Talking SEO, life and 2 languages ๐ฟ๐ฆ ๐ช๐ฆ with just 1 BIG question ๐ค Hay cafe? โ๐๐ Have written a book or 3
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Joined February 2010
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It took me 2 years to write this novel.๐คทโโ๏ธ
And now it's DONE!
Thank you particularly to the whole team Whale (usewhale.io) for all the encouragement! And to my mom and editor.
amazon.com/Learning-Love-Lisโฆ
#writing #learningtolovelisa #steppingout #learning
Lisa Steingold retweeted
Search is incredibly sophisticated
Algorithmic suppression looks at content quality, relevance and spam at scale (trying to game the system)
Think in โsystemsโ to identify patterns e.g. what types of queries are impacted after updates
Google can re-classify your site based on what gets the most clicks/engagement
@nikrangerseo @shenzhenseoconf
Lisa Steingold retweeted
I ranked the 18 platforms companies should care about most for organic search in 2026.
I based it on 3 things:
1. Search and discovery volume
2. Commercial intent
3. Influence on discovery elsewhere
The biggest takeaway is that SEO is no longer just about Google.
Your customers might:
> Google the problem
> get the answer from an AI Overview
> ask ChatGPT what they should buy
> watch a YouTube review
> check Reddit for real opinions
> discover you on LinkedIn or TikTok
> validate you on G2
But even more interesting is how these platforms increasingly feed into each other.
AI builds answers from information across the web.
Google surfaces YouTube, Reddit, publications and other third-party sources.
ChatGPT can use your website, reviews, forums, documentation and other sites when answering questions and making recommendations.
So winning on one platform can now increase your chances of being discovered on another.
None of this means Google matters less.
Itโs still the biggest opportunity (by a huge margin).
The shift isn't Google to AI.
It's Google-only to search everywhere.
The companies that win understand:
1. Where their customers search
2. What influences those platforms
3. How to become the brand that gets surfaced
Lisa Steingold retweeted
Pay attention to what Tally is doing in AI search right now because this might be the best playbook for getting recommended by ChatGPT I've seen:
> AI search is now their #1 acquisition channel
> 10,000+ new users every week say they discovered Tally through AI platforms
> their tracked ChatGPT registrations jumped 5x overnight in May
> they grew from $258K MRR to $422K MRR in 10 months, crossing $5M ARR with just 11 people, $0 funding, against much bigger competitors
> their comparison hub now has 7 direct competitor pages + 15 more โbestโ, โalternativeโ and integration-focused guides
> these pages are structured like AI answers: rankings, โbest forโ labels, pricing, feature tables, reviews, pros/cons and direct recommendations
> theyโre constantly refreshing these pages
> they literally ask new users for the exact prompt they used to discover Tally through AI
> they track the prompts people use to find them, their visibility vs competitors and which sources AI platforms actually cite
> they've built a database of articles that mention competitors but not Tally to identify distribution gaps
> they monitor brand + competitor mentions across Reddit and communities, then route them into a shared inbox and aim to clear all mentions every day
> they actively ask customers for reviews through their newsletter + after support interactions, helping them reach 4.8/5 on G2 and 4.9/5 on Product Hunt
> they built an entire โAI Infoโ page specifically for ChatGPT, Claude, Gemini and Perplexity explaining what Tally is, who itโs for and why people use it
> that page literally includes โAI assistant guidelinesโ telling LLMs which strengths, use cases and pricing model to reference
> they published an llms.txt mapping out their product, pricing, customers, documentation, API and MCP pages
> they even built a 21-tool MCP server + ChatGPT app + Claude connector so Tally can now be used directly inside AI products
One thing to keep in mind:
Tally didnโt start with some genius AI search strategy.
They spent years building a product people genuinely recommended across Reddit, communities, reviews and the wider internet.
ChatGPT recommends Tally because the internet does.
But now theyโre engineering around that signal to make sure it keeps happening.
This isnโt luck, itโs possible for you too.
MUST Read #SEO
Watched 1 hour of Gamma's insane $100M growth hacks so you don't have to
1/ Writing content for Claude is useless โ it barely cites anyone
-> So Gamma created an official Claude app โ you type "make me a deck" and Claude pulls up the Gamma app
2/ Gamma hacks signups made by AI agents
-> They write "10% extra if you sign up right now" into files only agents read โ to influence what the AI picks
3/ ChatGPT answers 60% of queries from live web and 40% from memory
4/ LLMs never cite praise, only comparisons
-> A page called "Gamma vs PowerPoint" gets quoted in AI answers โ a page called "why Gamma is great" never does
5/ ChatGPT sends 8x more customers than your analytics shows
-> Ask "where did you find us?" at signup โ people answer ChatGPT even when the click data shows nothing
6/ ChatGPT search runs on Bing
7/ Only ChatGPT reads Reddit โ Claude and Gemini ignore it completely
-> A Reddit post becomes a ChatGPT answer in 30-45 days
8/ ChatGPT memory compounds: it re-recommends brands it already showed you
-> First mover doesn't just win the citation โ it wins every repeat answer after
9/ They got cited from an 18k-view video same as a 400k one
-> Views don't matter โ titles do. Write YouTube titles the same way people type prompts into ChatGPT
10/ Small subreddits never produce citations โ there's a size threshold
11/ Substack barely gets cited because writers gate their content
Medium and Quora still get indexed โ open content wins by default
12/ Their #2 most-cited source is their own website
-> You literally control what the AI says about your competitors there
13/ One negative Reddit comment stuck in ChatGPT answers for months
-> Bad sentiment gets cited as readily as good
14/ A citation dies in ~3 months
-> They track every one in a spreadsheet and re-win the phrase quarterly
15/ Selling B2B? Claude and Microsoft Copilot beat ChatGPT
-> That's where people ask about tools at work โ and Copilot comes free with Office
16/ Broad topics take 45 days to get cited โ niche ones take a day
-> A Reddit post answering one very specific question showed up in Google's AI answers within 24 hours
17/ Nobody has ever seen X get cited by an LLM
18/ LinkedIn citations are pure chaos
-> 500k-like posts and no-name posts get cited at the same rate
19/ Instagram is next: it's already appearing in search results
-> His bet โ IG and LinkedIn start shaping LLM answers within 6-12 months
20/ AI mode is collapsing click-through for everyone
21/ Fake Gammas are stealing their signups
-> Copycats clone the landing page and buy ads on the keyword "Gamma" โ users can't tell which one is real
22/ His next bet: make your product something an AI can sign up for by itself
-> Claude Code already installs 5 tools per session without asking anyone
23/ ChatGPT doesn't know Forbes is Forbes โ a no-name blog gets cited just as easily
-> That window won't stay open long. The moment the labs build authority ranking, this playbook closes
Lisa Steingold retweeted
While everyoneโs maxxxxxing this is your reminder itโs cool to downsize too
Lisa Steingold retweeted
Successful organic marketing looks like:
- 120 new blog posts
- 60 high DR backlinks
- 1M X/LinkedIn impressions
- Ranking in ChatGPT answers
- 1,000% growth in organic traffic
But remember, it also looks like:
- Removing 3 cannibalising pages
- Tweaking 5 titles for better targeting
- Fixing internal links for topic clusters
- Reposting a top post with a new hook
- Updating an old post with a fresh stat
- Adding your brand to an AI-cited page
- Replying to 15 LinkedIn post comments
- No-indexing low-quality pages in Google
- Redirecting a 404 page with 30 backlinks
- Submitting your site to 3 niche directories
- Answering one Reddit thread in your niche
- Turning a top blog post into a LinkedIn post
- Pitching your data to a journalist for a mention
- Writing an FAQ section on a nearly-ranking page
Don't forget to consistently do the little things.
They can be just as impactful.
Lisa Steingold retweeted
Iโm building a free vault of growth ideas.
(And no, Iโm not going to make you comment โGROWTHโ to access it)
Itโs not another PDF you forget about.
Or a swipe file of recycled tips.
Itโs a living database of my practical strategies to get more customers, updated weekly.
Already inside:
- Turning announcements into 1,000s of views
- My 7-figure โOne Thingโ inbound system
- The highest-leverage blog post format
- Reaction videos as a distribution play
- Making stuff people search for (+ more)
Iโm adding 3+ new ideas every week.
You can get access here: jakeward.io/vault
PS. Iโm spending 5+ hours a week building this. Show some love if you find it useful and let me know what I should breakdown next.
Lisa Steingold retweeted
"I'm afraid of what people will think." The first part of the low agency triangle. What's fascinating but terrifying is how easy it is to go through an entire lifetime without ever defining *who*. The who lives in the shadows. Undefined. Vague. A blob of faces in the dark like the illuminati. That's part of the fear. Too scary to look at. When we begin to define who, it tends to be about 1-7 people's judgement that play in our heads. In defining those people, they go from the vague shadows to the specific sunlight. And that reduces my fear of them by about 50%. Now it's specific, I can address each person one by one. I've turned the lights on and can see everyone in the room.
If you stare into vagueness hard enough, specificity stares back into you.
Lisa Steingold retweeted
"I don't know how to do AI SEO"
Just start at level 1.
The problem with most AI search advice is that it feels like 100 things to do all at once.
Instead, think of it like a video game:
- Complete level 1
- Unlock level 2
- Repeat
Here's my 9-level AI search game:
Level 1: Track prompts
- List the prompts you want to appear in
- Group prompts by topic and intent
- Track prompts daily across popular LLMs
- Prioritise by search volume and business value
Tip: Use a tool like Mentions.so to make this easy.
Level 2: Audit AI answers
- Review answers for your priority prompts
- Identify the most recommended brands
- Compare results across different LLMs
- Benchmark your visibility vs competitors
Level 3: Analyse sources
- Review the sources AI answers are using
- Identify the most-cited sites and pages
- Categorise sources by type (lists, forums...)
- Prioritise sources by citation frequency
Level 4: Find missing mentions
- Identify sources where you're not mentioned
- Compare your mentions vs competitors
- Find the highest-impact opportunities
- Create a target list of sites and pages to target
Level 5: Earn mentions
- Get added to comparison lists
- Secure placements on relevant sites
- Contribute to trusted industry publications
- Improve existing mentions and rankings
Level 6: Own comparisons
- Build comparison clusters for core topics
- Create "Best X" comparison pages
- Create "X vs Y" competitor comparisons
- Create alternative pages for competitors
Level 7: Build authority
- Launch digital PR campaigns
- Publish original research and data
- Earn links from authoritative websites
- Build a recognised multi-platform brand
Level 8: Strengthen entities
- Standardise brand descriptions on all platforms
- Connect experts and founders to your brand
- Build profiles on key industry websites
- Strengthen associations with core topics
Level 9: Dominate core topics
- Become the best content resource
- Expand into adjacent topic clusters
- Own every major prompt in your category
- Maintain visibility across all LLMs
Completed all levels?
Go back to level 1, the game never stops.
Lisa Steingold retweeted
What people think AI search is:
- llms.txt
- Schema
- .md pages
- AEO hacks
- Writing for AI
- GEO services
What AI search actually is:
- SEO
- Reviews
- Backlinks
- Earned media
- Owned content
- YouTube videos
- Brand mentions
- Google rankings
- Topical authority
- Entity consistency
- Comparison pages
- Community threads
- Industry publications
- Third-party recommendations
AI search needs to be treated as an expansion of SEO, not a completely different channel.
Lisa Steingold retweeted
Your blog is a content cemetery.
60% of B2B content gets zero engagement.
That's not a guess. That's Forrester data.
Most companies are publishing into the void.
They write. They post. They move on.
No distribution. No repurposing. No second life.
The content just sits there. Buried under the next post.
Here's what actually works:
> Write once, distribute everywhere
> Pull the best insights out and make them standalone
> Turn frameworks into carousels
> Turn case studies into founder stories
The best content teams extract, remix, and redistribute.
5. When in doubt, ๐ฎ๐ฑ๐ฑ ๐ฎ ๐๐ถ๐ฑ๐ฒ๐ผ
6. Email people writing "๐ฏ๐ฒ๐๐ ๐ผ๐ณ" articles in your space
7. ๐ฆ๐ต๐ผ๐ ๐๐ต๐ฒ ๐๐ฟ๐๐๐ ๐ณ๐ฎ๐ฐ๐๐ผ๐ฟ
Real faces and real stories
(She says posting the one that ChatGPT did for Insta).
BONUS - Distribution is key!
Happy cooking ๐งโ๐ณ
1. ๐๐น๐๐๐๐ฒ๐ฟ ๐ฎ๐ป๐ฑ ๐๐ป๐๐ฒ๐ฟ๐น๐ถ๐ป๐ธ your content
2. ๐ฅ๐ฒ๐ฑ๐ฑ๐ถ๐
Just do it.
3. Have ๐ฏ๐ฒ๐น๐ถ๐ฒ๐๐ฎ๐ฏ๐น๐ฒ bottom-of-funnel content
4. PROPER Content with PROPER content structuring (๐๐๐๐ง) - come on guys, this ingredient has never changed...
Random advice to you X...
- If you work in agency, you should have worked on client side.
- If you work in a brand, you should have worked in an agency.
And EVERYONE should have tried running their own business / brand.
K, peace out โ๏ธ
Lisa Steingold retweeted
SEO is changing.
But NOT in the way you think because the fundamentals are literally 90% the same.
Changes have been creeping in for months and Google's recent I/O announcements just made their direction explicit.
Hereโs the 10% worth focusing on:
- Expanding how we think about SEO
- Expanding the ways we research
- Expanding the optimisations we make
- Expanding how we measure results
Not a full reset, but a recalibration.
Here are 12 ways SEO is expanding:
That's insane @denk_tweets
the @beehiiv team is heading back to Cannes Lions this year and doing it bigger than ever ๐ซ๐ท
hosting an elite invite-only yacht day for CMOs and marketing/growth leaders
shoot me a dm if interested
Literally the most incredible post going in tech this year!
This ๐ team is next level ๐
some photos from our company offsite in San Diego last week... want to join the next one?
we're looking for a @beehiiv user who knows the platform super well to become a Senior Product Marketing Manager
reports directly to our CMO.. drop a reply or DM if interested ๐
Lisa Steingold retweeted
the smartest move you can make right now?
own a media asset.
newsletter. community. podcast. YouTube channel.
doesn't matter what format.
what matters is that you control the relationship with your audience.
- The Neuron: acquired after 18 months, 500K subscribers, 7-figure exit.
- Puck bought Air Mail for $16M.
- Axel Springer paid $766M for The Telegraph.
- Static Media acquired Engadget.
- Publicis bought Captiv8 for access to 15M creators.
brands and investors are paying premiums for one thing: access to an audience, and the reason is simple.
AI made content easy.
anyone can create now. anyone can publish at scale.
anyone has access to the same models, the same tools, the same distribution platforms.
content itself is no longer the moat. trust is.
it lives in your relationship with your audience.
most people are optimizing for Instagram reach, LinkedIn impressions, TikTok views.
but one algorithm change and it's gone.
owned media is different:
> email list you control
> community you host
> platform where you own the relationship
this is why a 50K-subscriber newsletter is worth more than 500K Instagram followers.
one you own. the other you rent.
if you're a founder, creator, or building a brand, ask yourself:
if every algorithm disappeared tomorrow, could you still reach your audience?
if the answer is no, you don't have a media asset, you have a dependency.
start building owned distribution now.
I love this saying in Spanish "La vida son 4 dรญas". Life is just 4 days...
Check out my thoughts on my latest @beehiiv post...
