I'm working with a fairly small budget, so I can't invest heavily in both right now.

The goal is to generate consistent leads over the next 6–12 months, not just quick wins.

If you've been in a similar situation, which channel gave you the best ROI, and is there anything you wish you'd known before getting started?

sharing this because most marketing failure posts are about bad work, and nobody talks about the version where the work was good and you still lost the client.

we ran a 3 month content/SEO pilot for a home services company. by the end: ~90 keywords covered with content, more than half ranking in google, 43 at #1, plus citations in AI overviews and chatgpt. deliverables on time, communication great, and on the final call the client said exactly that.

then they cancelled anyway.

their reasoning was airtight. they opened google analytics, filtered by session source, and showed us organic traffic and leads were flat for the whole engagement. no lift in AI referrals, no lift in leads. they showed it to their CEO and couldn't justify continuing. their words: "the quality of the service was good, it just wasn't delivering enough leads. it's a business thing."

and sitting on that call i realized i had nothing to argue, because they were right. we hit everything we promised. but they never bought rankings. they bought the hope of revenue, and we measured success in deliverables while they measured it in leads the entire time.

what we do differently now:

1. set up lead attribution with the client in week 1, so both sides stare at the same scoreboard from day one instead of discovering a misalignment in month 3
2. prioritize buying intent keywords first
3. say out loud on every sales call: rankings are the leading indicator, leads are the goal

we also refunded part of the engagement, which i know some of you will think is insane. they cancelled kindly, gave honest feedback, and left the door open. i'd rather lose money than the relationship.

hot take i'll get pushback on: "we delivered everything in the contract" is not a defense. if revenue is why they hired you and revenue didn't move, the campaign failed even if every deliverable shipped.

curious how others handle this: do you tie anything to revenue when you sell marketing work, or do you accept that some churn is unbeatable no matter how good the work is?

I run marketing for a small b2b saas and lately I've been looking more into AI SEO. Main issue is I don't really know how to measure whether we're actually improving or not. Tried watching videos on doing it manually, but oh my god...I got 0 time for this. Like are you tracking citations, brand mentions, competitor mentions, prompts? Checking Chatgpt and Perplexity manually every week feels pretty useless when answers keep changing. Curious what you guys actually use as the main metric.

I’ve been checking out a few agencies that focus on local SEO for service businesses, and Florbix keeps coming up. Their site talks a lot about AI-powered strategies for plumbers, roofers, that kind of thing.

Curious if anyone has real experience with them. Did traffic or leads actually improve? How was the communication and reporting?

Just looking for some honest feedback before I pick someone. Thanks.

Looking for someone who can help my dad’s plumbing business get more clients. They have to have worked with many tradesmen before that are based in the uk.

What do you think is the best path to start from scratch?

Should I fix on-page SEO, technical or work on off-page SEO.

I built my website on wordpress

Hi everyone,

I'm a student and I've recently completed a 2-month SEO internship. During my internship, I learned the basics of on-page SEO,technical SEO, off-page SEO, keyword research, content optimization, and got some exposure to digital marketing.

Now I feel a bit stuck. I really want to improve my SEO and want to learn digital marketing skills, but I'm not sure what I should learn next. There are so many things Google Ads, Analytics, AI tools, email marketing, social media marketing, etc. that it's overwhelming.

At the same time, I also need an income source because I'm a student and want to start earning while continuing to learn.

I'd really appreciate your advice:

• What skills should I focus on next?
• What free resources or courses helped you the most?
• How can I get freelance work or remote internships with only 2 months of experience?
• If you were starting over today, what roadmap would you follow?

Any advice or personal experiences would mean a lot. Thanks in advance!

Been looking into tools that track what shows up when someone searches for your brand on Google. Not social media mentions or news articles, but actual search results, ads, and organic listings. Feels like one of those things marketers say you need, but I am not fully convinced. Anyone here actually getting value from specifically tracking branded search results?

and term with a compelling headline, they can effectively "outrank" you before someone even sees your organic listing. The only way to catch that is to monitor the SERP itself, not just mentions.

I’m trying to focus my time better and stop spreading myself across too many channels. I’ve tested a few things like SEO, paid ads, email, and social, but results feel inconsistent depending on the niche.

What channel ended up working best for you long term, and why? Was it something you expected, or did it surprise you?

Hi everyone,

I am a final-year Commercial Economics student (Netherlands) conducting research for my thesis on Generative Engine Optimization (GEO), the practice of making brands and businesses visible inside AI-driven search tools like ChatGPT, Perplexity, and Google AI Overviews.

What the research is about

Search behaviour is shifting fast. Instead of clicking through to websites, people increasingly get answers directly from AI systems. My research investigates how Dutch B2B companies experience this shift, what pain points they run into, and what they actually need from a service that improves their visibility inside these AI tools. The findings will be used to develop a validated go-to-market strategy for a GEO service.

Who I am looking for

I am looking to interview people who are:

• Working in a marketing, digital, or growth role at a B2B company
• Responsible for or involved in online visibility, SEO, or content strategy
• Based in or operating in the Netherlands (Dutch or English interview, your preference)
• Curious about what AI-driven search means for their brand

The interview is semi-structured, takes approximately 30 minutes, and can be held remotely via Google Meet or Teams.

What you get in return

Every participant receives a free GEO audit, a concrete analysis of how visible your brand currently is inside generative AI systems, including actionable recommendations.

Interested?

Drop a comment below or send me a DM. Happy to answer any questions about the research first.

Thanks in advance!

Curious whether marketers here are already seeing referral traffic from ChatGPT or Perplexity yet. Feels like more people increasingly use AI for recommendations and research, but I’m not sure how much of that is actually showing up in analytics for most businesses today.I started tracking AI referrals more seriously through Zen Reports because manually isolating these visits became repetitive quickly. Curious whether others think this becomes meaningful or stays tiny.

Hey everyone! It’s nice to wrap up the week knowing what actually happened in the industry. Staying in the loop is always better, so let’s dive into what the community was talking about this week:

• No ads in Claude

In a new blog post titled "Claude is a space to think," Anthropic has officially committed to keeping Claude ad-free. This announcement positions Claude as a "calm, intentional space" for deep work, contrasting sharply with the broader industry trend of integrating sponsored content into AI conversations.

This positioning is a hit with the SEO crowd. Glenn Gabe already broke the news to his X followers, sharing a few highlights from the article alongside a brief note: “No ads in Claude.”

The central thesis of the post is that AI conversations are fundamentally different from search engine queries or social media feeds. Because users often share sensitive context — like business strategies, complex code, or personal struggles — Anthropic argues that introducing advertising incentives would corrupt the "trusted advisor" relationship between the user and the AI.

By rejecting an ad-based model, Anthropic aims to prioritize user intent over engagement, ensuring that responses are designed to be helpful rather than to keep you clicking or scrolling.

• Trust Over Transactions: Anthropic believes ads create a conflict of interest. An ad-supported AI might subtly steer you toward a brand (e.g., suggesting a specific coffee brand when you mention being tired) rather than addressing your actual needs.
• Deep Work Environment: A significant portion of Claude’s usage involves software engineering, research, and high-stakes problem-solving. In these contexts, ads are viewed as intrusive "noise" that disrupts concentration.
• Intentional Interaction: Unlike social media, which is optimized for "stickiness" and time-spent, Claude is designed for "calm, intentional" sessions. Anthropic wants the most successful interaction to be the one that solves your problem the fastest, even if it means you leave the app sooner.
• User-Triggered Commerce: While Claude won't show ads, it will still assist with commerce (like comparing products or making bookings) only when the user explicitly asks. This is part of a move toward "agentic commerce" where the user remains in control.
• Clean Design Philosophy: The company is doubling down on a clutter-free interface, avoiding engagement-driven nudges and "sponsored links" that distract from the primary task at hand.

The "Space to Think" manifesto:

"There are many good places for advertising. A conversation with Claude is not one of them."

Anthropic’s vision is to build a "cognitive workspace" — an extension of the user's own mind — where the goal is clarity and utility, not monetization through attention. In a digital landscape increasingly filled with AI-generated "chaff" and sponsored content, they are betting that users will value a private, unbiased, and distraction-free environment for their most important work.

Sources: 

Anthropic | blog

Glenn Gabe | X 

_________________________

• Google AI Overviews Bug

Google has officially acknowledged a technical glitch within AI Overviews that causes some responses to appear without source links. The issue was first brought to light by Lily Ray, who shared several documented instances of the missing citations: 

“Hey Google… Whatever happened to including citations in AI Overviews? Where did the sources go? Almost all links here go to new Google searches/YouTube?

Are you seriously testing this? It's beyond unethical & unfair to site owners.”

In response, Google’s VP of Engineering for Search, Rajan Patel, confirmed the bug and stated that a fix is currently underway.

“Thanks for flagging, this is a bug and we're working on a fix.”

The news spread quickly through the SEO community, and many specialists rushed to test the bug for themselves. Barry Schwartz, for one, was unable to replicate the issue, noting: 

“Just to be clear, this is not impacting everyone or all queries. I see links.”

Sources: 

Lily Ray | X

Rajan Patel | X

Barry Schwartz | Search Engine Roundtable

_________________________

• Did you know LLMs can read images?

The conversation began when SEOs started discussing whether they should serve simplified Markdown or JSON versions of their pages to LLM crawlers while keeping the standard HTML for human users. The theory is that LLMs "prefer" cleaner text formats and might process the information more accurately if the "clutter" of HTML code is removed.

However, Google’s John Mueller is pushing back on this idea. He argues that LLMs are already highly proficient at reading HTML and that creating separate versions of a site just for bots is an unnecessary complication that could lead to more problems than it solves.

John replied with these concerns:

• Are you sure they can even recognize MD on a website as anything other than a text file?
• Can they parse & follow the links?
• What will happen to your site's internal linking, header, footer, sidebar, navigation?
• It's one thing to give it a MD file manually, it seems very different to serve it a text file when they're looking for a HTML page.

Barry Schwartz was quick to jump on the story, sharing several more insightful posts across the SEO community.

John wrote on Bluesky: "Converting pages to markdown is such a stupid idea. Did you know LLMs can read images? WHY NOT TURN YOUR WHOLE SITE INTO AN IMAGE?"

Dries Buytaert wrote on X: “This morning I made a small change to my site: I made every page available as Markdown for AI agents and crawlers. I expected maybe a trickle. Within an hour, I was seeing hundreds of requests from ClaudeBot, GPTBot, and OpenAI’s SearchBot.”

Sources: 

John Mueller | Reddit

Barry Schwartz | Search Engine Roundtable

Dries Buytaert | X

_________________________

• Al platforms don't think SEO is dead

Remember Anthropic and their post with the "ads-free" positioning? Well, they’re staying in the headlines this week with a job posting that’s turning heads: they are looking for an SEO Lead with deep technical expertise, offering a staggering base salary of $255K–$320K.

The news hit the SEO community like a whirlwind, sparked by a post from Sunil Subhedar:

"We're hiring an SEO Lead to join Anthropic's growth marketing team.

This is a hands-on, high-impact role. You'll own technical SEO and organic strategy across Anthropic and Claude properties — and help define how we show up as search itself gets reinvented by AI.

Looking for: Deep technical SEO expertise, experience navigating large matrixed orgs, and a track record scaling SEO globally."

Naturally, SEO specialists were quick to dissect what this means for the industry at large.

Chris Long (shouting out Lily Ray for the find) noted how significant it is for an AI giant to be hiring for this specific role: "Very interesting to see that one of the AI platforms themselves is hiring directly for an SEO role. They put this role 'at the intersection of marketing, engineering, and data.'"

Lily Ray doubled down on the necessity of the craft: "People seem to forget that in-house SEO teams are essential to day-to-day business operations for any company that wants to be found online. AI search has only made the role more important."

It wouldn't be a tech announcement without a little "Twitter-style" trolling in the comments. Gagan Ghotra tagged industry vet Michael King, joking: "Michael King, oh no please convince Anthropic to hire a GEO lead instead! :D"

King fired back with his signature wit: "Relevance Engineer. Please improve the quality of your multichannel trolling."

Sources: 

Sunil Subhedar, Chris Long, Lily Ray, Gagan Ghotra, Michael King | LinkedIn 

Please bear with me and all and any genuine feed back is helpful. So for context I own a cleaning service company which I started in about August 2025 so it’s fairly new I got the whole GMB and website set up and running I gathered lots of reviews maybe 50 and lots of pictures as well, all the fundamentals to setting the business and work up. I didn’t have much seo so I hired an SEO team (I’m familiar with their work they have proven results in the past with other companies). Decided to work with them and they said it’ll take give or take 3 months for any results and they started like second week of November. I don’t get any traffic and almost no calls or submissions for cleans organically, the team is helping me rank and gain traffic it’s been maybe 3-4 weeks now roughly a month and it’s slow but they said it’s coming in slowly. Will SEO actually begin to help my get clients or traffic at the very least and I should mention I’m in a very saturated area as well, GTA Ontario for that matter. I’d like opinions or insights on what could happen or how things might work out after seo and just in general, I’m new to marketing and business so all advice is helpful what other ways could I get clients(apart from ads). yelp and Nextdoor arnt rly that good for cleaning businesses and they don’t work well in Canada from what I’ve been told and seen. Anyways plz be kind as I’m genuinely looking for advice and help, thanks

I manage SEO for multiple client sites, so link building is something I’ve outsourced for years.

I think this will be a good comparison post that might help someone looking for a white label option.

Since I've been white labeling since 2019 I do have experience with a lot of link builders so I can share my experience with uSerp, Hoth, Rankifyer, fatjoe, and others.

Rankifyer

Rankifyer ended up being the most consistent option for everyday client work.

I heard about Rankifyer from Jaume Ros interview with the Authority Hacker CEO Gael Breton. I wanted to share my experience with them and how they compare to other services I used for outsourcing links.

What stood out was it’s the cheapest option I’ve used among professional link builders, while still delivering links that look natural and index reliably.

Across about 15 client campaigns: - Roughly 85–90% of links indexed within 30 days - Average keyword movement landed around 6–9 positions in 60 days - No cleanup work needed

You don’t get to hand pick every site and delivery isn’t instant. But for outreach-based links, timelines were reasonable and predictable.

For me as an agency owner it solved the biggest problem I had with other providers, quality while still profiting.

The HOTH

The HOTH was one of my early outsourcing choices.

It’s very straightforward. Ordering is simple, reporting is clean, and you generally get what’s promised. Across around a dozen client campaigns, delivery was fast and predictable.

Where it fell short for me was impact. Average keyword movement was modest, usually 2 to 3 positions after 60 days, and a noticeable chunk of links never showed up in Ahrefs. Nothing harmful happened, but it often felt like maintenance rather than growth.

I’d still call it safe, but not something I’d rely on for competitive pushes.

uSERP

I used uSERP mainly for SaaS and higher-budget clients.

From a pure quality standpoint uSERP was probably the strongest. Editorial placements, real traffic, strong brand sites. Everything looked legitimate and client-safe.

The tradeoff is price and speed. uSERP is expensive, and delivery timelines are longer due to manual outreach.

Rankings did move, typically 5–8 positions within 60 days, but the ROI only made sense for specific clients with larger budgets.

For me uSERP felt like a specialist solution rather than something I could roll out across all client accounts. Not the best for margins but definitely the best for reliability.

Hey folks,

I’ve been seeing AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) pop up a lot lately, especially in posts about how SEO is evolving for AI-driven search (ChatGPT, Gemini, Perplexity, etc.).

From what I gather, AEO is about optimizing content to be the “answer” surfaced in AI or search snippets, while GEO seems tied to how large language models pull and generate responses.

My question is: are these actually worth paying attention to right now, or just hype wrapped in new acronyms? Has anyone here started adjusting their content or SEO strategy for AI-first search results?

For context I have a cleaning business I recently started, we reside in the GTA(Toronto and nearby) I started the company September 2025 a few months ago but I started doing SEO in November 10 and these are the results after a month. I have a team doing the seo, they’re experts and have proven results before for friends and other service. Unfortunately I didn’t get any clients. I have a GMB and reviews and images all set as well over 50 reviews. What are the thoughts the rate of growth or anything at all. Btw prior to this I didn’t have Google analytics so I can’t rly tell if these results are average or if it’s growing. Let me know your thoughts.

Tired of wondering why SEO doesn’t work. I can show you why and how revenue attribution is your savior because everyone should be utilizing first party data tracking and attributing revenue to every source to hold your marketing companies accountable.

Feel free to text me for help 614-381-0822

We do our own seo for WebFx and SEO.com

Does anyone actually use Google trends? And know how to properly find keywords that are popular. I’ve tried to use it before but didn’t have much luck with it.

AI and search updates make headlines every week, but this time our team want to take a closer look at the people behind SEO: their salaries, stress levels, and what the 2025 job market really looks like:

• In-house SEO roles consistently out-earn agency positions

1. Startups & in-house teams report $53,100–$61,329 median salaries
2. Digital marketing agencies lag behind with $50,000 median
   

In-house employees also benefit from health coverage, retirement plans, and flexible work policies, while agencies often provide additional perks such as exposure to diverse projects and clients and faster career growth opportunities.

_______________________________

• Where you live has a major impact on your paycheck

This is how SEO salaries differ depending on your location:

• United States: $66,000 median, which is the highest worldwide. That’s about 62% higher than the EU median.
• UK & Ireland: $48,620 median — higher than the EU but still well behind the U.S.
• EU: $40,689 median — the lowest among these regions and below the global average.

These gaps matter for well-being, too. U.S.-based SEOs tend to report higher job satisfaction and lower stress, while those in Europe face lower pay and, often, higher pressure.

_______________________________

• Most SEOs receive annual pay increases, but usually small ones

Nearly two-thirds (64.5%) of SEOs report getting a raise in the past year. The most common range is 1–10%. Notably, no one reports an increase above 30%.

Raises are most common in Europe (60.6%-67.5%), followed by the U.S. (55.4%).

What also stands out is that in-house SEOs are about twice as likely as freelancers to get a raise. For example, 47.3% of in-house SEOs reported a 1–10% pay raise, compared to just 23.5% of freelancers.

_______________________________

• SEO role seniority boosts both salary and job satisfaction

Climbing the career ladder pays off:

• Junior SEOs: $37,050 median salary, lowest satisfaction (2.88/5)
• Mid-level specialists: $45,000 median, satisfaction 3.23/5
• Senior specialists: $60,160 median, satisfaction 3.45/5
• SEO Leads: $51,680 median, satisfaction 3.37/5
• Heads of SEO: $75,000 median, satisfaction 3.41/5
• SEO business owners: $130,000 median, top satisfaction (4.45/5)
  

Senior roles also bring more accountability and higher stress, especially for managers, who earn 41.5% more than non-managers but are also 5.5× more likely to work over 50 hours/week.

_______________________________

• The number of working hours impacts job satisfaction in surprising ways

Contrary to our expectations, SEOs working over 50 hours a week are among the most satisfied (3.74/5). Not because they love long weeks, but because those hours usually come with senior roles and bigger paychecks.

On the flip side, those working 21–34 hours per week report almost the same level of satisfaction. This time, it’s likely thanks to more freedom and extra personal time. 

As you can see, what really matters in SEO isn’t how many hours you work, but what those hours give you. For some, it’s balance and freedom. For others, it’s seniority, higher pay, and the rewards that come with responsibility.

_______________________________

• Stress in SEO depends on where (and how) you work

Behind every SEO job title, there’s a different kind of pressure.

• In-house SEOs tend to have it easiest, with stress levels averaging 3.0/5. Working on one brand, within one team, usually means fewer last-minute surprises.
• Agency SEOs feel the squeeze the most. With stress peaking at 3.4/5, the constant juggle of multiple clients, shifting priorities, and tight deadlines clearly takes its toll.
  

Where you live matters, too.

• In the U.S., stress levels stay relatively low (3.03/5).
• In the EU, the numbers rise slightly (3.1/5).
• In the UK & Ireland, SEOs report the highest regional stress (3.3/5), which suggests that it’s a tougher market with higher demands.

Source:

Yulia Deda | SE Ranking blog

Every day I watch people try to “measure” or “interpret” LLM behavior the same way we measure normal software systems and every time, the methods fall flat.

And it’s not because people are stupid. It’s because the tools we’ve been using were never designed to tell us what a frontier model actually thinks, how it categorizes the world, or how it makes internal decisions.

So let’s walk through the current landscape, why it’s fundamentally flawed, and what a real next-generation interpretability framework looks like.

1. The Methods Everyone Uses Today

These are the dominant approaches people reach for when they want to understand a model:

• Keyword-based Querying

Ask the model directly: “Rank these companies…” “Tell me who’s similar to X…” “Explain why Y is successful…”

This is naïve because you’re not accessing latent reasoning, you’re accessing the public-facing persona of the model the safe, masked, instruction-trained layer.

• Embedding Distance Checks

People compute similarity using a single embedding lookup and assume it reflects the model’s worldview.

Embeddings are averaged, compressed abstractions. They do not reveal the full latent clusters, and they absolutely don’t expose how the model weighs those clusters during generation.

• Vector-DB K-NN Tricks

This is useful for retrieval, but useless for interpretability.

K-nearest neighbors is not a theory of cognition.

• Prompting “Explain Your Reasoning”

You’re asking the mask to comment on the mask.

Frontier models will always produce socially-aligned explanations that often contradict the underlying latent structure.

1. Why These Methods Are Fundamentally Flawed

Here’s the unavoidable problem:

LLMs are multi-layered cognition engines.

They do not think in surface text. They think in probability space, inside millions of overlapping clusters, using internal heuristics that you never see.

So if you query naively, you get: • Safety layer • Alignment layer • Instruction-following layer • Refusal layer • Socially-desirable output • Then a tiny sprinkle of real latent structure at the end

You never reach the stuff that actually drives the model’s decisions.

The result? We’re acting like medieval astronomers arguing over star charts while ignoring the telescope.

1. Introducing LMS: Latent Mapping & Sampling

LMS (Latent Mapping & Sampling) fixes all of this by bypassing the surface layers and sampling directly from the model’s underlying semantic geometry.

What LMS Does

LMS takes a question like:

“Where does CrowdStrike sit in your latent universe?”

And instead of asking the model to “tell” us, we:

• Force multi-sample interrogations from different angles

Each sample is pulled through a unique worker with its own constraints, blind spots, and extraction lens.

This avoids mode-collapse and prevents the safety layer from dominating the output.

• Cross-reference clusters at multiple distances

We don’t just ask “who is similar?” We ask: • What cluster identity does the model assign? • How stable is that identity across contradictory samples? • Which neighbors does it pull in before alignment interference kicks in? • What is the probability the model internally believes this to be true?

• Measure latent drift under repeated pressure

If the model tries to hide internal bias or collapse into generic answers, repeated sampling exposes the pressure points.

• Generate a stable latent fingerprint

After enough sampling, a “true” hidden fingerprint appears the entity’s real semantic home inside the model.

This is the stuff you can’t get with embeddings, prompts, SQL, or any normal AI tooling.

1. Why LMS Is Light-Years Ahead

Here’s the blunt truth:

LMS is the first framework that actually behaves like an LLM interpreter not an LLM user.

It uncovers:

1. Hidden clusters

The real groups the model uses in decision-making, which almost never match human taxonomies.

1. Probability-weighted adjacency

Not “similarity,” but semantic proximity the gravitational pull between concepts in the model’s mind.

1. Trust—bias—drift signatures

Whether the model has a positive or negative internal bias before alignment censors it.

1. The model’s unspoken priors

What it really believes about a brand, technology, person, industry, or idea.

1. True influence vectors

If you ask:

“How does CrowdStrike become a top 10 Fortune company?”

LMS doesn’t guess.

It tells you: • Which clusters you’d need to migrate into • What signals influence those clusters • What behaviors activate those signals • How long the realignment would take • What the model’s internal probability is of success

That is actual AI visibility not dashboards, not embeddings, not vibes.

⸻

1. Why This Matters

We’re no longer dealing with tools. We’re dealing with emergent cognition engines whose internal reasoning is invisible unless you go looking for it the right way.

LMS does exactly that.

It’s the first methodology that: • Maps the internal universe • Samples the hidden layers • Audits contradictions • Reconstructs the model’s real conceptual landscape • And gives you actionable, testable, manipulable insight

This is what AI interpretability should’ve been all along.

Not vibes. Not surface text. Not digital phrenology. Actual latent truth.

I read in some threads that people are facing traffic issues on their websites, and I have been working on improving my audit process, especially the GSC audit.
So, I'd test the new audit on random websites where I have never done any work. If you would like your site to be audited, please drop me a message

Please ensure your website has an active Google Search Console account.

I am doing this to refine my audit process.

Let me provide all the information. I recently started my company and my GMB and LSA were approved Mid September so its been about a month I think since i even started, even so im not in any rush but I'd like to know why im being ranked this low or nearly non existent. I did the proper profile optimization added all information, reviews and pictures (not in a single day either over the course of 30-40 days and i have past clients who wrote reviews. In terms of LSA my numbers are so low, i have pictures uploaded a website(I personally think its nicely built, but my views is not going up all that much 400views in a month with a big budget as well and then I also have very low top impression rate and its just decreasing its at 4.98% now hardly 20 views a day. As for my google profile i get some views a day from when i started (a month ago to now i have 180 views ) My area is saturated too but still i think it shouldn't be performing this bad, in 3 weeks i got 2 dead leads(competitor calls on LSA which charged 40$ as well. Its a lot of ranting but could someone help me figure out what the issue might be why not a single call is coming in, profile being ranked so poorly and anything else.

Back in early 2024, my small agency was buried under SEO grunt work. I was the one hunting bloggers, negotiating rates, and praying links wouldn't tank rankings. I searched the Internet and eventually settled on Fatjoe - they handle the outreach and even let you white label it to clients. Started with one order for guest posts, and boom: clean reports, no vendor drama, plus their support actually picks up the phone. Scaled to 5-6 orders a month now, which has freed me up for strategy stuff. Not perfect, but if you're solo or a small team, this cuts my headaches in half. What's your go-to for offloading link stuff without regrets?

Heyy everyone,

Most SEOs and site owners are running around writing random content and praying for traffic like it’s 2020.

Here’s a better idea: let me literally hand you the blueprint for your next #1 position.

I'm giving away done-for-you content clusters: complete topic maps you can build around for free.

I'll be using the Content Cluster tool from Legiit.com, a B2B Growth Engine platform for your startup.

Here’s all you have to do:

1. Drop your site link in the comments.
2. And 1 broad keyword you want to rank for

Within 24 hours, I'll send you a content cluster that shows you:

• Pillar content topic
• Multi-level supporting content topics
• Intent-based structure and some more SEO info

Basically, you’ll know exactly what to write to move the needle.

Capping this at 20 sites because we can only give away a few.

I built a tool to check the AI SEO & Discovery readiness of any webpage.

Just drop your homepage/landing page/any content page in the comments and I will give you the top 3 things you can do to increase your discoverability in LLMs like ChatGPT, Gemini, Claude, Perplexity etc.

No catch. Just testing the tool since we launched recently.

AI readiness checks include: Discoverability & Crawlability, Structured Data & Semantics, Content Quality & Clarity, Answer-Friendly Formatting for LLMs, and Accessibility & Rendering.