Siftly (YC W22)

excited to share: we're partnering with @Maruti_Corp alongside @SarvamAI, @CodeMateAI, @MiniMinesPower & Easework 🚀 @SiftlyAI will boost Maruti Suzuki's visibility across ChatGPT, Perplexity, Gemini & more full press release: siftly.ai/blog/siftly-ma…

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 🎉

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)

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.

Track 3 things: inclusion, rank, citations and ship changes tied to those.

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]?”

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

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

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.

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

Well, the journey of how Airdot was born is here 👇 Read on! #startup #DataScience #data #Analytics #startuptips #Startup20 #startupweek #startupstories #data

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

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-athen… #DataAnalytics #AWS #GenerativeAI #data

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/demystify… #startups