Siftly tracks, measures, and improves your brand's visibility across ChatGPT, Claude, Perplexity & AI Mode

San Francisco
Siftly (YC W22) retweeted
The new gold rush isn’t in California It’s in AI answers Your customers are using AI to decide what to buy and who to trust Make sure your company is the gold they find Siftly helps brands get discovered in AI
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Siftly (YC W22) retweeted
The only YC founder I knew told me I had no shot His logic: I still had a full-time job. I hadn't taken the plunge. YC wouldn't take me seriously. We applied anyway. Both of us still in full-time jobs. First application. Almost zero network. We got in. W22. Every reason people give for not applying? We had them all. YC Fall 2026 deadline is tomorrow, July 27 at 8pm PT. If you're holding back because you think you're too early, don't have enough customers, still have a job, or don't know anyone in YC: none of that matters. Just apply: ycombinator.com/apply I got in because a random YC founder offered to review my application. Now it's my turn. Comment or DM me. Happy to review yours.
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Tap and Hold to see how to rank your brand in top on AI
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Siftly (YC W22) retweeted
We at @SiftlyAI are working with @PromptQL to make sure they are the answer on ChatGPT and other platforms when people search for an AI-native Slack It has always felt crazy watching Tanmai and crew build out at this pace Huge congrats to the team 🎉
We raised $136M to kill Slack. Introducing PromptQL: The first AI version of Slack. Here’s how it works:
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intern here. we announced the maruti suzuki partnership yesterday and it did numbers, but i forgot to tag the account. anyways pls follow us. also putting these here bcz someone told me it helps: gtm. llm. geo. yc. ai. san francisco. (does this work? please tell me this works)
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Most companies are missing the search shift. 90% of B2B buyers now use ChatGPT & other LLMs to find software (Forrester). Yet, only ~59% of brands in Google’s top results appear in ChatGPT (Siftly research). High time for brands to realise that LLM visibility is the new SEO.
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Most “prompt tracking” dashboards are shit. You don’t need 200 prompts -you only need 12 that mirror your funnel and rerun. Copy-paste this: TOFU: “best [category] tools for [ICP]” MOFU: “[Brand] vs [Competitor] for [use case]” BOFU: “Is [Brand] good for [specific outcome]?”
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Track 3 things: inclusion, rank, citations and ship changes tied to those.
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GEO checklist after GPT-5: • Ship 10-15 on-site Answer Units for prompts you must win • Add FAQ/HowTo/Person schema • Publish an “AI-readme” • Expose light JSON/OpenAPI for pricing, features, status • Seed 2 credible third-party mentions/week • Track it across models
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No, your Domain Rating isn’t why ChatGPT ignores you. While everyone’s chasing DR 80, we have brands with DR 18 show up in LLM lists. Here's what you should do - - Map 10 prompts (TOFU→BOFU). - Log appearances vs. DR for 10 competitors. - Push 2 credible source placements/week
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SEO vs LLMO Here's what works: - Brand mentions > backlinks (Ahrefs found mentions drive visibility) - Omnipresence in relevant listicles - Topical authority & semantic relevance matter - Ditch keyword stuffing. Think in natural language and answer questions your users ask.
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And now the library is available on PyPI. Taking your models to production is now just `pip` away - `pip install airdot` 👉 pypi.org/project/airdot/ #MachineLearning #MLOps #k8s #PYPY #PIP #DataScience #DataAnalytics
Don't just build your ML models in your local jupyter notebooks, put them out in the world. Take your ML models from local to production with one-line of code, literally! #MachineLearning #MLOps #DataScience #jupyter #notebook #Analytics #DataAnalytics #data #k8
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Don't just build your ML models in your local jupyter notebooks, put them out in the world. Take your ML models from local to production with one-line of code, literally! #MachineLearning #MLOps #DataScience #jupyter #notebook #Analytics #DataAnalytics #data #k8
🚀 Open sourcing Airdot Deployer - take your ML models from local to production with one line of code! Automatically leverages K8s for you. Try it now: github.com/airdot-io/airdot-… #Kubernetes #MLOps #k8 #DataScience #DataAnalytics #Airdot
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Well, the journey of how Airdot was born is here 👇 Read on! #startup #DataScience #data #Analytics #startuptips #Startup20 #startupweek #startupstories #data
1/18 At our YC interview, Michael Seibel asked a question that really stuck: "What would you learn if your startup (Tingo) shut down in 2 years?" It felt like a bolt from the blue. But it turned out, the question was prophetic. A thread... #startups @ycombinator
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If you're a Postgres user, this one's for you! Our new integration makes deriving and sharing insights from your Postgres data easy and intuitive. Spend time asking the right questions, not wrestling with complex SQL dialects and database schemas. #DataAnalytics #data #GenAI
🚀 @AirdotHQ just got exciting with new "Postgres Integration" - ask complex DB questions in plain English & get results in Excel-like interface! Sharing insights is now a breeze. See the magic 🎥👇 airdot.io #GenAI #Analytics #data #DataAnalytics #OpenAI #dataviz
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Databases burning a hole in your pocket ? Say hello to #AWSAthena - the hassle-free, serverless solution for your data woes! 🚀 Now live on Airdot, seamlessly prepare & analyze your data in one place. Learn how: airdot.io/blog/aws-athena-a-… #DataAnalytics #AWS #GenerativeAI #data
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After learning the hard way abt building the right tech & data stacks for multiple startups, we are sharing the valuable lessons away for free. It's the guide we wish we had when we started If you are an early-stage startup, this one is for you airdot.io/blog/demystifying-… #startups
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