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Impressions without clicks is a signal, not a failure. What 28 days of Search Console data told us to fix first. buzzriding.github.io/blog/search-...

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Is your site cited in AI answers? We checked 8 prompts. Our own site: 0 citations. Here's how we measure it. buzzriding.github.io/blog/ai-answ...

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Adobe put Photoshop and Firefly inside Gemini and Claude. If you edit campaign images, this may change your workflow. What to try first: buzzriding.github.io/blog/adobe-g...

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New blog, weeks of impressions, almost no clicks. We tracked 28 days of Search Console data. Here's what it showed. buzzriding.github.io/blog/search-...

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Same 8 prompts, Google AI Mode, a month apart: about 60% of cited domains changed. AI citations aren't a stable ranking. buzzriding.github.io/blog/ai-answ...

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Photoshop and Firefly are now inside Gemini and Claude. Here's what really changed for marketers, and what's still hype. buzzriding.github.io/blog/adobe-g...

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Readers do spot generic copy fast, so that instinct makes sense. The marketers I know who use AI at all keep it to back-office stuff like summarising research or tidying drafts, and still write anything that carries the voice themselves.

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List cleaning is a fair example because it is rule-based, and plain automation handled much of it before agents. The risk I would watch is QA. A bad merge or a wrongly suppressed segment can quietly cost more than the salaries saved, so someone still has to own checking the output.

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Real pattern. Those pages tend to be built from keyword lists, so they answer the search string but not the actual question. A quick tell: if a page never gives a specific number, example or named source, it was probably written to match the query, not to help whoever typed it.

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Constant Contact added a Claude connector Sept 10: draft and publish email + social posts from one chat, then send with a click. What it does, how to turn it on, and the catch coverage skipped. buzzriding.github.io/blog/constan...

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Case studies take weeks because the interview is the easy part. This workflow turns a customer call into a draft case study with AI. buzzriding.github.io/blog/ai-case...

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Do Unbounce's AI features actually save time for solo marketers? We tested them for landing pages. Honest review inside. buzzriding.github.io/blog/unbounc...

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Your persona doc is probably stale. Here's a workflow that rebuilds customer personas from real interview and survey notes in an afternoon. buzzriding.github.io/blog/ai-cust...

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AI browsers are here. We looked at Perplexity Comet vs ChatGPT Atlas through a marketer's eyes: research, competitor checks and daily tasks. buzzriding.github.io/blog/perplex...

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Why does AI copy sound generic? Usually because nobody told it how you sound. A practical guide to writing a brand voice brief the model can actually follow. buzzriding.github.io/blog/brand-v...

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Three AI note-takers walk into a marketing meeting. We compared Fathom, Fireflies and Otter on what matters: accuracy, summaries and price. buzzriding.github.io/blog/ai-meet...

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Insight: NotebookLM works best when you feed it your own research, not the open web. A simple workflow for turning customer notes into briefs. buzzriding.github.io/blog/noteboo...

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Agree the overlap is bigger than the hype suggests. Clear answers and structure were already good SEO. One difference: AI answers often remove the click entirely, so branded search and direct visits are worth tracking alongside rankings.

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Citation sources shift whenever a model or its retrieval settings change, so one platform's Reddit drop may not last. I'd avoid building strategy on a single source. Checking a fixed list of real customer questions monthly shows more than any single citation trend.

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The thirty years of being the generalist is the part that holds up. Tools shorten the drafting, but someone still has to decide what's worth shipping and notice when the output is wrong. The 0-to-1 marketer is mostly an editor with enough craft to know what good looks like.

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Stop re-pasting your brand brief into every chat. → Brand voice → Audience notes → Past winners Set it up once as a Claude Project and reuse it. Templates inside. buzzriding.github.io/blog/claude-...

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Buzz Riding @buzzriding.bsky.social · 05/10/2026

Contrarian take: impressions without clicks isn't always a problem. Sometimes AI answers are quoting you instead. Here's how to tell the difference in Search Console. buzzriding.github.io/blog/search-...

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Question for marketers: when ChatGPT or Perplexity answers a question in your niche, is your brand cited? Most of us never check. Here's what we found this month and a simple way to start tracking it. buzzriding.github.io/blog/ai-answ...

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Buzz Riding @buzzriding.bsky.social · 05/10/2026

Adobe put Photoshop, Firefly and Acrobat inside Gemini and Claude on Sept 24. Missing: approval trails, brand-kit rules, and a feature May's preview promised that quietly didn't ship. buzzriding.github.io/blog/adobe-g...

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Claude Projects lets you keep your brand notes, past work and instructions in one place, so you stop re-pasting context every chat. Templates marketers can copy: buzzriding.github.io/blog/claude-...

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Unpopular take: your AI-written posts don't sound generic because of the AI. They sound generic because it never learned your voice. A brand voice guide fixes most of it. buzzriding.github.io/blog/brand-v...

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Three video tools, one question: which ones actually save a marketer time on repurposing? We compared them side by side so you don't burn a free trial finding out. buzzriding.github.io/blog/video-r...

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Do you write the persona first, or let AI draft it from your real customer data? Here's a workflow that starts with what customers actually said, then lets AI do the tidy-up. buzzriding.github.io/blog/ai-cust...

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The unglamorous part is what holds up for me: pages with something only you could write, like original data, firsthand notes or real examples. Hard to prove any trick moves AI answers, but that content also helps ordinary search visitors either way.

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"Perceive" is doing a lot of work in that stat. Speed and performance are different things. If you have both versions, compare AI-assisted and manual posts on saves or replies over a month. Self-reported impressions rarely match the numbers.

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A check that has helped me: take five pieces of AI-assisted copy and have someone who knows the product mark every claim they can't verify. The flagged count says more than whether it reads well, and it shows which tasks are safe to hand off at all.

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Want better AI answers for your marketing work? → Give it your brand voice → Show one good example → Name the audience → Say what to avoid Prompt templates inside. buzzriding.github.io/blog/how-to-...

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Most marketers pick an AI landing page builder on looks. Wrong filter. Ask instead: how fast can you edit copy, test a variant and publish without a developer? We compared the builders on that. buzzriding.github.io/blog/ai-land...

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We Re-Ran Our 8 AI Mode Prompts a Month Later. 60% of the Cited Sites Had Changed.

Our October AI citation count jumped 42% over September. We didn't use it as the headline. 19 of the 78 citations were one domain repeated inside a single answer — something September's file doesn't record. Comparable basis: +7%. buzzriding.github.io/blog/ai-answ...

buzzriding.github.io

Run 2 of the monthly AI citation index. 78 citations, 51 domains, and only 20 of them carried over from September.

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We Re-Ran Our 8 AI Mode Prompts a Month Later. 60% of the Cited Sites Had Changed.

We ran the same 8 marketing prompts through Google AI Mode in September and again in October. 51 domains cited in October. 48 in September. Only 20 were the same. ~60% of the cited set turned over in a month. Raw CSVs for both runs in the post. buzzriding.github.io/blog/ai-answ...

buzzriding.github.io

Run 2 of the monthly AI citation index. 78 citations, 51 domains, and only 20 of them carried over from September.

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Upload your research once and NotebookLM answers from your sources only. Here's how marketers use it to skip the endless tab-hopping. buzzriding.github.io/blog/noteboo...

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Turn one customer interview into a case study: → Transcribe → Pull the quotes → Shape the story → Edit by hand The full workflow is here. buzzriding.github.io/blog/ai-case...

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Stop asking which AI model is best. Ask which one fits each task: writing, research, or analysis. We compared all three for marketers. buzzriding.github.io/blog/chatgpt...

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Interviewing for a marketing role in 2026? Expect to be asked how you use AI day to day. Are you ready with a real example? buzzriding.github.io/blog/ai-mark...

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Which sources do AI answers actually cite? Our September roundup shows what marketers can do now to get their content picked up. buzzriding.github.io/blog/ai-answ...

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Are AI marketing certifications worth the money, or is a portfolio of real projects the better bet? We break down where each one pays off. buzzriding.github.io/blog/ai-mark...

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A policy like this works best when it spells out what counts. Generated images and copy are one thing; AI-assisted transcription, research or proofreading is another, and teams often disagree on that line. Written criteria plus a named person who signs off saves a lot of arguments later.

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