The search intelligence platform behind our recommendations.

We built a proprietary search intelligence platform to track how brands appear across AI search platforms, and we operate it for you. Here's how it works.

A search intelligence platform measures how AI search engines such as ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode answer your buyers' questions: which brands they name, which they recommend, and which sources they cite. SearchIntel pairs that platform with analysts who interpret the data and a programme to act on it. Software you could buy shows you the problem; we operate the platform and close the gap.

Six platforms. One view.

We track brand visibility across the AI platforms that matter. What that monitoring covers, in plain terms, is on the AI visibility monitoring platform page.

Google AI Overviews

The AI answers appearing at the top of Google search results.

ChatGPT

The world's most popular AI assistant, used by millions daily.

Claude

Anthropic's AI assistant, growing rapidly in business use.

Gemini

Google's conversational AI, integrated across Google products.

Perplexity

Citation-first AI search engine, exposing source links on every answer.

Google AI Mode

Google's dedicated conversational search tab, reached 1B MAU at I/O 2026.

How we gather intelligence

We ask the questions

We query each AI platform with your target keywords, the same questions your customers are asking.

We capture the answers

We record which brands appear, where they rank, what sources are cited, and who your competitors are in each response.

We tell you what it means

We turn raw data into strategic insights: what's working, what's not, and what to do about it.

Why this is different from asking ChatGPT yourself

One query, once, is not data. It is a snapshot with no context.

AI answers vary by session, location, and context

Ask the same question twice and you will get two different answers. AI models sample probabilistically and personalise by conversation history. A single manual check tells you nothing about how your brand actually performs across the long tail of sessions your customers will run.

We run each query multiple times across six platforms

SearchIntel runs every query through ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, and repeats each query enough times to stabilise the variance. The output is a distribution, not a single answer. We report how often your brand is recommended versus mentioned versus absent, and which competitors consistently appear in the top of each response.

We track the same queries over time

Visibility is a moving target. A brand that ranks in 40 percent of responses today may fall to 15 percent next month as AI models retrain, competitors publish, or review sentiment shifts. SearchIntel stores every check and shows you the trend, not just the latest reading.

We trace the citations

When an AI model names a brand, we capture what it cited. A recommendation backed by a Reddit thread behaves differently from one backed by a review site or a publisher article. Understanding the citation pattern is what makes the data actionable.

Global coverage. Local intelligence.

We track visibility across six markets with native-language prompts because AI recommendations differ by region.

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UK

English

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US

English

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Germany

German

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France

French

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Spain

Spanish

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Australia

English

AI platforms give different answers in different markets. We track them all.

What we measure

The metrics that matter for AI visibility.

Brand Visibility

Whether your brand appears in AI responses, and how often.

Competitive Mentions

Which competitors are recommended instead of you.

Citation Sources

Where AI platforms get their information from.

Recommendation Strength

Whether you're the top recommendation or a secondary mention.

Google AIO Frequency

How often Google shows AI Overviews for your keywords.

Trend Over Time

How your visibility is changing week to week.

The three metrics that matter

Most AI visibility tools report one number. We report three because they answer different questions.

Metric 01

Share of Memory

The percentage of AI queries in your category where your brand appears at all. This is your floor. If you are not in the memory, you are not in the consideration set.

Answers the question: are we even visible?

Metric 02

Recommendation Rate

Of the queries where your brand appears, how often are you actively recommended versus just listed. Being named in a roundup is not the same as being the answer. Pipeline correlates with the second, not the first.

Answers the question: are we the choice?

Metric 03

Entity Authority

The signal strength behind the recommendation. AI models weight sources: Reddit threads, review sites, publisher articles, and community forums all contribute differently. Entity Authority captures whether your brand has the citation footprint that AI treats as credible.

Answers the question: will the recommendation hold?

All three move independently. A brand can have high Share of Memory and low Recommendation Rate, which means people see the name but do not choose it. A brand can have high Recommendation Rate and low Entity Authority, which means the recommendation is fragile and vulnerable to the next model retrain. We track all three because any single number misleads.

What AI visibility data actually means

No one has access to real query data from ChatGPT, Claude, or Gemini. These platforms don't share what users are searching for.

Every AI visibility tool, including ours, uses synthetic prompts to estimate brand presence. The data is directional, not absolute.

What matters is the signal: Are you visible? Are competitors winning? Is it getting better or worse?

We're transparent about this because we think you should know how the data works. We focus on trends, patterns, and actionable insights, not false precision.

See what our intelligence looks like

Here's an example of what we produce.

SearchIntel Keywords & SERP Analysis showing AI visibility scores across Google AIO, ChatGPT, Claude, and Gemini

View full sample output →

Check your brand's visibility for free

Common questions

How many queries do you track per brand?

Diagnostic engagements cover 50 to 100 queries. Ongoing retainers scale beyond that, typically 200 to 500 queries depending on category breadth and geographic footprint. The query set is co-designed with your team, so it reflects the questions your buyers actually ask.

Which AI platforms does SearchIntel cover?

ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. These account for the overwhelming majority of AI search traffic we see in client GA4 data. We add new platforms as their query volume crosses a meaningful threshold.

How often are queries refreshed?

Core queries run daily for retainer clients. Diagnostic query sets run weekly during the engagement, with a full refresh at week one, three, and six. Historical snapshots are preserved so you can track movement week over week or month over month.

Can we export the data?

Yes. Retainer clients get monthly reporting in deck format plus a data export on request. Raw query responses are available for any date inside the retention window.

Do you integrate with our existing analytics stack?

SearchIntel stands alongside your analytics rather than inside it. We read from GA4 and Search Console to correlate AI visibility with downstream traffic and conversion patterns. We do not write data into your systems.

What is the minimum engagement?

The 45-day diagnostic is the smallest strategic engagement. Ongoing access to the platform is through a three-month strategic advisory retainer. We do not offer self-serve monthly subscriptions because the platform alone does not deliver the outcome most buyers are looking for.

What is a search intelligence platform?

A search intelligence platform measures how AI search engines answer the questions your buyers ask: which brands are named, which are recommended, and which sources each engine cites. It replaces guesswork with grounded, repeated measurement across ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews and Google AI Mode.

Is SearchIntel search intelligence software or an agency?

Both, deliberately. The measurement runs on our proprietary platform, and the interpretation and execution come from experienced search strategists. We are not a DIY dashboard you have to staff; we operate the platform and deliver the programme.

What does search intelligence software measure?

Three things that matter commercially: Share of Memory (how often you appear in relevant AI answers), Recommendation Rate (whether you are actually recommended rather than mentioned), and Entity Authority (how confidently the engines understand who you are). Each is tracked per platform and per market.

Want to see how your brand performs?

Book a call and we'll walk you through your AI visibility.

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