Seer Interactive

Claude and I had a 12,000 word back and forth on how to use Cloudflare and GA4 data to answer a hard question. If you were a SaaS marketer what would you do with all that context to make better answers? Maybe the answer isn't "better content" but build a Claude connector and market it aggressively to prepare for a world where agents just say "keep working in one click".

We ran a direct comparison of 346 matched prompts to see whether ChatGPT-5.6 Luna behaved differently from GPT-5.5 GPT-5.6 Luna used web search more often but ran fewer queries, resulting in little movement on the number of fan-out queries compared to GPT-5.5 Domain-target searching increased drastically (more than 3x), while consulted sources and inline citations dropped Our take: Luna is getting better at finding information and needs fewer resources, so brands should pay more attention to...

I pulled the numbers on everything we published this year to find the most valuable blogs (MVBs?), according to our readers. To focus on the content that readers chose to engage with, I pulled the following metrics: Total Site Visits (All Channels), Referral Sessions from Wil's LinkedIn, Newsletter Clicks, Form Submissions per Post.

Market Pressure and Operational Readiness Worksheet Estimated time < 15 min Answer each one yes or no. Every question is answerable from an export you already have access to listed as the sources under each. Answer for the last 90 days. Yes means pressure. 1. Has the number of advertisers in your brand auction grown across the last three 30-day windows? Source: Auction insights export 2. Has your impression share on brand terms dropped 5 points or more in that period? Source: Auction insights.

TL;DR Claude’s watermark only flags that Claude was “likely involved,” so it can’t tell a fully AI-drafted piece from a human draft Claude lightly edited It’s an EU compliance requirement (Code of Practice on Transparency of AI-Generated Content). This is not a new Google ranking signal. Google has run its own version (SynthID-text)on Gemini for two years and never used it to rank anything The real traffic risk is thin, templated content and not the watermark.

TL;DR Everyone measuring AI search is defaulting to the same KPIs, but there is no one-size-fits-all AI search KPI New research shows 54% of AI search categories lack a clear category owner, and those categories represent 89% of all AI search demand If someone else owns your category, you should stop chasing visibility and instead focus on accuracy: when you do show up, does the model describe you the way you actually want to be described?

TL;DR I reviewed our traffic-decline-analysis skill's and found four real problems: a traffic number from the wrong source, a real drop mislabeled "stable," no way to trace where a number came from, and no long-term trend view I gave that feedback in a 9-minute recording and an agent picked up my feedback and fixed it the same day, and it shipped to everyone at Seer.

Brands are measuring AI visibility without tracking if the perception of their brand is even accurate We recommend building a brand canon, which tracks facts, differentiators, brand claims, what your brand wants to be known for, and what you don’t Once you’ve created your canon, you can use it to compare what you want AI to say about your brand versus what it actually says (and fix the output by tracing claims to their source) Learn how to build your own brand canon, how to measure the...

You’ve probably noindex-ed pages you don’t want showing up in search. It’s a solid practice for product variants or paid destination pages, and it works for Google rankings. But AI crawlers don’t care about noindex tags, and as of yet there is no corresponding version of noindex for LLMs. robots.txt is an option, but our own research shows mixed results. So what does that mean for the pages you thought were hidden from AI?

There were many expected causes of SEO’s death discussed in 2023. One hypothesis that has been top of mind for me is the implication of Generative AI on the quality of traditional search engine results due to the quantity of content that websites will be able to produce. The evolution of tools like GPT-4 and Jasper AI empower users to create content at an unprecedented rate. This can be used both responsibly and irresponsibly.