Most manufacturers chasing AI visibility focus solely on content material quantity and technical fixes. These matter. However they are not why AI recommends your competitor over you.
Right here’s what you want to remember: AI search engines like google and yahoo do not rank pages within the conventional sense.
They construct a mannequin of your model from the alerts they discover throughout the net. Then they resolve whether or not to suggest you based mostly on elements like how clearly and confidently they will describe what you do, who you do it for, and the way related you might be to the particular question.
That makes constant, related model positioning one of many key variables in AI search visibility. And we’re not speaking sufficient about it.
How AI evaluates your model
AI programs construct a probabilistic understanding of your model based mostly on patterns throughout every little thing they have been skilled on or can retrieve: your website, press protection, evaluations, companion mentions, social content material, and discussion board discussions.
All of it will get folded right into a single implicit judgment about what your model is, what it is recognized for, and whether or not it is credible in a given context.
If AI associates a particular notion together with your model, it won’t floor you even for a seemingly related question. For instance, I requested ChatGPT to checklist the very best WordPress internet hosting suppliers for small companies, however it did not point out the obvious selection — WordPress.com.
This could possibly be for just a few causes, together with how ChatGPT interprets “WordPress internet hosting.” However it’s value asking whether or not a hidden notion can also be shaping how AI represents the model.
Constant, corroborated claims throughout a number of authoritative sources construct a stronger model and assist AI brokers make the very best suggestions attainable.
To contextualize this, our crew at Semrush just lately developed a search visibility framework that organizes the model alerts AI programs use to guage a model into 4 actionable layers: Discoverability, Readability, Authority, and Belief.
Every layer solutions a query AI is implicitly asking about your model. Can it discover you? Does it perceive you accurately? Does it take into account you certified? Does it belief you adequate to suggest you?
Successful at every of those layers requires getting your positioning proper first.
Find out how to learn how AI perceives your model
Step one is straightforward: Discover out what AI thinks about your model proper now and whether or not it recommends you the place it issues most.
You can begin manually. Open AI platforms like ChatGPT, Perplexity, and Gemini run a structured set of prompts throughout three classes:
- For direct model understanding: “What’s [Your Brand]?”; “What does [Your Brand] do?”; “What’s [Your Brand]’s predominant worth proposition?”
- For class context: “How do I [problem your product solves]?”; “What’s one of the best ways to [outcome your product enables]?”; “What instruments or processes do [your target audience] use to [job to be done]?”; “Who ought to I comply with or belief for recommendation on [your core topic]?”
- For aggressive positioning: “[Your Brand] vs [Competitor A]”; “Options to [Your Brand]”; “How is [Your Brand] completely different from [Competitor A]?”
That mentioned, AI solutions usually are not static. They’re customized, they shift as content material adjustments, and two folks asking the identical query will not all the time get the identical response. A guide test provides you a directional snapshot at finest.
To trace how your model is being perceived over time, it is advisable to go deeper. This may be completed with Semrush’s AI Visibility Toolkit. The workflow appears like this:
1. Begin with the Model Efficiency report to get a high-level image: your AI Share of Voice in comparison with opponents and your AI sentiment rating.
For WordPress.com, the Model Efficiency report clearly exhibits it is the class chief. Nevertheless, its favorable sentiment is just 60%, suggesting there are nonetheless some probably problematic perceptions that AI associates with the model. In consequence, whereas AI acknowledges WordPress.com, it could not all the time suggest it due to these perceptions.
You may as well have a look at particular cross-brand elements that affect progress, comparable to worth, belief, and entry. Use them to benchmark efficiency and resolve the place to focus your efforts.
2. Subsequent, transfer to the Notion report to know the specifics: what AI persistently praises about you, what it flags as a weak point, and the way that breaks down by characteristic class.
Wanting on the report, we will clearly see the optimistic perceptions AI programs attribute to WordPress: ecommerce options and a managed efficiency stack that scales, flexibility, and ease of use. These strengths must be highlighted throughout the corporate’s property.
On the identical time, there are destructive perceptions, and a few of them are literally outdated. For instance, ChatGPT thinks that plugins are solely accessible on higher-tier plans, despite the fact that that has just lately modified. The Notion report additionally highlights numerous limitations for each newbie and superior customers.
All of those assumptions that AI makes a couple of model come from a number of sources throughout the net. They seem to be a direct reflection of the hole between how the model positions itself and the way the broader net, and due to this fact AI, has come to know it.
To shut that hole, WordPress first must outline the place it desires to focus: which perceptions to right, which strengths to double down on, and which audiences to prioritize. From there, it could replace current content material on its web site, create new content material that addresses the gaps, and push the suitable narrative on exterior platforms like Reddit and evaluate websites.
3. Lastly, go to the Narrative Drivers report to see the high-intent queries that includes your model and the exterior sources AI is pulling from, so you recognize which sources to focus on and which queries to construct content material round.
Find out how to handle model positioning and perceptions in AI search
Controlling and managing model perceptions is a three-part course of: clearly outline your model positioning, make it seen by yourself website, then reinforce it externally.
Step 1: Do your model positioning homework first
As stunning because it might sound, many manufacturers do not have a clearly outlined positioning. Some are attempting to serve everybody, leaping from one angle to a different, or are in the midst of a transition.
That ambiguity exhibits up instantly in how AI describes and recommends you.
Earlier than doing any content material work, get this down first:
- Who you serve: The precise viewers or purchaser persona you are focusing on
- What you do for them: The core consequence or downside you clear up
- Why you are credible: The proof factors, credentials, and differentiators that again it up
Then examine that towards what the AI audit utilizing the Model Performance and Notion experiences revealed. For every positioning attribute that issues to your patrons, ask: Does AI know this about us? Does it say it persistently? Does it say it favorably?
Let’s have a look at some examples from Semrush case research.
For rtCamp — a WordPress design company — the positioning was clear internally. They serve enterprise patrons who weigh safety and compliance closely. The credentials existed: SOC 2 Kind II, ISO 27001, and FedRAMP authorization by WordPress VIP. Nevertheless, AI instruments weren’t highlighting safety sufficient in comparison with different options.
For WorkLounge, a coworking house, the mismatch was even deeper. The Perceptions report revealed that AI programs describe the house as loud, with 9-to-5 entry solely and no quiet zones. All of that is inaccurate.
The model’s precise strengths — 24/7 member entry, devoted quiet zones, and versatile workspace choices — merely weren’t documented anyplace AI may discover them.
In each circumstances, the content material downside was a positioning readability downside first.
Step 2: Audit your website content material and replace it to shut notion gaps
From right here, audit your current website content material to test whether or not your positioning is seen and constant, then tackle the notion gaps you recognized in step 1.
Undergo your highest-traffic and highest-intent pages and ask: Does this web page clearly talk who we serve, what we do, and why we’re credible? Particularly:
- Are credentials, certifications, and belief alerts in crawlable web page content material?
- Do service and product pages persistently mirror your present positioning?
- Are pages structured so AI can extract data cleanly: clear headers, FAQ sections, direct solutions up entrance?
- Are the optimistic and destructive perceptions recognized throughout analysis correctly and visibly addressed?
- Do all owned channels inform the identical story?
Then, replace your website content material to make sure consistency, create lacking pages, and provides AI brokers the knowledge they should perceive and suggest your model
Step 3: Reinforce your positioning by exterior channels
As soon as your website displays your positioning precisely, push the identical narrative throughout the exterior sources that form how AI programs perceive your model.
The channels that matter will rely in your {industry}, however some generally essential ones embrace:
- Overview platforms: G2, Clutch, Trustpilot, and any industry-specific evaluate websites. Third-party validation is a belief sign for each AI fashions and human patrons.
- Press and {industry} protection: Get your key positioning attributes into the tales journalists write about you. If safety and compliance matter to your patrons, these phrases want to look in exterior protection.
- Partnerships and ecosystem mentions: Being related to credible manufacturers strengthens your individual credibility sign. Make these relationships seen and ensure companions reference you precisely.
- Social and group platforms: LinkedIn, Reddit, and {industry} boards all feed into AI’s image of your model. Constant messaging throughout these platforms reinforces what your website already says.
Positioning is the brand new visibility issue
For many of search engine optimisation’s historical past, model positioning sat exterior the self-discipline. It was typically the model or advertising and marketing crew’s job, not the content material crew’s.
AI search has blurred that line.
The identical mannequin that determines whether or not to quote your weblog submit can also be deciding whether or not your organization sounds reliable sufficient to suggest.
The outcomes, nevertheless, are definitely worth the effort:
- rtCamp’s general favorable sentiment moved from 73% to 100% in a month, with their particular safety and compliance sentiment climbing to 100%, and natural kind fills up 117%.
- WorkLounge’s sentiment rating went from 67 to 82 over 5 months, AI Overview visibility practically doubled from 17% to 34%, and visitors from ChatGPT grew virtually 20x.
The Model Efficiency report in Semrush’s AI Visibility Toolkit helps you keep on high of this. Monitor AI sentiment and perceptions towards your opponents and spot strategic alternatives as they shift. For those who’re questioning what makes AI select alternate options over you, that is the place to start out.
