Understand where AI search is going next

If you are a marketing lead who has ever been handed a visibility report with a flattering number on it and no way to check whether the number was real, this post is the opposite exercise. We ran our own category as a measurement program on August 25. IQRush appeared in zero of 250 answers and…

For twenty years, rank was the currency of search visibility. A page sat in position 3 or position 7, and everyone understood the difference. For a given query, location, and device, the results page was deterministic. Brands tracked their positions week to week, measured their SEO work in…

If you are a marketing director or agency lead shortlisting AI visibility vendors this quarter, you have almost certainly read a “best AI visibility tools” roundup in the last month. We pulled four of the most visible roundups in the category. In every single one, the publisher ranked itself first.

If you are a marketing director or analytics lead who has ever put the same brand into two AI visibility tools and gotten two numbers that could not both be true, this post is the test you run before you pick one. It takes an afternoon, it does not need a data scientist, and it tells you which…

When a dashboard reports that a brand earned 17.3% of AI citations last month, we tend to take it at face value. The number is precise to a tenth of a percent. It came from software. It must be right.

If you are a marketing director or media planner deciding where next year’s content budget goes, you have probably seen a headline this year telling you YouTube is now the most-cited source in AI answers. You may also have seen one saying it is a rounding error. Both were published in 2026. Both…

If you are an operating partner and one of your portfolio companies has just put an AI visibility tool in next year’s budget, you are about to approve a line item in a category where more than 20 vendors sell measurement on more than 20 different methods, and where the trade body that reviewed…

Ask a marketing team how visible their brand is in AI search, and you'll usually get a single number. Sometimes it's called a visibility score. Sometimes it's share of voice. Either way, it's meant to capture how often ChatGPT, Gemini, or Perplexity brings up the brand.

The IAB’s August 3 guidance sorts AI visibility data into three tiers: exploratory, directional, and decision grade. Only the third is fit to move budget. Here is the 12-question scorecard that places your own vendor in about twenty minutes.

Press release: The IAB released "Measuring Visibility in the AI Era" on August 3, 2026, giving brands, agencies, and publishers a shared decision-grade standard for AI measurement. IQRush contributed to the framework as a member of the IAB AI Visibility working team.

The IAB published "Measuring Visibility in the AI Era" on August 3. For the first time, AI visibility measurement has a shared vocabulary, a metrics hierarchy (the 4 P's), and a named line between decision-grade and directional data.

Prompt volume promises to do keyword volume's job for answer engines, but with an extra modeling step and no first-party check. A close read of what AthenaHQ's 95%+ accuracy claim does and doesn't disclose.

Data from 147,934 AI search queries across 256 brand tracking projects shows Gemini and Perplexity cite YouTube almost every time they answer a query. Here is what that means for brands that do not run a YouTube channel.

AI visibility scores move because answer engines are stochastic. Here’s how to tell when a ranking is stable, the gaps are real, and the number is solid enough to act on.

Ron Sielinski introduces a sequential convergence framework for deciding when AI visibility rankings are stable and structurally sufficient for competitive analysis.

70% of brand appearances in AI search answers vanish on the next query run. Most visibility metrics in the category aren't built to account for it.

Over the past year, a new generation of answer engines, SearchGPT, Perplexity, Claude.ai, and others, has begun reshaping how people discover information.

Profound’s Ramp case study has a headline every marketer wants to put in a deck. It's worth a second look.

Profound’s Black Friday Index ranks brands by AI visibility score across shopping categories. And that's a problem.

One brand. Two measurements. And why that matters for the future of search.

A before-and-after number on that kind of system carries a burden of proof.

For a content lead managing a limited production budget, the quarterly review changes shape when the team has a pre-publication signal.

Hint: Most dashboards flatten noise and citation into a single number. 

Every AI visibility vendor in 2026 faces the same problem: the engines they measure don’t return the same answer twice.

There’s a useful line buried in a Peec AI blog post from earlier this year. Ethan Smith, CEO of Graphite, contributing expert commentary to a piece on AI search measurement, writes: “10 is enough for a quick estimate for entity comparison prompts.”

IQRush is a Representative Vendor in the 2026 Gartner Market Guide for Answer Engine Visibility Tools, the new category for measuring brand visibility in AI search.