AI SEO, GEO & LLM Search Services

They are the practical work of making it easier for AI search tools to find, understand, describe and cite the public information about your brand. LLM stands for large language model, the technology behind tools like ChatGPT. The work can include making sure AI tools can technically reach your site, content and evidence, keeping business facts and product feeds consistent, earning honest backing from other websites, making your site easy for AI assistants to use, and measurement. The exact settings and data differ from platform to platform.

GEO adds new AI tools, bot settings, sample AI answers, citations, data sources and AI assistant journeys, but it does not replace SEO. Google says its AI features are still built on its core Search ranking and quality systems, so making your site easy to crawl and list, useful content and overall site quality are still the foundation.

Google describes query fan-out as running several related searches across subtopics and data sources to build one answer. We use that idea to map the evidence a complex buying decision needs. We don't create a separate thin page for every possible related search, because mass-produced, low-value content can break Google's spam rules and weakens your site.

No. Google's own guidance says there is no need to split content into tiny pieces for its AI search features. We use clear headings, paragraphs, tables and summaries when they help people understand, while keeping the context, detail and flow of the whole page.

No. Google says there is no special schema you need to add for its AI search features. Supported schema can still make your pages clearer and help you qualify for regular rich results (search listings with extras like stars or prices), but it must match what's visible on the page and meet the rules for that feature.

An llms.txt file is an optional summary file that some AI tools may choose to read, mostly for documentation sites. It is not a universal standard or a ranking switch, and Google says it ignores llms.txt for Search. We only add one when there is a clear reason for it and someone to keep it up to date.

OpenAI says OAI-SearchBot finds and shows public pages in ChatGPT search, while GPTBot collects content that may be used to train its AI models. You can set these two choices separately. For example, you can allow ChatGPT search to find your pages while blocking use for training, following OpenAI's documented settings.

Perplexity documents PerplexityBot for building its search index and Perplexity-User for fetching pages when a user asks a question. It also publishes its current IP addresses so your firewall can confirm a visit is genuine. We test the two separately and never weaken your security based only on the name a bot gives itself.

For Google, yes. Google advises keeping your Merchant Center product information and Google Business Profile up to date, so your product and local business details stay accurate across Search, including its AI answers. We make those sources match your web pages and schema instead of treating page text as the only source.

It means making supported journeys clear and accessible: real links and buttons, form labels tied to the right fields, correct roles and states, layouts that don't jump around, and visible confirmation or error messages. We test important actions carefully and never get around logins, consent or a person's approval.

We start with anything blocking you and with getting the facts right: whether you can appear, bot or firewall access, listing and preview settings, how pages display, conflicting main versions of pages and high-risk facts that don't match. Content, feeds, schema, outside backing and AI assistant work then follow your key buyer journeys and evidence gaps.

Yes, within the written scope. We prepare the technical, content, schema, feed, profile, analytics and accessibility changes on a test version, get the approvals needed, publish them and check the live result. Any work that needs a separate developer, PR team or platform owner is named clearly rather than hidden.

We usually need Google Search Console, Bing Webmaster Tools, analytics, your tag manager, your website editor (CMS), CDN or firewall logs, Google Merchant Center or business profiles where relevant, how your customer records define each stage, approved brand facts and access to your subject experts. The audit sets the minimum we need before we start making changes.

We keep data reported by the platforms apart from our own sample answers. Depending on your access, reports can include Google's AI impressions and pages, Bing citation activity and the search phrases its AI used, visits tagged by ChatGPT, bot logs, dated sample AI answers, engaged visits and good-quality results in your customer records.

No. No agency controls AI answer systems that other companies own and keep changing, the sources they pick or what each user has told them. We can improve the things the platforms document, the quality of your evidence, the consistency of your data, your coverage on other websites and your measurement, then show you what changed without pretending to be certain.

Fixes to access and page display may show up once bots have re-read your pages, while building trust in your content and genuine backing from other websites usually takes longer. The first twelve weeks set your starting point, fix the most important gaps and produce the first report you can rely on. It is not a promised date for appearing in AI answers.

The price reflects the number of markets and AI tools, how many sample questions we test, technical fixes, content and evidence work, business facts or product feed work, research into outside sources, connections between systems, ownership needs and how detailed the reporting is. The audit sets the scope before we agree the monthly fee.

Your signed proposal or agreement states the length of the engagement, notice period, renewal, payment and how to end it. Please don't assume any contract terms from this page.