Insights on AI Visibility
Guides, product updates, and research on how brands win in AI-powered search.
When Google Ranks You and AI Doesn't: Reading a Disagreement Between Two Systems
Ranked on page one in Google and cited by nobody in ChatGPT is not a contradiction, it's a diagnosis. Here's what each quadrant of the Search↔AI gap actually tells you to do, and the two places the data deliberately stops short of a finding.
What AEO Cannot Do
Every discipline needs someone to write down its limits before the marketing outruns them. You cannot buy a citation, edit a model, guarantee a position, or attribute revenue to a mention, and knowing that makes the parts that do work far more useful.
How to Audit an AI Visibility Vendor's Numbers
Every tool in this category will show you a confident dashboard. Nine questions separate the ones measuring something from the ones generating something, and we've answered all nine about ourselves at the end.
Selling AEO Without Overclaiming
The consultants who will still have AEO clients in two years are the ones scoping it honestly now. Here's how to price work whose results arrive slowly, what to promise, and how to report a quarter where the number didn't move.
Why Most AI Visibility Audits Never Change Anything
The audit finds forty problems, everyone agrees they're real, and six months later the visibility score hasn't moved. The failure isn't the analysis: it's that a findings list and a sequenced backlog are different artifacts. Fix what you control before chasing citations, and give every item an owner.
AI Slop Is an AEO Liability, Not a Shortcut
Generating a thousand pages to win at AI search inverts the mechanism it's trying to exploit. Content assembled from what engines already know is, by construction, the content they have no reason to cite.
When "Near Me" Meets an Answer Engine
Local search and local AI recommendations run on different machinery. The map pack reads a structured business listing; an assistant synthesises prose from review sites, local press and community threads, which is why a business can dominate one and be absent from the other. Includes what LocalBusiness schema still buys you.
Does Schema Markup Help AI Visibility? Separating the Two Claims
Structured data is either essential or irrelevant to AI answers depending on who you ask. Both camps are answering different questions: one about Google's surfaces, one about what a language model reads. Here's the split.
Search Console Is the Most Underrated AEO Dataset
It's free, it's first-party, and connecting it backfills real history: sixteen months of daily totals, a much shorter window of per-query rows, and four measurement traps that quietly corrupt the numbers people report from it. Here's how to read it without publishing a figure your CMO can disprove in the next tab.
One Brand, Seven Markets, Seven Different Answers
A global brand measuring AI visibility in one region is reporting a number about one market with a label implying all of them. Here's why answers diverge by market, what a region setting actually changes, and how enterprise governance usually gets this wrong.
Agentic Commerce: When the Buyer Is a Bot
An agent shortlisting products on someone's behalf can't read your hero image, won't be persuaded by your copy, and will silently drop you if your price feed is stale. What survives that filter is not what your brand team optimized for.
Same Prompt, Different Answer: How Many Runs Before You Trust the Number?
AI engines are non-deterministic, so a single scan is an anecdote with a decimal point. Here's roughly how many samples a mention rate needs before a change means anything, and why the honest answer is 'fewer than you'd like, more than you're running.'
Reporting AI Visibility to a CMO Who Didn't Ask For It
The measurement is the easy part. Getting a new metric onto an executive dashboard (and surviving the first challenge to it) is where AEO programmes are actually won or lost. Here's what belongs on the one slide, and what to leave off.
Brand Hallucinations Are an Operations Problem Before They're a Marketing One
When an engine invents a refund policy you don't offer, the cost lands on your support queue and your legal team, not your visibility score. Here's a severity model for triaging it, and an honest account of what can actually be corrected.
What PR Teams Get Wrong About AI Visibility
Coverage is not citation, and the gap between them is where PR measurement breaks down in AI search. A placement in a tier-one outlet can shape every answer about your brand, or none of them, and the metrics PR already reports cannot tell you which.
AI Search and the End of the Session Metric
Your traffic can fall while your influence grows, and no dashboard built on sessions will show you the difference. Here's what to report instead, and an honest account of how much of the gap is genuinely unmeasurable.
There Is No Keyword Volume for AI Prompts: Here's What to Use Instead
Nobody publishes what people type into ChatGPT, and no vendor has access to it either. Any 'prompt volume' figure you've been shown is a panel, a proxy or a guess. Here's how to choose and track a defensible prompt set without one, from Search Console queries, sales calls and competitor research.
Running AEO for Ten Clients at Once
Everything about answer-engine work that is manageable for one brand becomes a workflow problem at ten. Here's what actually generalises across an agency's client base, what stubbornly doesn't, and where the per-client cost really lands.
Your Server Logs Know Which AI Crawlers Visited. Most Teams Never Look.
Access logs are the only first-party evidence you have that AI systems are reading your site at all. Here's what they can prove, the verification step almost everyone skips, and the two questions logs genuinely cannot answer.
Update, Rewrite, or Delete? A Decision Rule for an Existing Content Library
Most AEO advice assumes you're publishing something new. Most content teams have four hundred pages already. Here's a two-question rule for auditing an existing library against citation data and Search Console demand, and why deleting is a real option rather than a failure.
Query Fan-Out: Why AI Mode Changes the Question You're Optimizing For
One user question becomes a dozen background searches you never see. That single mechanism explains why breadth of coverage now beats perfecting one page, and why your best-optimized asset can lose to a competitor's mediocre set of five.
AI Has Joined the B2B Buying Committee
In enterprise software the shortlist is now often assembled before anyone visits your site, by an assistant answering a question from someone who will never fill in a form. Here's which committee roles that displaces, and what it changes about the content you need.
Should You Block AI Crawlers? The Trade-Off Nobody Quantifies
Blocking GPTBot is not one decision: it's three, because training crawlers, search crawlers and user-triggered fetchers are different bots with different costs. Conflating them is how publishers accidentally removed themselves from AI answers.
E-E-A-T in the Age of Answer Engines: What Actually Transfers
E-E-A-T was never a ranking signal; it's a framework Google wrote for human raters evaluating its systems. Understanding that distinction is what separates the parts that carry over to AI answers from the parts that were always cargo cult.
Mentioned Is Not Recommended
Mention rate is the metric everyone starts with and the one that flatters you most. Being named last in a list of seven is not the same result as being the answer. Here's a five-bucket taxonomy that survives contact with real answers, what the shape of the distribution diagnoses, and where the product's own ordinal classification stops and your reading of the prose has to start.
The Founder's Version of AI Visibility
When your name is the company, two entities get built at once and they contaminate each other in both directions. Here's how founder and brand entity resolution couples, the schema markup that makes the link explicit, how to monitor which entity an engine is actually describing, and the specific ways the coupling goes wrong at scale.
Your Brand Is an Entity Before It's a Website
Before an engine can say anything true about you, it has to work out which 'you' is being discussed. Name collisions, schema markup and whether Wikipedia has heard of you decide that, and entity resolution is the precondition every other AEO tactic quietly depends on.
What SEO Teams Should Stop Doing First
Most AEO advice for SEO professionals is additive: here are more tactics. The subtractive list is more useful: which well-drilled habits carry over to answer engines, which do nothing, and which actively mislead. Covers rank tracking, keyword-led prioritisation, E-E-A-T audits, crawler access and schema.
Does llms.txt Actually Do Anything? An Evidence Check
A proposed standard with real adoption, genuine appeal, and, as of today, no major AI engine publicly confirming it consumes the file. Here's what it is, what the evidence supports, and a verdict on whether to publish one.
How We Measure AI Visibility
Our methodology in full: which engines we query, what counts as a citation, how grounding changes the meaning of a result, and the specific places we return 'we cannot tell you' rather than a plausible number.
A 90-Day AEO Roadmap for Teams Starting from Zero
If your brand is absent from AI answers and you don't know where to begin, this 90-day plan takes you from baseline audit to measurable visibility gains, one focused step at a time.
AEO Isn't a Channel: It's a Layer Over Every Channel
Teams keep trying to slot AI visibility next to SEO, social, and email as one more channel to manage. That framing misses what's actually happening: AI is becoming the layer through which people discover everything.
The AI Visibility Metrics That Actually Matter
Mention rate, citation rate, share of voice, share of model. AEO has its own vocabulary of metrics. Here's what each one measures, when to use it, and how they fit together.
Why 'Best X' Queries Are the New Homepage
The most valuable real estate in AI search isn't your homepage: it's the answer to 'best [your category].' Here's why category queries decide who wins, and how to compete for them.
Model Updates Are the New Algorithm Updates
SEO teams spent two decades reacting to Google algorithm updates. In the AI era, the equivalent shake-up is a new model release, and it can change how your brand is described overnight.
Original Research Is the Highest-ROI AEO Play
If you do one thing to earn AI citations, make it original data. Here's the mechanism behind why proprietary research travels further than any other content type, what the evidence actually supports, and how to produce it without a research team.
The Rebrand Problem: Why AI Still Calls You by Your Old Name
You changed your name, updated your site, and announced it everywhere. Months later, ChatGPT still uses the old name. Here's the mechanism behind that (knowledge cutoffs, entity fracture, name collisions) and the specific levers that actually move it.
Where AI Actually Looks: A Channel-by-Channel Guide to AI Visibility
AI engines don't read your website in a vacuum. They synthesize from Reddit, Wikipedia, YouTube, review sites, and the press. Here's how each source shapes whether your brand gets recommended, and how to tell the difference between knowing where AI looked and guessing.
Which AI Engines Should Your Brand Prioritize?
You can't optimize for every AI engine at once. ChatGPT, Gemini, Perplexity, Claude, Grok, Meta AI and DeepSeek reach different users and source answers differently. Here's how to decide where to focus, and why the honest answer involves less specialization than you'd expect.
Introducing Multi-Engine Visibility Scoring
We rebuilt our scoring engine from scratch to give you a single, unified visibility score that reflects your brand's presence across ChatGPT, Claude, Gemini, Perplexity, and more.
What Is AEO? A Plain-English Guide to Answer Engine Optimization
Answer Engine Optimization is the practice of becoming the answer AI systems give when users ask questions. Here's what that means in practice, what the evidence supports, and what to do in your first week.
The Complete Guide to Optimizing Your Content for ChatGPT
ChatGPT has become a real channel for brand discovery, and it works nothing like a search engine. This guide breaks down the two mechanisms behind what it says about you, and how to structure content for each.
New: Competitor Benchmarking Is Now on Every Plan
Competitor tracking is no longer gated by tier. Seeing who the engines name alongside you falls out of the scan you already ran. Here's what that gets you free, what a head-to-head benchmark costs in credits, and how to read both.
Why We Built LLM Metrix
AI is becoming a primary channel for brand discovery, and most marketing teams have no idea how they show up there. Here's the problem we set out to solve, the design decisions that fell out of it, and what we deliberately refuse to claim.
New: Per-Scan Email Alerts for AI Visibility Changes
An email on the scans that matter and, just as deliberately, silence on the ones that don't. Here's what triggers a notification, what never will, and why restraint is the harder half of alerting design.
How Claude and ChatGPT Represent Brands Differently
The differences that matter aren't personality traits; they're mechanisms. Whether an answer came from model weights or a live web search changes what you can influence, and how fast.
The Citation Authority Playbook: How to Get AI to Cite Your Brand
Being cited by AI engines isn't luck. It's the result of a deliberate content strategy. This playbook covers structured data, authority signals, and the distribution tactics that actually work.
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