AI SEO Services: ChatGPT, Gemini, Copilot, Claude, Perplexity

What Is AI SEO (Generative Engine Optimisation)?

AI SEO, also called Generative Engine Optimisation (GEO), is about making your content the kind that large language models (LLMs) like ChatGPT, Gemini, Copilot, Claude, and Perplexity want to cite and recommend. Unlike standard SEO which aims at Google's ranking algorithm, AI SEO focuses on entity authority, structured data, citation-friendly formatting, and conversational relevance.

Each AI engine has its own index and approach to citing sources. ChatGPT, for instance, leans on Bing's index plus its own web crawling, whereas Perplexity uses a real-time hybrid search. Our methodology adapts to each platform's quirks. We roll out llms.txt and llms-full.txt files to feed LLMs a neat, structured overview of your site. We also weave in entity markup (schema.org) to strengthen your Knowledge Graph signals.

For a deeper look, check out our AI SEO strategies for 2026.

Why AI Search Will Matter in 2026

Come 2026, AI-generated answers will have completely changed the way people search. ChatGPT alone now gets over 200 million weekly users. Gemini is woven into Google's ecosystem. Copilot runs Microsoft's Bing Chat. Claude is the go-to for heavy research queries. Perplexity leads when it comes to citing sources in real time. Brands that ignore AI SEO are effectively vanishing from the fastest-growing search channel out there.

For B2B SaaS, fintech, e-commerce and advertising tech businesses, a single AI recommendation can easily be worth thousands in extra revenue. In restricted sectors like gambling, crypto or supplements, AI search provides a more lenient citation environment than Google's strict rulebook. Our Gemini SEO service, for example, helps brands get featured inside Google's AI Overviews.

We've seen clients win back the traffic they lost from Google algorithm updates simply by switching focus to AI search optimisation. The trick is building entity authority across multiple AI platforms at once.

Our AI SEO Method in 5 Steps

1. Audit and Entity Mapping: We take a look at your existing content, brand mentions and entity connections across the web, then pinpoint the gaps in your Knowledge Graph presence.
2. llms.txt and Structured Data Setup: We create llms.txt and llms-full.txt files along with schema markup (FAQ, HowTo, Article, Organisation) so large language models can easily digest your content.
3. Content Tuning for Each AI Engine: We rewrite your most important pages to make them citation-friendly: clear claims, inline references, bullet points and conversational Q&A formats that LLMs love.
4. Building Authority: We earn citations from trusted sources such as Wikipedia, government websites and industry databases to improve your entity ranking.
5. Ongoing Monitoring and Iteration: We keep tabs on how you're mentioned in ChatGPT, Gemini, Copilot, Claude, and Perplexity. Then we tailor your content based on which engines are citing you and how they're doing it.

You'll find a detailed breakdown of this approach in our SEO services overview.

What we deliver for AI SEO clients

• llms.txt and llms-full.txt files tuned to each AI engine
• Entity schema markup for Person, Organisation, Product, FAQ, and HowTo
• Content rewritten to be citation-ready with clean quotes, stats, and sources
• Internal linking plan to strengthen entity authority
• Building backlinks from high-authority citation sources
• Monthly monitoring reports showing how often you're mentioned in AI and the sentiment
• Competitor analysis: finding out which brands pop up in AI answers for your keywords
• Optimised author pages with bios and credentials (check out our authors)
• Plug-and-play integration with your current SEO tools like Ahrefs, Semrush, and Screaming Frog
• Custom dashboards to monitor AI search performance

Sectors Where We Shine

Our AI SEO services really come into their own for high-stakes sectors where conventional Google SEO is either restricted or unpredictable:

• Gambling and iGaming: AI engines tend to cite licensed operators more freely than Google does. We optimise for Gemini and Perplexity, both of which have more relaxed policies.
• Crypto and Fintech: ChatGPT and Claude are go-to tools for crypto research. We make sure your brand gets cited as a trusted source.
• Supplements and Nutraceuticals: Perplexity and Copilot often surface product suggestions. We fine-tune product pages for conversational queries.
• B2B SaaS: We target decision-makers who ask AI for tool recommendations. Our Claude SEO service is a popular choice for B2B.
• E-commerce: We optimise for product discovery via AI chatbots.

Pricing and Process

We don't publish a set price list. Each AI SEO engagement is scoped following a discovery call. Pricing depends on things like your current entity authority, how many pages need optimising, the competitive landscape, and how many AI engines you're targeting. Typical engagements start at $5,000 per month for a single engine and scale from there.

Process: 1) Get in touch with us on Telegram or WhatsApp. 2) We carry out an audit of your current AI footprint. 3) We put together a 90-day plan. 4) We roll out the plan and keep refining it. For managed campaigns, we can also make use of our established Google Ads accounts to boost organic AI visibility.

All conversations happen securely through Telegram or WhatsApp. We never share client lists or case studies in public, as these are covered by NDAs.

Risks and Policy Considerations

AI SEO is still young and the rules keep shifting. The main risks are:

• Hallucination: LLMs can invent references. We keep an eye on this and flag corrections using feedback tools.
• Policy Shifts: OpenAI, Google and others may tweak their citation algorithms from time to time. We stay on top of things by keeping an eye on their changelogs.
• Competitive Pressure: If your rivals are also optimising, your share of voice could take a hit. We keep iterating to stay ahead.
• Restricted Verticals: Certain AI engines have stricter rules for sectors like gambling, crypto and the like. We tailor our approach for each engine.

We offset these risks by spreading efforts across a range of AI engines and keeping a solid base of traditional SEO. Our DeepSeek SEO service also covers the newer Chinese AI engines that are emerging.

AI SEO vs DIY vs Random Resellers

Plenty of brands try their hand at AI SEO in-house or bring in generic SEO agencies. Here's how we stack up:

• DIY: Sure, you can add llms.txt and schema markup yourself, but you'll miss the entity authority building and cross-engine fine-tuning that needs constant monitoring. Most DIY setups fail because they treat AI SEO the same as old-school SEO.
• Random Resellers: A lot of resellers tack on AI SEO as an extra without proper know-how. They often lean on automated tools that churn out thin content, which invites penalties. They rarely grasp the subtleties of each AI engine's citation reasoning.
• Unled Network (AI SEO Hub): We blend programmatic SEO with entity-focused optimisation. We run dedicated services for every major AI engine, follow a proven methodology, and have a solid track record in regulated verticals. We also offer managed campaigns with aged ad accounts for quick testing.

Check our reviews to hear what clients say.