GEO/AEO Audits

Our Audit Philosophy

We treat GEO findings as directional. Generative platforms change their answers from day to day and from user to user, so we test enough prompts across enough platforms to spot real patterns instead of chasing one-off screenshots. We draw a hard line between visibility, perception, and citation, because those are three different problems with three different fixes. Some clients want the executive summary and a roadmap, while others want to dissect line items with us. So we built for both.

Prompt Universe Mapping

Most GEO audits start by testing generic prompts, but we develop a rich set of prompts that go deeper than most. We map every prompt to your service lines, business priorities, journey stage (awareness, consideration, decision), and geography (local, regional, national, no-geo). The output is a defined prompt set we can score against and re-test month over month. One-off ChatGPT screenshots don’t give you that.

AI Prompt Visibility Audit

We run the prompt universe across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews and track four things for each prompt: whether you’re mentioned, where you rank in the answer when you are, the sentiment of your mentions, and how consistent that visibility is across runs. We re-test repeatedly because LLM outputs vary. A brand that appears 1 out of 10 times has a different problem than one that appears 9 out of 10 times in fourth position. Both look like “we’re visible” on the surface, but the first is an authority and content problem, while the second is a positioning problem.

Competitive Share of Voice Analysis

Visibility without context is just noise. We compare your mention frequency to a named competitor set, sliced by geography, vertical, and/or service line. The result is a clear map of where you dominate, where you compete, and where the conversation is happening without you. We’ve seen brands score 60%+ share of voice in their home market and under 10% nationally. That’s a positioning problem, and more content won’t fix it.

Citations vs. Mentions Audit

This is where most audits stop short. Being named in an AI answer and being cited as the source are two different things, and the gap matters. A brand that gets mentioned often but rarely cited is being described using other people’s content, and a brand that gets cited often but rarely mentioned is doing the work without getting the credit. We calculate the mention-citation gap for you and your competitors and flag which side of the gap you’re on, because the fix is different in each case.

AI Brand Perception Audit

AI models already know things about your brand. The work is closing the gap between what they say about you and what you want them to say. We run your branded prompts (“Tell me about [Company Name]”) repeatedly, then catalog what AI tools consistently say, what they downplay, and where they get you wrong. The goal is finding the disconnect between your intended brand and your AI-rendered brand. The AI-rendered version is what your buyers are reading.

Google AI Overviews Audit

Google AI Overviews now appear on a growing share of search results, and the citation behavior inside them is its own discipline. We pull every keyword where AIO is triggering for your site, identify pages already earning citations, identify pages with high opportunity but low capture, and calculate your capture rate. From there, we prioritize the URLs where small content and structure changes can convert existing rankings into AIO citations. Almost every site we audit has AIO citation opportunities sitting unclaimed.

AI Source Presence & Accuracy

AI doesn’t just read your website; it cross-references Wikipedia, Wikidata, your Google Business Profile, industry directories, review platforms, map data, YouTube, and dozens of other third-party sources like Reddit. If those sources are wrong, outdated, or missing, AI will quietly repeat the errors. We audit every source AI tools tend to lean on for your industry, score each one on existence, claim status, accuracy, and AI citation frequency, and tell you which to fix first and which to leave alone.

Entity & Authority Signals

Authority signals determine which brands AI trusts and which it ignores, while entity signals tell AI exactly who you are and what you’re known for. We score yours across ten weighted factors, including Wikipedia and Wikidata presence, SameAs schema links, Knowledge Graph completeness, branded search strength, and more. The output is a single score plus a priority list of which signals are worth strengthening and which are already pulling their weight.

AI Technical Readiness

If AI bots can’t crawl your site, none of the rest of this matters. We check whether your robots.txt is blocking AI user agents (deliberately or by accident), whether your CDN is treating AI bots as threats, whether core content renders without heavy JavaScript reliance, whether your HTML structure is clean enough for an LLM to parse, and whether your heading hierarchy actually makes sense. Most sites pass the basics; the ones that fail tend to fail invisibly, which is the worst kind of failure.

Schema & Structured Data Audit

Structured data tells AI what kind of page it’s looking at and how the content relates to your broader organization. We audit your schema page-type by page-type, compare what’s implemented against what should be there, and provide recommended schema templates for each. For organizations with complex page taxonomies (locations, providers, products, services, conditions, treatments, articles, news), we map schema type and core fields to each template family so engineering has a real spec to work from instead of a vague request to add more schema.

Page Answerability Audit

A page can rank perfectly and still get skipped by AI if it’s not structured to be quoted. We score your priority pages on six factors: topic clarity, audience fit, coverage of the key answer components a user actually needs, next-step usefulness, trust and authority signals, and scannability. Each page gets an overall score, a list of main limitations, a recommended fix, and a flag for whether it’s a quick win or a heavier lift. The output is a prioritized punch list with clear owners and timelines.

90-Day GEO Roadmap

We end every audit with a sequenced plan. Every opportunity gets a quick-win recommendation, a 0-30 day action, a 30-60 day action, a 60-90 day action, and a clear owner (us, your team, or both). We also build in re-testing windows so you can measure whether the work actually moved the needle. This is the deliverable you can take to your CEO without first explaining what GEO means.

A Note on Measurement

GEO findings are directional. Generative platforms change their outputs over time and across users, so we focus on patterns and trends across multiple runs and platforms. The audit gives you a defensible, repeatable framework for understanding how AI tools see your brand, and a clear plan for changing the parts that need to change.
If you want to know what AI is saying about you, let’s talk.