How AI Search Is Recommending Digital Marketing Agency: Monthly Trends

Executive Summary

SmartSites remains the category leader in valid recommendation coverage for digital marketing, holding 58.7% of qualified observations in August 2026, down 3.4 points from 62.1% in the July baseline. The gap to the next brand widened slightly, with SmartSites now 31.1 points ahead of the second-ranked brand. Despite the leader's decline, no brand moved far enough to challenge the top position this month.

The sharpest movement came from Cardinal Digital Marketing, which fell from 8.0% coverage in July to 5.1% in August, a decline of 2.9 points — the only movement this month large enough to fall outside the range of normal month-to-month variation. Cardinal's drop was driven by fewer valid recommendations, down from 46 to 30 observations, and a lower rank-one rate, which fell from 1.8% to 0.9%.

LYFE Marketing held the second position at 27.6% coverage, down 4.5 points from 32.1% in July, though this decline stayed within normal month-to-month variation. Grater Digital remained absent from AI recommendations at 0.0% for the second consecutive month, while AIS Media was the largest riser, climbing from 1.6% to 2.1% coverage on 12 valid recommendations, though this gain also stayed within normal variation.

SmartSites, LYFE Marketing, and M16 Marketing each recorded lower coverage figures this month, and AIS Media and Joseph Studios recorded modest gains. Only Cardinal's decline exceeded the range of expected month-to-month movement for its observation volume. Separately, the category's recommendation-shaped answer share rose from 38.9% in July to 46.2% in August, meaning a larger share of AI answers took the form of an explicit brand recommendation this month.

Each monthly run begins with 800 prompt-surface observations (604 unique questions) across the benchmark's defined AI/search surface universe in August 2026, compared with 763 prompt-surface observations (541 unique questions) in July. Of August's prompts, 694 mentioned a tracked brand or competitor; 634 were relevant and 60 were irrelevant. The public metrics use the 584 observations that survive both qualification stages. In July, the corresponding qualified set was 573 observations.

Key Findings

Benchmark Context

The benchmark separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set of 573 observations in July and 584 in August.

Benchmark-Level Metrics

The qualified observation count grew by 11 between months, and the share of answers shaped as recommendations rose markedly, from 38.9% to 46.2%. This suggests AI systems are answering more digital marketing prompts with explicit brand recommendations, even as the share of observations yielding a valid recommendation shortlist ticked down slightly.

AI Recommendation Trend

Valid Recommendation Coverage by Brand

Only Cardinal Digital Marketing moved outside the range of normal month-to-month variation this month, declining 2.9 points. SmartSites, LYFE Marketing, and M16 Marketing all recorded lower coverage figures, and AIS Media and Joseph Studios recorded modest gains, but all of these other movements stayed within the expected range for each brand's observation volume.

What Changed This Month

SmartSites: Breadth Holds While Coverage Slips

SmartSites' valid recommendation coverage fell from 62.1% in July to 58.7% in August, a decline of 3.4 points. The drop came despite raw mention presence actually rising from 70.7% to 71.8%, meaning AI systems mentioned the brand more often but recommended it less frequently.

The top-three rate held steady at 43.3% versus 43.1%, and rank-one rate dipped marginally from 22.3% to 22.1%. The gap between presence and coverage widened, and the valid recommendation count fell from 356 to 343 observations.

Highest-priority diagnostic: Which prompt types now mention SmartSites without recommending it, and which brand takes the recommendation slot when SmartSites is only mentioned?

Cardinal Digital Marketing: The Notable Decliner

Cardinal Digital Marketing was the only brand to move beyond normal month-to-month variation, falling from 8.0% coverage in July to 5.1% in August. Valid recommendations dropped from 46 to 30 observations, a sharp contraction in a single month.

The rank-one rate fell from 1.8% to 0.9%, and raw mention presence declined from 8.2% to 5.5%. Notably, the top-three rate actually improved slightly from 3.1% to 3.6%, indicating that when Cardinal was recommended, it tended to rank higher, but it was recommended far less often. Net sentiment softened from 0.98 to 0.91 across the same period.

Highest-priority diagnostic: Which specific prompts or AI surfaces stopped recommending Cardinal, and where did those recommendation slots redirect?

LYFE Marketing: Second Position, Smaller Share

LYFE Marketing held second place but saw coverage decline from 32.1% in July to 27.6% in August. The 4.5-point drop was the largest absolute movement among stable brands, though it remained within the range of normal month-to-month variation for the brand.

Raw mention presence fell from 49.6% to 44.0%, and rank-one rate dropped from 10.1% to 7.4%. Valid recommendations declined from 184 to 161. The brand's net sentiment score held steady near 0.7, suggesting the decline was about frequency of recommendation rather than tone.

Highest-priority diagnostic: Which surfaces drove the recommendation frequency decline, and did the drop concentrate in specific prompt categories?

M16 Marketing and AIS Media: Diverging Tail Movements

M16 Marketing declined from 8.4% to 6.3% coverage, with valid recommendations falling from 48 to 37. The rank-one rate rose slightly from 2.6% to 2.7%, indicating that when M16 was recommended, it held its position, but overall frequency declined.

AIS Media was the largest riser, climbing from 1.6% to 2.1% coverage on 12 valid recommendations in August versus 9 in July. The top-three rate more than tripled from 0.4% to 1.4%, and the brand secured its first rank-one recommendation of the series. This gain remained within normal month-to-month variation for the brand's observation volume.

Highest-priority diagnostic (M16): Where did M16's recommendation slots concentrate in July, and what changed in August? Highest-priority diagnostic (AIS Media): Which prompts or surfaces produced the new top-three placements, and are they repeatable?

Grater Digital: Zero Coverage While Competitors Compete for the Top Slot

Grater Digital recorded 0.0% valid recommendation coverage in August 2026, unchanged from 0.0% in July, making it the only one of the seven tracked brands with no recommendation presence in either month. Across both months' qualified observations, Grater Digital did not register a single valid recommendation, top-three placement, or rank-one result.

SmartSites records 58.7% valid recommendation coverage, while Grater Digital stands at 0.0%. The more important issue is what that gap means for Grater Digital's recommendation position: every one of the 584 qualified observations in August that could have produced a recommendation went instead to one of the other six tracked brands. Other brands in this benchmark are losing or gaining points of share within an active recommendation set; Grater Digital is not yet present in that set at all, a materially different competitive starting position than any of the other six brands, and one that recommendation-shaped answer growth cannot close on its own.

Highest-priority diagnostic: What would it take for Grater Digital to register even a single valid recommendation, and which prompt types or AI surfaces represent the highest-probability entry points?

Buyer-Intent Interpretation

In August 2026, all 584 qualified observations fell into the Brand Recommendation cluster. None of the qualified prompts in either month mapped to Pricing & Value or Multi-Brand Comparison clusters. This means the public benchmark can currently speak to which brands AI systems recommend outright, but it cannot yet answer how those systems compare pricing, weigh value propositions, or position brands against each other in head-to-head formats.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movement: several brands operate on small observation counts (AIS Media with 12 valid recommendations, Joseph Studios with 8). Their percentage movements, while directionally informative, rest on small bases and can shift with a handful of new observations.
• Qualified denominator vs raw collection: the 584 qualified observations in August derive from 800 source prompts. Brand coverage percentages are calculated within the qualified set, not the raw collection.
• Directional analysis: month-over-month movement identifies changes worth investigating. It does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages raise questions that the benchmark data alone cannot answer. Which high-intent prompts does each brand win? Which competitor takes the recommendation when a brand loses? What attributes do AI systems associate with each option, and which external sources shape those answers?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy.

Request an AI visibility audit