Intellar

06/10/2026

𝟑 𝐬𝐞𝐜𝐨𝐧𝐝𝐬 𝐨𝐧 𝐰𝐡𝐲 𝐚 𝐁𝐋𝐔𝐅 𝐬𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐬𝐢𝐦𝐩𝐥𝐞 𝐚𝐧𝐝 𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐨𝐩𝐭𝐢𝐦𝐢𝐬𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐀𝐈 𝐬𝐞𝐚𝐫𝐜𝐡.

In the screenshots below:

> The Porsche metadata and landing page objectively tells me very little about the car up front.

> Wikipedia tells me everything (yes the title could be better but it's Wikipedia)

Guess where the AI Mode answer is pulling much of the model context from to answer my brand exact search...

Same logic applies to any product.

If you want to control the AI narrative, it starts with your own website.

01/10/2026

𝐈'𝐯𝐞 𝐬𝐩𝐞𝐧𝐭 𝐭𝐡𝐞 𝐥𝐚𝐬𝐭 𝐟𝐞𝐰 𝐰𝐞𝐞𝐤𝐬 𝐩𝐮𝐥𝐥𝐢𝐧𝐠 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫 𝐞𝐯𝐞𝐫𝐲 𝐜𝐚𝐫 𝐛𝐮𝐲𝐢𝐧𝐠 𝐬𝐭𝐚𝐭 𝐈 𝐜𝐨𝐮𝐥𝐝 𝐟𝐢𝐧𝐝 𝐟𝐫𝐨𝐦 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐢𝐧 𝐀𝐮𝐬𝐭𝐫𝐚𝐥𝐢𝐚 𝐚𝐧𝐝 𝐍𝐙, 𝐩𝐥𝐮𝐬 𝐭𝐡𝐞 𝐚𝐝𝐝𝐢𝐭𝐢𝐨𝐧 𝐨𝐟 𝐦𝐲 𝐨𝐰𝐧 𝐧𝐞𝐰 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐨𝐧 𝐡𝐨𝐰 𝐆𝐨𝐨𝐠𝐥𝐞'𝐬 𝐀𝐈 𝐢𝐬 𝐬𝐡𝐨𝐰𝐢𝐧𝐠 𝐚𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐬 𝐧𝐨𝐰.

A few that stood out:

→ Google showed a map pack in 299 of 300 local car-service searches.

→ Every "X vs Y" car comparison we searched got an AI Overview.

→ In AI Mode, the first follow-up question was about budget 60% of the time.

21/09/2026

𝐈'𝐦 𝐧𝐨𝐭 𝐬𝐨𝐥𝐝 𝐨𝐧 𝐭𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐩𝐫𝐨𝐦𝐩𝐭 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐬𝐜𝐨𝐫𝐞𝐬 𝐚𝐬 𝐞𝐯𝐢𝐝𝐞𝐧𝐜𝐞 𝐨𝐟 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐮𝐫. 𝐓𝐡𝐞𝐲 𝐭𝐞𝐥𝐥 𝐮𝐬 𝐰𝐡𝐚𝐭 𝐡𝐚𝐩𝐩𝐞𝐧𝐞𝐝 𝐢𝐧 𝐬𝐞𝐥𝐞𝐜𝐭𝐞𝐝 𝐭𝐞𝐬𝐭𝐬. 𝐓𝐡𝐞𝐲 𝐝𝐨𝐧'𝐭 𝐫𝐞𝐯𝐞𝐚𝐥 𝐭𝐡𝐨𝐬𝐞 𝐩𝐫𝐢𝐯𝐚𝐭𝐞 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐬, 𝐥𝐞𝐭 𝐚𝐥𝐨𝐧𝐞 𝐰𝐡𝐚𝐭 𝐬𝐨𝐦𝐞𝐨𝐧𝐞 𝐝𝐢𝐝 𝐚𝐟𝐭𝐞𝐫𝐰𝐚𝐫𝐝𝐬.

I've uploaded photos of my garden to AI and asked how to care for a plant.

The point is I already own the product, and my journey in AI starts there.

A prompt visibility score tells us what happened in the prompts tested. It doesn't tell us what real customers asked, supplied or did next.

Tracking long tail prompts as a measure of AI visibility misses much of the context, and arguably gets a lot of the query wrong.

This is where AI search and SEO overlap. We still need traditional organic metrics alongside newer visibility measures, including impressions, clicks, landing-page performance and conversions where we can observe them.

Tracking prompts, especially specific sets of long-tail prompts alone, is not enough to measure AI visibility.

03/09/2026

People increasingly discover a topic on social media, validate it through search, then return to social proof before deciding what to trust.

We mapped what this expanded organic journey means for content, measurement and visibility.

Read the Intellar analysis:

Q2 2026 clickstream data shows social search adding stops to the organic journey, not stealing it. The numbers, and how to fold them into an SEO program.

29/07/2026

My quick analysis on the recent State of Search report for Q2 2026.

As always, lots of very interesting data in here.

This report confirms what the others before it have, which is that AI search and Google are both growing together.

This time though there are some interesting swings towards Google's ecosystem.

The State of Search report for Q2 2026 just dropped and the takeaways are much the same as the preceding reports. 1.

29/05/2026

Google in their AI SEO guide:
“you don’t need to create machine readable files”

Also Google when announcing a new core web vitals measure:
“LLMs.txt: Checks for the presence of a machine-readable summary at the domain root”.

Prime example of what Google says and what Google does not matching.

Google is introducing an "Agentic Browsing" category that evaluates how well your site is constructed for machine interaction through a set of deterministic audits.

May as well create your llms.txt file. No harm in it for SEO, and looks to be an upcoming check in the PWA section of lighthouse.

For businesses wondering about how AI impacts their discoverability, this is one key emerging element.