SmartSites Appears in 75.0% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, SmartSites appeared in 507 of 676 AI answers included in the Digital Marketing Agency benchmark (75.00%). It received 316 recommendations (46.75%), with 186 Top 3 placements and 113 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

• How do SmartSites mentions, recommendations and placements compare with its Digital Marketing Agency peers?

SmartSites recorded 507 mentions (75.00%) and 316 recommendations (46.75%) across 676 answers included in the benchmark. Top 3 placements numbered 186; first-place recommendations numbered 113. Framing among its mentions was 348 positive, 153 neutral and 6 negative.

SmartSites is the clear leader in this benchmark, appearing in three of every four answers and earning an affirmative recommendation in nearly half. Its nearest competitor trails by a wide margin on every measure, so the practical question is not whether SmartSites is visible but whether that lead is built on accurate, well-sourced claims.

Placement is strong but not dominant: most recommendations land in the top three, and a smaller group take first place. That gap is where the agency can add value, by strengthening the evidence AI systems draw on rather than chasing raw mention volume.

Framing is overwhelmingly positive or neutral, with only a handful of negative mentions. Positive wording alone does not equal endorsement, so the recommendation rate deserves its own attention. We would treat the current position as a baseline to protect and verify, not a result to celebrate.

What changed since last month

Questions This Section Answers

• How did SmartSites counts and coverage differ across the available monthly snapshots?

From October 2026 to November 2026, SmartSites' mention count rose from 440 to 507, while its recommendation count fell from 414 to 316. The recommendation rate was 67.76% and 46.75% respectively.

The monthly record shows a genuine split: mentions climbed to their highest level in the series while recommendations fell sharply from the prior month. Top-three and first-place counts also dropped. These are separate observations, and the report does not establish why any of them moved.

Each month is its own sample with different answer coverage, so month-to-month rates are not strictly like-for-like. The movement is worth investigating, but it should be read as a signal to examine, not a verdict on any change in company standing.

We would use the next scorecard to track mentions and recommendations side by side, so the client can see whether the divergence persists across comparable samples before drawing conclusions.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for SmartSites?

AI answers contained 13 conflicting claims about SmartSites: 0 critical, 0 high, 10 medium, 3 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

The benchmark surfaced a modest set of conflicting claims about SmartSites, mostly rated medium priority. None were rated critical or high, which means the fact-checking workload is manageable and can be sequenced rather than rushed.

A visibility comparison paired with a prioritized claim list would let the client see where its answer presence is strongest and which disputed statements most deserve attention first. Severity ratings guide order of work; they do not prove that any company or publisher got something wrong.

We would build a scorecard that pairs each disputed claim with its source, date and owner, so the client can decide what to verify before anything is corrected.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about SmartSites should be verified before proposed page edits?

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

The disputed claims cluster around one topic: the monthly starting price for PPC management. The recorded answers give several different figures, and the pairs conflict with each other rather than with a single verified company statement.

Different publication dates or service tiers could explain an apparent conflict, so the entity, date and source need resolving before any correction is considered. We would not assume the website is wrong or that an AI answer is right.

Proposed work is a verification pass against current primary sources, followed by conditional page briefs only where a genuine inconsistency is confirmed. Where the facts hold up, the brief records a no-change decision instead.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for SmartSites?

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

The cited pages selected for review range from directory profiles and review blogs to a community thread and a logo site. Several carry multiple conflicting claims, but a page linked to a claim is not necessarily its cause, and the same answer can touch more than one page.

Before any outreach, each page's current contents need checking against primary sources. Where a genuine error is confirmed, we would prepare an evidence-backed request; where the page is accurate or the claim is unverifiable, we would record that decision and leave it alone.

Publisher review is proposed work, not an assumption of control. Requests may be declined, and responses should be logged separately from confirmed edits.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed SmartSites website pages should receive review briefs?

The company's website was cited 73 times across 24 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The company's own website is the most-cited source in the captured answers, with the homepage carrying most of that weight. A long tail of other pages, including team and work pages, appears far less often.

That concentration suggests the homepage is doing most of the explanatory work. Page briefs would give priority pages approved facts and clear answers to the questions buyers actually ask, starting with the pages already being cited.

A cited page is not automatically a page that accompanied a recommendation, so briefs should be judged on accuracy and usefulness first. We would check existing coverage before proposing any new page.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for SmartSites?

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions are broad category queries: best SEO firms, best digital marketing companies, best agency in the USA, best PPC agency. SmartSites appears in nearly all of them and is recommended in most, which shows the brand is already in the consideration set for these prompts.

These are answer observations, not search volume or proof of missing website content. The opportunity is to make the company's own pages the clearest, best-evidenced answer to those same questions.

We would draft buyer-question content briefs around these themes, checking existing pages first and reusing approved facts rather than inventing new claims.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed SmartSites work and judge completion?

The first month establishes the baseline: a scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner, evidence requirement and review status. Nothing is corrected until verification is complete.

The second month turns confirmed findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses logged separately. The third month adds buyer-content briefs and a fresh scorecard.

Delivered work is recorded separately from measured answer outcomes. Completing a brief or sending a request does not guarantee a change in visibility, and the plan should be judged on work completed and evidence quality.

Methodology

Questions This Section Answers

• How are SmartSites answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 676 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 710 captured answers and 4512 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The report covers a single reporting month, and the exact dates the original answers were collected have not been verified. Visibility rates rest on answers that met the benchmark's inclusion rules, and a recommendation requires both endorsement and positive wording.

An answer can mention several companies, so company counts cannot be added to find distinct answers. Sentiment describes answer wording, not customer satisfaction. Citation appearances differ from benchmark citations and from recommending answers.

Monthly samples differ, so comparisons show how recorded results changed, not why. Cited pages and disputed claims still need independent verification.

Our first three priorities

First, verify the PPC pricing claims against current primary sources before any correction is considered, and record a no-change decision where the facts hold. This is the most concrete, bounded piece of work in the evidence.

Second, prepare page briefs for the homepage and the other cited company pages, using approved facts and the buyer questions already observed. The aim is accuracy and clarity, not new claims.

Third, build the buyer-question content briefs and a fresh scorecard so the client can watch mentions and recommendations together across comparable samples. Each step has a named owner and a clear completion criterion.