Intellar

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.