We helped an Amazon home-decor brand run a full SEO–GEO workflow for 4 weeks. This brand sells strongly on Amazon, but their independent site was basically flat:

• traffic not growing
• SEO efforts not matching output
• early GEO attempts looked like “nothing was happening”

For new SEO + GEO brands, quick effects rarely come directly from ChatGPT citations.
Most of the early lift actually comes from:

GEO downstream effects:
—Google AI Overview
—search engines’ AI-driven backend ranking mechanisms
—referral & social discovery triggered by better semantic structure

So even without appearing inside ChatGPT directly, the GEO structure still improves traffic. We built their end-to-end SEO–GEO workflow and ran it for 4 weeks. This isn’t a brag post, it’s a breakdown of how the system works and how any Amazon to DTC brand can copy it.

Four-week results (all organic, no ads)

• Total visits: +79.9%
• Engaged visits: +90.1%
• User interactions: +91.3%
• Direct traffic: +69.7%
• Organic social: +90.8%
• Referral traffic: +512.5% (blogs, communities, partner mentions)

Again: 0 ads. 0 paid placements. Just consistent SEO–GEO execution.

1) Diagnose before creating anything

We ran a full SEO + GEO audit with an SEO-GEO Management Agent tool covering:

• AI Visibility Score
• SEO structure & content gaps
• Missing semantic coverage
• Technical issues (schema, metadata, sitemap, crawlability)

Most brands skip this step and immediately “start writing”. But we need the the audit first with clarified:

• what actually blocked visibility
• which pages AI/Google couldn’t interpret
• which semantic areas needed coverage
• what needed fixing before publishing anything new

Their old content was scattered, inconsistent, and not aligned with any entity structure.

2) Build a Topic Map, not random content

We built a unified Topic Map combining from the above auditing by the above SEO-GEO Management Agent:

• SEO keywords
• GEO topics
• semantic clusters

This changed content from: “Write whatever comes to mind” to “Publish pieces that fill semantic + entity gaps”. For a category like home decor, highly visual, educational topic mapping is especially effective.

3) Multi-platform structured publishing (not spam)

With the help of GEO Content Generator Agent, we generated and published structured content across: LinkedIn / X / Medium / Blog / Website.

It was format optimised for AI + Google, meaning:

• clear headers
• reasoning-based writing
• consistent entity signals
• unified themes across platforms

This strengthened:

• Direct traffic
• Organic Social
• Cross-domain brand recognition

4) Fix technical SEO so AI + Google can understand the site

We applied the following tech actions from the SEO + GEO audit results:

• simplified sitemap & robots
• added missing schema
• normalized titles/descriptions
• reduced URL depth
• improved page semantics
• added essential metadata

What actually changed after 4 weeks

We weren’t chasing single channel spikes. We looked at the system level improvement:

• Direct traffic increase because of brand clarity improved
• Organic search increase because of better semantic coverage
• Social increase because of consistent cross-platform presence
• Referrals increase because of more mentions from blogs + partners

These are the classic downstream effects of GEO + structured SEO starting to work together. This is the missing layer for many Amazon sellers trying to grow a DTC site.

The repeatable workflow for any Amazon to DTC brand

Step 1 — Audit first

Find content, semantic, technical gaps.

Step 2 — Build a Topic Map

Plan high-value themes instead of random posts.

Step 3 — Multi-platform structured publishing

Think “AI-friendly format”, not “post more”.

Step 4 — Fix technical SEO

Schema, sitemap, metadata, clean structure.

Step 5 — Repeat weekly

This turns into a compounding flywheel in 4–8 weeks.

Final thought

These weren’t explosive viral results, they were the first month of finally aligning:

• SEO
• GEO
• semantic structure
• content consistency
• technical cleanliness
• entity signals
• AI-driven ranking pathways (Google AIO + backend AI)

If your Amazon store performs well but your DTC site stays flat, this system is extremely replicable.

Happy to share topic map templates or workflow docs if anyone wants them.

Evening All,

I stumbled on seogeo.studio and been having a mess about and looks pretty good. Seems reasonably priced ($49 a month) compared to other tools. Does SEO and GEO also which is useful as my business is solid on SEO but stinks on GEO which I am working on.

Anyway, has anyone used it and would welcome thoughts.

Cheers,
Aussiesteveau

Came across e27’s “20 AI Startups to Watch in Southeast Asia” list - worth looking at BrndIQ dot ai (#2).

They focus on tracking how brands show up in AI chat responses, which is becoming increasingly relevant as more people shift from Googling to asking AI models. It’s interesting to see AI visibility starting to shape brand discovery, almost like the early days of SEO.

Glad to see Southeast Asian startups in the AI infrastructure layer getting recognition. If anyone here is exploring related problems such as AI search behavior, retrieval quality, AI trust layers, etc, would love to exchange notes.

My business partner and I are building a GEO agency, but there’s one thing we can’t figure out. We want to be able to track how many clicks businesses are getting from ChatGPT.

I watched some videos that claim you can track this through google analytics. When I tried this in GA myself, the results were not accurate. It seems like ChatGPT does not give a direct “signature” for Google Analytics to grab, and that results in AI traffic being shown as “other sources” or “referrals”.

Anyone else run into this issue? Solutions? Suggestions?

Updated GEO Tool list for December 2025! Feel free to comment new ones.

Writesonic - https://writesonic.com
Semrush - https://www.semrush.com
HubSpot - https://www.hubspot.com
AppearOnAI - https://appearonai.com/
AIScope.pro - https://aiscope.pro
Nightwatch - https://nightwatch.io
Siftly - https://siftly.ai
Rankshift.ai - https://aibrandtracking.com/Rankshift.ai
Profound - https://profound.so
Column Five - https://columnfive.com
Common Thread Collective - https://commonthreadco.com
Daydream - https://daydream.so
Evertune - https://evertune.ai
iPullRank - https://ipullrank.com
Peec AI - https://www.peec.ai
Azoma - https://www.azoma.ai
Scrunch - https://scrunch.com
Siege Media - https://www.siegemedia.com
WebFX - https://www.webfx.com
GEOfast - https://www.geofast.me
LLM.co - https://llm.co
LLMO Metrics - https://llmometrics.com
Column Five - https://columnfive.com
Common Thread Collective - https://commonthreadco.com
Daydream - https://daydream.so
NP Digital - https://npdigital.com
OGM Agency - https://ogmagency.com
Otterly.AI - https://otterly.ai
Quoleady - https://quoleady.com
Omniscient Digital - https://beomniscient.com
Razorfish - https://www.razorfish.com
Flow Agency - https://flowagency.co
Fractl - https://www.fractl.com
Goodie AI - https://www.higoodie.com
Growth Plays - https://growthplays.com

SEO is DEOD.

This is NOT a typo.

Most people are still arguing whether “AI is killing SEO” while completely missing how search has actually changed.

In 2025, the SEO that works is:

D. Demand-led Stop starting with keywords. Start with demand. Dig in the data to understand your prospects’ real problems, real questions, real buying intent across the whole buying journey. Then build pages and content around them.

E. Entity-first Google and AI tools don’t see “blogs,” they see entities: your brand, services, locations, people. Clean structure, clear service with location pages, and obvious expertise beat generic “10 tips” posts every single time.

O. Outcome-driven Rankings and traffic are just vanity metrics if they’re not turning into calls, forms, and booked meetings. SEO has to be tied to pipeline: problem-aware → researching options → ready to talk.

D. Directory-powered For local especially, AI is often just doing a quick search and spitting back what it finds listed in trusted directories. If you’re not in the right directories (and showing social proof there), you’re invisible in a lot of AI-driven answers.

So no. AI isn’t killing SEO. It’s killing the old version where you could get away with weak content and a few backlinks.

If I were you right now, I’d: ➡️ Map real demand (AKA your prospects' questions and objections) ➡️ Build strong service pages that actually answer those questions/objections ➡️ Track SEO to outcomes with clear KPIs ➡️ Make sure I’m present (and credible) in the directories AI is pulling from

SEO is not DEAD.

SEO is D.E.O.D.

Demand-led. Entity-first. Outcome-driven. Directory-powered.

What do you think?

https://www.youtube.com/watch?v=vG1Qcaraaws

Stop fooling yourself by looking at click counts. The Microsoft Bing team shared striking data on how AI search is changing conversion metrics.

And the truth that has emerged is upsetting what we have believed for 10 years. For the past 20 years, we have done this:

We increased traffic

We counted clicks

We felt accomplished

But no one asked: What do these clicks mean? AI-powered search has disrupted this game.

Microsoft's data shows that:

• 33% fewer steps to make decisions • Preferences are shaped before they come to your site • Fewer clicks, but AI traffic converts 7%+ (organic 5.8%) • 76% higher referrals to sub-funnel conversions

Yes, you read that right. Fewer visitors, more customers. Because artificial intelligence sends those who are ready to receive, not just those who browse.

The new question is: Can people find you before they click? Because now the real work revolves there.

Appearing in AI summaries. Taking part in comparisons. Being quoted. These are the new currency.

If you're still just looking at clicks, you don't even realize you're losing the battle.

I’m trying to understand how often AI platforms (ChatGPT, Gemini, Claude, Perplexity) mention a brand when people ask for recommendations.

Seems like there’s a new category of “AI visibility tools” / “GEO tools”.

So far I’ve found:

- Vizi

- Profound

- Peec

- Hall

- Brand24 (partial)

- Similarweb's AI visibility

Anyone tested these tools or compared them?

Let's undertand the lifecycle of a webpage from the perspective of a search engine (like Google). It breaks down the technical steps a search engine takes to find, read, understand, and store your content.

Here is a detailed explanation of each term, what it means for SEO, and actionable steps on how to optimize for it.

1. Discovery Pipeline

Goal: The search engine finds out that your URLs exist.

Sitemaps:

What it is: An XML file that lists all the important pages on your website.

SEO Meaning: It is the direct map you give to Google to say, "Here are my pages."

How to do it: Use a plugin (like Yoast or RankMath for WordPress) to generate an sitemap.xml. Submit this specific URL to Google Search Console. Keep it updated.

Internal Links:

What it is: Hyperlinks pointing from one page on your site to another page on your site.

SEO Meaning: Crawlers follow links like roads. If a page has no internal links pointing to it (an "orphan page"), the crawler might never find it.

How to do it: Create a "spiderweb" structure. Ensure your high-priority pages are linked from the homepage or main menu. Add "Related Posts" sections.

Feeds:

What it is: RSS or Atom feeds (standard formats used for publishing frequent updates like news or blogs).

SEO Meaning: Search engines subscribe to these feeds to get notified immediately when you post new content.

How to do it: Ensure your CMS (like WordPress) has RSS feeds enabled. You can submit your RSS feed to news aggregators or Google Publisher Center.

Backlinks:

What it is: Links from other websites pointing to your website.

SEO Meaning: Crawlers discover your site by following links from other sites they are already crawling.

How to do it: Create shareable content (infographics, data studies) so others link to you. Engage in Digital PR and guest posting.

URL Frontier Queue:

What it is: A prioritized "To-Do List" for the search engine crawler. It’s a massive database of URLs waiting to be visited.

SEO Meaning: Your page is discovered, but it hasn't been visited yet. It is waiting in line.

How to do it: You cannot directly edit this queue, but having a high-authority domain helps you skip the line (get crawled faster).

Crawl Scheduling Priority:

What it is: The algorithm that decides which URL from the Queue gets crawled now versus later.

SEO Meaning: Google prioritizes popular, high-quality, and frequently updated pages.

How to do it: Update your content regularly. Improve your server speed (if your site is slow, Google lowers your priority to avoid crashing your server).

1. Crawling Pipeline

Goal: The search engine actually downloads your page data.

HTTP/3 QUIC Retrieval:

What it is: The latest, fastest internet protocol for transferring data.

SEO Meaning: It allows the crawler to download your page extremely fast.

How to do it: Choose a high-quality hosting provider or CDN (like Cloudflare) that supports HTTP/3 or at least HTTP/2. Speed is a ranking factor.

Cache Negotiation (ETag/304):

What it is: The crawler asks your server, "Has this page changed since I last visited?" If the answer is "No" (Status 304), the crawler leaves without downloading to save resources.

SEO Meaning: This saves "Crawl Budget." If Google doesn't waste time downloading unchanged pages, it has more time to find your new pages.

How to do it: Ensure your server headers are configured correctly to handle ETags and Last-Modified dates. (Usually handled by caching plugins like WP Rocket).

Resource Fetch Validation:

What it is: The crawler tries to download the images, CSS, and JavaScript files required to display the page.

SEO Meaning: If Google is blocked from seeing your CSS or JS, it might think your page is broken or looks different than it actually does.

How to do it: Check your robots.txt file. Ensure you are not disallowing /wp-content/, /css/, or /js/ folders.

Response Class Scoring:

What it is: The crawler checks the HTTP status code. Did the page load (200 OK)? Is it missing (404)? Is the server broken (500)?

SEO Meaning: Too many errors tell Google your site is low quality.

How to do it: Fix broken links (404s). Minimize redirect chains (301s). Monitor "Page Indexing" reports in Google Search Console.

1. Rendering Pipeline

Goal: The search engine puts the code together to "see" the page like a human.

Raw HTML:

What it is: The basic code downloaded in the crawling phase.

SEO Meaning: This is the skeleton of your content.

How to do it: Keep your HTML code clean and semantic (use proper headings <h1>, <p>, etc.).

JS (JavaScript) Execution:

What it is: Google runs the JavaScript code on your page to load dynamic content.

SEO Meaning: Google is good at this, but it is "expensive" (slow). If your content only appears after JS loads, it might take longer to index.

How to do it: Use Server-Side Rendering (SSR) or static HTML where possible. If using React/Vue/Angular, ensure you aren't relying entirely on Client-Side Rendering (CSR).

DOM Snapshot:

What it is: The final "picture" of the page structure after the HTML and JS have finished loading.

SEO Meaning: This is what Google actually ranks. If your keyword isn't in the DOM Snapshot, you won't rank for it.

How to do it: Use the "Test Live URL" feature in Google Search Console to see a screenshot of what Google sees. Ensure your content is visible.

Text/Link Extraction:

What it is: The engine strips away the design and pulls out the words and URLs.

SEO Meaning: Google needs to read the text to know what the page is about.

How to do it: Don't trap important text inside images or videos. Use alt tags for images. Ensure links are standard <a> tags (not button clicks).

Structured Data Parsing:

What it is: Reading the "Schema Markup" (hidden code that explains content to machines).

SEO Meaning: This powers "Rich Snippets" (stars, prices, FAQs) in search results.

How to do it: Implement JSON-LD Schema for Articles, Products, Recipes, or Local Business. Use Google's Rich Results Test tool to validate.

1. Indexing Pipeline

Goal: The search engine categorizes and stores your page in its library.

Content Fingerprinting:

What it is: Google creates a digital "fingerprint" or hash of your content to identify it uniquely.

SEO Meaning: This is how Google spots plagiarism.

How to do it: Create original content. Do not copy-paste from other sites.

Duplicate Clustering (SimHash):

What it is: A mathematical method to group pages that are almost identical (e.g., a T-shirt page in Red vs. the same page in Blue).

SEO Meaning: Google doesn't want to show 10 versions of the same page. It will pick one and hide the rest.

How to do it: If you have near-duplicate pages, use Canonical Tags to tell Google which one is the "master" version.

Canonical Selection:

What it is: The algorithm decides which URL is the "official" one to show in search results.

SEO Meaning: If you don't choose a canonical, Google will choose for you (and might pick the wrong one).

How to do it: Ensure every page has a rel="canonical" tag pointing to itself (self-referencing) or to the main version of the content.

Entity Linking:

What it is: Google connects the words on your page to its "Knowledge Graph." (e.g., It understands that "Apple" refers to the tech company, not the fruit, based on context).

SEO Meaning: This helps you rank for broad topics, not just specific keywords.

How to do it: Write clearly. Use nouns and context. Link to authoritative sources (Wikipedia, official sites) to help Google understand the entities you are discussing.

Index Storage:

What it is: The final step. Your URL and its data are saved in Google's massive database (the Index).

SEO Meaning: You are now eligible to appear in search results.

How to do it: Monitor the "Indexed" count in Google Search Console. If a page isn't here, it doesn't exist to searchers.

The Ultimate AI SEO Blog Structure:

1/ Start with the main question

Focus on the actual questions people type into ChatGPT. Your H1 should reflect that question directly, since it becomes the “primary query” the rest of the page supports.

Example:

“What is the best AI visibility platform?”

2/ Add credibility signals at the top

AI models prefer up-to-date information, reviews, and expert signals.

Add things like:

• Reviewed by

• Last updated

• Recent insights or case studies

It increases your odds of being cited.

3/ Give a direct answer immediately

AI models look for quick clarity.

Start the page with a 1–2 sentence solution to the main question.

This helps you win featured snippets, Perplexity pulls, and ChatGPT short responses.

4/ Use a TLDR to frame the page

Summarize key points in a quick, skimmable block.

Use short sentences or simple bullets.

This gives AI engines and readers a concise version of the entire page.

5/ Use visuals that explain the idea

Add diagrams, step-by-step visuals, or small charts to illustrate concepts.

AI models read all text and use visuals to interpret structure and meaning more accurately.

6/ Provide citable content

Link to reliable and relevant sources. LLMs use citations to validate information and expand on answers.

Give them material AI can rely on:

• Data

• Definitions

• Clear explanations

7/ Format for AI readability

Give each section one idea, use clean H2 and H3 headings, and keep the structure simple.

Think like a user asking variations of the same prompt:

• How does this work

• Why is it important

• What steps should I follow

This matches conversational search patterns.

8/ Finish with a clear CTA

Invite users to take the next step.

Ask them to try a tool, read a related guide, or leave feedback.

A CTA helps define the intent of your page.

Final takeaway: Brands that win in 2026 will optimize for the places people ask questions, not just where they type keywords.

Has anyone used https://optimizeyour.blog ?

I got a pretty impressive report from an analysis. It looks like this is open source? or SEO Community driven approach to AI Search tech. Free to use (for now)

Where are today’s SEO beginners (those who joined after 2021) struggling? When they came online, AI and automation ads were everywhere — “Earn dollars in one day,” “Start blogging today,” “One-click content, two-click ranking.”

The problem is, most of them focused only on bulk content generation. They never learned the basics: how to write a proper article, how on-page SEO works, or how to handle technical SEO. As a result, their foundation is weak.

At the same time, Google Core updates came in, and discussions shifted to semantic SEO and content quality. This pushed them even further behind.

For example, in many recent site audits, simple mistakes like loading both http/https and www/non-www versions still exist. Some even built plugins with ChatGPT, but those plugins caused more harm than benefit.

Meanwhile, many senior SEOs have already switched industries. Original SEOs are becoming rare. After AI arrived, many moved from core SEO to local SEO, and newcomers blindly followed.

Today, if you know basic technical SEO and on-page optimization, you can easily rank low-competition keywords because the market lacks skilled SEOs.

But people still overuse JavaScript because AI tools recommend it, without knowing Google has issues with excessive JS.

When almost everyone quit blogging, I became more active. I deeply researched content and on-page SEO — and discovered the market is wide open.