevant, Gemini. Score the outputs on accuracy, tone, how much editing was required, and time saved.

Step 2: Assign a dollar value to the time

If a task takes 45 minutes manually and 10 minutes with AI assist, that's 35 minutes saved. Multiply by your hourly rate or your team member's fully-loaded cost. Do this for your top five recurring tasks. Now you have a number, not a vibe.

Step 3: Track it for 30 days

Most teams run one tool for two weeks, decide it's "working," and never revisit. That's not measurement. Set a simple log: task, tool used, time spent, output quality score (1–5), edits required. At the end of 30 days you have actual data.

Here's a quick comparison of where each major tool currently stands for SMB marketing use:

| Tool | Strengths | Weaknesses | Best for | |---|---|---|---| | ChatGPT (GPT-4o) | Broad integrations, multimodal, large plugin ecosystem | Can be verbose, hallucinations on niche topics | Research, image tasks, wide workflow coverage | | Claude (Sonnet/Opus) | Strong instruction-following, long context, cleaner first drafts | Fewer integrations, no image generation | Long-form copy, complex briefs, document analysis | | Gemini | Deep Google Workspace integration, real-time web access | Less consistent tone, still maturing | Teams in Google ecosystem, live research |

Why Are So Few Marketers Actually Measuring ROI?

The 6.5% measurement figure is striking, but it makes sense when you understand how AI adoption usually happens in SMBs. Someone on the team starts using ChatGPT for their own work. It spreads informally. The business adds a paid seat. Then an agency or vendor pitches agents on top. At no point did anyone sit down and define what "AI working" looks like for this business.

This is the same pattern that played out with social media management tools, CRM platforms, and marketing automation a decade ago. The tools spread faster than the discipline to evaluate them. The businesses that came out ahead were the ones that got boring about measurement early.

Paying for Claude Pro runs $20 per month. ChatGPT Plus is also $20 per month. Both are cheap enough that most SMBs don't scrutinize them the way they would a $500 per month SaaS tool. That's a mistake. It's not about the subscription cost; it's about the staff time being routed through these tools and the decisions being shaped by their outputs.

Should You Run Both ChatGPT and Claude?

For most SMBs with fewer than 50 employees, running both at the individual subscription level is fine if different team members have genuine workflow reasons for each. What doesn't make sense is paying for both out of habit, or because someone read an article saying Claude is better now.

If you're considering enterprise tiers or building agents, the calculus changes. At that level you're making API decisions, not just UI decisions, and the cost and capability differences matter more. That's a different conversation from which chatbot your marketing manager prefers.

What we'd actually do

• Audit before you add. Before renewing any AI subscription or adding an agent layer, list the five tasks your team actually uses it for. If you can't name five, you're paying for a tool you haven't operationalized.
• Set a 30-day measurement baseline. Build a simple log (a Google Sheet is fine) tracking task, tool, time saved, and output quality. Do this for one month before making any tool-switching decisions. Six percent of marketers do this. Be in that six percent.
• Join the community if you want the frameworks. We cover AI tool evaluation, agent setup, and ROI measurement with real SMB operators at skool.com/aiforbusiness. This is exactly the kind of decision we help members work through before they spend more money.