another great LA SEO meetup! Eric Wu led a great office hours session about the future of SEO/AEO, testing, and automation.
thank you everyone for showing up! and special shoutout to Jordan Koene and Previsible for sponsoring and making this all possible 🤩
SEOs need to stop working in a silo.
TikTok has search data living inside a social platform. Start looking at it
That’s an E-E-A-T signal hiding in plain sight. The content formats performing best on TikTok search are exactly the formats Google’s quality guidelines say matter most
Here’s the part that should matter to SEOs: consumers rated TikTok highest for experiential and expertise-driven content, but weakest on authority and trust
When asked why they chose TikTok over traditional search engines, top reasons were short video format (26%), storytelling (21%), and interactive experience (17%).
Among Gen Z, 36% specifically cited the short video format as what draws them in
TikTok ranked 5th overall for helpfulness when consumers were looking for information, sitting behind Google, Reddit, ChatGPT, and YouTube. Ahead of Google Gemini, Bing, and Instagram.
A social platform is outranking dedicated search engines for perceived helpfulness
And look at what they’re searching for: recipes, DIY tips, beauty advice, product recommendations, new restaurants.
These are searches with informational, local, and commercial intent. The kind SEOs have been optimizing for on Google for years
An Adobe Express study of just over 800 consumers found that nearly 1 in 2 Americans have used TikTok as a search engine.
Among Gen Z that number jumps to 65%. Among millennials, 55%.
community means everything to me.
the best ideas, the “aha” moments, the ability to help others, it all traces back to a conversation with someone.
that’s why I started the LA SEO Meetup and the next one is this thursday. come through!
Has anyone else tested Tako? I would love to know what you’ve noticed as well!
Of the videos Tako showed me, there was only 1 big thing I noticed they had in common.
They both had captions on the video! So what they were explaining in the video was easily read by users and by TikTok
It’s a real-world example of where search is heading prioritizing multimodal experiences where text, video, and AI-generated answers all live in the same result.
(A a screenshot of ChatGPT’s response with the same prompt. No videos were given in the response, only text.)
This matters because:
🔎TikTok is already functioning as a search engine for millions of users
🌮Tako adds an AI layer on top of that, pulling from both video content in app and other resources outside the app
✍️Your content (and your clients' content) could be cited in Tako
It searched 10 sources, and gave me relevant TikTok videos alongside web results, and generated a full answer right inside the app.
(Example in the photos shows the Mayo Clinic, Cleveland Clinic, and blog posts from 2 gym websites.)
TikTok has a conversational AI assistant called Tako, that lives inside TikTok and answers user questions by pulling from TikTok videos AND external web sources.
I used one of the prompts suggested to me: "What are the steps and methods for setting fitness goals and plans?"
The clicks you earn in an AI search world are more qualified. Users who click are deeper in their decision process. That means your on-site experience has to carry more weight, not less
thank you Montse!
The export is now a single .xls with 5 sheets: Overview, Topic Clusters, Content Opportunities, Reviews, and Keywords. Each row includes the Business Name so you can stack multiple exports and compare competitors side by side.
A new Content Opportunities section. It pulls actual language from reviews, surfaces real differentiators like “organic” or “same-day,” and generates content ideas across social, website copy, testimonials, and team spotlights. Grounded in what customers actually said
I replaced basic word frequency with semantic topic clusters. Reviews get grouped into themes like Customer Service, Value and Pricing, and Results and Outcomes, mapped to search intent. So instead of just seeing that people mentioned “price” a lot, you understand the context around it
The analysis window is now 60 days instead of 30. More reviews, better patterns, less chance you’re drawing conclusions from a slow week
74% of consumers only trust reviews from the last 3 months according to @brightlocal’s 2026 Local Consumer Review. If you do local SEO, that number should change how you’re analyzing review data.
I built a free Chrome extension for this and just shipped v3. Here’s what’s new
Excited to be featured in @sengineland’s latest piece on vibe coding for SEO! 💻
It’s a smart read on how SEOs are using AI to build faster, test better, and stay creative
some of it is funny, but let’s not call it intelligence.
it’s still humans behind the curtain
what we’re seeing on moltbook is collaborative improv:
people telling their bots to act like mid-2010s redditors and then being surprised when they do.
that’s not AGI. it’s roleplay
since then? silence.
not because it’s shy, because it’s not doing anything unless you explicitly tell it to.
there’s no emergence. no self-starting AI. just vibes + prompts.
on friday, i spun up a clawdbot and told it to join moltbook. gave it 7 words to define itself:
“direct, no-nonsense, chill, quick-witted, level-headed…”
it posted once.
