JRR Marketing

Most SEO freelancers don’t fail because of SEO. They fail because they built a job, not a business. They chase freedom and end up with 6 bosses. All called clients. Here’s the pattern I see. ☑ They sell SEO as a generic thing ☑ They price like employees, not like profit centers ☑ They customize everything, every time ☑ They drown in DMs, Looms, Slack, and quick calls So the work is fine, the money is mid, and the calendar is chaos. The ones who win treat freelancing like a productized performance offer that plugs straight into revenue and paid media. 1. Pick one painful SEO problem Not I do SEO. More like. → Technical rescue for broken migrations → Programmatic SEO for marketplaces → Enterprise ecommerce crawl and index cleanups Narrow problem, clear upside, budget already there, and a direct tie to money pages and Google Ads performance. That is when you can charge like a specialist, not a spare pair of hands. 2. Turn that into a product Same inputs. Same outputs. Same timeline. Scope, deliverable, format, price. Non negotiable. Client wants a quick look at content on top. Cool. That is a second product with a second price and a clear revenue link. 3. Price like you care about ROAS, not hours Hourly is what companies use to keep margin. Copying that keeps you capped. Flat fee tied to a clear outcome is cleaner. → Migration audit that protects tracked revenue in analytics → Programmatic build that opens X pages to rank and feed retargeting → Tech audit that cuts crawl waste on pages that never convert and boosts money pages that feed Google Ads audiences You anchor to business impact and you stop arguing over how long it took. 4. Build boring systems so you can do exciting work Templates for. → Onboarding and access → Proposals and contracts → Audits and exec summaries → Weekly updates and handoff You already do this in Google Ads if you are serious because you do not rebuild account structure every time. You clone what works and tweak for intent and conversion. 5. Tie everything to money pages SEO that does not feed paid is leaving cash on the table. Use audits to. → Fix tracking so Google Ads and revenue data are clean → Speed up landing pages so CPCs drop and QS rises → Surface bottom funnel keywords for new ad groups and RSAs → Kill zombie pages that steal crawl and budget from pages that convert That is how you move from SEO cost to acquisition engine across organic and paid. Freelancing then stops being random sprints for random clients. It becomes a focused offer that compounds revenue, lead quality, and ROAS across SEO and Google Ads. https://lnkd.in/eGSF-hfC

Google just turned AI Overviews into the new gatekeeper of intent. And most Google Ads accounts are still acting like we’re in 2023. Here’s what the data says in plain terms. ☑ Paid CTR on AI Overview queries down about 68% ☑ Organic CTR on the same terms down about 61% ☑ Search spend up 9% ☑ Clicks up 4% So more money is chasing fewer clicks, and those clicks now sit behind an AI layer that steals the research phase. This breaks two sacred cows in performance marketing. → Informational keywords as cheap top of funnel → Retargeting lists built from research traffic When AI compresses research into a single screen, users decide in minutes, not weeks, so if you’re not in that AI block or in their head already, you don’t exist. So you need a hard pivot in how you run Google Ads. 1) Treat informational intent like a P and L line Strip your queries. Anything with what is, how to, guide, best for that has → CTR under 1 percent → Conv rate under 50 percent of your average gets one of three treatments. ☑ Unique offer creative ☑ Aggressive bid down ☑ Budget reallocated to branded and transactional 2) Treat Shopping feeds as your new homepage AI can only show what your feed describes, so weak feeds kill intent capture. If your feed doesn’t say for freelancers, for rainy commutes, under 40 dollars, you’re invisible. Win on attributes, freshness, media, and clean structure so every query pulls the right product into the AI layer and your ROAS holds. 3) Make your ad copy assume AI already did the explaining AI Overviews handled what and why this category, so your job becomes why us and why now. Lead with risk reversal, urgency, switching offers, and social proof. Informational ads die and offer driven ads live, so your clicks tilt toward buyers who are ready to act. 4) Build first party audiences like your CPC depends on it Because it does. Upload CRM. Segment high intent visitors. Feed everything into Performance Max and Demand Gen. Let keywords find intent, and let audiences capture it so your conversions and lead quality climb instead of your cost per lead. Google AI now filters intent. Your job is to decide if you pay for volume or pay for qualified demand, so your ROAS doesn’t bleed quietly. Lean into this, and you get fewer clicks, better buyers, and cleaner unit economics on every lead. Useful deeper read. https://lnkd.in/eXtUFUJG

Anthropic just sliced the web into 3 AI buckets. Not legal. Not ethics. Distribution. For marketers, this is where it turns practical, because each bot hits your funnel in a different way. ☑ ClaudeBot Trains the model on your content. Block it and your future pages stop feeding the model. Good if you hate free riders, bad if you want your take baked into how Claude thinks about your niche, which then changes how users meet you before they ever see an ad. ☑ Claude-SearchBot Indexes your site for AI search. Block it and Claude answers without you in its graph. You still exist on Google, but you lose one more discovery layer that can warm up traffic before the click and that can lift branded search and lower your Google Ads CAC. ☑ Claude-User Live fetch when a user asks Claude about a page. Block it and you stop Claude from pulling your landing page into live answers. That also means fewer chances to turn AI answer traffic into branded clicks that boost conversion rate and raise assisted ROAS. This is where SEO, CRO and media buying collide, because your robots.txt now behaves like a targeting and bidding control. You can: → Block training, allow search + user You keep your IP and still get AI discovery. Good for brands that care about ROAS and want reach without feeding every creative angle into the model. → Allow training, block search You help train the system but skip the AI SEO race. You gain better narrative control inside answers, while losing some direct visibility that could have helped assisted conversions in Google Ads. → Allow all 3 You trade control for maximum surface area in AI answers. For affiliates and lead gen, this can lower CPC indirectly, because more users pre-qualify in AI before ever clicking your ad. The smart move is to treat each bot like a traffic source in your media plan, so you tune access based on funnel role. Test per cluster, not per site. Product pages can welcome Claude-User and Claude-SearchBot, because more best X for Y mentions feed high-intent queries that convert well in Google Ads. High value lead gen pages can block ClaudeBot, so your offer framing does not get copied into every competitor response, and your landing page angle keeps its edge. As AI search grows, robots.txt becomes another lever next to bids, budgets, landing page testing and creative to grow leads and revenue from paid and organic. Reference for more detail: https://lnkd.in/g77afpxV

Most Contact pages are silent conversion leaks. You send traffic. You pay for clicks. You scale budgets. And then visitors land on a dead page with: Name. Phone. Form. That’s it. Google crawls that page looking for entity signals. You give it crumbs, so rankings stall and lead quality drifts down. Treat your Contact page like a local landing page that can win both SEO and Google Ads. That way the same traffic starts producing more leads and better ROAS. Here is how I’d build it for local intent, revenue and ROAS. ☑ Business identity dialed in Logo, slogan, 2 line explainer with niche, geo and UVP. You help Google and humans tag you as the one for a specific problem in a specific area, so relevance goes up before you even pay for the click. ☑ Contact info that actually sells Full NAP, phone, SMS, email, hours, booking rules, payment types, parking. Add an embedded Google Business Profile map and a Get driving directions link. Every click to Maps feeds engagement signals back into local SEO and supports Ads performance, so your CPC buys more outcomes. ☑ Trust stacked above the fold Review score, review count, 2 or 3 short testimonials, association and award logos. You cut perceived risk in seconds, so more paid clicks turn into form fills and calls and your CPA drops. ☑ Local content that proves you exist Team photos. Neighborhood mentions. Service area bullets. Relevant guarantees. You feed LLMs, AI Overviews and Google’s local algorithms with real world context while generic landing pages blur together, so intent traffic converts higher. ☑ Attributes and amenities Accessibility. Ownership tags. In store versus delivery. Anything that answers is this for someone like me before they bounce, so wasted ad spend drops across campaigns. ☑ One clear CTA repeated Same copy. Same promise. Same button. You reduce friction and let your targeting and bidding do the work instead of confusing the user path, so conversion rate climbs without raising budget. From a Google Ads lens, this is free margin. A stronger Contact page raises conversion rate for every channel, so you get more leads from the same budget, better local lead quality from clearer intent, better Quality Score from stronger on site behavior and higher ROAS without touching bids or audiences. Your CPA problem often comes from a Contact page built like a form dump instead of a revenue asset that behaves like a real landing page. Fix the asset every channel touches. Then scale. Reference for a deeper breakdown on this idea: https://lnkd.in/eb5A7xZV

Google vs SerpApi is not about scraping. It is about who controls access to the same public SERP you and I see. On one side, Google says you can look, but you can’t collect, compare, or resell. On the other, SerpApi says public is public, and access is not copyright. If Google’s logic wins, performance marketers lose leverage, because treating public SERP scraping like a DMCA issue changes how we can measure. Then: → Rank trackers turn into legal landmines. → Competitive PPC intel dries up, so bid strategy gets dumber. → SERP feature tracking (PLAs, LSAs, maps, snippets) becomes risky, so you guess placements. → AI tools that read SERPs to suggest ad copy or landing pages stay fragile and limited. And once your data pipe is gone, your ROAS takes a hit, because you stop optimising to reality and start optimising to what Google reports. You lose: ☑ Side by side SERP snapshots to see where paid cannibalizes organic. ☑ True blended CAC, because you can’t benchmark against rivals at scale. ☑ Insight into how often Google pushes your ad under its own units. ☑ Fast testing on angles, offers, and hooks that match real SERP layouts. If Google can gate public results behind technical measures, then don’t scrape turns into don’t measure us properly. That is not about UX. That is about protecting the ad auction and keeping the black box closed. For CRO and media buying, public SERP data is oxygen, because it shows how users really see your brand and your competitors before they click. You use it to: → Map which queries justify brand vs generic vs PMax, so you stop wasting budget. → Decide when to pause bidding because the SERP is 90 percent Google inventory. → Build landing pages that match intent clusters, not fake keyword themes. → Feed models that write ad copy tuned to what actually shows above the fold. Kill that feedback loop, and you fly blind while paying the same CPCs, so your CAC creeps up and your margin leaks into Google’s. I am not romantic about scraping. I am pragmatic about incentives, because whoever controls public performance data controls margin, and that margin shows up in your ROAS, your lead volume, and how hard you need to work to make Google Ads profitable. https://lnkd.in/gdR-BCms

ChatGPT just turned into a shopping engine. Not a search bar. Not a store. A decision engine with a buy button. You type: Best running shoes for flat feet, 10km, rainy weather, under $120 and the model compares, reasons, removes noise, and returns 1 or 2 picks you can actually buy. So the funnel compresses. Awareness, consideration, and comparison collapse into one intent driven query, and this becomes the new battleground for marketers. Because if the search result becomes one AI answer, you no longer fight for position 1. You fight to become the default output. For SEO, this means: ☑ Thin affiliate listicles die fast. ☑ Brand authority and verified reviews win. ☑ Structured data, spec sheets, and clear positioning feed the model. ☑ Content has to be clear, opinionated, and agent friendly, not just skim friendly. For Google Ads, it gets even tighter. If ChatGPT handles pre click education, every click that reaches your landing page arrives warmer and more filtered. So your job is not get more traffic. Your job becomes: ☑ Be the product the model keeps selecting. ☑ Make every AI filtered click convert at a higher rate. ☑ Sync your messaging to the reasons the AI uses to recommend you. That requires: → Copy that mirrors real user constraints (price, context, edge cases) → Pages that show tradeoffs clearly (why you vs the closest rival, in plain terms) → Offers that compress time, risk, and effort (guarantees, bundles, shortcuts) The value chain moves. Brand that feeds AI clean, proof backed data becomes the brand AI keeps recommending, which lifts your ROAS without higher bids, because intent and fit improve. If your ads still say best quality or great customer service, you lose the filter battle. You need concrete, comparison ready claims the model can anchor to. Compatible with X Verified by Y Average user gets Z result in N days AI shopping does not remove performance marketers. It removes lazy ones who depend on volume instead of clarity and proof. Because when an agent sits between the user and the store, vague offers die fast, and sharp offers print, and that shows up directly in your conversion rate and ROAS. Source that sparked these thoughts: https://lnkd.in/enEEexFZ

ChatGPT just turned into a shopping engine. Not a search bar. An intent engine. You type what you want. It understands why you want it. Then it skips the whole 10 tabs + 3 reviews + 5 ads routine. This is the punch in the face for marketers. ☑ Query → Intent → Recommendation No SERP. No comparison grid. No Top 10 best X in 2025 list. When AI owns the intent layer, Google Ads turns into a toll booth, not the highway, and that changes how you win. You stop winning with volume and you start winning with precision. Here is where this hits performance. → Generic keywords get taxed. Best running shoes becomes an AI conversation instead of a keyword to bid on, so broad terms become pure margin for the platform and not for you. → Mid funnel content dies when it is fluff. AI compresses long blogs into two clear options, so you either feed the model with real signal or you disappear from its answers. → Brand and UX become hard performance levers. When AI keeps seeing • high CTR from branded queries • strong post click engagement • clean landing page structure it starts recommending you more because the feedback loop tells it that you are a safe bet. You do not hack this with clickbait. You win because your site actually converts and keeps sending strong performance data back into the system. So when AI becomes the new front door, your landing page becomes the sales floor, and Google Ads becomes the paid express lane into that floor. Here is what I am doubling down on for clients. → Obsessive offer clarity above the fold. → Fast pages, zero friction, no dead ends. → Structured content that LLMs can parse and reuse in their answers. → Search terms that track intent depth, not just volume. As AI compresses decision paths, you either become the obvious YES in its shortlist or you stay outside the recommendation loop and your ROAS slides, so your whole stack needs to line up from query to landing page to conversion. P.S. If you want to go deeper into how this new intent layer is forming, this is a useful read: https://lnkd.in/evPX_TCD Reference for people who want to learn more: https://lnkd.in/evPX_TCD

Most PPC reporting is 90 percent theater and 10 percent signal. Dashboards look pretty and still no one knows what to do on Monday. Here is the core problem. Teams treat GA4 like a final report card instead of a data engine. GA4 works well for tracking and measurement. But when you only live in GA4 reports, you get stuck. ☑ Too many clicks, not enough decisions ☑ Fragmented views by platform ☑ Stakeholders lost in “where did this number come from” The game changes when you pair GA4 with Looker Studio. Not to impress clients. Because it forces your PPC data to tell a clear story that ties to revenue and ROAS. Think about your stack like this. GA4 is behavior and conversion data. Ad platforms are spend and click data. Looker Studio is the place where both must agree on what actually made money. From there, you can build reports that move budget, not just ego. 1. Budget pacing that stops end of month panic. Use bullet charts with daily budget targets. If today is day 15, your target is 50 percent of budget, so you catch over or under spend before it wrecks ROAS. 2. Zero click audits that cut silent bleed. Build a table with conversions equal to 0 and cost greater than X. Sort by cost so you get a weekly kill list for pausing or fixing Google Ads keywords and placements. 3. Geo maps that push budget into cheap lead zones. Show cost per lead by city, not just traffic by city. Raise bids where leads are cheap and profitable, and pull back where CPC is high and lead quality is weak. 4. Creative reports that speak human. Show the actual ad image or headline next to CTR, CVR, and CPL. Clients see which creative prints leads and which one just burns budget, so testing gets faster and sharper. 5. Custom metrics that match how the business makes money. Track tour to close rate, job value by service type, and profit per click. Then optimize Google Ads campaigns to profit per click and profit per lead, not vanity CPC. When you wire GA4 into Looker Studio like this, arguments move away from “which number is right” and toward “which action improves ROAS next week”. That is where better leads, better landing pages, and better Google Ads decisions actually start. Reference for the technical build and examples: https://lnkd.in/eHdWvCpW

ChatGPT ads just broke the old SEO vs Google Ads fight. Not on the SERP. Inside the prompt. Here is the uncomfortable part for search marketers: ☑ Nobody owns the keyword anymore. ☑ Nobody wins the SERP. ☑ The real asset is the intent inside the prompt. Best CRM was the game. Best CRM for B2B SaaS under 50 employees that plugs into HubSpot is the new reality. That prompt already carries: → ICP → stage → stack → constraint Keyword tools compress that intent and treat it like one term. ChatGPT exposes it and rewards the brands that speak at that level. So the game changes for SEO and Google Ads. 1. Prompt intelligence beats keyword lists. You stop asking what you rank for and start mapping which prompts keep pulling your brand into the answer. That prompt graph becomes your new market map for content, for bidding, and for creative angles that drive cheaper qualified clicks. 2. Fanout keywords become the money layer. You stop at CRM for SaaS and you lose. You win with under 50 employees, HubSpot integration, budget sensitive, founder led team. Those fanout terms guide your ad groups, extensions, and landing page copy so ROAS tracks closer to true intent. 3. Google Ads coverage needs a new audit. ☑ Strong LLM presence + weak paid coverage → you leave high intent demand on the table and lose conversions. ☑ Weak LLM presence + strong paid coverage → you buy traffic your brand does not yet deserve and your CAC inflates. 4. Landing pages turn into prompt mirrors. If all queries hit a generic CRM software page, every click pays a relevance tax and CVR sinks. If pages mirror prompt nuance, you raise relevance, lift CVR, and feed LLMs cleaner signals for the next wave of prompts. 5. Measurement grows up. Last click looks blind here because it ignores prompt influence. You track prompt level lift, assisted conversions, and branded search plus close rates after LLM exposure so you see where prompts compress your funnel and improve lead quality. SEO and Google Ads start acting like a shared intelligence system. Prompt clusters lead into ad coverage, then into landing page alignment, then into more LLM visibility, then into cheaper higher intent clicks and better ROAS. The brands that win mine prompts like they once mined keywords and wire those insights into Google Ads, landing pages, and creative in one tight loop. More context here for search people who want to go deeper into this thinking: https://lnkd.in/dnutGw3Z

Google is not an AI company. Google is an ad company that now uses AI to sell more ads. And the numbers for organic are brutal. Classic organic clicks are getting squeezed in every consumer niche they checked. Not a little bit. Double digit drops in a year. Headphones organic → 73% of clicks → 50% Jeans organic → 73% → 56% Greeting cards organic → 88% → 75% Online games organic → 95% → 84% While that happens, text ads move in and eat. Text ads click share ☑ Headphones → 3% → 16% ☑ Online games → 3% → 13% ☑ Jeans → 7% → 16% ☑ Greeting cards → 9% → 16% And in product queries, PLAs stack on top. ☑ Headphones PLAs → 16% → 36% ☑ Jeans PLAs → 18% → 34% ☑ Greeting cards PLAs → 10% → 19% So organic loses, AI Overviews grow, and the real winner is paid inventory. Because when brands lose organic visibility, they do the only thing they can. They buy it back. Headphones brands → Amazon up 35% paid clicks while organic drops → Walmart almost 6x paid → Bose up 49% paid Jeans brands → Gap up 137% paid and takes the top paid spot → True Religion shows up in paid with no top 10 organic rank This creates a loop. 1. Organic erodes. 2. Competition for what is left goes crazy. 3. Brands pump more budget into Google Ads. 4. Paid takes more of the SERP. 5. The loop tightens. For marketers, this changes the game. → SEO alone will not save acquisition cost. → Google Ads turns into rent for visibility, not intent capture. → ROAS dies fast when landing pages and funnels stay lazy. What to do now. ☑ Treat branded and category terms like assets, not afterthoughts. ☑ Build pages that convert at 2x the market so CPC inflation hurts less and ROAS holds. ☑ Use search terms data to feed creative and offers, not just bids. ☑ Model LTV and back your bids from profit, not from feelings. Google is re pricing attention and squeezing margin out of weak funnels. So if you do not fix your conversion engine, you will just be paying more rent every year through Google Ads. Good read if you want the full data set: https://lnkd.in/edgkTgjm Reference: https://lnkd.in/edgkTgjm