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SEO and AI Search Visibility

Work that helps your company appear in Google results and in the answers ChatGPT, Perplexity, Gemini, and Copilot give when buyers ask about your category.

Who this is for

  • Marketing leaders at industrial and supply chain technology companies who need to appear when buyers research their category, in Google and in AI assistants.
  • Companies whose buyers are technical evaluators and hands-on practitioners. They research on their own for weeks and arrive at a shortlist before anyone talks to sales.
  • Teams watching traffic from classic search flatten while more buyers ask assistants for vendor recommendations.
  • Companies that invested in SEO years ago and have not updated their content for how AI answers select and cite sources.

What you are running into

Missing from the AI answer

When a buyer asks ChatGPT or Perplexity which vendors fit their use case, competitors come up and you don't. Assistants rarely explain why they named one company over another, so there is nothing obvious to fix.

Content buyers skip

Your site has product pages and blog posts, but technical buyers skim past generic marketing copy. They look for specs, comparisons, and application notes, and leave when they can't find them.

A site that works against itself

Slow pages, duplicated templates, and thin structure make it harder for search engines and AI assistants to read your site. Good content underperforms because of problems underneath it.

AI visibility you can't measure

Rank trackers show classic results only. Nobody on your team can say whether assistants name you, cite you, or recommend a competitor instead.

What's included

  • Technical SEO and site structure
  • Answer engine optimization (AEO) content
  • Generative engine optimization (GEO) and AI citation tracking
  • Monthly reporting on rankings, AI citations, and visibility

How we approach it

The same sequence on every account, adjusted for your product lines and sales cycle. You keep admin ownership of your ad accounts throughout.
  1. Step 01

    Find how buyers actually ask

    We research the questions technical buyers, operations leaders, and procurement type into Google and AI assistants — by category, product, standard, and problem — and build the plan from that language.
  2. Step 02

    Fix what blocks you from being found

    Technical corrections come first: site structure, page speed, crawl paths, and schema, so engines and assistants can read every page you want counted.
  3. Step 03

    Build content worth citing

    Pages that answer real buying questions with specifics — comparisons, application notes, standards — written so AI answers can quote them accurately.
  4. Step 04

    Track visibility and keep building

    Each month we track rankings and AI citations, refresh what has slipped, and close gaps with new pages. You see movement in both classic and AI surfaces.

Questions about SEO & AI Search Visibility

What is the difference between SEO, AEO, and GEO?

SEO helps pages rank in classic search results. AEO structures content so it appears in featured answers on the results page. GEO earns citations inside AI assistants like ChatGPT and Perplexity. We run them as one program, because buyers move across all three.

How do you measure visibility in AI answers?

We run a fixed set of buyer questions through the major assistants every month and record whether your company is named and cited. That count, alongside classic rankings and CRM data, becomes your visibility report.

Talk to a specialist about your pipeline