7 things a UK AI SEO agency must do to get you found in 2026

Rankings alone no longer guarantee that your business gets found. In 2026, a growing share of search journeys end without a click, because Google AI Overviews, Google AI Mode, ChatGPT and Perplexity generate answers directly on the page. If your brand isn’t being cited in those answers, you’re invisible to a segment of buyers who never scroll to a link.

The problem? Most agencies claiming to offer AI search optimisation lead with marketing language and fall short on technical evidence. This list gives UK B2B and commercial marketing teams a practical framework for evaluating any agency’s AI + Google visibility capability, with the specific things to ask for and why they matter.

1. Crawl and index readiness for AI systems

Before any AI system can cite your content, it needs to access and understand it. That means checking whether AI crawlers such as GPTBot and Perplexity’s bot are permitted in your robots.txt, and whether an llms.txt file (an emerging convention for AI-readable site summaries) has been considered. A credible technical SEO agency will audit crawl access, fix crawl errors, verify canonical tags, and confirm that the pages you want cited are actually indexable.

Ask any prospective agency to show you a before/after crawlability assessment and explain how they handle AI-specific bot access.

2. Entity and structured data clarity

AI systems read pages the way search engines do: through signals, not just words. Structured data (schema markup written in JSON-LD) tells both Google and LLMs exactly what a page is about, who published it, and what it offers. Google’s own structured data guidance, published December 2025 via Search Central, states that adding structured data can enable search results that are more engaging to users and encourage interaction.

Request a sample JSON-LD snippet from any agency you’re evaluating. If they can’t produce a working example for your industry, that’s a signal. Structured data validation tools such as Google’s Rich Results Test and the schema.org Validator are the baseline for checking implementation quality. More on what’s worth prioritising is covered in schema markup priorities for 2026.

3. Extractable, answer-first content

LLMs select content that is clearly structured and directly answers a question. Long paragraphs of undifferentiated prose are rarely cited. Content needs to be modular: short answers at the top of sections, clearly labelled headers, factual claims that can be extracted without surrounding context.

This is closely tied to answer engine optimisation (AEO), a discipline that prioritises direct-answer formatting over traditional long-form prose. Ask any agency for examples of pages they’ve restructured for extractability and what changed in AI citation frequency as a result.

4. E-E-A-T signals and citation authority

Google’s AI features draw heavily on signals of experience, expertise, authoritativeness, and trustworthiness (E-E-A-T). So do ChatGPT and Perplexity when selecting which sources to reference. Authority is built through credible third-party mentions, consistent factual accuracy, and author credentials visible on the page, not just through backlinks.

A strong SEO authority-building strategy for AI visibility should include digital PR aimed at generating citations in publications that AI systems have learned to trust, alongside on-page author attribution and consistent entity information across the web.

5. Google Search Console generative AI performance measurement

Google now provides a generative AI performance report inside Google Search Console (confirmed via Google Search Central’s AI optimisation guide, published July 2026). This report lets you see how your pages perform specifically within generative AI features, not just traditional organic results.

Any agency that can’t tell you how they’ll use this report, what queries they’ll track, and how they’ll connect impressions to enquiries is not measuring AI visibility properly. The right metrics to track go well beyond traffic: AI impressions, citation frequency trends, brand visibility in AI summaries, and lead-to-opportunity conversion rates all tell a more complete story.

6. Integration with existing SEO and paid search

AI visibility work is not a separate channel. It depends on the same technical foundations as traditional SEO and is most effective when landing pages, conversion tracking, and Google Ads campaigns are aligned to the same commercial intent. Agencies that treat “AI SEO” as a standalone product, disconnected from your existing search programme, will produce fragmented results.

ExtraDigital, operating since 2002 and with experience across 20+ countries and 15 languages, approaches SEO services and PPC management as parts of the same commercial system. That means AI visibility improvements feed directly into conversion measurement, and Google Ads accounts are audited to remove inefficiency where organic and paid demand overlap. For businesses with international reach, the same structured-data and extractable-content principles apply across all markets, handled by in-house language specialists rather than machine translation.

7. A phased delivery roadmap with defined audit deliverables

Vague proposals are one of the most consistent weaknesses across UK AI SEO agencies. A credible agency should be able to present a phased roadmap with defined deliverables at each stage:

• Phase 1 (Discovery): commercial intent mapping, AI visibility baseline, technical crawl and readiness assessment, structured data gap analysis, content extractability audit.
• Phase 2 (Build): schema implementation, content restructuring for answer-first formatting, landing page alignment, internal linking and entity reinforcement.
• Phase 3 (Authority): digital PR and content strategy targeted at AI citation scenarios.
• Phase 4 (Reporting): Search Console generative AI measurement plan, AI visibility monitoring, enquiry and revenue attribution.

The SEO audit process at ExtraDigital follows this structure, delivering a prioritised backlog, implementation checklist, and reporting dashboard template alongside the initial audit findings.

What to ask before signing a contract

Use this as a quick screening checklist when comparing proposals:

• Can you show screenshots of AI citations you’ve achieved for clients?
• What JSON-LD schema types do you implement, and can you show an example for my industry?
• How do you check and manage AI bot crawl access?
• Which dashboards or reports do you use to track generative AI performance?
• How do you connect AI visibility improvements to enquiries and revenue, not just impressions?
• What is your update cadence for content freshness and E-E-A-T quality?

Agencies that answer these questions with concrete examples, not general promises, are the ones worth shortlisting.

FAQ

Is AI SEO the same as traditional SEO? It builds on the same foundations. Google’s AI features guidance (Search Central, December 2025) is explicit: performance in AI features depends on core Search fundamentals, not a separate set of tactics. The distinction is in the additional layer of work: extractable content formatting, structured data precision, entity clarity, and AI-specific citation monitoring.

How do you measure AI visibility? Primarily via Google Search Console’s generative AI performance report, supplemented by manual citation monitoring in ChatGPT, Perplexity, and Google AI Mode, and by tracking enquiry source data. Traffic alone is insufficient because many AI answers generate zero clicks.

Does schema markup influence AI answers? Structured data helps AI systems interpret page content accurately. Google’s guidance supports implementing it for search result quality. It does not guarantee inclusion in AI-generated answers, but it reduces ambiguity and improves the accuracy of how your content is classified.

Can one agency handle both AI visibility and Google search? Yes, and they should. Separating the two creates inconsistency in content strategy, technical implementation, and reporting. The strongest outcomes come from agencies that treat both as part of the same AI search and SEO programme.

How do you avoid producing AI content that doesn’t get cited? Focus on original, factually accurate, regularly updated content that demonstrates genuine expertise. AI systems prioritise sources they have learned to trust. Generic content, vague claims, and pages without clear authorship are consistently deprioritised. See how zero-click content and SERP capture applies to this challenge.

Get an AI + Google visibility roadmap

If you want to understand where your site stands against the criteria above, ExtraDigital offers a structured AI + Google visibility audit covering technical crawl readiness, structured data gaps, content extractability, and current generative AI performance. The output is a prioritised action plan tied to your commercial targets, not a generic report.

To request a scoping conversation, bring your industry, target markets, website technology, and current conversion tracking status. Contact ExtraDigital at extradigital.co.uk to arrange a discovery call.