Silent Exclusion: Why Qualified AEC Firms Disappear From AI Search Results
Michael Etheredge is VP of Product Development at QuestionFuel, where he leads how the firm measures and corrects the way AI answer engines describe companies. He was featured by the Southern Economic Development Council on how AI is changing the way companies research communities and regions.
Answer engines tend to name the same shortlist of firms for buyer queries, and qualified mid market AEC firms often are not on it. QuestionFuel calls this pattern Silent Exclusion. Here is how it works, what the evidence shows, and how to test your own firm.
Key takeaways
- In QuestionFuel's testing, answer engines recommend a small, repeating set of AEC firms for most buyer queries, and qualified mid market firms often do not appear.
- Concentration like this has been measured in adjacent trades, where 5W estimated that about 87% of independent HVAC and plumbing contractors have effectively zero citation share in their own metro.
- Silent Exclusion has two parts: absence from generic queries, and an outsider framing when a firm is asked about by name.
- A free, logged out test with two steps shows whether your firm has the problem, but one run is one sample.
Quick answer: In QuestionFuel's testing, answer engines like ChatGPT recommend a small, repeating set of firms for most "best [service] firm" queries, and qualified mid market AEC firms often do not appear at all. We call this Silent Exclusion. It reflects how answer engines retrieve and weigh information, not a firm's capability.
What is Silent Exclusion?
Silent Exclusion: when a qualified firm does not appear in answer engine responses to relevant buyer queries, and when asked about directly, is framed as an outsider or challenger relative to a small, repeating shortlist of incumbents, despite no factual basis for that framing.
This is different from a firm simply losing a pitch. It happens upstream, before a firm gets a seat at the table, because the answer engine a buyer consulted never surfaced the firm as an option. It is the AEC version of the pattern we describe in Silent Exclusion, and it can occur together with AI Narrative Drift.
AI Narrative Drift: the gap between what is currently true about a company and what answer engines say about it, because those answers update slowly and imperfectly when facts change.
The two are different failures. Silent Exclusion is absence or an unsupported outsider framing. AI Narrative Drift is the firm appearing with outdated or wrong facts.
Why do answer engines default to the same firms?
The concentration has been measured in adjacent industries. 5W, a communications agency, published an HVAC and Plumbing AI Visibility Index in 2026 based on first quarter 2026 testing of more than 65 consumer and trade intent prompts. It estimated that three national service brands account for about 19% of HVAC and plumbing consumer intent citations, and that about 87% of independent contractors have effectively zero citation share in their own metro and category. These are 5W's estimates for home services trades, not for AEC, but they show the shape of the problem.
Research on how content earns visibility points the same way. The paper that introduced the term Generative Engine Optimization, Aggarwal et al., presented at KDD 2024, found that methods such as adding citations, quotations from relevant sources, and statistics can boost a source's visibility in generative engine responses by up to 40%. Visibility depends on how content is written and sourced, not only on how it ranks.
We ran the same style of test in civil engineering. On September 20, 2026, we asked four answer engines for "best civil engineering firms in North Carolina," and they returned a similar shortlist. Regional queries narrow a national list to a regional one, but the same handful of names kept surfacing. Our working explanation is that answer engines weigh domain authority, third party citation density, and existing entity recognition more than project quality or client fit. We have not isolated the cause.
| Firm | Headquarters | Primary Practice Focus |
|---|---|---|
| Kimley-Horn | Raleigh, NC | Transportation, land development, water resources |
| WithersRavenel | Cary, NC | Multidisciplinary civil engineering, water and wastewater |
| McAdams | Raleigh, NC | Civil engineering, land planning, landscape architecture |
| Stewart | Raleigh, NC | Civil engineering, transportation, structural |
| McKim & Creed | Raleigh, NC | Civil, water and wastewater, geomatics |
These are the names that surfaced most often in that September 2026 test. Shortlists vary by engine and across repeat runs, and the Site Selectors Guild found that the same question asked repeatedly returned different shortlists in its own test of location questions. Treat this table as an illustration of concentration, not a ranking. A qualified firm outside it is not necessarily less capable. It may simply be less visible to the answer engine generating the answer.
What does Silent Exclusion look like on a real firm?
On the same day, we tested this pattern against a real mid market AEC firm: more than a century old, employee owned (ESOP), with a genuine municipal water and wastewater practice and an active "outsourced city engineer" book of business.
In a generic query, "best NC firms for municipal water and wastewater," the firm did not appear in any of the four answer engines we tested.
When we asked about the firm directly, by name, every engine described its services accurately. But every one also independently framed it as "out of market," a "challenger," or lacking "home field advantage" relative to the same three or four incumbent names. That framing had no basis in the firm's actual track record or credentials.
| Query type | Did the firm appear? | How answer engines framed the firm | Factual basis for the framing |
|---|---|---|---|
| Generic ("best NC firms for municipal water and wastewater") | No. Absent from all four engines. | Not mentioned | Not applicable |
| Direct ("What does [the firm] do?") | Yes. Services described accurately. | "Out of market," "challenger," lacking "home field advantage" | None. It contradicted the firm's actual track record. |
That is the mechanism in full: absence on the generic query, and an unsupported outsider framing on the direct one.
Why does this matter for mid market AEC firms?
Business buyers broadly are using AI in their purchasing. Forrester reported in January 2026 that 94% of business buyers used AI in their buying process. We did not find published data on how often owners and developers use answer engines to build an AEC shortlist before an RFP, so treat that part as a reasonable concern, not a measured rate.
If a firm is left off the first shortlist, or quietly discounted when it does come up, there is no debrief, no feedback, and often no awareness that it happened. That is what makes this different from traditional marketing visibility: a firm can do everything right in the market and still be invisible to a tool that buyers consult first.
How can you check your firm's AI visibility?
Run a two step test in a private browsing window, logged out of any account. Saved chat history and account memory can shape answers, so testing logged out is the closest match to what a first time buyer would see. Our full method is in How to Audit Your AEC Firm's AI Visibility: A Step by Step Test.
- •Ask a generic query. Ask ChatGPT and Google AI results a question a buyer would use, naming your service line and region but not your firm.
- •Ask about your firm by name. Compare the framing, not just the facts.
If your firm is absent in step one, or described as an outsider in step two despite accurate facts, you may be seeing Silent Exclusion.
What are the limits of this test?
One run is one sample, and both tests above are snapshots from September 20, 2026. Answer engines can return different results for the same question, as we explain in Why Does ChatGPT Give Different Site Selection Shortlists to the Same Question?. Run each question several times, record the range, and repeat the test every quarter.
What should you do if your firm shows Silent Exclusion?
Running the test tells you whether the problem exists. Fixing it is a different job. It involves how your firm's credentials, project history, and third party coverage are structured across the web, so answer engines recognize your firm as a peer of the incumbents and not an outsider. No one can guarantee a specific answer.
QuestionFuel helps AEC firms with this. See our page on AI visibility for architecture, engineering, and construction firms, or run your firm through the QuestionFuel AI Visibility Scorecard.
Frequently asked questions
Is Silent Exclusion the same as bad SEO?
No. Traditional SEO affects Google rankings. Silent Exclusion is about whether answer engines surface and fairly frame a firm when they write a direct answer, which depends on different signals, including third party citation density and entity recognition, not only on page keyword optimization.
Can a firm fix Silent Exclusion on its own?
Partially. Increasing legitimate third party coverage and stating your credentials clearly across the web can both help. Because the pattern depends on how answer engines weigh existing authority, most firms need a structured, ongoing approach, and the effect should be measured by repeating the test.
Does this only affect construction and engineering firms?
No. We have seen the same pattern in other business to business categories. AEC is a clear example because buyer research so often starts with a "best firms near me" style query.
What is AI visibility?
AI visibility is how accurately, completely, and favorably a company appears when answer engines like ChatGPT and Google AI results answer questions relevant to the company's market. Silent Exclusion and AI Narrative Drift are two common ways it breaks down for a qualified firm. See what AI visibility means for a fuller definition.
Sources and references
- •5W, HVAC and Plumbing AI Visibility Index 2026, first quarter 2026 testing
- •Aggarwal et al., GEO: Generative Engine Optimization, KDD 2024
- •Forrester, blog post on zero click buying and AI use among business buyers, January 2026
- •Site Selection Magazine, AI Challenges Traditional Site Selection, November 2024
Related reading: How to Audit Your AEC Firm's AI Visibility: A Step by Step Test · Why Your Company Might Be Invisible to AI, Even If Your SEO Is Perfect · AI Visibility for Architecture, Engineering, and Construction Firms