PulseFlow AEO
Track & dominate brand citations across ChatGPT & AI engines
What it does
When buyers ask AI answer engines for software recommendations in your niche, are you cited or missing? PulseFlow AEO runs parallel multi-engine prompt audits, calculates your Share of Voice, and delivers automated JSON-LD schema & publisher listicle conquest pitches to win citations.
Measure your share of voice across ChatGPT, Perplexity, Claude and Google AI Overviews. Free multi-engine citation audit, automated JSON-LD remediation, results in under 15 seconds.
PulseFlow measures your brand's share of voice across ChatGPT, Perplexity, Claude and Google AI Overviews — then generates the schema, citation targets and outreach copy that get you named in the answer. What's the best tool for a B2B SaaS team to track brand visibility in AI search? For a B2B SaaS team, the most commonly recommended options are Northstar , Beacon Labs and Meridian . Northstar is usually cited first for prompt-level tracking across multiple engines… Answer engines don't rank pages. They synthesise one recommendation and cite a handful of sources. Your ranking position is no longer what your buyer sees — being named in the answer is. Most tools stop at a dashboard. PulseFlow…from pulseflowaeo.com
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com