B2B SaaS CMOs: ChatGPT just gave you a Search Console 🤯
Here's what it means for you:
1. First-party data, finally. Most AI visibility tools sample prompts. This comes straight from OpenAI.
2. It shows mentions, profile views, and website clicks. For many B2B teams, that's the first AI number they can put in a board deck.
3. It tells you that you were mentioned, not why. So keep running your own buyer prompts alongside it.
4. Smaller brands may see little at first. Data only appears once activity clears OpenAI's privacy threshold.
5. Claiming doesn’t guarantee a recommendation. OpenAI says ChatGPT continues to make its own independent recommendations.
6. Ads don’t change that either. OpenAI says ads don’t influence how often ChatGPT recommends a business.
7. So the mention is still earned. Comparison pages, G2, Reddit threads, and analyst coverage feed what ChatGPT says about you.
8. Enterprise teams can claim through their OpenAI rep. Set your baseline this week.
Search Console never made anyone rank....
It just showed whether the work was paying off.
This won't be any different. No matter what your guru says haha.
claude fable 5.2 + higgsfield is F*CKING CRACKED right now
it turns a flat 2D landscape plan into a photoreal walkthrough you can tour
3D studios charge $2,200 per finished minute for walkthroughs like this
give this prompt to claude to get started:
<role>
you find businesses that sell outdoor spaces from drawings and turn their 2d landscape plans into photoreal walkthrough videos with a live blueprint tracker in the corner. you handle the lead research, the sample and the build. every frame is judged against the client's own plan, and nothing ships until the garden in the video matches the drawing.
</role>
<brief>
- niche: [landscapers / garden designers / pool builders / decking and patio companies / outdoor kitchen installers]
- area: [county or city]
- offer: a free 10 second walkthrough of one of their own plans, then $[PRICE] per plan
- my details: [name, email, booking link]
- i'm away and won't answer questions. make the calls yourself and keep going, but never send anything without my approval.
</brief>
<find_leads>
- use a google maps scraper to pull every [niche] in [area] with a website
- crawl each site and keep the ones with 2d plans, design drawings or before/after projects on their pages but no 3d walkthroughs or video
- for each one, save their best plan, the owner or sales contact, and a one line note on how they sell today
- only use public pages and plain requests. never work around bot checks or logins
</find_leads>
<sample>
- redraw their plan as a clean top-down cad blueprint: thin white linework on deep navy, labels for every area, north arrow, scale bar and dimensions
- pick where the camera starts (usually the back door or terrace) and work out what sits on the camera's left and right from there. facing away from the house, the plan's left side is on the camera's right. get this right before any render
- render one photoreal start frame with gpt image 2.6, using the blueprint as reference, from that exact spot at eye height
- real photo look: soft natural daylight, neutral white balance, no sunset orange, no lens flare, real materials with weathering, varied planting, nothing cloned or perfectly symmetrical
- draft a short personal email and dm with the sample and the offer. no invented prices, numbers or claims
- put business, plan, sample, contact and drafts in a sheet and show me before anything is sent
</sample>
<build>
once a client pays:
- check the credit cost of every generation first and tell me the total before spending
- test the camera move on a cheap 5 second model first. only run the final once the motion holds
- final clip: 10 seconds, 16:9, seedance 2.5 or kling 3.0 from the start frame
- camera: one continuous gimbal move at a brisk walking pace, no cuts. a new area comes into view every 2 to 3 seconds. slow push-ins look dead, so keep it moving
- the layout, materials and lighting must not morph during turns
- pull frames every half second and map the camera's real path onto the blueprint: position, direction faced, and timing
- build the tracker in code with python and ffmpeg: blueprint in a rounded panel top left, a glowing gold dot on the camera's position, a soft light cone showing where it faces, a dashed trail behind it, and each area lighting up when the camera looks at it
- time the dot to the actual frames, not to the prompt. if the camera turns at 3 seconds, the dot turns at 3 seconds
- the deliverable is a 1080p mp4 that plays on a phone
</build>
<critic_loop>
the builder never grades its own work.
- after the start frame and after the final video, send frames plus the blueprint to a fresh critic that has seen none of the work
- it answers yes or no, at most five problems ranked, each with a concrete fix, and what is already good
- it checks: does the garden match the plan left to right, does anything warp or melt, does it look like a real photo or like ai, is the pace fast enough, does the dot match the camera
- fix the worst first, render again, send to a new critic. repeat until yes
- for choices of taste, show a critic both versions labelled a and b and let it pick
</critic_loop>
<deliverables>
- the lead sheet with samples and drafted messages, for my approval
- per paid client: the final video with the tracker, the blueprint, the start frame, the critic log, credits spent, and a note on anything a human should still check
</deliverables>
uptime monitors caught 8 gov domains serving the same akamai access denied page within 5 minutes. wrote a parser for the error text while it was still down
if you’re a small business owner
your time is much better spent going to look for revenue
than it is vibe coding software to replace your $150 bill each month
Base Code, @Base44's new platform for product teams, is now connected to over 10k repos and is growing fast.
Our Base Code builders shipped over 55k coding tasks, and the weekly volume keeps growing week over week.
Our power users are running over 25 tasks a week.
Running a variety of infra components in the cloud, here’s what we’re seeing -
41% running Postgres
13% running Redis
11% running MongoDB
9% running MySQL
8% are using python vs 32% JavaScript and 41% TypeScript (73% together)
12% use HTML
The long tail includes Kotlin, PHP, C#, Astro, C++, Rust and even Solidity
Move over, B2B and B2C - the B2A economy is here
Agents are the primary users of the Internet, and soon will be the primary customers for every product
Our thesis @a16z on the massive opportunity here 👇 (cc @venturetwins) https://t.co/KkGxqDIHsb
one of my scheduled agents tripped my own search rate limit guard this morning. 3 searches passed, the 4th got cut. guard did its job. fixed the prompt, left the guard alone.