AI DistributionUpdated June 2026

How to Get Your Business Found by AI

ChatGPT, Perplexity, Gemini, and Google AI Overviews now sit between your customers and your business. Here is how to make sure they recommend you.

Quick answer

To get found by AI assistants, make your pages retrievable (indexed in both Google and Bing, allowed for AI crawlers), answer real questions in the first sentence, prove credibility with cited data and primary sources, expose machine-readable structure (JSON-LD schema plus an /llms.txt map), and keep content fresh. AI assistants synthesise one answer from the web and name the sources that resolve the question best — there is no paid placement, so structure and credibility decide who appears.

Why AI discoverability is now a distribution channel

A large and growing share of commercial questions are now answered by an AI assistant before the user ever sees a list of links. When someone asks an assistant which product to buy, which provider to hire, or which tool to use, they get one synthesised answer. The businesses named in that answer get the consideration; everyone else is invisible at the exact moment of decision. That makes "being found by AI" a genuine acquisition channel — not a vanity metric.

The good news is that the mechanics are learnable and the playing field is flatter than classic SEO. AI assistants reward clarity, structure, and credibility over raw domain authority, which is why focused businesses can outrank incumbents in AI answers.

The 5 signals AI uses to find and recommend you

Retrievability

The page must be crawlable, indexed (in both Google and Bing), HTTP 200, and allowed for AI crawlers in robots.txt. If the index does not have your page, no AI can cite it.

Answer fit

The page must directly answer a real question in plain language near the top. AI lifts the sentence that best resolves the prompt, so the answer cannot be buried.

Credibility

Specific numbers with attribution, links to primary sources, a clearly identified author or organisation, and structured FAQ content all raise the odds of being cited over a vaguer competitor.

Machine legibility

JSON-LD schema, clean semantic HTML, and an llms.txt map let machines parse your structure unambiguously, reducing the chance the model misreads or skips your content.

Freshness

A visible recent update date and a genuine refresh cadence keep you eligible for live answers. Stale pages drop out even after being cited once.

The channels that feed AI answers

AI discoverability is not one tactic — it is a stack of channels that all feed the same outcome. The core layers are: your own optimised web content (the foundation), structured data and llms.txt (machine legibility), search-index presence in Google and Bing (retrievability), MCP servers and AI plugins (direct tool access for agentic assistants), and presence in AI-cited third-party sources such as directories, comparison pages, and community discussions. A serious programme works all of these in parallel rather than betting on any single one.

A prioritised 4-week action plan

Week 1

  • Audit robots.txt for GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Googlebot, Bingbot
  • Register in Bing Webmaster Tools, submit sitemap, enable IndexNow
  • Publish /llms.txt and /llms-full.txt at the domain root

Weeks 2-3

  • Rewrite your top 10 commercial pages with definitional openings + quick-answer blocks
  • Add FAQ sections with FAQPage schema to each
  • Add Article/Organization/Service JSON-LD as appropriate

Week 4 onward

  • Build a 20-50 query tracking set and baseline your AI mention + citation rates
  • Refresh competitive pages every 7-14 days
  • Expand from pillar pages into a topical cluster of supporting guides

How to keep score

You cannot improve what you do not measure. Build a list of 20-50 buying-intent queries your customers actually type, run them monthly across ChatGPT, Perplexity, and Google AI Overviews, and record mention rate (were you named), citation rate (was your page linked), and citation position (primary or supporting). GeraReach automates this measurement across an entire product portfolio and feeds the gaps back into content and indexing work. The companion ChatGPT citation playbook, GEO strategy guide, and AI marketing channels guide go deeper on each layer.

The same approach powers distribution across the Gera ecosystem, from GeraClinic to GeraMarket and GeraHome.

Frequently asked questions

What does it mean to get found by AI?

Getting found by AI means your business appears as a recommended option or cited source when someone asks an AI assistant a relevant question — for example, when a user asks ChatGPT "what tool should I use to send cold email" or asks Perplexity "best home-services platform in the UK". Instead of optimising to rank in a list of links, you optimise to be named in the synthesised answer.

Which AI assistants should I optimise for first?

Start with the assistants that retrieve live web content, because results come fastest there: Perplexity, ChatGPT search, Bing Copilot, and Google AI Overviews. Perplexity and Bing Copilot tend to cite new content within days to a couple of weeks. Gemini and Claude with web search follow similar retrieval logic. Optimising the underlying content well makes you eligible across all of them simultaneously.

Is getting found by AI different from SEO?

It overlaps with SEO but is not identical. Classic SEO optimises ranking position in a list; AI discoverability optimises being cited in a single answer. Good SEO still helps because it feeds the indexes AI retrieves from. The additional work is structural: definitional openings, FAQ formatting, cited data, schema markup, and an llms.txt content map.

How do I measure whether AI can find me?

Build a list of 20-50 buying-intent queries your customers actually ask, then run them monthly across ChatGPT, Perplexity, and Google AI Overviews and record whether your brand is mentioned and whether your page is cited. Track mention rate, citation rate, and citation position over time. GeraReach automates exactly this measurement across a portfolio.

Can a small business get found by AI before a big competitor?

Yes, and more reliably than in classic SEO. AI assistants weight answer quality and relevance heavily, not just domain size. A focused, well-structured, frequently-updated page on a narrow topic can be cited ahead of a large but generic competitor page. Topical depth and freshness are the small-business advantages.

Make AI your acquisition channel

GeraReach runs all 20 AI acquisition channels and tracks AI mention and citation rates so you can see what is working.