The conversation around AI and search has reached a fever pitch. Marketing teams everywhere are scrambling to figure out how to show up in ChatGPT, Perplexity, and Google AI Overviews. Consultants are pitching new services. Agencies are adding AI SEO packages to their offerings. Everyone seems to have an opinion on what you should be doing.
The problem is that most of this advice is completely wrong.
What passes for an AI SEO strategy in most conversations amounts to a collection of random tactics that sound innovative but lack any evidence of actually working. Companies are wasting time and money chasing unproven approaches while ignoring the fundamentals that actually drive visibility in AI search results.
If you want to understand what really works for getting your brand mentioned by AI tools, you need to start by understanding what these tools actually do and how they decide what to recommend.
How AI Search Actually Works
Large language models like ChatGPT and Perplexity do not have a secret database of companies they recommend. They do not maintain lists of preferred vendors or approved solutions. When someone asks these tools for recommendations, the AI synthesizes information from sources it has been trained on and content it can access through web searches.
This is the crucial insight that most AI SEO advice completely misses. AI visibility is fundamentally driven by the same thing that has always driven search visibility. Quality content that ranks well and clearly communicates what you do, who you serve, and why you are different.
When someone asks ChatGPT for the best project management software for remote teams, the AI is not consulting some mysterious algorithm optimized by adding FAQ schema to your website. It is drawing on content it has seen that discusses project management tools, comparing features and use cases, and synthesizing recommendations based on that information.
The companies showing up in these recommendations are the ones with content that clearly explains their positioning, backs up claims with evidence, and ranks well enough in traditional search to be part of the information pool AI tools draw from.
The Tactics That Do Not Actually Work
Before discussing what does work, it helps to clear away the clutter of popular but ineffective tactics that dominate AI SEO conversations.
Adding llms.txt files to your website has become a trendy recommendation. The idea is that this file tells AI crawlers about your site, the way robots.txt guides traditional search crawlers. The problem is that there is no evidence that this actually influences AI recommendations in any meaningful way. It is a solution looking for a problem.
Rewriting all your headings as questions represents another popular tactic. The theory suggests that AI tools prefer question-and-answer formats. In practice, this makes content awkward to read while providing no demonstrated benefit for AI visibility.
Creating FAQ sections on every page follows similar logic and produces similar results. Lots of effort, no measurable impact.
Running marketing campaigns on Reddit has been pitched as an AI SEO strategy because some AI tools reportedly weigh Reddit content heavily. Even if true, gaming Reddit is difficult, often backfires, and distracts from building genuine authority through your own content.
Schema markup specifically for AI engines sounds technical and sophisticated. It is also largely unproven and adds complexity without clear returns.
The common thread is that these tactics feel like doing something while avoiding the harder work of creating genuinely valuable content that serves real customer needs.
What Actually Drives AI Visibility
If you want to develop an AI SEO strategy that actually works, you need to focus on the fundamentals that influence how AI tools understand and recommend businesses.
First and most importantly, you need content that ranks well in traditional search. AI tools perform web searches as part of generating responses. Content that ranks on the first page for relevant queries becomes source material for AI recommendations. Content that does not rank well simply is not part of the information pool these tools draw from.
This means traditional SEO still matters enormously. Technical optimization, quality backlinks, and well-structured content remain foundational. AI SEO is not a replacement for traditional SEO but an extension of it.
Second, you need content that clearly communicates your positioning. AI tools are remarkably good at understanding what companies do when that information is clearly stated. They struggle when positioning is vague, generic, or buried under marketing fluff.
Look at your homepage and key landing pages. Does someone reading them understand exactly who you serve, what problems you solve, and why your approach differs from alternatives? If a human cannot quickly grasp your positioning, an AI tool certainly will not be able to either.
Third, you need content that covers the specific topics and questions that arise when potential customers are evaluating solutions like yours. This means going beyond top-of-funnel educational content to create bottom-of-funnel content that helps buyers make decisions.
Why Bottom-of-Funnel Content Matters More Than Ever
The shift toward AI search has made bottom-of-funnel content more important than ever before. Here is why.
When someone searches a top-of-funnel query like “what is content marketing” in ChatGPT or Google AI mode, they get a direct answer. There is no reason for the AI to mention specific companies because the user is seeking information, not solutions. Even if your educational content contributed to the AI’s understanding, you do not get credit or visibility.
But when someone searches a bottom-of-funnel query like “best content marketing agencies for B2B SaaS companies,” the AI needs to actually recommend specific businesses. This is where visibility happens. The AI synthesizes information from ranking content to generate recommendations that include company names, descriptions, and differentiators.
Content targeting these decision-stage queries serves double duty. It ranks in traditional search, driving direct traffic from people actively looking to buy. It also becomes source material for AI recommendations, driving visibility when prospects use AI tools for research.
Top-of-funnel content, meanwhile, now provides the worst of both worlds. AI tools answer these queries directly, reducing traffic to your site. And even when your content contributes to AI responses, you get no brand visibility because the AI has no reason to mention you.
Creating Content That AI Tools Can Actually Use
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Once you understand that AI visibility flows from ranking content that clearly communicates your positioning, the tactical implications become clear.
Every piece of content should explicitly state who you are, what you do, and who you serve. Do not assume AI tools will figure this out from context. Make your positioning unmistakably clear.
Include specific details about your approach, methodology, and differentiators. Generic descriptions that could apply to any competitor in your space give AI tools nothing distinctive to mention. Specific details about how you work, what makes your approach different, and what results you deliver give AI tools reasons to recommend you for particular use cases.
Back up claims with evidence. Case studies, customer results, specific metrics, and concrete examples give AI tools confidence in recommending you. Vague claims about being the best or most innovative carry no weight.
Create content that directly addresses the questions and comparisons that arise during buying processes. Best X for Y use case, alternatives to competitor Z, comparisons between different approaches. These are the queries where AI tools need to recommend specific companies.
Structure content for clarity. Headers that accurately describe section content, logical organization, and clear writing all help AI tools understand and accurately represent your positioning.
Measuring What You Cannot Perfectly Track
One challenge with AI SEO is that attribution is messy. You cannot easily track exactly how many leads came from ChatGPT mentions, versus Google searches, versus direct visits from people who heard about you through AI recommendations.
Accept this reality rather than fighting it. The goal is to look at overall organic performance trends rather than trying to attribute every conversion to a specific source.
If your rankings are improving, your traffic is growing, your AI visibility is increasing when you spot-check relevant queries, and your overall conversions from organic sources are trending up, your strategy is working. The exact breakdown between traditional search and AI search matters less than the aggregate trajectory.
You can supplement imperfect tracking by asking prospects directly how they found you. Many will mention ChatGPT or AI search if that played a role in their discovery process.
The Companies Winning at AI Search Right Now
The brands succeeding with AI visibility share common characteristics worth noting.
They have been creating high-quality, specific content for years. They did not suddenly start optimizing for AI. They built content foundations that AI tools now draw from.
Their positioning is crystal clear. They know exactly who they serve and communicate that positioning consistently across all content.
They focus on bottom-of-funnel content that serves buyers rather than chasing traffic through top-of-funnel educational content.
They continue investing in traditional SEO because they understand that AI visibility flows from search rankings.
They are not distracted by trendy tactics that lack evidence. They focus on fundamentals rather than gimmicks.
Getting Started Without Getting Distracted
If you want to improve your AI visibility, resist the urge to chase every new tactic that appears in your LinkedIn feed. Instead, focus on the work that actually matters.
Audit your existing content for clear positioning. Does your content explicitly state who you are, what you do, and why you are different? Revise anything that relies on readers to figure this out for themselves.
Identify bottom-of-funnel keywords where your prospects are making buying decisions. Create content that directly addresses these queries with specific, substantive information.
Continue building authority through traditional SEO practices. Quality content, relevant backlinks, and technical optimization still matter enormously.
Track your visibility over time by periodically checking how AI tools respond to queries relevant to your business. Note whether you are mentioned, how you are described, and whether the positioning matches what you want to communicate.
The companies that will win in AI search are the ones that understand this is not a new game requiring new tactics. It is an evolution of search that rewards the same fundamentals that have always worked. Clear positioning, quality content, and genuine authority. Focus on those and the AI visibility will follow.
