How AI Search Is Recommending Enterprise SEO Marketing Agencies: Monthly Trends

Executive Summary

WebFX remains the category's coverage leader in October 2026, holding 71.9% valid recommendation coverage, 25.9 points ahead of second-ranked Searchbloom at 46.0%. That lead has narrowed slightly since the July 2026 baseline, when WebFX held 73.8% coverage and Searchbloom held 44.6%, a 29.2-point gap. WebFX's position against the baseline is stable: the 1.9-point difference between July and October falls within normal month-to-month variation.

On a sequential basis, WebFX gained 5.8 points, from 66.1% in September 2026 to 71.9% in October 2026, reversing two prior months of decline (73.8% in July, 71.9% in August, 66.1% in September). Searchbloom also moved sequentially, adding 6.6 points from 39.4% in September 2026 to 46.0% in October 2026, recovering from the series' low point. Both moves are large enough to stand out from typical month-to-month movement, though neither brand's position has shifted meaningfully against the July 2026 baseline.

The sharpest decline against the baseline is First Page Sage, down 18.1 points from 43.7% coverage in July 2026 to 25.6% in October 2026, with its top-three rate down 9.0 points and its rank-one rate down 8.8 points over the same span. Directive, iPullRank, and Seer Interactive also recorded declines beyond normal month-to-month variation against the baseline: Directive down 5.9 points across three consecutive down months, iPullRank down 5.6 points, and Seer Interactive down 5.8 points.

Across the four-month series (July, August, September, and October 2026; 446, 455, 502, and 480 qualified observations respectively), the benchmark records four significant decliners and no brand with a significant gain against the baseline. The current month's headline is a stable leader with the middle of the field continuing to compress: the coverage gap between First Page Sage and Searchbloom has widened every month and now stands at 20.4 points in Searchbloom's favor.

Each monthly run begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe. In October 2026, that run carried 573 unique questions; 800 mentioned a tracked brand or competitor; 492 were relevant and 308 were irrelevant. The public metrics use the 480 observations that survive both qualification stages. In July 2026, the equivalent run began with 800 observations (574 unique questions), with 446 relevant and 354 irrelevant, producing 446 qualified observations. August 2026 produced 455 qualified observations and September 2026 produced 502.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

August 2026 (455 qualified observations) and September 2026 (502 qualified observations) sit between these two months.

Benchmark-Level Metrics

September 2026 sat at a 53.8% recommendation-shaped answer share, so the current month represents a step above both the baseline and the intermediate month on that measure.

AI Recommendation Trend

Questions This Section Answers

• Which brands recorded movement beyond normal month-to-month variation against the July 2026 baseline?
• How did the middle of the field shift between First Page Sage and Searchbloom across the four-month series?

The category leader held a stable position while the middle of the field compressed against the July 2026 baseline.

Four brands recorded movement beyond normal month-to-month variation from July 2026 to October 2026: Directive, First Page Sage, iPullRank, and Seer Interactive, all downward.

What Changed This Month

Questions This Section Answers

• Why did WebFX's presence decline while its rank-one rate climbed?
• Which brand recorded the largest decline against the baseline, and how far did its coverage fall?
• Which brand posted the strongest sequential gain, and where did that gain show up in placements?

WebFX

WebFX held the top position in October 2026, though its lead over second-ranked Searchbloom narrowed slightly against the July 2026 baseline even as its own standing remained stable. Its valid recommendation coverage was 73.8% (329 of 446 qualified observations) in July 2026 and 71.9% (345 of 480) in October 2026, down 1.9 points. On a sequential basis, WebFX gained 5.8 points from 66.1% in September 2026.

Presence softened while recommendation quality improved. WebFX was mentioned in 75.2% of October 2026 observations, down from 81.6% in July 2026, a 6.4-point decline. At the same time, its rank-one rate climbed to 38.1% from 24.2%, a 13.9-point gain, and its top-three rate rose 5.4 points to 55.6%.

The distinction to notice is that WebFX appears in fewer answers overall but is decisively more likely to be named first when it does appear. The weaker presence signal and the stronger rank-one signal are separate measures pointing in different directions, and the recommendation evidence in October 2026 is concentrated at the top of shortlists rather than spread through them.

Highest-priority diagnostic: Which prompt themes drove the presence decline, and are those the same themes where rank-one frequency strengthened?

First Page Sage

First Page Sage recorded the largest decline against the baseline, and the movement was significant. Coverage fell to 25.6% (123 of 480 qualified observations) from 43.7% in July 2026 (195 of 446), down 18.1 points. The single largest month-over-month move in the series came earlier, a 12.9-point drop from August 2026 to September 2026; the current month added a further 3.3 points of decline to 25.6%.

Presence and placements fell together. First Page Sage was mentioned in 27.7% of October 2026 observations, down from 48.2% in July 2026, a 20.5-point drop. Its top-three rate fell 9.0 points to 17.9%, and its rank-one rate fell 8.8 points to 6.7%.

The category observation worth noting is that the coverage gap between First Page Sage and Searchbloom has widened every month and now stands at 20.4 points, with Searchbloom ahead. That is a repositioning of the middle of the field, not an explanation of its cause.

Highest-priority diagnostic: Which surfaces and prompt types account for the sustained decline, and which competitor now captures the recommendations First Page Sage previously held?

Directive

Directive moved beyond normal month-to-month variation against the baseline, and the movement was downward. Coverage fell 5.9 points from 29.4% (131 of 446 qualified observations) in July 2026 to 23.5% (113 of 480) in October 2026. This is the third consecutive monthly decline in the series.

Presence fell in parallel, from 30.7% to 24.8% of observations across the period, also down 5.9 points. Top-three rate fell 2.5 points to 12.3% and rank-one rate slipped 0.6 points to 5.0%.

The distinction to notice is that Directive's presence and coverage declined by the same margin, meaning the loss reflects fewer appearances rather than weaker placement among the appearances it did make. The absolute counts are moderate: 113 valid recommendations in October 2026 versus 131 in July 2026.

Highest-priority diagnostic: Which surfaces stopped surfacing Directive across the three-month decline, and does the pattern sit in one surface family or several?

iPullRank

iPullRank recorded a significant decline against the baseline. Coverage fell 5.6 points from 16.6% (74 of 446) in July 2026 to 11.0% (53 of 480) in October 2026. The brand was flat between August and September 2026 at 10.8% and ticked up 0.2 points sequentially to 11.0% in the current month.

Presence fell from 16.6% to 12.3% of observations across the period. Rank-one rate held essentially flat, up 0.2 points to 2.9%. The absolute counts are small: 53 valid recommendations in October 2026 versus 74 in July 2026.

The sharpest movement for this brand happened earlier, in August 2026, when its single-month coverage move reached 5.8 points. The current month reads as a stable floor rather than an ongoing slide.

Highest-priority diagnostic: What changed in August 2026 to cut recommendation counts, and what has kept them flat since?

Seer Interactive

Seer Interactive also recorded a significant decline against the baseline. Coverage fell 5.8 points from 16.8% (75 of 446) in July 2026 to 11.0% (53 of 480) in October 2026. The brand has ticked up two consecutive months sequentially, most recently 0.6 points to 11.0%.

Presence fell from 16.8% to 11.9% of observations across the period. Top-three rate rose 0.3 points to 7.3%, and rank-one rate rose 0.9 points to 2.3%. The absolute counts are small: 53 valid recommendations in October 2026 versus 75 in July 2026.

The distinction to notice is that Seer Interactive's placement quality is improving while its total recommendation count remains materially below the July 2026 level. Presence, not placement, is carrying the decline.

Highest-priority diagnostic: Which evidence sources or surface behaviours are associated with the reduced presence?

Searchbloom

Searchbloom is the category's strongest mover this month, and its sequential gain was significant. Coverage reached 46.0% (221 of 480 qualified observations) in October 2026, up 6.6 points from 39.4% in September 2026. Against the July 2026 baseline, coverage was up 1.4 points from 44.6% (199 of 446).

The gain is visible in placement, not just presence. Top-three rate rose 6.3 points against the baseline to 29.6%. Rank-one rate slipped 2.1 points to 7.1% across the same span, while presence was effectively flat, up 0.6 points to 47.5%.

The distinction to notice is that Searchbloom is converting a similar share of appearances into top-three placements more often than in July 2026, even though its chance of being named first did not rise with it. September 2026 was the low point of the series for Searchbloom at 39.4% coverage, and October 2026 more than recovered that step.

Highest-priority diagnostic: Which prompts and surfaces drove the top-three gain, and which competitors Searchbloom displaced on those shortlists?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did the qualified observations fall into?
• What can the benchmark not yet answer about pricing, value, or head-to-head comparisons?

Every qualified observation in each month of this series fell into the Brand Recommendation cluster. The benchmark did not generate qualified observations in the Pricing & Value or Multi-Brand Comparison clusters for July, August, September, or October 2026. The public benchmark therefore shows which agencies win direct recommendations, but it cannot yet answer questions about price positioning, value perception, or head-to-head comparison outcomes across this vertical.

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.

Methodology, metric definitions, and category standards for this research program are documented at: Methodology, Metrics, and Standards.

Interpretation Notes

• Coverage percentages are computed within the qualified benchmark set of 480 observations for October 2026, distinct from the 800 raw prompt-surface observations collected.
• Small-count brands (Avenue Z at 2 valid recommendations, iPullRank and Seer Interactive at 53 each) carry more measurement uncertainty; their movement should be read alongside the absolute counts, not the rate alone.
• Significant movement flags changes beyond normal month-to-month variation; it identifies changes worth investigating, not their cause.

Next Step

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

Beneath each aggregate percentage are the questions that matter commercially: which high-intent prompts are won and lost, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. A benchmark movement is the signal to investigate, not the explanation itself.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's directional signals into a concrete picture of where a brand holds authority, where it is vulnerable, and what is driving the difference.

Request an AI visibility audit