IKO AI Market Strategy Report - Roofing Companies

Answer Capsule

IKO holds 11.9% valid recommendation coverage in the September 2026 Roofing Companies benchmark, placing it sixth of ten tracked brands on 539 qualified observations. The brand is visible in 32.5% of AI responses but converts that presence into a valid recommendation shortlist less than half as often, and its top-three rate of 1.1% shows it is almost never placed at the front of a recommendation set. IKO's clearest win is a stable mid-tier position with a positive net sentiment score of 0.46, and its clearest weakness is a recommendation conversion gap that leaves it named but not chosen. The clearest opportunity is closing the distance between raw mention presence and shortlist eligibility in the brand recommendation cluster where the category's buying questions are concentrated.

Who This Report Is For

This report is written for IKO marketing, brand, and channel leadership, and for roofing category teams evaluating how manufacturer brands are surfaced and shortlisted in AI-generated recommendations.

Report Card

Executive Summary

IKO is visible but under-recommended in the September 2026 Roofing Companies benchmark. The brand appeared in 175 of 539 qualified observations, a raw mention presence rate of 32.5%, but earned a valid recommendation in only 64 of them, a valid recommendation coverage of 11.9%. That is a conversion gap of roughly twenty points between being named and being shortlisted, and it is the central finding of this report.

The recommendation placement picture is weaker still. IKO recorded a top-three rate of 1.1% and a rank-one rate of 0.2%, meaning that in the overwhelming majority of cases where it does enter a valid recommendation set, it sits outside the first three positions. Its average recommended rank of 4.92 is the lowest among the ten tracked brands with any rank-eligible recommendations, confirming that IKO's recommendations cluster toward the back of the list.

Sentiment is not the problem. IKO's net sentiment score of 0.46 is positive, with 81 positive mentions, 93 neutral mentions, and a single negative mention across the period. The brand is framed favorably or neutrally when it appears. The gap is one of selection and placement, not of framing quality.

The category context makes that gap more consequential. The benchmark's top four brands, GAF, Owens Corning, CertainTeed, and Malarkey, sit between 42.7% and 54.5% valid recommendation coverage. IKO at 11.9% is separated from that cluster by more than thirty points, and the gap between IKO and TAMKO directly behind it is only 1.3 points. IKO holds sixth place by a narrow margin rather than by a durable lead.

Platform behavior varies in ways that matter. IKO's strongest recommendation signal appears on Google AI Mode, where it recorded 9 valid recommendations and a valid recommendation coverage of 6.2%, and on Perplexity, where it recorded 16 valid recommendations at 28.1% coverage. Its weakest signals appear on Gemini, where it earned 3 valid recommendations at 4.3% coverage, and on ChatGPT, where it earned 2 valid recommendations at 4.7% coverage. The brand is being retrieved on some surfaces and passed over on others.

The clearest cluster gap is structural. All 539 qualified observations in September 2026 fell into the Brand Recommendation cluster. The benchmark recorded zero qualified observations in Pricing and Value and zero in Multi-Brand Comparison, so the public data cannot show how IKO performs when buyers ask about cost or when they compare named brands head to head. Those are precisely the question types where a mid-tier manufacturer would expect to compete.

What IKO Is Winning

Questions This Section Answers

• Where does IKO show stable or positive AI visibility across the three-month benchmark?
• Which platform produces IKO's strongest recommendation and sentiment signal?

IKO's evidence-backed wins are narrow but real.

The brand holds a stable mid-tier position across the three-month series. Valid recommendation coverage moved from 12.0% in July 2026 to 11.9% in September 2026, a change of 0.1 points that the benchmark did not flag as significant. In a category where CertainTeed and Malarkey each swung from zero coverage in August 2026 back to full coverage in September 2026, IKO's stability is a genuine if modest signal of consistency.

IKO also carries positive framing. Its net sentiment score of 0.46 reflects 81 positive mentions against a single negative mention, and its positive visibility rate of 15.0% exceeds its negative visibility rate of 0.2% by a wide margin. The brand is not being framed as a cautionary example or a comparison anchor.

Perplexity is IKO's strongest platform by recommendation behavior. The brand recorded 16 valid recommendations there at 28.1% coverage, with a net sentiment score of 0.80, the highest platform-level sentiment reading in its profile. Google AI Mode contributed the largest absolute count of valid recommendations at 9, with a net sentiment score of 0.45.

These are real footholds. They are also small relative to the category leaders, and the report should be read with that proportion in mind.

Where IKO Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is IKO mentioned in AI responses but not shortlisted?
• How does IKO's recommendation conversion compare with GAF?
• Which AI platforms leave IKO underdeveloped?

The primary gap is recommendation conversion. IKO is mentioned in 32.5% of qualified observations but shortlisted in only 11.9%. GAF, by comparison, is mentioned in 97.8% of observations and shortlisted in 54.5%, a conversion ratio of roughly 0.56. IKO's ratio is roughly 0.37. The brand is being retrieved into AI answers and then passed over when the answer moves from context to recommendation.

The secondary gap is placement. IKO's top-three rate of 1.1% and rank-one rate of 0.2% mean that even when it enters a recommendation set, it is almost never positioned where a buyer scanning a short list would encounter it first. Its average recommended rank of 4.92 places it near the bottom of the ten-brand field on this measure. Malarkey, which sits one position above IKO on coverage at 42.7%, shows the same pattern more acutely with a top-three rate of 4.1%, which suggests the placement problem is not unique to IKO but is more severe for the brand.

The third gap is platform concentration. IKO's recommendation signal is thin or absent across several surfaces. On Gemini it earned 3 valid recommendations at 4.3% coverage. On ChatGPT it earned 2 valid recommendations at 4.7% coverage. On Copilot it earned 11 valid recommendations at 15.5% coverage, and on AI Overviews 23 valid recommendations at 15.0% coverage. The brand is not uniformly absent, but its presence is uneven in ways that leave specific surfaces underdeveloped.

The fourth gap is raw presence erosion. IKO's raw mention presence rate fell from 37.1% in July 2026 to 32.5% in September 2026, a decline of 4.6 points. The benchmark flagged this as a diagnostic question rather than a confirmed trend, but a falling presence rate combined with a flat recommendation rate suggests the brand may be losing retrieval ground even as its shortlist performance holds steady.

Biggest Opportunity

Questions This Section Answers

• What is IKO's clearest path to closing its recommendation gap?
• Which AI surfaces offer the best chance for IKO to improve shortlist placement?

IKO's single clearest opportunity is to convert existing mention presence into valid recommendation eligibility within the Brand Recommendation cluster.

The brand already appears in roughly one third of qualified observations. That is enough retrieval footprint to work with. The gap is that those appearances are not resolving into shortlist placement. Closing even a portion of the twenty-point distance between IKO's 32.5% presence rate and its 11.9% recommendation coverage would move the brand meaningfully closer to the mid-tier cluster and away from the narrow margin it currently holds over TAMKO.

This is a recommendation-readiness problem rather than a visibility problem. It points to the owned answer layer, the comparison and specification content that AI systems draw on when constructing a shortlist, and the third-party source footprint that supports it. The platform-level data suggests Perplexity and Google AI Mode are the surfaces where IKO's existing signal is strongest and where incremental gains are most likely to compound.

Competitive Landscape

Questions This Section Answers

• How does IKO's placement metrics and sentiment compare to other roofing brands in AI recommendations?
• Where does IKO sit in the roofing brand ranking?
• What separates IKO from the leading roofing brands?

GAF and Owens Corning hold recommendation-stage strength in the roofing category, with CertainTeed close behind and Malarkey forming the fourth member of the leading cluster. IKO sits in the middle tier, well separated from that group and holding a narrow lead over TAMKO.

Average recommended rank covers rank-eligible recommendations only.

IKO's position in the table shows a brand with a positive sentiment reading that sits mid-pack, a top-three rate that places it in the lower half of the field, and the lowest average recommended rank of any brand with rank-eligible recommendations. The numbers describe a brand that is named, framed acceptably, and then placed near the end of the list.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What are the best shingles to buy?" Result: IKO was retrieved into the response and entered the valid recommendation set, but did not reach a top-three position.

Perplexity / Brand Recommendation Prompt: "How do you pick a good roofer?" Result: IKO appeared with positive framing and a net sentiment reading of 0.80 on this surface, its strongest platform-level sentiment result.

ChatGPT / Brand Recommendation Prompt: "roofing shingles" Result: IKO was mentioned in the response but earned a valid recommendation in only 2 of 43 ChatGPT observations, a coverage rate of 4.7%.

Gemini / Brand Recommendation Prompt: "What are the best shingles to buy?" Result: IKO recorded 3 valid recommendations across 70 Gemini observations, a coverage rate of 4.3%, with no rank-one placements.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map IKO's prompt-level outcomes across all six tracked surfaces to identify exactly which questions produce a mention without a recommendation, and which competitor takes the shortlist position when IKO is passed over.

Phase 2: Recommendation Readiness Plan Prioritize the prompt types and surfaces where IKO's existing presence is highest, particularly Perplexity and Google AI Mode, and define the shortlist eligibility criteria those surfaces appear to reward.

Phase 3: Owned Answer Layer Buildout Strengthen the product specification, comparison, and selection content that AI systems draw on when constructing a roofing recommendation set, with attention to the mid-list placement pattern.

Phase 4: Citation and Authority Layer Development Cultivate the third-party source footprint that supports retrievability, focusing on the evidence types that appear in responses where IKO is currently absent or under-placed.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track valid recommendation coverage, top-three rate, and average recommended rank month over month to confirm whether conversion gains hold and whether the raw presence decline reverses.

Why This Matters

Buyers researching roofing brands increasingly receive a short list rather than a search results page. When an AI system names four or five manufacturers in response to a question about the best shingles to buy, the brands outside that list are not part of the consideration set, regardless of how often they were mentioned earlier in the answer. IKO's data shows a brand that is retrieved, framed positively, and then left off the shortlist in the majority of cases.

Presence alone does not resolve that. The benchmark separates raw mention presence from valid recommendation coverage for exactly this reason, and IKO's twenty-point gap between the two is the clearest signal in its profile. The next move is targeted correction across the prompt layer, the owned answer layer, and the citation layer, with the goal of moving IKO from named to shortlisted in the questions where buyers are already finding it.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why does IKO's positive sentiment score not translate into recommendations?
• How are IKO's AI mentions classified between positive, neutral, and negative?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For IKO in September 2026, that calculation is (81 × 1 + 93 × 0 + 1 × -1) / 175, which produces a score of 0.4571.

This matters because unclassified mention counts are misleading. A brand that appears in 175 responses sounds healthy until the mentions are separated into positive recommendations, neutral references, and cautionary notes. IKO's 93 neutral mentions are the largest single category in its profile, and a neutral mention is not the same as a recommendation. It is a reference, often a passing one, that does not place the brand in a buyer's consideration set.

Share of voice is a diagnostic metric, not a business KPI. Knowing that IKO appears in roughly a third of AI responses tells you the brand is retrievable. It does not tell you whether the brand is being chosen. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal outcomes, and counting them all as wins produces a measurement that flatters the brand without informing strategy.

Classified sentiment is required before interpreting AI visibility. IKO's positive framing is a genuine asset, and its 0.46 score is respectable in a category where TAMKO sits at 0.38 and DECRA at 0.25. But framing quality and recommendation conversion are separate measurements, and IKO's strength on the first has not yet translated into strength on the second.

Sentiment by Platform

Questions This Section Answers

• Which platform gives IKO its strongest sentiment reading?
• How does sentiment vary across AI platforms where IKO appears?

Methodology

1. This report is a benchmark-based analysis of IKO's position in the LLM Authority Index AI Market Discovery Index for Roofing Companies, drawing on the September 2026 measurement and the July 2026 baseline.
2. The reporting window covers the September 2026 measurement cycle, with comparison points from July 2026 and August 2026 where the benchmark provides them.
3. Six AI and search surface families were tracked in September 2026: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Grok observations were recorded in August 2026 and are tracked separately, not counted toward the six-family qualified surface breadth.
4. The September 2026 run began with 800 prompt-surface observations and produced 539 qualified observations after qualification. The July 2026 baseline produced 533 qualified observations from the same starting volume.
5. The competitor universe consists of ten tracked brands: Atlas Roofing, CertainTeed, DECRA, Erie Home, GAF, IKO, Malarkey, Owens Corning, Power Home Remodeling, and TAMKO.
6. One public high-intent cluster carried qualified observations in September 2026: Brand Recommendation. The Pricing and Value and Multi-Brand Comparison clusters recorded zero qualified observations in both July and September 2026.
7. Stage 0 extraction produced the prompt-level observations that retain the query, surface, answer, brand outcome, recommendation placement, sentiment, and citations or attributable evidence sources where exposed.
8. A mention is counted when a tracked brand appears anywhere in an AI response to a qualified observation, regardless of whether the brand is recommended.
9. A valid recommendation is counted when a brand appears in a valid recommendation shortlist within a qualified observation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Brand-level percentages use the 539 qualified observations as the public denominator, not the 800 raw collected prompts, so changes in the qualified set can affect rates even when raw prompt counts are stable.
11. CertainTeed and Malarkey each recorded 0.0% valid recommendation coverage in August 2026 before recovering to 52.1% and 42.7% respectively in September 2026. The benchmark notes that the cause of these swings cannot be determined from the data alone and may reflect prompt mix, surface coverage changes, or source shifts.
12. The benchmark does not measure market share, sales attribution, organic search ranking positions, social mention volume, private or sponsored channels, or causality from a metric movement alone. A single monthly movement should not be treated as a trend on its own.

See Where IKO Stands in AI Recommendations

The public benchmark shows where IKO sits in the category. A company-level AI visibility audit maps the prompt, surface, competitor, placement, and evidence-source patterns behind those numbers, identifying which gaps are addressable through owned content, which require third-party source cultivation, and which surfaces deserve attention first.