Most B2B SEO teams are doing the wrong thing when they try to improve their AI search visibility. They're making their own content better - more structured, better formatted, richer schema - and finding that it doesn't move the citation rate much. The reason is that they're optimising the wrong surface.
LLMs don't primarily cite a brand because that brand's website is well-organised. They cite a brand because other sources (sources they weight as reliable) have already said something coherent and repeatable about it. Your own site confirms. It rarely establishes.
Your own site confirms. It rarely establishes.
The definition
Source-worthiness is the property of being the kind of source a model is likely to draw from when constructing an answer. It is distinct from domain authority (a link-graph metric), from content quality (a relevance metric), and from E-E-A-T (an editorial signal). It is the combination of: being present on surfaces models weight highly, saying consistent and specific things on those surfaces, and being corroborated by other sources that are themselves source-worthy.
Why the distinction matters
The interventions are different. Improving domain authority means acquiring links. Improving content quality means editing your pages. Improving source-worthiness means changing where your brand appears and what it says when it appears there - mostly off your own site.
For a concrete introduction to how this fits into a broader GEO strategy, the post on the B2B GEO roadmap covers the high-level pattern. This post goes deeper on the off-site layer specifically.
Across the audits I've run, brand citations correlate most strongly with presence across five distinct source categories. The five are not equally weighted by all models, and the weighting shifts depending on the query type, but the brands that get cited consistently tend to have a meaningful presence in all five.
The most common gap in audits is reference sources, specifically Wikidata. Most B2B SaaS brands over-index on owned (their own blog and product pages) and under-invest in everything else. The editorial and community categories are what most move citation rates in practice.
A basic source-worthiness audit takes two to three hours and gives you a clear picture of where your gaps are. Here is the process I use:
- Reference check. Search your brand name on Wikipedia. Does a page exist? Does it describe your current product and positioning accurately? Check Wikidata: is your entry complete (industry, founder, founding date, headquarters, website)? Are the descriptions in both consistent with how you describe yourself on your homepage?
- Editorial check. Pull every editorial mention of your brand in the last 24 months from credible trade and tech publications. Not press releases. Not guest posts on low-authority sites. Genuine editorial coverage. How many pieces? What category do they put you in? Is that consistent with how you describe yourself?
- Community check. Search Hacker News and relevant subreddits for your brand name. Are there organic discussions? What do people say? This is also useful competitive intelligence. If your competitors have active HN threads and you don't, that's a gap.
- Document check. Are there publicly accessible transcripts, research papers, or analyst notes that name your company? Conference talks from your team with transcript indexing?
- Owned source check. Of your best-traffic content pages: how many have named human authors? How many have structured Article schema with a Person author block? How many make specific, verifiable claims vs. general value proposition statements?
Score each category 0-2: 0 = absent or actively contradictory, 1 = present but thin or inconsistent, 2 = strong and coherent. A total score of 8-10 is the baseline for consistent AI citations. Below 6 and you have structural gaps that no amount of owned-content optimisation will compensate for.
For a worked example of how this audit feeds into a broader entity coherence review, the post on entity coverage maps as a working template picks up where this one leaves off.
Building source-worthiness is slower than optimising a page. It requires genuine investment in editorial relationships, in community presence, and in the kind of original thinking that gets picked up by journalists and other writers organically. There is no shortcut that consistently works.
What actually moves the number
- Original research with a clear methodology, published under a named author. Even small-scale data becomes citable if it's specific and independently produced.
- Executive commentary in the trade press that takes a specific, non-obvious position. Bland thought leadership pieces don't build editorial source-worthiness.
- Genuine participation in communities, not "content seeding" but actual answers to actual questions in the places your buyers spend time.
What doesn't
- Paid placements dressed as editorial - models weight these less heavily and there is evidence they've learned to discount them.
- Manufactured community presence - getting caught content-seeding in a community is worse than not being there.
- FAQ blocks added to pages that don't have genuine topical authority - formatting intervention on a trust problem.
These are the inputs that build source-worthiness over 12-18 months. They are also, not coincidentally, the inputs that build a durable brand independent of any single search channel.