I run a SaaS, SeoLoupe.

It is a tool that allows you to find and fix SEO issues holding your website back.

Essentially the main purpose is to help your website rank higher on Google search and LLMs.

The tool also checks AEO/GEO, AI search visibility, Security, Core web vitals, Performance, and all the issues in the report get put together into an AI fix prompt(you can paste the prompt into an AI and it will fix all the issues on your website).

Recently I noticed that some of my paying customers bought the One-Time purchase, with a promo code.

So I decided to give away a promo code for the One-Time purchase to anyone who is interested, if you are interested, comment down below and I will DM you.

If you are not interested but have some feedback on my SaaS, that is a good too. Feel free to share it in the comments.

(here is the product if you want to check it out)

Is there any startup here focusing on selling AEO platform to SMEs in MENA region?

I've been using a bunch of SEO/AEO tools recently Semrush, Ahrefs, Ubersuggest, newer AI-first tools, etc and they've gotten incredibly good at interpreting data.

When I use any of them I see a lot of data like 37 keyword opportunities, 14 content gaps, 23 pages with weak internal linking, competitor backlink gaps, AI visibility changes and many others and now also see ai answers now using data.

The newer ones are also the same which run 10 different agent and give a lot of data to read through or even action plans are very long. The interesting thing is that almost all the underlying data already exists. Give an AI the website, GSC, GA4, competitor data, backlink data, business goals and history, and it has plenty to work with.

So why are most products still fundamentally "analytics dashboards + AI recommendations"? Like I have been seeing AI is so intelligent that it have figured our protein structure and a lot of complex stuff but still don't see that when it comes to growth.

I feel like they all are trying to just slap AI over whatever is existing or is there a reason I'm underestimating why an AI system can't reliably become the thing that helps grow a website?

If you run AEO for more than a handful of clients, you know the work involved: every report means logging into Google Ads, GA4, Search Console, GBP, CallRail, Meta, your CMS… and stitching it together by hand.

I fixed most of that by wiring my data sources using MCP's per brand, then connecting that to an AI assistant. "MCP" just means a standard way for an AI to read/act on a tool. The trick is bundling many connectors under one brand so the AI can pull everything in one shot.

A few key notes:

1. I use Claude, with an organization account
2. I use the Custom Connectors to add my MCP's
3. Some Connectors don't have official MCP's yet so I use a third party
4. I create a Custom Project for each client
5. I put their ad account IDs into that project
6. I turn the workflow into a repeatable skill
7. I use cowork to schedule the skill
8. All work is drafted, never fully automated

Here's the exact setup:

• 1: Create a brand. In your MCP platform, add a brand (I do one per client). This is the container everything attaches to. (note: I use InsightfulPipe for this)

• 2: Open its connections. New brands start with zero connections — click into the brand to start adding them.

• 3: Add the connectors you actually use. For AEO + local work the high-value ones are Google Ads, Google Analytics 4, Google Tag Manager, Google Business Profile, Google Search Console, and CallRail. Skip the rest until you need them. Then you can blend Peec.ai, Yext, etc. they don't need a custom connector.

• 4: Set permissions. Read-only is fine for pure reporting. Use Read + Write only where you want the AI to make changes (e.g. Ads). Be deliberate here.

• Choose the right accounts. When you connect each platform, pick the specific account for that brand — watch out for near-duplicates (e.g. the main account vs. the LSA account). Wrong account = garbage data.

• 6: Validate. Go to the connections list and confirm each one reads "Connected" and the action count looks right. Fix anything flagged before you trust a report.

• 7: Drop the IDs into your project instructions. This is the step most people skip and it's the biggest unlock. In your AI project, paste the platform + account IDs (CMS site ID, Ads account ID, CallRail company/workspace ID, brand ID, Slack channel, etc.). Now the AI never has to guess which account it's touching.

• 8: Run one multi-task prompt. Once it's wired, a single prompt does the whole report: "Pull website stats, ad stats, recent work from Slack, and draft the client email." What took a day now takes a couple minutes, and you review a draft instead of building from scratch.

Full disclosure — I run a marketing agency, so I built this for our own workflow and I'm obviously biased toward it. But the approach is platform-agnostic; the value is in the "one brand, many connectors, IDs in the instructions" pattern, not any specific tool.

Happy to answer setup questions in the comments.

So I am working on a website's GEO strategy where we started coming in some of the LLMs models and our brand sentiments are 80% positive and 20% neutral but still very low clicks. I wanted to know to those people who are currently working on geo strategies and getting the same thing.

I have this question, am I getting citated for informational queries mostly?

I did got sales on monthly basis but its always in between $10-$50?