The 6 Google SEO Tools Everyone Uses - And the One Thing They All Miss

Google's free SEO toolkit is genuinely solid. But every tool in it has the same blind spot - and it is quietly costing businesses visibility they do not know they are losing.

If you work in SEO or run a business with any online presence, you almost certainly have Google Search Console open in a browser tab right now. These six Google SEO tools - Search Console, GA4, PageSpeed Insights, Google Business Profile, Keyword Planner, and Google Trends - have become the default starting point for anyone trying to understand their search visibility.

And rightly so. They are powerful, free, and deeply integrated into how Google thinks about quality and relevance. But they all share a fundamental limitation that is becoming increasingly costly as search behaviour shifts: they are built entirely around Google's ecosystem, and they have no visibility into what is happening in AI search.

That gap matters more than most businesses realise. Here is an honest look at what each tool does well - and what the whole toolkit leaves out. For more on AI search and GEO, browse the full SearchScore blog.

What Do the 6 Free Google SEO Tools Actually Do Well?

1. Google Search Console

Search Console is the closest thing to ground truth for your Google performance. It shows you which queries are driving impressions and clicks, which pages are indexed (and which are not), Core Web Vitals status, mobile usability issues, and manual actions from Google's reviewers. For understanding how you perform inside Google's index, nothing else comes close. It is the first tool to open when something goes wrong with your rankings, and it should be checked weekly as standard practice.

2. Google Analytics 4

GA4 answers a different question: once people arrive on your site, what do they do? Traffic sources, conversion events, user engagement, session duration, and revenue attribution all live here. The transition from Universal Analytics was painful for many teams, but GA4's event-driven model is genuinely more flexible for measuring complex user journeys. It is indispensable for tying organic search performance to business outcomes - not just traffic numbers.

3. PageSpeed Insights

PageSpeed Insights runs Google's Lighthouse audits against a real URL and returns your Core Web Vitals scores - Largest Contentful Paint, Interaction to Next Paint, Cumulative Layout Shift - along with field data from real Chrome users via the CrUX dataset. Since Core Web Vitals became a ranking signal, this tool moved from "nice to check" to "critical to monitor." Slow pages cost rankings. This tool tells you exactly where the problems are.

4. Google Business Profile

For any business with a physical location or local service area, Google Business Profile (formerly Google My Business) is the engine behind your Google Maps and local pack visibility. Keeping it accurate - correct category, updated hours, fresh photos, active review responses - has a direct effect on whether you appear when someone searches for your type of business near them. It is free, high-impact, and still neglected by a surprising number of local businesses.

5. Google Keyword Planner

Originally built for Google Ads, Keyword Planner is useful for SEO because it surfaces search volume data and keyword ideas straight from Google's own index. It is not the deepest keyword research tool available - Ahrefs and Semrush provide significantly more detail - but for understanding the rough scale of demand around a topic, or finding keyword variations you had not considered, it remains a practical free option, particularly for smaller teams without paid tool budgets.

6. Google Trends

Trends answers questions about relative search interest over time rather than absolute volume. Is this topic growing or declining? Is there a seasonal spike every December? How does one term compare to another in different regions? For content planning, campaign timing, and spotting emerging topics before they peak, Trends is genuinely useful - and underused by most SEO practitioners who could get more from it with a bit of deliberate exploration.

What Are All 6 Google SEO Tools Missing?

Here is the thing none of these Google SEO tools will tell you: whether ChatGPT recommends your business when someone asks for a service like yours. Whether Perplexity cites your content when a user asks a question you have written a detailed answer to. Whether Gemini knows who you are. Whether Google's own AI Overviews pull from your pages - or skip you entirely.

These are not hypothetical future concerns. The scale of AI search adoption is already significant:

That is nearly half your potential customer base using a discovery channel that your entire analytics stack has zero visibility into. And from the perspective of your Google tools, those sessions simply do not exist.

The gap is structural, not accidental. Google's tools are built to measure Google. They were never designed to track what happens when a user opens ChatGPT and asks an AI assistant to recommend a dentist, a solicitor, a plumber, or a SaaS product. But the signals that determine your AI search visibility are technical - and they are measurable. Here is what none of the six tools above are checking:

• Whether your robots.txt blocks AI crawlers - GPTBot (OpenAI), ClaudeBot (Anthropic), and PerplexityBot all have distinct user-agent strings. Many websites block them inadvertently through wildcard rules, or deliberately without realising it cuts them out of AI search entirely.
• Whether your content is JS-gated and invisible to AI crawlers - AI bots, like all crawlers, struggle with JavaScript-rendered content. If your key pages only become visible after a JS framework loads, there is a meaningful chance AI engines are not reading them at all.
• Whether your structured data is AI-readable - Schema markup helps Google, but the same markup also tells AI engines who you are, what you do, and whether you are a credible source worth citing. The absence of Organisation schema or FAQPage schema is invisible to your Google tools but highly visible to AI systems evaluating your citability.
• Whether you have an llms.txt file - This emerging standard gives AI models explicit guidance on how to understand and represent your site. Google has no equivalent, so no Google SEO tool checks for it.
• Whether you have meaningful brand presence across the open web - AI systems are trained on the breadth and consistency of how your brand appears across third-party sources. This is a different signal from Google's link graph, and it is not tracked by any Google tool.

What Is Generative Engine Optimisation (GEO)?

Generative Engine Optimisation (GEO) is the practice of optimising a website to appear in AI-generated answers from tools like ChatGPT, Perplexity, and Google AI Overviews. Unlike traditional SEO, which targets ranked link lists on a results page, GEO targets the synthesised answers that AI engines generate - where only a handful of sources get cited per query, and everything else receives zero visibility.

GEO and traditional SEO overlap in several areas - both reward high-quality content, clear site structure, and strong brand authority. But GEO introduces a distinct set of additional signals that traditional Google SEO tools were never built to measure: llms.txt presence, AI crawler access permissions, AI-readable structured data, and the breadth of your brand's presence across the open web.

Understanding GEO is increasingly important for any business that relies on search-driven discovery. It is not a replacement for your existing Google SEO tools stack - it is the missing layer on top of it.

What Does AI Search Actually Look For?

AI search engines evaluate websites differently from Google's algorithm. Understanding those signals is the first step to optimising for them.

llms.txt - the AI equivalent of robots.txt

Think of llms.txt as robots.txt for AI language models. It is a plain text file placed at the root of your domain that gives AI systems a structured summary of your site - what you do, who you are, what your most important pages are, and how you want your content to be understood and attributed. It does not guarantee citation, but it removes ambiguity for AI systems trying to evaluate your site. SearchScore itself publishes an llms.txt file at searchscore.io/llms.txt, making its own content and methodology clearly readable by AI systems - the same standard it helps other businesses implement. Only a small fraction of websites currently have one, which makes it an early-mover advantage worth acting on now.

AI-readable structured data

Organisation schema tells AI engines that your business is a real, verifiable entity with a known location, contact details, and a clear purpose. FAQPage schema surfaces your answers in a machine-readable format that AI engines can draw from directly. Article schema signals that your content is informational and citable. These are all standard Schema.org markup types - the same ones Google recommends - but their importance extends well beyond Google's results pages into every AI system trained or searching the open web.

E-E-A-T signals

Google's framework for evaluating Experience, Expertise, Authoritativeness, and Trustworthiness translates directly into AI citation behaviour. AI models are trained to prefer content with named author credentials, cited sources, original research or analysis, and clear editorial standards. Anonymous, uncredited content is harder for AI systems to evaluate as trustworthy. Adding author bylines with genuine credentials is a low-effort change with meaningful impact.

AI crawler access in robots.txt

Review your robots.txt file and check for User-agent: GPTBot, User-agent: ClaudeBot, and User-agent: PerplexityBot directives. If any of these are followed by Disallow: /, those AI engines cannot crawl your site. Also check that any wildcard User-agent: * rules are not inadvertently blocking AI crawlers alongside less desirable bots. This is the single highest-impact fix for most websites - and it takes minutes.

Server-rendered content

If your site relies heavily on JavaScript frameworks to render content client-side, key information may not be present in the initial HTML response that AI crawlers see. Server-side rendering (SSR) or static generation ensures that your content is visible in the raw HTML - no JS execution required. This is particularly important for product pages, service descriptions, and any content you want AI engines to cite.

Brand citations across the open web

AI models are trained on large corpora of web content. The more consistently and positively your brand appears across trusted third-party sources - industry publications, directories, review platforms, news mentions - the more evidence AI systems have that you are a credible, citable entity. A brand that exists exclusively on its own website is much harder for AI to corroborate. Building that external presence is a slower process than technical fixes, but it has compounding returns over time.

How Do You Fill the Gap in Your Google SEO Tools Stack?

The six Google tools covered above are worth using. Keep using them. But treat them as half the picture rather than the whole one.

The other half requires auditing signals that are simply outside Google's remit: your robots.txt configuration for AI crawlers, your llms.txt presence, the quality and completeness of your structured data, the depth of your E-E-A-T signals, the renderability of your key pages, and the breadth of your brand presence across the open web.

Most of these are fixable in a single sprint. Updating robots.txt takes minutes. Adding Organisation schema takes an afternoon. Writing an llms.txt file takes an hour. The issue for most businesses is not the effort required - it is that they have no visibility into which of these signals are missing, and no tool in their current Google SEO toolkit is telling them.

Google's tools tell you how you look from Google's perspective. SearchScore tells you how you look from the perspective of every AI engine that is increasingly influencing where your next customer decides to go. Both matter. Right now, most businesses are only measuring one of them.

Frequently Asked Questions

Do Google SEO tools measure AI search visibility?

No. Google Search Console, GA4, PageSpeed Insights, Google Business Profile, Keyword Planner and Google Trends are all Google-centric by design. They measure your performance within Google's ecosystem but provide no data on whether ChatGPT, Perplexity, Gemini or other AI engines are citing or recommending your website. To measure AI search visibility, you need a dedicated GEO audit tool like SearchScore.

What is Generative Engine Optimisation (GEO)?

Generative Engine Optimisation (GEO) is the practice of optimising a website to appear in AI-generated answers from tools like ChatGPT, Perplexity, and Google AI Overviews. Unlike traditional SEO, which targets ranked link lists, GEO targets the synthesised answers AI engines generate - where only a handful of sources get cited per query. The signals GEO optimises for are different from those measured by standard Google SEO tools: llms.txt, AI crawler access, AI-readable structured data, E-E-A-T depth, and open-web brand citations all matter significantly.

How can I check if ChatGPT or Perplexity recommend my business?

You can test manually by asking ChatGPT (with Browse enabled) or Perplexity to recommend businesses in your category or location. For a structured audit covering all AI visibility signals - robots.txt crawler access, llms.txt, structured data, E-E-A-T content, brand authority and technical health - run your free SearchScore audit. It scores your site 0-100 across eight categories and provides a prioritised fix list.

What is llms.txt and why does it matter for SEO?

llms.txt is an emerging file standard that gives AI language models explicit guidance on how to understand and use your site's content - similar to how robots.txt guides traditional web crawlers. A well-written llms.txt file helps AI engines accurately represent your business and cite you appropriately. Only a small fraction of websites currently have one, which represents a significant early-mover advantage for businesses that implement it now.