Straight answers about SEO, AI search, and websites.

Does a B2B company need both SEO and AI SEO? Yes, but not as two separate projects. Treat them as one visibility strategy, because most of the work overlaps.

B2B buyers still use Google to research a problem, compare solutions, and check out providers. More and more, they can ask ChatGPT, Perplexity, or Google's AI features the same questions. That adds a layer. It does not replace search.

The foundation is shared. Pages that search engines can reach and read. Clear facts about who you are and what you sell. Strong commercial pages. Useful answers. Real authority, and credible mentions on other websites.

So what does AI SEO change? In our experience, it changes four things more than it changes the fundamentals.

First, research. Alongside the keyword list, we map the prompts your buyers ask AI tools. Which companies get recommended? Which sources get cited? Where do competitors show up when you don't?

Second, retrievability. We make important facts and answers easier for AI systems to find and understand. That can mean clearer passages, direct answers to buyer questions, and consistent details about the business across the site.

Third, outside sources. Backlinks still build search authority. But the publications, directories, and comparison sites that keep showing up around your buyers' prompts also shape who gets recommended. So we look at those too.

Fourth, measurement. We track a fixed set of buyer prompts over time, not one-off screenshots or a single visibility score. For each answer, we record whether your brand is mentioned, whether it is recommended, what gets cited, and which competitors appear. Answers vary between runs, so important prompts get checked more than once.

We also keep one thing straight. An AI mention is not a lead, and a citation is not revenue. Where the data allows it, we follow the chain from visibility, to a visit or brand discovery, to a lead, to a qualified opportunity, to revenue. Attribution is imperfect. We would rather say that than invent a link that isn't there.

If you already invest in SEO, the goal is to keep what works and add the missing AI search layer. If you are starting from scratch, we build the fundamentals first and measure AI visibility from the beginning, instead of bolting it on later.

We're Stijg Media, a digital marketing agency in Massachusetts. For clear help with SEO, AI search, and your website, visit stijgmedia.com.

How do you track AI visibility? Do not trust one score. Track mentions, citations, impressions, referral visits, and business results as separate signals.

Start with twenty to thirty questions that your buyers already ask. Pull their words from sales calls, contact forms, support messages, customer interviews, and Search Console queries. Keep branded questions apart from non-branded questions. One tests what an AI tool says about a known company. The other tests whether that company gets discovered.

Save this first prompt list and keep it fixed. Run each prompt more than once when you build the baseline. Use a new chat each time, since earlier messages can shape later answers. Record the prompt, tool, date, location, account state, full answer, and every cited source.

The result is a sample, not a fixed rank. An answer can change when you repeat the question, or when the model, location, account, date, or earlier messages change. Pick the two or three tools your buyers are most likely to use, then repeat the same test on a set schedule.

Next, read the answers. A brand mention can still be weak or wrong. Track whether your brand appears, whether it ranks as a top pick, whether the answer cites your site, which competitors appear, and whether the details about your services and locations are right. Keep the raw answers because a score can hide why a result changed.

Add data from the platforms when you have it. Google Search Console can report AI impressions, while Bing Webmaster Tools can report citations. Treat both as exposure, not as visits or sales.

Then check what happens on your site. In Google Analytics, review visits from recognized AI tools, landing pages, engaged sessions, form submissions, demo requests, and sales. Referral data will miss people who remember your name and return another way, so ask new leads an open question: How did you first hear about us?

Put these signals into one monthly report, but keep each measure separate. Note any change to the prompt set, model, or tracking setup. Note what your team published or fixed. After four weeks, run the same checks again. You will see where your brand appeared, what the answer said, who reached your site, and whether it helped the business.

We're Stijg Media, a digital marketing agency in Massachusetts. For clear help with SEO, AI search, and your website, visit stijgmedia.com.