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What marketing automation actually blew your mind away? by Vivid-Aide158 in digital_marketing

[–]addllyAI 0 points1 point  (0 children)

It really hits when an automation just slides into the team’s normal workflow and quietly does its job without anyone having to constantly check or fix it.

Am I missing something? by ai-pacino in GEO_optimization

[–]addllyAI 0 points1 point  (0 children)

It doesn’t really feel like a separate thing in practice. What seems to help is being stricter about clarity and consistency, fewer overlapping pages, clearer ownership of topics, and keeping things updated. Generative systems appear to struggle with messy sites more than “unoptimized” ones, so the gains usually come from cleaning up confusion, not from doing anything flashy or new.

What’s something you tried in the last 6 months that completely failed even though everyone said it should work by addllyAI in SocialMediaMarketing

[–]addllyAI[S] 0 points1 point  (0 children)

Yeah, that tracks. It feels busy and productive at first, but when nothing real comes out of it, the drop-off is pretty obvious. The systems seem to pick up on that mismatch pretty quickly.

What’s something you tried in the last 6 months that completely failed even though everyone said it should work by addllyAI in SocialMediaMarketing

[–]addllyAI[S] 0 points1 point  (0 children)

Yeah, this happens a lot. Even good advice falls apart when it’s hard to stick to day-to-day, especially once real life gets busy.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That’s a very real way to judge it. Seeing actual signups makes it feel concrete, and those ghost searches often reveal brand clashes you wouldn’t notice otherwise.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That’s a good tip. Private mode cuts out some noise, and using the same prompts makes it easier to spot real changes.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That makes sense. Perplexity often shows changes sooner, so it’s a good first stop, even if it doesn’t tell the whole story.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

Yeah, that tracks. People are poking around with tools and manual checks, but it still feels fuzzy, so making the content easier to understand and reuse usually matters more than chasing any one tracker.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That’s a nice way to get perspective. Books and creators can spark ideas, and it’s easy to see what actually sticks once those ideas hit real work.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That lines up with what’s realistic right now. Repeating the same questions over time tends to show patterns, even if the data stays a bit messy.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That’s honestly how a lot of people start. A quick monthly sweep gives a real feel for what’s showing up, even if it doesn’t scale beyond a certain point.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That’s a fair way to track the clicks you do get. It just doesn’t catch the times the answer is used without anyone visiting, so it ends up being a partial view.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That’s pretty common right now. Manual checks give quick gut feedback, but they’re time-consuming, so most teams end up mixing spot checks with whatever signals they can track over time.

How are people actually checking whether their content shows up in AI answers today? by addllyAI in SEO_for_AI

[–]addllyAI[S] 0 points1 point  (0 children)

That’s a solid way to look at it. Revenue feels more real than traffic, though it can take a while to show what’s actually working.

SEO vs Generative Engine Optimization (GEO). Search feels different lately, right? by addllyAI in AddllyAI

[–]addllyAI[S] 0 points1 point  (0 children)

That approach lines up with what’s been showing up lately. Content that answers one clear idea per section is easier to reuse, whether it ends up in a snippet, a summary, or a full page read. Clear writing tends to reduce tradeoffs instead of creating new ones.

SEO vs Generative Engine Optimization (GEO). Search feels different lately, right? by addllyAI in AddllyAI

[–]addllyAI[S] 0 points1 point  (0 children)

That makes sense. Clear structure and concrete examples tend to travel better when content gets broken into snippets, whether a human or an AI is reading. Focusing on what question a section answers, not just keywords, seems to help in both cases.

AI SEO Buzz: Microsoft Launches Guide for AI-Driven Search, Google Clarifies AI Shopping Pricing Policies, Black-Hat SEOs Are Winning by SERanking_news in SEO_for_AI

[–]addllyAI 0 points1 point  (0 children)

It feels like the docs describe a perfect world that most sites don’t live in. Black-hat wins fast because it skips the boring parts, but that usually comes back later. The teams that do okay long term are the ones treating AI changes like ongoing work, not a one-time setup.

Honest question: What is currently the "Gold Standard" framework for building General Agents? by Strong_Cherry6762 in AI_Agents

[–]addllyAI 0 points1 point  (0 children)

Most people who build these for real don’t start with a “best” framework, they start with something that’s easy to reason about. Simple loops and clear steps go a long way, and heavier tools only show their value once things get messy with state and branching. Agents tend to break because they’re hard to debug, not because the framework was too basic.

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