Tal Shaked

After 250+ hours researching AI agents, I realized most agencies are missing the biggest opportunity in GTM automation. Here are the 8 categories actually worth using: 1️⃣ Agent Builders Relevance AI, Relay.app, n8n, Dify Automate your manual processes. We've saved hundreds of hours. 2️⃣ Scraping Agents Clay's AI Agent, Browserbase, Gumloop, Apify Extract data your competitors can't access manually. 3️⃣ MCP Servers Connect Claude to Slack, Notion, Gmail, Stripe Control all your work through one chat interface. 4️⃣ AI SDRs Artisan, Valley, 11x, AiSDR Actually decent outputs. Still need manual review. 5️⃣ GTM Co-Pilots Instantly.ai, Unify, Copy.ai, Bardeen Build entire campaigns just by writing prompts. 6️⃣ Sales Agents Attention, Attio, Gong, Momentum.io Gather insights from CRM and call transcripts. 7️⃣ Research Agents Claygent, Linkup, Airtop, Exa Deep account research at scale. 8️⃣ List Building Instantly.ai, Openmart, Exa Build prospect lists automatically. Most agencies use these in isolation, but we connect everything into our GTM flywheel. Enjoy this? ♻️ Repost it to your network and follow for more AI GTM content.

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When our search traffic started dropping about two years ago, we doubled down on SEO: did more primary research, published more content, updated content more frequently. And still, our Google traffic didn't grow. At first, it was probably just the algorithm & competition muting our extra effort. But as gen AI rolled out in search, it became clear: search engines becoming answer engines were killing the economics of educational SEO. Our blog content had always been a key pipeline driver. It generated search traffic and product signups. More importantly, it built up our domain authority up & helped us rank product-related content. We had a limitless amount of content we could create. Our 100+ integrations gave us an endless amount of topics. We published 5x/week at our peak.   But now, AI started giving those answers directly, without ever sending them to our site. Two quarters ago, we made a hard-right shift. We stopped fighting for Google scraps. And started showing up where conversations were actually happening. 👉 I went all-in on LinkedIn publishing. We began planning a small number of multi-format, multi-channel campaigns. We did more on other social sites, especially Youtube. But measuring impact? That’s where things got tricky. Getting someone to click from social to our website: not easy. The traditional marketing attribution models didn't capture the full picture.   So we built a new approach: 1. 𝗢𝗻-𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝗶𝗴𝗻𝗮𝗹𝘀. Impressions, engagement, follower growth. These tell us what content is resonating. It’s hard to prove that reach & engagement drive business, but it certainly gives direction on what content and topics might inspire action. 2. 𝗗𝗶𝗿𝗲𝗰𝘁 𝗮𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻. We still link to other content (events, research reports, surveys, dashboard templates, etc). We have no shortage of offers that can drive a conversion and we don’t have a problem creating social content that highlights those offers in interesting ways. 3. 𝗦𝗲𝗹𝗳-𝗿𝗲𝗽𝗼𝗿𝘁𝗲𝗱 𝗮𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻. We ask everyone who signups for our product, “How did you hear about us?”  It’s not perfect since they could lie on that form just to get past it, but the data is pretty consistent month over month. (If you want to see this data, follow me and click the bell. I’ll be sharing it.) 4. 𝗕𝗿𝗮𝗻𝗱𝗲𝗱 𝘀𝗲𝗮𝗿𝗰𝗵. Most readers don’t engage publicly on social media. But they remember. And weeks or months later, they show up in our CRM via branded search or a direct visit. Today, we get about ~27% of our signups from social media. So yeah, the shift worked. Not because social publishing replaces SEO. It's actually harder. But because it does something SEO no longer can: build preference before someone is even looking. PS. Wanna know if you're ahead or behind in transitioning your marketing strategy? We'll be revealing data we've collected from 300+ companies next week. Register for a seat -> https://lnkd.in/ePXBt9Mj

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ASO doesn’t work in isolation anymore — those days are long gone. Yes, a few companies still live mostly on organic (and I admire that). But in most cases, ASO needs to work hand-in-hand with growth and marketing. It’s not about running separate tracks. It’s about alignment. Paid, organic, brand, product — they all feed into ASO, and ASO feeds back into them. When ASO is siloed, opportunities get missed. Make it a central part of the growth engine, and results will follow. #AppStoreOptimization #ASO #GrowthMarketing #MarketingStrategy #MobileMarketing #ProductMarketing #UserAcquisition #OrganicGrowth #GrowthMindset

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SEO & AI Tip: Agentic Buying Is Now Open to Everyone, not just ChatGPT. The ability to complete purchases through AI agents just took a big step forward yesterday. OpenAI & Stripe announced yesterday the Agentic Commerce Protocol (ACP) and that it is now live and open to everyone to build with. That means Agentic checkout that OpenAI just announced for ChatGPT can be built into your own websites, applications, and agents. Think AI-driven transactions that actually complete purchases without needing to click through pages or rely on traditional UX flows. This changes what’s possible for e-commerce teams building AI into their products. Here’s what just became possible: 1 - You can add a shopping agent to your own site trained on your inventory, pricing, and order APIs. 2 - The user can interact via text, voice, or image and the agent can handle the transaction end to end. 3 - You don’t need to rebuild your store, ACP works with your existing infrastructure and a payment processor that supports it (Stripe is already supported). 3 - Any agent, from an on-site assistant to a mobile app, can initiate checkout in a standardized way with you still owning the customer and fulfillment Here is a potential example: Large E-commerce Site With a Visual Concierge Let’s say you run a major e-commerce site in fashion, furniture, or auto parts. A shopper lands on your homepage and uploads a photo of the item they want, maybe a jacket from Instagram, a sofa leg they broke, or a specific wrench that fits their mower. Your on-site AI concierge kicks in: - Converts the image to a vector embeddings to match it against your inventory - Verifies availability, size, and price - Suggests alternatives if the exact match is not in stock - Then calls your ACP checkout endpoint, passes a secure payment token, and places the order No need to browse, filter, add to cart and add payment information. Just ask for it and buy it. Why This Matters for SEO Optimizing your site content, product inventory, imagery, and anything that can help make Agents more easily find the right product for those searching via agents will directly impact how Agents find and recommend your products. Make sure its clear in your data, text and imagery who your ideal customers are for each product to help Agents better match them to the people they're acting on behalf of. Why This Matters for Brands Most brands think of AI assistants as a front-end tool for discovery or support. ACP flips that around. We know that speed to purchase has a huge impact on e-commerce transactions. This may make it even easier and faster for people to find what they want. With ACP: - You remain merchant of record - You control fulfillment, returns, and data - You open up your site to new shopping patterns: mobile agents, voice shopping, post-purchase reordering, concierge style product finders This protocol makes agentic commerce a real channel not a side project.

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What's changed in ecom SEO? Google turned search results into a shopping mall. After analyzing 35,000+ shopping queries, here's what happened in 2025: - AI Overviews replaced traditional product grids - Image packs jumped from 60% to 90% of searches - People Also Ask features increased while Reddit/forum content declined - Videos are getting pushed out by visual content Here's what to do: 1. Search your products in ChatGPT, Claude, and Google AI Mode - screenshot every mention or absence 2. Update your top product images with better alt text and lifestyle shots showing products in use 3. Add structured data markup to all product images 4. Convert your buying guides into FAQ format with clear questions and answers 5. Create "People Also Ask" style questions on product pages 6. Build comparison content using "X vs Y vs Z" format 7. Track your brand mentions in AI Overviews, not just organic rankings 8. Add schema markup for FAQs, products, and reviews 9. Focus on structured, scannable content over long-form descriptions 10. Optimize for conversational queries like "help me find" vs "what is the best" The brands winning aren't the ones with the best products they're the ones with the most AI-friendly content structure. P.S. At Taco, we help you rank on LLM's. If you need an audit on how you are ranking, dm me with the word 'Search' and we'll conduct an entire site audit. P.P.S. What is the ROI from your content team?

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