Why Your Blogs Are Not Getting Regular Traffic
Using the Authority Triangle to get more traffic
I find most industrial and technical SMEs publish blogs that nobody can trace back to a human being. No byline, or a byline that leads nowhere. No author page. No connection between the person writing about pressure vessel design and the person posting about pressure vessel design on LinkedIn three times a week.
Google notices. So do the AI platforms. And the gap between what your people actually know and what your website proves they know is quietly costing you organic traffic. I wrote about the
overhype of AI search - but all of this is basic SEO, although it is not widely done very well
The Problem and What It Costs You
The problem is not that your content is bad. In most cases it is perfectly competent.
That is exactly the difficulty. Anyone can produce a serviceable 1,200 words on any topic in about four minutes. Competence stopped being a differentiator the moment AI made it free. So the platforms have leaned harder on the signals that are difficult to fake - who wrote this, what did they actually source, and can any of it be corroborated anywhere else.
Most technical SME sites answer none of those questions. The blog is credited to the company, or to nobody, or to a name that is not a link to anything. The expertise is real. It is simply invisible.
The consequences arrive slowly, which is why they get missed.
Your blogs rank, but only for terms nobody is competing on. They do not get cited in AI answers, so when a buyer asks ChatGPT for a shortlist of suppliers, someone else appears. Your best engineers write LinkedIn posts that 400 people read and then forget, because nothing connects those posts back to the site. Meanwhile a competitor with weaker engineering and better structure is being described to your prospects as the credible option.
You are paying to produce expertise that the search engines and answer engines cannot attribute to anyone. That is the gap. Not writing quality. Verifiability.
The Solution Brief
Before the detail, here is the whole argument on one page.
Search and AI platforms now reward content they can trace to a credible, identifiable human. The mechanism that makes that possible is a connected system we call the authority triangle - blog, profile and post - held together by one consistent named identity that appears both on your website and on LinkedIn.
- Fix authorship first - named bylines linked to real profile pages
- Build the profile in both places - author page on the site, matching LinkedIn profile
- Run a consistent LinkedIn posting rhythm from your experts
- Cite original sources only, and drop anything you cannot verify
- Link blogs to relevant case studies as proof of experience
- Structure content as hubs and spokes, properly interlinked
- Treat schema as hygiene, not a visibility lever
- Maintain your best content on a review cycle
The rest of this article explains why each of those matters, what the evidence says, and the order to do them in. For the wider case that good SEO still wins in the AI era, see our companion piece on the
AEO and GEO hype.
What Happened When I Applied This to My Own Site
I have been telling clients how to structure their blogs, connect them to a named author and tie that author to a LinkedIn presence for a while. Inevitably, they have their own ideas.
So earlier this year I applied the full method to my own site rather than continuing to argue about it.
Four blogs in, written across roughly two months, the site's organic traffic went up eleven times - effectively overnight. It was not spread evenly across the site. It came from the blogs I had written. I had hit on something.
Yes lots of it came from one article that went a bit viral, but each subsequent article ranked on to the first page (average position of less than 10) in a few days after submitting it and got regular traffic there after - from both Google and AI platforms. That was like night and day to the previous year of blogs I wrote which hardly got any traffic!
I want to be careful about what that does and does not prove. It is one site, in one niche, over a short period, from a modest base. It is not a controlled study and I would not present it as one. But the pattern was unambiguous, and it matched the research exactly. The blogs that moved were the ones with a named author, a linked profile, original citations and LinkedIn activity behind them.
That is the same discipline this article argues for - so I will apply it here too and cite every claim to its original source.
E-E-A-T and the Authority Triangle
Google evaluates content against a principle it calls E-E-A-T - Experience, Expertise, Authoritativeness and Trustworthiness. It is not a single score or a ranking factor you can switch on. It is a set of signals its systems and human quality raters use to judge whether content comes from someone who genuinely knows the subject.
The critical word for technical SMEs is the first E. Experience. Google wants evidence of first-hand, real-world involvement - the person who has actually specified the system, run the process, made the mistake and learned from it. That is precisely what your people have and your competitors' content farms do not.
The question is how you make that experience legible to a machine. This is where the authority triangle comes in.
The three points
- Blog - the content itself, published on your site
- Profile - the identity of the person who wrote it
- Post - that person's ongoing activity, primarily on LinkedIn
Each point strengthens the other two. The blog demonstrates expertise. The profile attaches that expertise to a real, named person. The post proves the person is active, current and recognised in the field. Remove any one point and the structure collapses into unverifiable content.
Why the profile spans two places
The profile is the connective tissue, and it deliberately lives in two locations.
On your website, it is the author page - the byline links to it, and it carries the person's credentials, background and relevant experience. On LinkedIn, it is the same person's profile, where their posts live and where, crucially, the AI platforms are already looking.
The name, the role and the expertise must match across both. When they do, the platforms can connect the blog on your site to the active professional on LinkedIn and treat them as one credible identity. When they do not - different name, no author page, dormant profile - there is nothing to connect, and the expertise stays invisible.
The one thing companies never get to
In fifteen years of doing this, the profile is the piece almost every company skips.
They will commission the blog. They will, eventually, post on LinkedIn. But the author page - the profile that connects the two - gets treated as a nice-to-have. Something for the "about us" tidy-up that never happens.
It is not a nice-to-have. It is the single component that connects the expertise to the content. Without it you have a blog nobody can attribute and a LinkedIn profile nobody can tie to your site. Two assets doing half the work each, when the profile would make them compound.
Authorship - Making the Profile Real
Google's guidance on helpful content asks three questions directly. Is it self-evident to visitors who authored your content. Do pages carry a byline where one might be expected. Do bylines lead to further information about the author, giving background about them and the areas they write about.
Most technical SME sites fail all three. Fixing it is an afternoon of work per author.
- A named human byline on every substantive blog
- That byline linked to an author page, not the About page
- An author page carrying credentials and relevant experience
- A link from the author page to the person's LinkedIn profile
- Links from the author page to relevant case studies
- The same name spelled the same way everywhere
That fifth point is where the profile stops being a static bio and starts pulling its weight - which brings us to evidence.
Case Studies - The Experience Half of E-E-A-T
If authorship proves who wrote something, case studies prove they have actually done the work. They are the most direct evidence of the "Experience" that E-E-A-T rewards, and most SMEs leave them stranded on a page nobody links to.
Connect them into the triangle instead.
- Link from a blog to a relevant case study wherever the blog makes a claim the case study demonstrates
- Link from the author's profile page to the case studies they led or contributed to
- Reference the same work in LinkedIn posts, pointing back to the site
A blog that says "we systemised a technical SME's content and traffic rose sharply" is an assertion. The same blog linked to the case study that shows it is evidence. The platforms, and your buyers, treat the two very differently.
Done properly, a case study earns its place at every point of the triangle - cited by the blog, showcased on the profile, referenced in the post. That is one asset doing three jobs.
Original Citations, Not Second-Hand Ones
Here is a live example of the problem, found while researching this article.
There is a widely repeated claim that pages without named authors are 40% less likely to be cited by AI. It appears across multiple SEO blogs. Chase it back and there is no study. It is a number that has been quoted, requoted and eventually laundered into fact.
That is what most blog citations now look like - a blog citing a roundup citing a summary of a study nobody has actually read.
Why second-hand sourcing damages you
The claim mutates at each hop, so what you publish may not be what the researchers found. You inherit any error in the chain without knowing it. And you position yourself as a repeater rather than a source. That last one matters most - if AI platforms are choosing sources to cite, and your content is visibly downstream of someone else's, there is no reason to cite you instead of them.
What a good citation looks like
- Name the publisher, not the aggregator
- State the sample size and the date
- Link to the study, not a summary of it
- Include the caveats the researchers included
- Drop anything you cannot verify
A blog with four defensible statistics beats one with fifteen borrowed ones, every time.
LinkedIn - Where the Post and Profile Get Cited
This is where the evidence is strongest, and where the LinkedIn half of the triangle earns its place.
Semrush analysed 325,000 prompts and 89,000 cited LinkedIn URLs across ChatGPT Search, Google AI Mode and Perplexity in early 2026, working directly with LinkedIn. LinkedIn came out as the second most-cited domain in the dataset, appearing in 11% of AI responses on average - ahead of Wikipedia,
YouTube and every major news publisher.
Three findings matter for a technical SME.
Individuals outrank company pages on two platforms out of three
ChatGPT Search and Google AI Mode cite individual members 59% of the time. Perplexity flips it, citing company pages 59% of the time. You need both - but the personal profile is the stronger half on the two platforms with the larger share of use. This is the profile point of the triangle, doing its work on LinkedIn rather than on your site.
You do not need to go viral
The median cited post had between 15 and 25 reactions and no more than one comment. Around three-quarters of cited authors were frequent posters - five or more posts in four weeks. Consistency does the work, not reach. That kills the most common objection I hear, which is "we have no audience, so there is no point posting."
Our LinkedIn posting guide covers the rhythm and format side of that in detail.
Original and educational content wins
Roughly 95% of cited posts were original rather than reshares. Between 54% and 64% were knowledge or advice-driven. Articles between 500 and 2,000 words were cited most often. The study also found AI responses mirror the meaning of cited LinkedIn content closely, with semantic similarity between 0.57 and 0.60 - higher than Reddit or Quora. Your wording carries through into how you are described.
So the triangle closes. The profile establishes who the person is, on the site and on LinkedIn. The posts prove they are active and corroborate the identity on a domain the platforms already trust. The blog and the posting reinforce each other rather than running as two separate campaigns.
This is exactly why
our LinkedIn work and our SEO work are not sold as separate things.
Structure - What Helps and What Is Oversold
This is where the industry has been confidently wrong, and where you can save money by ignoring some popular advice.
Internal links, hubs and spokes
Google's AI features guidance explicitly lists internal linking among the fundamentals that continue to matter - making content findable through internal links on your site.
A hub page covers a topic broadly. Spoke articles go deep on one element and link back. This article is a spoke off our AEO and GEO hub. The structure signals topical depth rather than scattered opinion, and it keeps readers moving through your site rather than bouncing. For a technical SME the mapping usually writes itself - your service areas are your hubs, the specific problems customers ask about are your spokes.
FAQs
Google removed FAQ rich results from search on 7 May 2026. Search Console reporting and Rich Results Test support followed in June, and API support in August.
FAQPage remains a valid Schema.org type and existing markup causes no problems. But the SERP prize is gone. Keep FAQs because they answer questions your buyers actually ask, in visible text, in their language. That is where the value now sits, and always should have.
Schema markup
This one deserves care, because the advice you have probably been given is wrong.
Ahrefs analysed six million URLs and found AI-cited pages were nearly three times more likely to carry JSON-LD - the correlation everyone quotes. Then they tested causation properly, tracking 1,885 pages that added JSON-LD against 4,000 matched control pages. No meaningful uplift on any platform. AI Mode moved 2.4%, ChatGPT 2.2%, both indistinguishable from noise, and
AI Overviews actually declined 4.6%.
Ahrefs are honest about the limit, and so should we be. Every page tested already had 100 or more AI Overview citations, so this shows schema does not lift already-visible pages. It does not tell us whether schema helps a page get discovered. Google's own position agrees - no special schema.org markup is required for its generative AI features, though standard structured data is worth having for rich results eligibility.
Treat schema as hygiene. Have it, keep it accurate, make sure it matches your visible content. Do not buy it as an AI visibility lever.
Freshness - Publishing Is Not Finishing
Ahrefs examined nearly 17 million cited URLs across ChatGPT, Perplexity, Gemini, Copilot, AI Overviews and organic results. AI-cited pages averaged 1,064 days old against 1,432 days for organic results, around 26% fresher. ChatGPT showed the strongest preference, citing content 458 days newer than organic.
Two caveats from the same study. The average cited page is still nearly three years old, so depth and authority still carry weight. And Google's AI Overviews are the exception, citing content marginally older than organic.
- Review your highest-value blogs quarterly
- Update statistics when newer originals exist
- Revise anything overtaken by a platform change
- Add a visible last-updated date
- Never change the date without changing the content
That last point is not optional. Google's John Mueller has warned specifically against updating publish dates with no corresponding change to the page. This article is a case in point - the FAQ position changed in May 2026 and the schema evidence landed weeks later. It will need revisiting the moment the next study lands.
The Order of Work
Sequence matters more than effort.
- Add named bylines and build profile pages
- Link each profile to its LinkedIn counterpart and to relevant case studies
- Get your experts posting weekly - original and educational
- Fix your citations and drop what you cannot verify
- Map your hubs and spokes, then link them properly
- Set a quarterly review cycle for your best content
- Sort your schema once, then stop thinking about it
The order is deliberate. Authorship, profiles and LinkedIn compound over months, so they go first. The technical work is largely a one-off, so it goes last. Most agencies sell you that list backwards, because the technical work is easier to invoice.
If you want to work out where you currently sit before committing to any of that, the Authority Triangle Audit scores all seven items above plus eleven more.
What This Means for You
If you are an owner-MD, this is a control problem. You are already paying for content that cannot be traced to the expertise you employ. The fix costs very little and it is entirely within your gift.
If you run commercial or operations, this is a systems problem, and a simple one. Profile pages, a posting rhythm, a citation standard, linked case studies and a review cycle. Each can be documented and handed over.
None of it is a hack. It is the same principle we apply to everything - simple, strategic, systemised and scalable. Your engineering is traceable, documented and signed off by named people. Your content deserves the same discipline.
FAQ
Isn't this just SEO with a new name?
Largely, yes - and that is the point. Google treats AEO and GEO as part of SEO rather than separate disciplines. What has changed is the weighting. Authorship, source quality and content freshness now carry more weight because they are harder to fake than keyword placement. The fundamentals have not been replaced. The bar has moved.
Should we credit blogs to the company instead of a person?
No. Company bylines and generic credits like "the team" give search engines and AI platforms nothing to connect. Name the person with the expertise, even if someone else did the writing and they reviewed it. If ownership is a concern because staff move on, keep and archive the profile page rather than deleting the person's history.
Do we need a LinkedIn company page or personal profiles?
Both, but weight towards people. ChatGPT Search and Google AI Mode cite individual members 59% of the time, while Perplexity favours company pages at the same rate. The company page is your positioning anchor. The personal profiles are what actually get cited on the platforms with the larger share of use.
Should we remove our FAQ schema now that rich results have gone?
No. FAQPage remains a valid Schema.org type and Google has said unused structured data causes no problems for Search. Leave it in place where it accurately describes visible content. Only remove it where the markup references content that no longer exists, or where the section was thin and only added to win the SERP feature.
How often should we update old blogs rather than write new ones?
Review your top performers quarterly and update where the substance has genuinely changed - new data, changed platform behaviour, superseded advice. Everything else can go annually. Ahrefs' own conclusion was that most brands see better returns from strong new content than from very frequent updating, so treat maintenance as a discipline rather than a strategy in itself.
Is it worth doing this if we only publish once a month?
Yes, if it is consistent. The median cited LinkedIn post had just 15 to 25 reactions, so volume and virality are not the drivers. A monthly blog with a named author, a linked profile, original citations and a supporting LinkedIn rhythm will outperform weekly anonymous content.
Ready to find the gaps in your own content? An 18-point self-check across all six areas covered in this article. It takes about ten minutes and tells you exactly where your triangle is leaking.
Alternatively,
our sales and marketing strategy work starts by establishing where the gaps actually are before anything gets built.
Written by
Stefan Buss, founder of Sales & Marketing Engineers. With a background in industrial engineering, having run an exhibition production company for over 7 years and 8 years of agency experience, Stefan brings an engineer's precision to AI adoption decisions.
