OpenAI positions GPT-5 as a single unified system with “thinking” modes, an automatic router that chooses how much reasoning to apply, and smaller “mini” variants that handle overflow when limits are hit. Free users get access, but usage is throttled compared with paid tiers. (OpenAI, OpenAI Help Center)
Key, load-bearing facts you should know before testing:
- Free ChatGPT accounts can send up to 10 messages every 5 hours; after that the chat will route to a mini model. (OpenAI Help Center)
- ChatGPT plans have fixed context windows in ChatGPT: Free = 8K, Plus = 32K, Pro = 128K (API/model variants can accept much larger context lengths). (OpenAI)
- If you need extremely large context windows (millions of tokens), Google’s Gemini Pro/2.5 advertises a 1,000,000 token context option in AI Studio. Use Gemini for truly massive single-session uploads. (blog.google)
Step-by-step tests (so you can reproduce them)
Below are the exact steps I used for each case, plus sample prompts and lessons.
Case study A — Logo redesign (result: fail / underwhelming)
Goal: Upload an existing logo and ask ChatGPT 5 to create 5 improved logo variants.
Steps I followed
- Open ChatGPT, start a new chat and attach the original logo file (PNG).
- Prompt used (copy / paste):
Act as a logo designer. I attached my current logo. Create 5 distinct, professional logo concepts inspired by the attached file. For each concept provide: - Short name (one line) - One-sentence rationale - Suggested font pairing - Color hex codes (primary + secondary) - A downloadable SVG or exact instructions to recreate in vector form. Output only JSON with 5 items. - Send prompt and wait for images / SVG output.
Outcome & why it failed
- ChatGPT 5 produced a single, plain textual logo option with spelling issues and no proper vector output. The model struggled to generate polished, multi-variant design files from a simple prompt.
- Image/vector generation remains a weak point when you need production-ready logos; ChatGPT can generate ideas but not reliable final art. (Your experience may vary—image model rollouts differ by account/region.) (OpenAI)
Actionable tip
- For logo design, use a dedicated image generation or vector design tool (DALL·E / Midjourney / Illustrator) and ask ChatGPT to produce specs (color palette, fonts, SVG pseudo-code). If you want better output from ChatGPT: ask for SVG code explicitly and constrain style examples (name 2–3 reference logos).
Better prompt (logo specs only)
Act as a brand designer. Describe 5 logo concepts inspired by the attached image. For each: name, 1-line rationale, 2 hex colors, 1 font family, and minimal SVG markup (no images, pure vector shapes). Return JSON only.
Case study B — Shopify CRO audit (result: pass)
Goal: Get a conversion-rate optimization audit for a product page (screenshot attached).
Steps I followed
- Capture a full-page screenshot of the product page (browser extension) and attach it to ChatGPT.
- Prompt used (copy / paste):
Act as a Shopify CRO expert. I attached a screenshot of a product page with low conversions. Provide: 1) Five specific, prioritized actionable recommendations to increase conversion rate. 2) For each recommendation, give implementation steps, the psychological principle (e.g., social proof, urgency), and an estimated impact (low/medium/high). 3) Two A/B test ideas for each recommendation. Output in a clean numbered list. - Review audit and pick changes to implement.
Outcome & why it passed
- ChatGPT quickly returned focused, practical suggestions: add authentic reviews, clear urgency/stock cues, lifestyle hero images, highlight free delivery, and enrich benefit-driven descriptions. It also explained the psychological reasoning (social proof, scarcity, value stacking) and provided concrete implementation steps — very useful for an actionable CRO checklist.
Actionable tip
- Use the model’s recommendations as a prioritized checklist. Implement changes in small AB tests and measure conversion lift. For visual alterations (hero image, countdown bars) combine ChatGPT output with designer/dev work.
Case study C — Full SEO content blueprint (result: mixed)
Goal: Ask ChatGPT to create a pillar post + cluster blueprint for the keyword zero waste kitchen.
Steps I followed
- New chat. Prompt used (copy / paste):
Act as an SEO strategist for a WordPress blog about eco-friendly home living. Pillar keyword: "zero waste kitchen". Provide: - SEO-optimized pillar post title (<= 60 chars) + meta description (<=155 chars) - Detailed H2/H3 outline for the pillar post (clear hierarchy) - 3 cluster post ideas with short descriptions - 10 long tail keywords to sprinkle across the cluster Format as Markdown with headings. - Inspect the generated outline and headings, and fix hierarchy if needed.
Outcome & why it was mixed
- ChatGPT returned strong topic ideas, meta descriptions, and useful long-tail keywords. But heading hierarchy was sometimes sloppy (oversized H1 and inconsistent H2/H3 structure), so I had to edit the outline for correct on-page SEO structure. The model gives a great first draft, but you must validate headings, character counts, and on-page SEO constraints manually.
How to prompt for better headings
Return only the page title (<=60 chars) and a clean H2/H3 outline in Markdown. Ensure exactly one H1, 3–5 H2s, and 1–3 H3s under each H2. Do not exceed 60 chars for title and 155 for meta description.
Practical recommendations — which plan or model to use
- Casual / quick queries: Free tier works for short, conversational tasks but is limited by 10 messages per 5 hours and an 8K token context window — fine for Q&A and short edits. (OpenAI Help Center, OpenAI)
- Regular power users: Plus (32K context) is a decent middle ground for larger documents and more messages. (OpenAI)
- Heavy context or developer work: Pro (128K in ChatGPT) and the GPT-5 API (larger API context) are best; for massive single-session uploads (code repositories, books), Google Gemini Pro / 2.5 advertises 1,000,000 token windows via AI Studio. Use Gemini when you truly need million-token sessions. (OpenAI, blog.google)
SEO-friendly blog checklist (how to publish this post)
- URL slug:
chatgpt-5-review-tests-logo-shopify-seo - SEO title (H1): ChatGPT 5 Review: Tests & Step-by-Step Guide for Logo, Shopify CRO, and SEO
- Meta description: Tested ChatGPT 5 on logo redesign, Shopify CRO, and SEO blueprints. Learn exact prompts, message limits, context windows by plan, and when to use Gemini for giant uploads. (140 chars)
- Use primary keyword in the first 50–100 words and in one H2.
- Add structured data:
Articleschema with author, publishDate, and readingTime. - Images: include screenshots of prompts + before/after product page (use alt text like “ChatGPT 5 Shopify CRO audit screenshot”).
- Internal links: link to your Shopify app/product page (if relevant) and to other AI tool comparisons.
- External citations: link to OpenAI help/pricing and DeepMind Gemini pages (I included sources above). (OpenAI Help Center, OpenAI, blog.google)
FAQ (short)
Is GPT-5 AGI?
No credible organization has declared GPT-5 to be AGI. OpenAI presents GPT-5 as a much more capable reasoning model, not as AGI. (OpenAI)
Why did my free ChatGPT suddenly stop working?
You likely hit the free-tier message limit (10 messages per 5 hours). After the limit, ChatGPT routes you to a mini model until reset. (OpenAI Help Center)
Which model should I choose for huge uploads like a codebase?
If your project needs truly massive context in one session, test Gemini Pro/2.5 in AI Studio (1M token context). For most development and reasoning tasks, GPT-5 Pro or the GPT-5 API with its larger API context are suitable. (blog.google, OpenAI)
Final thoughts
GPT-5 is a meaningful step forward in AI reasoning and usefulness — but the user experience depends heavily on plan limits and which variant you get routed to. For everyday content work and audits, it saves time and gives concrete next steps; for high-quality visual design or massive single-session context jobs, pair it with specialized image tools or a model with a bigger context window.
