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How to Analyse and Improve Your SearchGPT Performance: Key Metrics and Strategies for Optimisation

Last Updated: 01/09/2026

SearchGPT no longer exists as a standalone product. OpenAI folded it into ChatGPT search back in late 2024, and by February 2025 it was rolled out to everyone. So if you are trying to analyse your SearchGPT performance today, what you are actually measuring is your visibility inside ChatGPT search.

The metrics that matter are citation frequency, click through rate from AI answers, and how often your brand gets mentioned by name. You improve your position the same way you would for any AI search tool, by publishing clear, well structured, genuinely useful content and backing it up with solid technical SEO services foundations. The rest of this guide walks through exactly how to track that performance and what to do about it.

What Actually Happened to SearchGPT

A lot of guides online still talk about SearchGPT as if it is a separate tool you need to optimise for. It was, briefly. OpenAI launched it as a limited prototype in July 2024, then folded its features into ChatGPT search that October, and opened it up to logged out users in February 2025. Worth saying plainly, if you are still writing “SearchGPT strategy” into a briefing document in 2026, you are optimising for something that technically does not exist anymore under that name. The underlying mechanics have not changed much though. ChatGPT still leans on a mix of its own crawler and web indexing to pull in live results, and the content that gets cited is still the content that answers a question clearly and quickly. We covered how that compares with SearchGPT vs traditional search engines in more depth if you want the full breakdown of the mechanical differences.

Why This Matters More Than It Did Last Year

UK adoption has moved fast. According to Ofcom, 54% of UK adults now use AI tools such as ChatGPT, Copilot or Gemini, up from 31% just a year earlier. That is not a niche behaviour anymore, it is mainstream. If you run a UK business and your content only shows up in classic blue link search results, you are missing a growing slice of how people actually look things up. I have seen this play out with a handful of clients over the past year. Traffic from traditional organic search stayed roughly flat, but branded mentions and referral clicks from AI tools crept up month on month, almost unnoticed until someone actually checked the referral data properly. That is the trap. Most people are not tracking this because it does not show up in the reports they are used to pulling, which ties into which SEO metrics matter most in the first place.

The Key Metrics You Should Be Tracking

Forget vague talk about “AI visibility.” Here is what you can actually measure.

Metric

What it tells you

Where to find it

Citation frequency

How often your content is referenced in ChatGPT answers

Manual prompt testing, or tools like Profound or Otterly

Referral traffic from AI tools

How many visitors arrive via chatgpt.com or similar

Google Analytics referral reports

Branded query volume

Whether more people are searching your brand name directly

Google Search Console and keyword tools

Answer accuracy

Whether AI tools describe your product or service correctly

Manual checks against your own prompts

Click through rate

How many AI referrals actually land on your site

GA4 landing page reports segmented by source

Response time and answer accuracy used to be the headline metrics people quoted for SearchGPT specifically. They still matter, but they are largely OpenAI’s problem to solve, not yours. What you can control is whether your content gets cited at all, and that depends heavily on the fundamentals covered in which SEO metrics matter most for organic search generally, since AI search still leans on the same underlying signals of relevance and authority.

How to Actually Measure Your Current Performance

Start with the basics before you buy any specialist AI tracking tool. Go into Google Analytics and filter your referral traffic by source. You are looking for chatgpt.com, perplexity.ai and similar domains. If you have never done this before, our guide to key Google Analytics metrics for beginners walks through where to click. Then pair that with Google Search Console to check whether branded search volume has moved, because a rise in people searching your company name directly is often a downstream sign that they first encountered you through an AI answer.

After that, run your own manual checks. Open ChatGPT, ask the sort of question your customers actually ask, and see whether you show up, and whether what it says about you is accurate. Do this once a month at minimum. It sounds tedious, and honestly it is a bit tedious, but it is also the most reliable way to catch a factual error before it spreads. AI tools do occasionally get things wrong about smaller brands with thin web presence, and there is no dashboard that flags that for you.

Strategies to Improve Your Visibility

Once you know where you stand, here is where to focus your effort.

Write for the question, not the keyword. AI search tools are built to answer questions directly. Structure your content so the core answer appears early, then expand on it. This is the same principle behind creating user centric content for AI search, and it holds regardless of which AI platform you are optimising for.

Get your structured data in order. Structured data and schema markup give AI crawlers a clearer map of your content. It will not guarantee a citation, but it removes friction, and friction is usually what stops a page being picked up at all.

Do proper keyword research, but widen the net. Keyword research for AI search should now include full question phrases, not just short head terms. Think about how someone would actually type a question into ChatGPT rather than how they would type it into Google.

Build genuine author credibility. Why author bios matter for SEO is not a small technical footnote anymore. AI systems increasingly weigh who wrote something alongside what was written, so a named, credentialed author with a real bio carries more weight than an anonymous byline.

Do not ignore voice and conversational search. Optimising for voice search overlaps heavily with AI search optimisation because both reward natural, conversational phrasing over stiff keyword stuffing.

Stay current on where AI generated content actually stands. There is a lot of confusion about whether Google ranks AI generated content, and the honest answer is that quality and originality matter far more than who or what typed the first draft.

Use AI tools yourself, sensibly. There is a reasonable case for using AI tools to boost your search visibility, particularly for research and outline work, provided a human still reviews and adds genuine insight before anything goes live.

For a broader run through of specific tactics, our older piece on essential SearchGPT optimisation strategies and the follow up on top content strategies for AI search are both still largely accurate on the content side, even though the product name behind them has changed.

A Quick Word on Paid Channels

Organic and AI search visibility do not exist in isolation from the rest of your marketing. If a prospect sees your brand mentioned in a ChatGPT answer but you have no other presence to reinforce it, that first impression can fade fast. Pairing organic content work with a properly run PPC marketing agency approach, a Google Ads agency that understands your sector, and targeted campaigns through a LinkedIn advertising agency or a Facebook ads agency tends to reinforce the brand recognition that AI tools then pick up on when they summarise who the credible players in your market are. This is not a hard rule, it is just a pattern worth being aware of.

Common Mistakes to Avoid

I still see the same few errors repeated across otherwise solid content strategies.

First, treating AI search optimisation as a separate discipline from ordinary SEO. It is not. The future trends in AI search optimisation point firmly towards convergence, not divergence, between traditional and AI driven search.

Second, chasing this quarter’s trend instead of building durable fundamentals. Our roundup of SEO trends to watch this year is useful context, but it should never replace the basics of clear writing, fast pages and honest content.

Third, ignoring the questions people actually ask about SEO in general. Our common SEO questions answered page covers a lot of ground that people assume is settled but genuinely is not.

Frequently Asked Questions

Is SearchGPT still a thing in 2026? 

Not as a separate product. It was merged into ChatGPT search in late 2024. The optimisation principles carried over largely unchanged.

How do I know if my content is being cited by ChatGPT? 

Run manual prompt tests using questions your customers would actually ask, and check your Google Analytics referral traffic for chatgpt.com visits.

Does ChatGPT search use Google’s ranking data? 

No. It draws on its own crawler and licensed data sources, which is why a page can rank well on Google and still be invisible to ChatGPT, or vice versa.

Do I need separate content for AI search versus Google? 

Not usually. Clear, well structured, genuinely useful content tends to perform well across both, provided your technical SEO is sound.

Getting Started

None of this needs to be complicated. Check your referral traffic this week. Run a handful of prompts related to your own business and see what comes back. Fix anything that is factually wrong. Then build the habit of reviewing it monthly rather than treating it as a one off project. If you would rather have a team handle the tracking, the content, and the technical detail for you, get in touch with Flow20 and we will show you exactly where you currently stand.



Shirish Agarwal

Shirish Agarwal

Shirish Agarwal leads Flow20 and has been featured as one of the Top 30 Digital Marketing Influencers of 2019 alongside Neil Patel and Rand Fishkin. His new book Gen Z to Gen Zero, which discusses the impact of AI on the job marketplace, is now out and available on Amazon.

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Shirish Agarwal leads Flow20 and has been featured as one of the Top 30 Digital Marketing Influencers of 2019 alongside Neil Patel and Rand Fishkin. His new book Gen Z to Gen Zero which discusses impact of AI on the job marketplace is now out and available on Amazon - https://bit.ly/4xw9uGP

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