u/carlos_jimenez_may

Hey guys! Our agency took on a few new clients recently (12 brands total). Up until now, we’ve been hacking together Notion boards and Google Sheets, but it’s completely falling apart.

We tried testing a few schedulers, but they dump all our accounts into one massive feed and now it's too easy to post to the wrong brand. We're playing around with Planable and Hootsuite right now, but we're still trying to figure out the best overall workflow.

So what is the most efficient way to manage multiple social media calendars?

Appreciate your support!

Want to sanity-check how the community thinks about the structure of a real SEO analysis service today. The problem is that most of what agencies and freelancers sell under that name is basically the 2019 checklist with AI bolted onto the title.

Here's my list of what I think should be in a modern one, and I want to hear where I'm wrong or what I'm missing:

Classic technical audit

Crawlability, indexation, Core Web Vitals, mobile-first, hreflang, canonicals, structured data. It's the base without which nothing else matters. But it's not a differentiator anymore - anyone with a decent tool (SE Ranking, Screaming Frog, Ahrefs) can produce this.

AI search visibility analysis

This is where most people still aren't digging properly. You need to show the client where they stand across ChatGPT, Perplexity, Gemini, AI Overviews, AI Mode. Who mentions them by brand, where their domain gets cited as a source, where they're completely absent. It's not a bonus anymore, it's the foundation of the 2026 conversation, and if it's missing from the analysis the service is outdated.

Entity analysis and topical coverage

Not just a keyword list, but how the domain covers the topic through the lens of entities. Who are your competitors by entities (not by keywords), which entity gaps need to close before you have a shot at LLM citation.

Content quality audit through the LLM-friendliness lens

How structured is the content so LLMs can extract facts from it. Headings, lists, comparison tables, clean definition-style paragraphs. Content without this structure doesn't make it into AI Overviews even when it ranks top 3.

Backlink profile analysis with a focus on AI-relevant sources

People used to just count DA/DR. Now what matters more is whether the sites linking to you get cited by LLMs themselves. A link from a site ChatGPT recommends in your niche is worth dozens of links from random blogs.

SERP feature and intent analysis

Featured snippets, People Also Ask, image packs, video carousels, AI Overviews. The distribution of traffic across SERP features rewrites the whole strategy.

Competitor delta

Not just

>here are the top 10 competitors by visibility

but what they're actually doing differently and which of their tactics are genuinely working.

First-party client data

GSC, GA4, CRM, conversion data. An SEO analysis service without integration into real business data is guesswork. Why rankings dropped or grew — you can only answer that when you see the full picture.

Practical action plan with prioritization

Not an 80-page report but 15 concrete actions sorted by ROI. The client doesn't need a dissertation, they need to know what to do Monday morning.

What am I missing? What's overkill?

Especially curious to hear from people who sell SEO analysis service as a productized offering.

We’re currently evaluating our agency tech stack and looking for solid Semrush alternatives to handle keyword research, rank tracking, and competitor audits for client campaigns. So far, we’ve short-listed a few popular keyword tools and software options:

• Ahrefs
• SE Ranking
• Mangools
• SpyFu

Which of these tools have you successfully implemented in an agency environment, and which keyword tools deliver the highest return on investment?

TIA!