Key takeaways
- Buyers are increasingly asking ChatGPT, Perplexity, and Gemini for recommendations instead of searching Google
- AI models recommend brands based on entity sentiment, off-page citations, and third-party mentions, not just keywords
- “AI SEO” search interest is already running at an estimated 20,000-50,000+ searches a month
- Getting cited requires unblocking AI crawlers, writing direct answers, and building off-site validation
Your buyers are asking AI for recommendations – is your brand showing up?
Traditional search isn’t the only way people find brands anymore. A growing share of buyers skip Google’s ten blue links and ask ChatGPT, Perplexity, Claude, or Gemini for a direct recommendation instead.
If your marketing strategy still runs on 2020-era keyword rankings, you’re invisible to that audience.
To see how real this shift already is, We did a quick research on Gemini:
how many searches per month are there for the phrase or keywords – how to get my website found on AI chatgpt etc.
Here’s the estimated key search volumes from marketers and website owners search for the same topic under Generative Engine Optimization or GEO, ranked from the highest.

Gemini’s own read: the exact long-tail phrase barely registers, but the broader category is a different story – “AI SEO” alone is running at an estimated 20,000 to 50,000+ searches a month, with related terms climbing behind it.
Why AI recommends what it recommends
LLMs don’t rank websites by backlink authority or keyword density alone. They weigh entity sentiment, off-page citations, structured data, and mentions across directories, forums, and industry publications.
When a buyer asks an AI model for the best marketing agency for scaling SMEs, it recommends the brands showing up consistently across that data – not necessarily the best product, just the most visible one online.
If you’re outside that data, a competitor gets recommended instead, regardless of which product is actually better.
How to build a GEO strategy
Three things matter here:
- Unblock AI crawlers. Check your robots.txt allows GPTBot, OAI-SearchBot, and PerplexityBot to reach your key content.
- Write for direct answers. Follow each H2/H3 with a concise, factual answer, backed by structured schema markup.
- Build validation off-site. AI models weigh third-party consensus heavily – citations on Reddit, Quora, review sites, and trusted media move the needle more than on-site keywords alone.
Want the full breakdown, including how to keep your brand consistent across ChatGPT, Claude, and Perplexity when they don’t always agree? Check the GEO framework in What Is Generative Engine Optimization (GEO)? How to Rank Inside ChatGPT, Claude, and Perplexity.
Track and measure it with ScoutLLM and Top4 Technology
You can’t optimise what you don’t measure, and traditional rank trackers can’t see conversational AI answers. That’s where scoutllm.ai comes in:
- See how often your brand appears in answers across ChatGPT, Gemini, Perplexity, and Google AI Overviews
- See the exact questions buyers are asking, and whether AI is recommending you or a competitor
- Compare your citation rate against competitors and spot the gaps
Scout LLM shows where you are cited or missed based on keywords/query.
Once you have that data, execution is what matters. We help SMEs, multi-location franchises, and enterprise brands build full-funnel AI SEO and GEO strategies: site structure, entity authority, and content built to get you recommended first.
Want to know whether AI is recommending you or your competitor? Run your AI visibility audit at scoutllm.ai, or talk to our team at top4technology.ai.






















