As you learn this, an AI engine is describing your model to a purchaser you’ll most likely by no means meet.
It’s occurring in a dialog you can not see. And the AI engine is deciding whether or not you make the client’s shortlist. Have you learnt what it is saying?
G2’s Reply Economic system report, based mostly on a survey of B2B software program consumers, discovered that 51% of B2B software program consumers now begin their analysis with an AI chatbot extra usually than with Google, up from 29% a 12 months earlier. In the identical examine, 69% selected a distinct vendor than they’d initially deliberate based mostly on what the AI software informed them.
The shortlist is not one thing consumers assemble by studying your website. It’s one thing an AI fingers them, absolutely fashioned, earlier than you get a vote.
Right here is the half that worries demand gen leaders: The channel that now decides a significant chunk of consideration produces no periods, no clicks, and no line within the report you open each Monday.
So most groups assume silence means security. It does not. It means you possibly can be dropping offers in a room you might have by no means walked into.
This text shares 10 checks you can rating and run this week. Rating your self after which scroll right down to be taught extra about every merchandise on the guidelines, plus ideas for the best way to enhance!
AI search audit for model visibility: 10 checks
1. Have you ever run your individual shopping for prompts and skim who exhibits up?
Open ChatGPT, Perplexity, Gemini, and Google’s AI Mode.
Kind what your consumers kind: “finest [your category] for mid-market,” “[competitor] options,” “[you] vs [competitor].”
Then learn the reply like a purchaser, not a marketer.
Do you present up? First, or buried after three rivals? Is the outline correct, or does it ship outdated positioning?
That is the closest you will get to watching a shortlist type in actual time. As many as 41% of consumers use AI chatbots to weigh vendor strengths and weaknesses, as per G2’s analysis.
Maintain this in thoughts, although: The identical immediate yields totally different distributors on totally different days. SparkToro, for instance, has documented actual volatility in AI suggestions. Do not rejoice one good reply or panic at one unhealthy one. Run every immediate a number of instances throughout a number of days and skim the sample.
Ask your self and rating:
Have you ever run a structured set of shopping for prompts throughout at the least three engines and scored the outcomes?
2. Are you measuring AI visibility as a separate metric?
“Natural site visitors” on Google Analytics isn’t the one metric of brand name visibility.
AI crawlers, the bots from OpenAI, Anthropic, Google, and Perplexity that learn the online to construct solutions, generate monumental exercise that produces no session, no click on, and infrequently no referral in any respect.
AI visibility is a definite self-discipline with its personal vocabulary: reply engine optimization (AEO), measured by way of point out charge, quotation charge, and share of voice.
That is now core infrastructure to AI search visibility. G2 has partnered with Profound to provide software program distributors precisely this type of AEO measurement. If you cannot produce a quotation charge or share-of-voice quantity on your model, you are not measuring the channel that is deciding your pipeline.
Ask your self and rating:
Do you observe AI point out charge, quotation charge, or share of voice as separate from natural search?
3. Have you ever confronted the crawl-to-click hole?
This is the mindset shift that issues most. AI engines crawl your class’s content material continually, then resolve the client’s query contained in the chat, the place you’ll be able to’t see it.
The studying is very large, whereas the click-through is a trickle. AI engines crawl websites orders of magnitude extra usually than they ship a single customer again.
It is a model of what analysts name the “nice decoupling”. This implies impressions rise whereas clicks fall. Google exhibits the identical form. SparkToro’s 2026 examine discovered 68% of US searches now finish and not using a click on, and AI Overviews (which seem on roughly half of searches by some measures) minimize click-through by about 60% when current.
So in case your definition of success remains to be “periods,” you are monitoring a quantity which will shrink, whereas your actual affect could also be rising. The offers nonetheless occur. You simply cannot see the invention anymore.
As G2’s Chief Innovation Officer, Tim Sanders, put it: “The Yellow Pages compressed the market into the massive guide. Google compressed it into the primary web page of outcomes. Now, AI chatbots are compressing it right into a single reply.”
Ask your self and rating:
Do you transcend site visitors quantity as a main metric and acknowledge the crawl-to-click hole?
4. Are you auditing each main engine, or simply ChatGPT?
Engines construct solutions from totally different sources and disagree continually. One evaluation of 680 million citations discovered that Reddit made up about 47% of Perplexity’s high citations, however solely about 11% of ChatGPT’s. A separate examine discovered that solely 11% of domains are cited by each ChatGPT and Perplexity.
You will be the assured first choose in ChatGPT and absent from Perplexity. ChatGPT remains to be dominant for B2B software program analysis at 63%, however the subject (Gemini, Perplexity, Copilot, AI Overviews, AI Mode, Grok) is fragmenting quick, and conversion differs by platform. A single-engine audit provides solely a partial image.
Ask your self and rating:
Does your audit cowl at the least 4 distinct engines, with outcomes tracked individually for every?
5. Can AI engines really learn your website?
You’ll be able to have the most effective product web page on the web, and if the crawler cannot parse it, you do not exist within the reply.
Three checks:
- First, are you being crawled in any respect? AI-traffic analytics present which bots hit your area, and if OpenAI’s or Anthropic’s crawlers aren’t reaching your key pages, nothing downstream works.
- Second, is your content material constructed for machine extraction? AI methods favor question-based headings, solutions up entrance, concise paragraphs, comparability tables, and schema markup.
- Third, is it present? AI methods present a measurable freshness bias, so stale pricing and legacy screenshots weaken your quotation suitability.
The check: View a key web page to the textual content a crawler sees and ask whether or not a machine might extract a clear, correct, and self-contained reply.
Ask your self and rating:
Do AI crawlers attain your key pages, and are they structured for machine extraction?
6. Is your story constant all over the place AI is studying?
AI fashions be taught what you do by reconciling all the things written about you into one synthesis. When your sources contradict one another, the mannequin picks one (possibly the fallacious one) or hedges, and a hedge will not be a advice.
Your private home web page, your G2 profile, your LinkedIn, your docs, your pricing, third-party listicles, and neighborhood threads all feed the identical reply. In case your website says “AI-powered income platform” whereas your class itemizing and outdated posts say “gross sales engagement software,” you’ve got handed the mannequin a selection and misplaced management of your positioning.
As Andy Crestodina of Orbit Media Studios argues, “Entrepreneurs have a brand new job: Prepare the AI to know all the important thing features of our manufacturers.” Taglines do not prepare the AI; constant, structured fact does.
Your personal website is simply a few quarter of the quotation equation, and the most-cited single area on any platform hardly ever tops 5%. AI solutions are assembled from an extended tail of sources, so consistency throughout many locations beats perfection in a single.
Ask your self and rating:
Have you ever audited your model description for consistency throughout your website, assessment platforms, social, docs, and main third-party sources?
7. Have you learnt your share of voice within the sources AI cites, particularly opinions?
Since roughly three-quarters of your citations come from locations that are not your web site, the true query is: Do I present up the place the AI is wanting?
For B2B software program, two supply sorts dominate: peer assessment platforms and neighborhood dialogue.
On opinions, the proof is particular. Impartial AI-visibility analysis has repeatedly discovered G2 the most-cited software program assessment platform. Radix’s evaluation of 10,000+ AI searches discovered that G2 carried 22.4% affect on software program queries, the very best of any supply.
The reason being this: AI fashions face a verification downside and wish scalable, reliable, machine-readable high quality alerts. Platforms combining verified consumers and regular assessment velocity provide that.
As for neighborhood, the image is advanced. Reddit is constantly among the many most-cited domains, which implies in lots of classes, your product will get characterised by nameless, upvote-driven threads.
The audit step: Discover out which third-party and neighborhood sources the engines really pull from in your class, and whether or not your model seems in them in any respect.
Ask your self and rating:
Have you learnt your share of voice within the assessment platforms and neighborhood sources AI engines cite on your class?
8. Are you treating opinions as an AI-visibility enter?
We analyzed 30,000 AI citations and share-of-voice information throughout 500 classes and located a small however statistically dependable hyperlink between assessment quantity and citations: classes holding 10% extra opinions noticed roughly 2% extra citations. So quantity genuinely issues.
However the identical examine is evident that opinions clarify lower than 2% of the variance in citations. The remaining is model authority, content material high quality, coaching information, and cross-web mentions.
So it is not amount or high quality. It is place, which means the place you sit relative to opponents. Holding 200 opinions in a 500-review class could be very totally different from 200 in a 5,000-review class. And high quality is what makes quantity sturdy, as a result of the present exercise from verified consumers is among the particular alerts that makes a supply reliable to a mannequin.
Velocity is most seen in new classes. For instance, G2’s AI Hub attracts on 48,000+ verified AI software program opinions submitted between Might 2025 and April 2026 throughout 85 AI classes, a lot of which barely existed a 12 months earlier. In a class forming that quick, your relative assessment place can transfer in a single quarter. This cuts each methods: It is a gap in the event you act and a legal responsibility in the event you do not.
Ask your self and rating:
Do you actively generate verified, current opinions as a deliberate AI-visibility enter?
9. Are you monitoring sentiment and accuracy?
A solution that names you whereas repeating an outdated weak spot or pinning a competitor’s flaw on you are able to do extra hurt than being overlooked. And since solutions are downstream of your sources, that sentiment displays your opinions, threads, and press.
Most groups that verify AI visibility cease at presence. They ask: Am I in, sure or no?
However that is half the audit.
The opposite half is about studying the adjectives. Is the language constructive, impartial, or unfavourable? How does it examine to rivals in the identical reply? Is your pricing present, your class proper, and your functionality represented?
AI offers consumers the imply synthesized impression of your product, which can lag nicely behind the place it really is at present.
Ask your self and rating:
Do you monitor the sentiment and factual accuracy of how AI engines describe your model, benchmarked in opposition to opponents?
10. Do you might have an AI search proprietor, a baseline, and a assessment cadence?
The final verify is organizational, and it decides whether or not the opposite 9 ever get fastened. AI-led discovery cuts throughout website positioning, content material, PR, product advertising, opinions, and neighborhood. As a result of it touches all the things, it tends to belong to nobody in most groups.
Contemplate these questions:
- Is there a single accountable proprietor whose job is to know how AI shapes the invention of your model and orchestrate the response?
- Do you might have a baseline, a documented snapshot of your present visibility, share of voice, sentiment, and accuracy to measure change in opposition to?
- Do you might have a assessment cadence, a daily assessment the place these numbers get examined, like pipeline or spend?
Ask your self and rating:
Do you might have a named proprietor, a documented baseline, and a recurring cadence for AI visibility?
The best way to learn your rating
Add up your ten solutions.
- 0–6 factors: Invisible. You are successfully absent from the channel forming your consumers’ shortlists. Begin measuring this week, as a result of you’ll be able to’t handle what you’ve got by no means checked out.
- 7–13 factors: Conscious however uncovered. You’ve got seen the issue, however your visibility is partial, and your story might be inconsistent throughout the sources AI reads. You are dropping winnable offers in solutions you by no means see.
- 14–17 factors: Instrumented. You measure AI visibility as its personal self-discipline, throughout engines, and know roughly the place you stand. The work now’s consistency, share of voice, and turning measurement into enchancment.
- 18–20 factors: Referenceable. You observe presence, place, sentiment, and accuracy throughout engines, with an proprietor and a cadence. You’ve got made the shift from chasing rankings to being the model AI engines belief sufficient to advocate. Maintain defending it.
The excellent news? None of those ten gaps want extra finances. They only want an proprietor who treats AI visibility as a quantity to maneuver.
So take your lowest-scoring verify and begin there this week, earlier than the immediate quantity in your class doubles once more and the hole compounds. The reply engine is describing you to a purchaser proper now, and indifference simply fingers the narrative to whoever confirmed up. You now know precisely the place you are dropping. The subsequent step is to take accountability and bridge the gaps.
AI brokers are reworking into infrastructure from standalone apps. Learn the way the class is evolving and the way consumers are deciding on AI brokers in this text.
